Microservices with Spring Cloud, Netflix OSS and Kubernetes
•
4 likes•1,552 views
Spring Cloud/Netflix OSS way of building microservices on Kubernetes -- preso from Spring One Platform 2016
Report
Share
Report
Share
Download to read offline
Recommended
Microservices with Apache Camel, DDD, and Kubernetes
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Fuse integration-services
Making it easy to integrate legacy and iterative microservices with REST/CQRS and deploy to Docker/Kubernetes/OpenShift all on a developer laptop!
Managing your camels in the cloud with CI/CD
Developing integration microservices using CI/CD with apache camel, open shift, fabric8.io, jenkins, et al.
An evolution of application networking: service mesh
A quick overview of application networking and microservice resilience and how a service mesh like Istio.io can help alleviate some of this pain.
SOA to Microservices
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
Microservices Journey Summer 2017
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Java one kubernetes, jenkins and microservices
This document discusses microservices with Docker, Kubernetes and Jenkins. It provides an overview of Kubernetes concepts like pods, replication controllers, services and labels. It also discusses how Kubernetes can help manage containers across multiple hosts and address challenges of scaling, avoiding port conflicts and keeping containers running. The document promotes using Jenkins and Kubernetes for continuous integration and delivery of containerized microservices applications. It recommends Fabric8 as a tool that can help create and deploy microservices on Kubernetes.
DevNexus 2015
The document discusses continuous delivery of integration applications using JBoss Fuse and OpenShift. It covers the cost of change in software development, how JBoss Fuse can help with integration challenges, and how OpenShift enables continuous delivery through automation and a developer self-service platform as a service model. The presentation demonstrates how to build a continuous delivery pipeline using tools like Git, Jenkins, Fabric8, and OpenShift to deploy and test applications.
Recommended
Microservices with Apache Camel, DDD, and Kubernetes
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Fuse integration-services
Making it easy to integrate legacy and iterative microservices with REST/CQRS and deploy to Docker/Kubernetes/OpenShift all on a developer laptop!
Managing your camels in the cloud with CI/CD
Developing integration microservices using CI/CD with apache camel, open shift, fabric8.io, jenkins, et al.
An evolution of application networking: service mesh
A quick overview of application networking and microservice resilience and how a service mesh like Istio.io can help alleviate some of this pain.
SOA to Microservices
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
Microservices Journey Summer 2017
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Java one kubernetes, jenkins and microservices
This document discusses microservices with Docker, Kubernetes and Jenkins. It provides an overview of Kubernetes concepts like pods, replication controllers, services and labels. It also discusses how Kubernetes can help manage containers across multiple hosts and address challenges of scaling, avoiding port conflicts and keeping containers running. The document promotes using Jenkins and Kubernetes for continuous integration and delivery of containerized microservices applications. It recommends Fabric8 as a tool that can help create and deploy microservices on Kubernetes.
DevNexus 2015
The document discusses continuous delivery of integration applications using JBoss Fuse and OpenShift. It covers the cost of change in software development, how JBoss Fuse can help with integration challenges, and how OpenShift enables continuous delivery through automation and a developer self-service platform as a service model. The presentation demonstrates how to build a continuous delivery pipeline using tools like Git, Jenkins, Fabric8, and OpenShift to deploy and test applications.
A Microservice Journey
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
Microservices, DevOps, and Containers with OpenShift and Fabric8
The document discusses microservices, DevOps, and containers. It introduces the speaker, Christian Posta, and his background working with microservices at a large company. It then asks questions about the organization's motivations for considering microservices and discusses challenges with keeping up with change. The document promotes OpenShift and Fabric8 as open-source platforms that can help automate build, deployment, and integration processes in a cloud-native way. It highlights features like CI/CD, management tools, and libraries to simplify developing microservices applications.
The Hardest Part of Microservices: Calling Your Services
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
Cloud Native Camel Riding
Using apache camel for microservices and integration then deploying and managing on Docker and Kubernetes. When we need to make changes to our app, we can use Fabric8 continuous delivery built on top of Kubernetes and OpenShift.
Microservices and APIs
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
Chicago Microservices Integration Talk
This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.
Real-world #microservices with Apache Camel, Fabric8, and OpenShift
What are and aren't microservices?
Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this
Simplify integrations-final-pdf
The document discusses Apache Camel, an open-source integration library that can be used to integrate disparate systems that use different protocols and data formats. It provides an overview of what integration is, describes how Camel works using a domain-specific language and components, and demonstrates how to define simple routes using Java or XML. The presentation concludes with information on management and tooling support for Camel.
Atlanta Microservices Day: Istio Service Mesh
The document discusses the evolution of application networking from individual microservices libraries to shared proxies like Envoy and service meshes like Istio. It notes that as applications adopt microservices architectures, many common concerns around distributed systems must be addressed, such as service discovery, load balancing, and fault tolerance. Initially, different frameworks offered individual libraries to handle these issues, but this led to inconsistencies and increased complexity. Envoy proxy and the Istio service mesh aim to provide a standardized and shared way to address these cross-cutting distributed system concerns for all services regardless of language or framework.
Microservices with Apache Camel, Docker and Fabric8 v2
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
Solving Enterprise Integration with Apache Camel
Talk given at Phoenix Desert Code Camp on enterprise integration, enterprise service bus, and Apache Camel
Why real integration developers ride Camels
This document provides an agenda and summaries of key points from a presentation on integrating systems using Apache Camel. The presentation discusses how Apache Camel is an open-source integration library that uses enterprise integration patterns to connect disparate systems. It highlights features of Camel including components, data formats, and testing frameworks. Customer examples are presented that demonstrate large returns on investment and cost savings from using Camel for integration projects. The presenters argue that Camel provides flexibility, reusability and rapid development of integrations.
The Hardest Part of Microservices: Your Data - Christian Posta, Red Hat
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
The hardest part of microservices: your data
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Micro Services in .NET Core and Docker
This document discusses using .NET Core and Docker for microservices. It begins with an overview of why Docker and microservices are useful. It then discusses why .NET Core and Microsoft technologies are good choices for building microservices. The document demonstrates creating a simple .NET Core app as a Docker container. It also discusses microservices patterns like having a database per service and isolating service instances. The document concludes with information about prerequisites for the demos and asking if there are any questions.
Microservices with Spring
This document discusses microservices and provides an overview of related concepts. It begins with definitions of microservices and comparisons to monolithic applications. Key features of microservices like independent processes communicating over HTTP are outlined. The document then covers reasons for using HTTP, REST, and JSON in microservice architectures. An example online shopping application is used to illustrate how it could be decomposed into microservices. Challenges of monolithic applications are contrasted with advantages of the microservice approach. The document concludes with a summary of Spring Cloud which provides tools to help implement microservices patterns.
Camel oneactivemq posta-final
This document provides an overview of a presentation given at CamelOne 2013 in Boston on June 10-11, 2013 about the internals of Apache ActiveMQ. The presentation covered the major subcomponents of ActiveMQ including transports, the broker core, persistence adapters, and networking brokers. It provided details on architecture, configuration, and implementation of these different aspects of ActiveMQ.
An eventful tour from enterprise integration to serverless and functions
In this talk, Marius (@mariusbogoevici) and I (@christianposta) discuss the value of event-driven architectures (both business and technical merits) and how the landscape of integration, streaming, and messaging and now functions/lambdas have evolved to implement EDA while balancing agility, utilization, and simplicity.
MVC 6 - the new unified Web programming model
Presentation for Dutch Microsoft TechDays 2015:
With ASP.NET 5 comes MVC 6 with a programming model that unifies Web Pages, MVC and Web API. Each of these has been rebuilt to reflect Microsoft's vision of lean and composable web applications. In this session you will see the changes that have been made to the programming model. We will cover topics such as the new POCO controllers, View Components, dependency injection and much more. Plus, you are going to see the significant changes to the ASP.NET runtime on which MVC 6 is built.
Microservices and Integration: what's next with Istio service mesh
This document discusses microservices architectures and emerging technologies to support them. It introduces Envoy proxy as a sidecar proxy that implements common microservices patterns like circuit breaking and load balancing. It then introduces Istio as a control plane that manages Envoy proxies and provides higher-level capabilities like traffic management, security, and observability across microservices. The presentation argues that 2018 will be the year of service meshes, with Istio being a prominent example for managing microservices communication using Envoy proxies.
Real world #microservices with Apache Camel, Fabric8, and OpenShift
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
Microservices Journey NYC
Christian Posta is a principal middleware specialist and architect who has worked with large microservices architectures. He discusses why companies are moving to microservices and cloud platforms like Kubernetes and OpenShift. He covers characteristics of microservices like small autonomous teams and decentralized decision making. Posta also discusses breaking applications into independent services, shedding dependencies between teams, and using contracts and APIs for communication between services.
More Related Content
What's hot
A Microservice Journey
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
Microservices, DevOps, and Containers with OpenShift and Fabric8
The document discusses microservices, DevOps, and containers. It introduces the speaker, Christian Posta, and his background working with microservices at a large company. It then asks questions about the organization's motivations for considering microservices and discusses challenges with keeping up with change. The document promotes OpenShift and Fabric8 as open-source platforms that can help automate build, deployment, and integration processes in a cloud-native way. It highlights features like CI/CD, management tools, and libraries to simplify developing microservices applications.
The Hardest Part of Microservices: Calling Your Services
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
Cloud Native Camel Riding
Using apache camel for microservices and integration then deploying and managing on Docker and Kubernetes. When we need to make changes to our app, we can use Fabric8 continuous delivery built on top of Kubernetes and OpenShift.
Microservices and APIs
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
Chicago Microservices Integration Talk
This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.
Real-world #microservices with Apache Camel, Fabric8, and OpenShift
What are and aren't microservices?
Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this
Simplify integrations-final-pdf
The document discusses Apache Camel, an open-source integration library that can be used to integrate disparate systems that use different protocols and data formats. It provides an overview of what integration is, describes how Camel works using a domain-specific language and components, and demonstrates how to define simple routes using Java or XML. The presentation concludes with information on management and tooling support for Camel.
Atlanta Microservices Day: Istio Service Mesh
The document discusses the evolution of application networking from individual microservices libraries to shared proxies like Envoy and service meshes like Istio. It notes that as applications adopt microservices architectures, many common concerns around distributed systems must be addressed, such as service discovery, load balancing, and fault tolerance. Initially, different frameworks offered individual libraries to handle these issues, but this led to inconsistencies and increased complexity. Envoy proxy and the Istio service mesh aim to provide a standardized and shared way to address these cross-cutting distributed system concerns for all services regardless of language or framework.
Microservices with Apache Camel, Docker and Fabric8 v2
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
Solving Enterprise Integration with Apache Camel
Talk given at Phoenix Desert Code Camp on enterprise integration, enterprise service bus, and Apache Camel
Why real integration developers ride Camels
This document provides an agenda and summaries of key points from a presentation on integrating systems using Apache Camel. The presentation discusses how Apache Camel is an open-source integration library that uses enterprise integration patterns to connect disparate systems. It highlights features of Camel including components, data formats, and testing frameworks. Customer examples are presented that demonstrate large returns on investment and cost savings from using Camel for integration projects. The presenters argue that Camel provides flexibility, reusability and rapid development of integrations.
The Hardest Part of Microservices: Your Data - Christian Posta, Red Hat
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
The hardest part of microservices: your data
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Micro Services in .NET Core and Docker
This document discusses using .NET Core and Docker for microservices. It begins with an overview of why Docker and microservices are useful. It then discusses why .NET Core and Microsoft technologies are good choices for building microservices. The document demonstrates creating a simple .NET Core app as a Docker container. It also discusses microservices patterns like having a database per service and isolating service instances. The document concludes with information about prerequisites for the demos and asking if there are any questions.
Microservices with Spring
This document discusses microservices and provides an overview of related concepts. It begins with definitions of microservices and comparisons to monolithic applications. Key features of microservices like independent processes communicating over HTTP are outlined. The document then covers reasons for using HTTP, REST, and JSON in microservice architectures. An example online shopping application is used to illustrate how it could be decomposed into microservices. Challenges of monolithic applications are contrasted with advantages of the microservice approach. The document concludes with a summary of Spring Cloud which provides tools to help implement microservices patterns.
Camel oneactivemq posta-final
This document provides an overview of a presentation given at CamelOne 2013 in Boston on June 10-11, 2013 about the internals of Apache ActiveMQ. The presentation covered the major subcomponents of ActiveMQ including transports, the broker core, persistence adapters, and networking brokers. It provided details on architecture, configuration, and implementation of these different aspects of ActiveMQ.
An eventful tour from enterprise integration to serverless and functions
In this talk, Marius (@mariusbogoevici) and I (@christianposta) discuss the value of event-driven architectures (both business and technical merits) and how the landscape of integration, streaming, and messaging and now functions/lambdas have evolved to implement EDA while balancing agility, utilization, and simplicity.
MVC 6 - the new unified Web programming model
Presentation for Dutch Microsoft TechDays 2015:
With ASP.NET 5 comes MVC 6 with a programming model that unifies Web Pages, MVC and Web API. Each of these has been rebuilt to reflect Microsoft's vision of lean and composable web applications. In this session you will see the changes that have been made to the programming model. We will cover topics such as the new POCO controllers, View Components, dependency injection and much more. Plus, you are going to see the significant changes to the ASP.NET runtime on which MVC 6 is built.
Microservices and Integration: what's next with Istio service mesh
This document discusses microservices architectures and emerging technologies to support them. It introduces Envoy proxy as a sidecar proxy that implements common microservices patterns like circuit breaking and load balancing. It then introduces Istio as a control plane that manages Envoy proxies and provides higher-level capabilities like traffic management, security, and observability across microservices. The presentation argues that 2018 will be the year of service meshes, with Istio being a prominent example for managing microservices communication using Envoy proxies.
What's hot (20)
Microservices, DevOps, and Containers with OpenShift and Fabric8
Microservices, DevOps, and Containers with OpenShift and Fabric8
The Hardest Part of Microservices: Calling Your Services
The Hardest Part of Microservices: Calling Your Services
Real-world #microservices with Apache Camel, Fabric8, and OpenShift
Real-world #microservices with Apache Camel, Fabric8, and OpenShift
Microservices with Apache Camel, Docker and Fabric8 v2
Microservices with Apache Camel, Docker and Fabric8 v2
The Hardest Part of Microservices: Your Data - Christian Posta, Red Hat
The Hardest Part of Microservices: Your Data - Christian Posta, Red Hat
An eventful tour from enterprise integration to serverless and functions
An eventful tour from enterprise integration to serverless and functions
Microservices and Integration: what's next with Istio service mesh
Microservices and Integration: what's next with Istio service mesh
Viewers also liked
Real world #microservices with Apache Camel, Fabric8, and OpenShift
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
Microservices Journey NYC
Christian Posta is a principal middleware specialist and architect who has worked with large microservices architectures. He discusses why companies are moving to microservices and cloud platforms like Kubernetes and OpenShift. He covers characteristics of microservices like small autonomous teams and decentralized decision making. Posta also discusses breaking applications into independent services, shedding dependencies between teams, and using contracts and APIs for communication between services.
DevOps with ActiveMQ, Camel, Fabric8, and HawtIO
DevOps and Continuous Delivery slides with Fabric8 (http://fabric8.io), HawtIO (http://hawt.io), Camel, ActiveMQ, Docker Jenkins, etc.
Integrating Microservices with Apache Camel
This document provides an overview of integrating microservices with Apache Camel and JBoss Fuse. It introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and domain-specific languages to define integration "flows" and "routes". It describes how Camel supports features like dynamic routing, REST APIs, backpressure, load balancing, and circuit breakers that are useful for building microservices. The document also introduces JBoss Fuse as a development and runtime platform for microservices that provides tooling, frameworks, management capabilities and container support using technologies like Apache Camel, CXF, ActiveMQ and Karaf.
Netflix0SS Services on Docker
1. The document describes a Docker implementation of NetflixOSS microservices on IBM SoftLayer.
2. Key aspects discussed include networking Docker containers across multiple SoftLayer datacenters, managing the Docker API across multiple hosts, and integrating Docker images with SoftLayer image management.
3. Lessons learned include the need for a proxy for the Docker remote API across multiple hosts, and approaches for keeping Docker advantages like image portability when integrating with an IaaS platform.
OpenShift Enterprise 3.1 vs kubernetes
OpenShift is Red Hat's container application platform that provides a full-stack platform for deploying and managing containerized applications. It is based on Docker and Kubernetes and provides additional capabilities for self-service, automation, multi-language support, and enterprise features like authentication, centralized logging, and integration with Red Hat's JBoss middleware. OpenShift handles building, deploying, and scaling applications in a clustered environment with capabilities for continuous integration/delivery, persistent storage, routing, and monitoring.
Performance Monitoring for Docker Environments - Docker Amsterdam June Meetup
Performance monitoring for Docker
Challenges around Docker monitoring - Anomaly detection - CoScale demo
For more info about how to use CoScale Docker monitoring, some reading material here: http://www.coscale.com/blog/how-to-monitor-docker-containers-with-coscale and http://www.coscale.com/blog/how-to-monitor-your-kubernetes-cluster
A summary of CoScale Docker performance monitoring can be found here: http://www.coscale.com/docker-monitoring
cert
This document appears to contain student enrollment information for a student named Jonathan Hunt, including test scores of 96, 24, and 120, an online course status, a payment of $2300 that was approved, and enrollment dates of 08/28/2016.
Writing Docker monitoring agent with Go
Fune is a Go program that acts as a Docker monitoring agent. It listens to Docker events through the Docker events API and emits actions in response to events, such as notifying Slack or updating a service registry. The agent communicates with the Docker daemon via its socket. It allows emitting pluggable actions when container events like create, start, stop and die are received.
Discussing the difference between docker dontainers and virtual machines
This presentation is designed to give an overview about differences of both virtualization methods to provide the reader with the fundamental knowledge to decide in each use case which technology is more suitable.
Essential Camel Components
This document provides an agenda and overview for a presentation on Apache Camel essential components. The presentation is given by Christian Posta from Red Hat on January 23, 2013. The agenda includes an introduction to Camel, a discussion of components, and time for questions. An overview of FuseSource/Red Hat is given, noting the acquisition of FuseSource by Red Hat in 2012. Details are provided on the speaker and their background. The document focuses on introducing some of the most widely used and essential Camel components, including File, Bean, Log, JMS, CXF, and Mock. Configuration options and examples of using each component are summarized.
Nagios Conference 2014 - Spenser Reinhardt - Detecting Security Breaches With...
Spenser Reinhardt's presentation on Detecting Security Breaches With Docker, Honeypots, & Nagios.
The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference
Running Netflix OSS on Docker with Nirmata
Nirmata is an enterprise platform that uses Netflix OSS like Eureka, Zuul, Ribbon, and Archaius to build cloud applications. It allows users to model their business services and deploy them along with infrastructure services to sandbox environments using Docker containers. Services are deployed by launching Docker containers from a central repository in a specific order to ensure dependencies are met. Nirmata addresses challenges in running Docker containers together by configuring ports, service communication, and dependency injection.
Messaging in the Cloud - AMQP, RabbitMQ and Spring
This document discusses messaging in the cloud using AMQP, RabbitMQ, and Spring. It provides an overview of why AMQP is useful for interoperability and efficiency. Key aspects of AMQP include exchanges, queues, bindings, and routing keys. The document also explains how Spring enables configuration of RabbitMQ resources like connections, exchanges, and queues through dependency injection. Spring templates provide a common interface for sending and receiving messages while managing resources.
Docker Indy Meetup Monitoring 30-Aug-2016
Docker Indy Meetup - Monitoring
30-Aug-2016
- Monitoring platforms
- Built in Healthchecks
- Sysdig demo
- Swarm mode demo + healthchecks
Link to demo repository: https://github.com/mbentley/docker-healthcheck-demos
Viewers also liked (15)
Real world #microservices with Apache Camel, Fabric8, and OpenShift
Real world #microservices with Apache Camel, Fabric8, and OpenShift
Performance Monitoring for Docker Environments - Docker Amsterdam June Meetup
Performance Monitoring for Docker Environments - Docker Amsterdam June Meetup
Discussing the difference between docker dontainers and virtual machines
Discussing the difference between docker dontainers and virtual machines
Nagios Conference 2014 - Spenser Reinhardt - Detecting Security Breaches With...
Nagios Conference 2014 - Spenser Reinhardt - Detecting Security Breaches With...
Messaging in the Cloud - AMQP, RabbitMQ and Spring
Messaging in the Cloud - AMQP, RabbitMQ and Spring
Similar to Microservices with Spring Cloud, Netflix OSS and Kubernetes
MicroServices for Java Developers
The document discusses microservices for Java developers. It introduces Christian Posta, a principal middleware specialist and architect who works with large microservices and is a blogger and speaker on topics like DevOps, integration, and microservices. It then discusses how creating value through software is about speed, iteration, and continuous improvement. It covers concepts like distributed configuration, service discovery, load balancing, circuit breakers, and versioning/routing that are important for microservices. Finally, it mentions container cluster management with Kubernetes and technologies like Kubernetes, OpenShift, and Fabric8 that can help with microservices development.
A microservices journey - Round 2
A presentation on why or why not microservices, why a platform is important, discovering how to break down a monolith and some of the challenges you'll face (data, transactions, boundaries, etc). Last section is on Istio and service mesh introductions. Follow on twitter @christianposta for updates and more details
Getting Started with OpenStack, Red Hat Summit 2016
Hearing a lot about OpenStack and want to check it out for yourself? See how quick and easy it is to install and start using OpenStack using containers running within a VM on your own laptop. Familiarize yourself with the environment. Learn to use the Horizon (GUI) and the CLI to view and operate an OpenStack cloud, both as a cloud administrator as well as a tenant/user of the cloud.
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this talk we'll explore the role of service meshes when building distributed systems, why they make sense, and where they don't make sense. We will look at a class of problem that crops up that service mesh cannot solve, but that frameworks and even new programming languages like Ballerina are aiming to solve
OpenStack Documentation in the Open
OpenStack is an open source cloud computing platform that delivers solutions for public and private clouds. The OpenStack project consists of a series of interrelated projects that deliver components for a cloud infrastructure. The OpenStack documentation project uses an open development model with contributions from the community. It aims to increase adoption of OpenStack through strategic, collaborative, and open documentation processes.
OpenStack Block Storage 101
This document provides an overview of OpenStack Block Storage (Cinder) and how it addresses challenges of scaling virtual environments. It discusses how virtualization led to cloud computing with goals of abstraction, automation, and scale. OpenStack was created as open source software to build and manage clouds with common APIs. Cinder provides block storage volumes to OpenStack instances, managing creation and attachment. SolidFire's storage system offers comprehensive Cinder support with guaranteed performance, high availability, and scale for production use.
Innovating faster with SBT, Continuous Delivery, and LXC
A case study of the tools and techniques used at Gilt Groupe to develop and deploy a system composed of over 200 micro-services.
OpenStack: Networking Roadmap, Collaboration and Contribution
The document provides an overview of OpenStack networking and Neutron. It discusses Neutron's architecture and history. It describes several Neutron sub-projects like Midonet, OpenDaylight, OVN, and services like firewall-as-a-service and service function chaining. The document outlines Neutron roadmaps and focus areas. It discusses various working groups and collaboration efforts between OpenStack and other communities like OPNFV and the telecom industry. The document promotes involvement in OpenStack development, events, and training.
Room 2 - 6 - Đinh Tuấn Phong - Migrate opensource database to Kubernetes easi...
Room 2 - 6 - Đinh Tuấn Phong - Migrate opensource database to Kubernetes easi...Vietnam Open Infrastructure User Group
This document discusses running MySQL on Kubernetes with Percona Kubernetes Operators. It provides an introduction to cloud native applications and Kubernetes. It then discusses the benefits and challenges of running MySQL on Kubernetes compared to database-as-a-service options. It introduces Percona Kubernetes Operators for MySQL, which help manage and configure MySQL deployments on Kubernetes. Finally, it discusses how to deploy MySQL with the Percona Kubernetes Operators, including prerequisites, connectivity, architecture, high availability, and monitoring.Integration in the Age of DevOps
This document discusses cloud native architectures and microservices. It introduces the speaker and covers topics like how fast software delivery requires decoupling services, using containers and Kubernetes for deployment, and using Apache Camel for integration between microservices. It also discusses using OpenShift and Fuse Integration Services on OpenShift to develop and deploy microservices in a cloud native way.
The Application Server Platform of the Future - Container & Cloud Native and ...
New architecture patterns are rapidly influencing many organizations. The march to the cloud is taking place. DevOps and microservices for true agility and containers as vehicle for delivery, testing and management. During
Oracle OpenWorld 2017 - Oracle presented its vision and roadmap in the area of cloud native computing (which is based on container native) and announced its application server platform (container management runtime) of the future. This presentation summarizes that picture painted by Oracle.
Container Conf 2017: Rancher Kubernetes
Deploy, manage and scale Kubernetes with Rancher - a session given in ContainerConf 2017 (7th April) in Bangalore
Integration in the age of DevOps
In an increasingly competitive marketplace, speed and business agility are paramount. And integration between customer-facing systems and back-end applications is more crucial than ever.
At this event, you'll learn how open source software built by communities, like Apache Camel, Docker, Kubernetes, OpenShift Origin, and Fabric8, can help organizations integrate services and establish effective continuous integration and delivery (CI/CD) pipelines.
Microservices with Spring Cloud
The document discusses microservices and Spring Cloud. It defines microservices as small, autonomous services that work together to build distributed systems. It then explains key Spring Cloud Netflix components like Zuul for routing, Eureka for service discovery and registration, and Hystrix for circuit breaking. The document also discusses other challenges in building microservices architectures like distributed tracing, polyglotism, and alternative solutions to Eureka like Consul and Zookeeper.
Cloud Architect Alliance #15: Openstack
Openstack is an open source cloud computing platform that consists of several independent components that work together to provide infrastructure as a service capabilities. It allows users to provision compute, storage, and networking resources on demand in a self-service manner similar to public cloud providers like AWS. Some key components include Nova for compute, Glance for images, Swift for object storage, Cinder for block storage, Neutron for networking, and Keystone for identity services. Openstack can be used to build public, private, or hybrid clouds and supports a variety of use cases and workloads.
OpenStack: Toward a More Resilient Cloud
Since it's inception over four years ago, OpenStack has become the most popular open source software for building many types of clouds in part due to the flexibility it provides. As more adoption increases, interest has increased in building OpenStack clouds on a highly available control plane infrastructure. In this talk we will provide an introduction to today's OpenStack community and software, then dive deeper into how to build more highly available, scalable OpenStack architectures. - See more at: http://www.percona.com/news-and-events/percona-university-smart-data-raleigh/openstack-toward-more-resilient-cloud#sthash.wicdUMdH.dpuf
Global azurebootcamp2019vancouver aks_presentation_by_ashprasad_arjavprasad
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It was originally developed by Google and is now maintained by the Cloud Native Computing Foundation. The presentation showed how to deploy an ASP.Net Core application to Azure Kubernetes Service (AKS) using a DevOps approach and then how to scale the application on AKS by adding more nodes.
Kubernetes 101 Workshop
This document provides an overview and agenda for a hands-on Kubernetes 101 workshop hosted by Vishal Biyani from InfraCloud technologies. The 180-minute workshop includes introductions, conceptual overviews of Kubernetes components like pods and deployments, demonstrations of setting up a Kubernetes cluster on Google Cloud and the local machine, and hands-on labs for working with pods, deployments, services, secrets and Helm. The goal is to help attendees gain practical experience with common Kubernetes patterns, architectures, and tools.
Bitnami Bootcamp. OpenStack
This document provides an overview of OpenStack, an open-source cloud computing platform. It discusses the evolution of infrastructure from traditional to virtualized and cloud-based systems. It then describes OpenStack's architecture and core components for compute, storage, networking, identity management, and more. The document also outlines how OpenStack can be used to deploy private clouds and manage virtual infrastructure and applications. It discusses different administration roles for managing applications on the cloud versus managing the cloud platform itself.
Openstack - An introduction/Installation - Presented at Dr Dobb's conference...
Openstack - An introduction/Installation - Presented at Dr Dobb's conference...Rahul Krishna Upadhyaya
Slide was presented at Dr. Dobb's Conference in Bangalore.
Talks about Openstack Introduction in general
Projects under Openstack.
Contributing to Openstack.
This was presented jointly by CB Ananth and Rahul at Dr. Dobb's Conference Bangalore on 12th Apr 2014.Similar to Microservices with Spring Cloud, Netflix OSS and Kubernetes (20)
Getting Started with OpenStack, Red Hat Summit 2016
Getting Started with OpenStack, Red Hat Summit 2016
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...
Innovating faster with SBT, Continuous Delivery, and LXC
Innovating faster with SBT, Continuous Delivery, and LXC
OpenStack: Networking Roadmap, Collaboration and Contribution
OpenStack: Networking Roadmap, Collaboration and Contribution
Room 2 - 6 - Đinh Tuấn Phong - Migrate opensource database to Kubernetes easi...
Room 2 - 6 - Đinh Tuấn Phong - Migrate opensource database to Kubernetes easi...
The Application Server Platform of the Future - Container & Cloud Native and ...
The Application Server Platform of the Future - Container & Cloud Native and ...
Global azurebootcamp2019vancouver aks_presentation_by_ashprasad_arjavprasad
Global azurebootcamp2019vancouver aks_presentation_by_ashprasad_arjavprasad
Openstack - An introduction/Installation - Presented at Dr Dobb's conference...
Openstack - An introduction/Installation - Presented at Dr Dobb's conference...
More from Christian Posta
Move Auth, Policy, and Resilience to the Platform
Developer's time is the most crucial resource in an enterprise IT organization. Too much time is spent on undifferentiated heavy lifting and in the world of APIs and microservices much of that is spent on non-functional, cross-cutting networking requirements like security, observability, and resilience.
As organizations reconcile their DevOps practices into Platform Engineering, tools like Istio help alleviate developer pain. In this talk we dig into what that pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases. As this space continues to emerge, and innovation has not slowed, we will also discuss the recently announced Istio sidecar-less mode which significantly reduces the hurdles to adopt Istio within Kubernetes or outside Kubernetes.
Comparing Sidecar-less Service Mesh from Cilium and Istio
Service mesh is a powerful pattern for implementing strong zero-trust networking practices, introducing better network observability, and allowing for more fine-grained traffic control. Up until now, the sidecar pattern was used to implement service-mesh capability but as the technology matures, a new pattern has emerged: sidecarless service mesh. Two prominent open-source networking projects, Cilium and Istio, have implemented a sidecar-free approach to service mesh but they both make interesting design decisions and tradeoffs. In this talk we review the architecture of both, focusing on the pros and cons of implementations such as mutual authentication, ingress, and observability.
Understanding Wireguard, TLS and Workload Identity
Zero Trust Networking has become a standard marketing buzzword but the underlying principles are critical for modern microservice-style architectures. Authentication, authorizations, policy, etc. can be difficult to implement between services and do so in a maintainable way. Google invented their own transparent encryption and authorization protocol called "ALTS" back in 2007 to serve the application layer of Google's Borg workload scheduler, but we don't see others using it outside Google.
In this webinar we look at existing technology like TLS and newcomer Wireguard and see how these technologies come together to provide a secure foundation for workload identity and modern service-to-service networking.
Compliance and Zero Trust Ambient Mesh
Istio ambient mesh uses a sidecar-less data plane that focuses on ease of operations, incremental adoption, and separation of security boundaries for applications and mesh infrastructure.
In this webinar, we'll explore:
- The forces of modernization and compliance pressures,
- How Zero Trust Architecture (ZTA) can help, and
- How Istio ambient mesh lowers the barrier for establishing the properties necessary to achieve Zero Trust and compliance
Cilium + Istio with Gloo Mesh
The document discusses Cilium and Istio with Gloo Mesh. It provides an overview of Gloo Mesh, an enterprise service mesh for multi-cluster, cross-cluster and hybrid environments based on upstream Istio. Gloo Mesh focuses on ease of use, powerful best practices built in, security, and extensibility. It allows for consistent API for multi-cluster north-south and east-west policy, team tenancy with service mesh as a service, and driving everything through GitOps.
Multi-cluster service mesh with GlooMesh
This document discusses service mesh patterns for connecting microservices across multiple clusters. It describes using Envoy proxy to provide service discovery, load balancing, security and resiliency. Patterns are presented for connecting services across clusters with flat, controlled or separate networks. Managing connectivity across clusters can increase operator burden. Gloo Mesh is presented as a way to simplify management across multiple clusters with a centralized control plane.
Multicluster Kubernetes and Service Mesh Patterns
Building applications for cloud-native infrastructure that are resilient, scalable, secure, and meet compliance and IT objectives gets complicated. Another wrinkle for the organizations with which we work is the fact they need to run across a hybrid deployment footprint, not just Kubernetes. At Solo.io, we build application networking technology on Envoy Proxy that helps solve difficult multi-deployment, multi-cluster, and even multi-mesh problems.
In this webinar, we’re going to explore different options and patterns for building secure, scalable, resilient applications using technology like Kubernetes and Service Mesh without leaving behind existing IT investments. We’ll see why and when to use multi-cluster topologies, how to build for high availability and team autonomy, and solve for things like service discovery, identity federation, traffic routing, and access control.
Cloud-Native Application Debugging with Envoy and Service Mesh
Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
Kubernetes Ingress to Service Mesh (and beyond!)
Kubernetes users need to allow traffic to flow into and within the cluster. Treating the application traffic separately from the business logic allows presents new possibilities in how service to service traffic is served, controlled and observed — and provides a transition to intra cluster networking like Service Mesh. With microservices, there is a concept of both North / South traffic (incoming requests from end users to the cluster) and East / West (intra cluster) communication between the services. In this talk we will explain how Envoy Proxy works in Kubernetes as a proxy for both of these traffic directions and how it can be leveraged to do things like traffic shaping, security, and integrate the north/south to east/west behavior.
Christian Posta (@christianposta) is Global Field CTO at Solo.io, former Chief Architect at Red Hat, and well known in the community for being an author (Istio in Action, Manning, Istio Service Mesh, O'Reilly 2018, Microservices for Java Developers, O’Reilly 2016), frequent blogger, speaker, open-source enthusiast and committer on various open-source projects including Istio, Kubernetes, and many others. Christian has spent time at both enterprises as well as web-scale companies and now helps companies create and deploy large-scale, cloud-native resilient, distributed architectures. He enjoys mentoring, training and leading teams to be successful with distributed systems concepts, microservices, devops, and cloud-native application design.
The Truth About the Service Mesh Data Plane
The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not."
In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.
Deep Dive: Building external auth plugins for Gloo Enterprise
Using the plugin framework for Ext. Auth Service in Gloo Enterprise, we can build any custom AuthN/AuthZ plugins to handle security requirements not provided out of the box.
Role of edge gateways in relation to service mesh adoption
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you’ve been following the rise in service-mesh technologies, you’ll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What’s more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the “API Gateway” infrastructure as we know it today and go back to first principles with the “API Gateway pattern” and revisit the real problems we’re trying to solve. Then we’ll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the “API Gateway pattern” actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
Navigating the service mesh landscape with Istio, Consul Connect, and Linkerd
The document discusses various service mesh options including Linkerd, Consul Connect, Istio, and AWS App Mesh. It provides an overview of each solution, describing their key features and strengths/opportunities. It emphasizes that the service mesh approach is useful for managing inter-service communication and that implementations are still evolving. It recommends starting simply and iteratively adopting capabilities to match needs.
Chaos Debugging for Microservices
Distributed microservices introduce new challenges: failure modes are harder to anticipate and resolve. In this session, we present a “Chaos Debugging” framework enabled by three open source projects: Gloo Shot, Squash, and Loop to help you increase your microservices’ “immunity” to issues.
Gloo Shot integrates with any service mesh to implement advanced, realistic chaos experiments. Squash connects powerful and mature debuggers (gdb, dlv, java debugging) to your microservices while they run in Kubernetes. Loop extends the capability of your service mesh to observe your application and record full transactions for sandboxed replay and debugging.
Come to this demo-heavy talk to see how together, Squash, Gloo Shot, and Loop allow you to trigger, replay, and investigate failure modes of your microservices in a language agnostic and efficient manner without requiring any changes to your code.
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...
If you have an existing Java monolith, you know you must take care making changes to it or altering it in any negative way. Often times these monoliths are very valuable to the business and generate a lot of revenue. At the same time, since it’s difficult to make changes to the monolith it’s desirable to move to a microservices architecture. Unfortunately you cannot just do a big-bang migration to a greenfield architecture and will have to incrementally adopt microservices. In this talk, we’ll look at using Gloo proxy which is based on Envoy Proxy and GraphQL to do surgical, function-level traffic control and API aggregation to safely migrate your monolith to microservices and serverless functions.
Service-mesh options with Linkerd, Consul, Istio and AWS AppMesh
Service mesh abstracts the network from developers to solve three main pain points:
How do services communicate securely with one another
How can services implement network resilience
When things go wrong, can we identify what and why
Service mesh implementations usually follow a similar architecture: traffic flows through control points between services (usually service proxies deployed as sidecar processes) while an out-of-band set of nodes is responsible for defining the behavior and management of the control points. This loosely breaks out into an architecture of a "data plane" through which requests flow and a "control plane" for managing a service mesh.
Different service mesh implementations use different data planes depending on their use cases and familiarity with particular technology. The control plane implementations vary between service-mesh implementations as well. In this talk, we'll take a look at three different control plane implementations with Istio, Linkerd and Consul, their strengths, and their specific tradeoffs to see how they chose to solve each of the three pain points from above. We can use this information to make choices about a service mesh or to inform our journey if we choose to build a control plane ourselves.
Intro Istio and what's new Istio 1.1
The document summarizes the new features of Istio 1.1, an open-source service mesh. Some key highlights include improved performance and scalability, namespace isolation, multi-cluster capabilities, easier installation with Helm, and locality-aware load balancing. A new Sidecar resource was introduced to improve performance by configuring resources for individual proxies. The presentation demonstrates performance improvements with the Sidecar resource and highlights additional functionality in Istio like traffic control and metrics collection.
API Gateways are going through an identity crisis
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you've been following the rise in service-mesh technologies, you'll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What's more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the "API Gateway" infrastructure as we know it today and go back to first principles with the "API Gateway pattern" and revisit the real problems we're trying to solve. Then we'll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the "API Gateway pattern" actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
PHX DevOps Days: Service Mesh Landscape
Service-mesh technology promises to deliver a lot of value to a cloud-native application, but it doesn't come without some hype. In this talk, we'll look at what is a "service mesh", how it compares to similar technology (Netflix OSS, API Management, ESBs, etc) and what options for service mesh exist today.
Intro to Knative
Knative builds on Kubernetes and Istio to provide "PaaS-like abstractions" that raise the level of abstraction for specifying, running, and modifying applications. Knative includes building blocks like Knative Serving for autoscaling container workloads to zero, Knative Eventing for composing event-driven services, Knative Build for building containers from source, and Knative Pipelines for abstracting CI/CD pipelines. While Knative can run any type of container, its building blocks help enable serverless-style functions by allowing compute resources to scale to zero and be driven by event loads.
More from Christian Posta (20)
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
Understanding Wireguard, TLS and Workload Identity
Understanding Wireguard, TLS and Workload Identity
Cloud-Native Application Debugging with Envoy and Service Mesh
Cloud-Native Application Debugging with Envoy and Service Mesh
Deep Dive: Building external auth plugins for Gloo Enterprise
Deep Dive: Building external auth plugins for Gloo Enterprise
Role of edge gateways in relation to service mesh adoption
Role of edge gateways in relation to service mesh adoption
Navigating the service mesh landscape with Istio, Consul Connect, and Linkerd
Navigating the service mesh landscape with Istio, Consul Connect, and Linkerd
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...
Service-mesh options with Linkerd, Consul, Istio and AWS AppMesh
Service-mesh options with Linkerd, Consul, Istio and AWS AppMesh
Recently uploaded
ANSYS Mechanical APDL Introductory Tutorials.pdf
Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools.
How we built TryBoxLang in under 48 hours
Explore the rapid development journey of TryBoxLang, completed in just 48 hours. This session delves into the innovative process behind creating TryBoxLang, a platform designed to showcase the capabilities of BoxLang by Ortus Solutions. Discover the challenges, strategies, and outcomes of this accelerated development effort, highlighting how TryBoxLang provides a practical introduction to BoxLang's features and benefits.
ColdBox Debugger v4.2.0: Unveiling Advanced Debugging Techniques for ColdBox ...
ColdBox Debugger v4.2.0: Unveiling Advanced Debugging Techniques for ColdBox ...Ortus Solutions, Corp
Explore the latest in ColdBox Debugger v4.2.0, featuring the Hyper Collector for HTTP/S request tracking, Lucee SQL Collector for query profiling, and Heap Dump Support for memory leak debugging. Enhancements like the revamped Request Dock and improved SQL/JSON formatting streamline debugging for optimal ColdBox application performance and stability. Ideal for developers familiar with ColdBox, this session focuses on leveraging advanced debugging tools to enhance development efficiency.Write More Durable Code: Principles and Techniques
This workshop focused on simplifying programming decisions with key coding principles. Participants learned to avoid clever code, apply inversion of control, prefer composition over inheritance, write self-documenting code, use encapsulation, reduce nesting, avoid reassignment, and implement guard statements, with live refactoring of code examples.
What’s New in ContentBox 6 by Ortus Solutions.pdf
Content templates, CBFS, Redirects, and Coldbox 7, oh my! ContentBox 6 is the game-changing new release for the ContentBox CMS platform. In this session, we'll discuss all of the new goodness added in the release, as well as show the many ways in which your single or multi-site ContentBox instance just became more powerful and flexible.
Design system: The basis for a consistent design
Participants explored how visual and functional coherence strengthened brand identity and streamlined development in this session. They learned to maintain consistency across platforms and enhance user experiences using Design Systems. Ideal for brand designers, UI/UX designers, developers, and product managers who sought to optimize efficiency and ensure consistency across projects.
Austere Systems Company Portfolio (ASPL).pdf
Austere Systems Pvt. Ltd. is a leading IT services provider specializing in a wide range of technology solutions. We help businesses leverage the power of IT to achieve their strategic goals and gain a competitive edge.
Our Expertise:
IT Staff Augmentation: We provide skilled and experienced IT professionals across various domains like SAP, Java, .Net, PHP and PowerBi.
Application Development: Our team builds robust mobile, Web and desktop applications to meet your specific business needs.
Product Re-engineering & Maintenance: We breathe new life into existing software and ensure its smooth operation.
Infrastructure Management: We take care of your IT infrastructure, including servers, networks, and security.
Support Services: Our L1/L2 support centers offer prompt and reliable assistance for your IT issues.
Digital Marketing & SEO: We help you reach your target audience and boost your online presence.
Why Choose Austere Systems?
Skilled & Experienced Professionals: Our team possesses in-depth knowledge and expertise in various technologies.
Focus on Client Satisfaction: We prioritize building strong relationships and exceeding client expectations.
Innovative Solutions: We deliver cutting-edge solutions tailored to your unique business challenges.
Cost-Effective Services: We offer competitive rates and ensure value for your investment.
Navigating the New Era of Adaptive PPM with OnePlan - Webinar 27Jun24.pdf
The landscape of Project Portfolio Management (PPM) is undergoing a significant transformation, driven by the need for more adaptive, responsive approaches to managing projects and portfolios in a rapidly changing business environment. This evolution calls for tools and methodologies that can support dynamic decision-making, flexible resource allocation, and real-time strategic alignment.
Join us as we delve into how OnePlan emerges as a pivotal solution in this new era. Discover how OnePlan empowers organizations to navigate complexity and embrace change effectively, ensuring project success and strategic alignment. Learn how OnePlan enhances the capabilities of the tools your organization has already invested in, breaking down data silos and providing a unified view of project information.
Enterprise Resource Planning in India - NYGGS
ERP software interfaces and computerizes different corporate exercises. The system proficiently eliminates manual following, which wipes out human blunders. ERP system liberates crucial time and assets by digitizing redundant managerial undertakings. Know more information here: https://medium.com/@nyggsautomation/why-does-your-business-need-to-implement-erp-software-and-what-are-its-essential-modules-f7bba45be731
Top 10 Tips To Get Google AdSense For Your Website
Lots of bloggers are using Google AdSense now. It’s getting really popular. With AdSense, bloggers can make money by showing ads on their websites. Read this important article written by the experienced designers of the best website designing company in Delhi –
Migrate your Infrastructure to the AWS Cloud
Are you wondering how to migrate to the Cloud? At the ITB session, we addressed the challenge of managing multiple ColdFusion licenses and AWS EC2 instances. Discover how you can consolidate with just one EC2 instance capable of running over 50 apps using CommandBox ColdFusion. This solution supports both ColdFusion flavors and includes cb-websites, a GoLang binary for managing CommandBox websites.
一比一原版英国牛津大学毕业证（oxon毕业证书）如何办理
原版一模一样【微信：741003700 】【英国牛津大学毕业证（oxon毕业证书）成绩单】【微信：741003700 】学位证，留信学历认证（真实可查，永久存档）原件一模一样纸张工艺/offer、在读证明、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理英国牛津大学毕业证（oxon毕业证书）【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理英国牛津大学毕业证（oxon毕业证书）【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理英国牛津大学毕业证（oxon毕业证书）【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理英国牛津大学毕业证（oxon毕业证书）【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Non-Functional Testing Guide_ Exploring Its Types, Importance and Tools.pdf
Are you looking for ways to ensure your software development projects are successful? Non-functional testing is an essential part of the process, helping to guarantee that applications and systems meet the necessary non-functional requirements such as availability, scalability, security, and usability.
Disk to Cloud: Abstract your File Operations with CBFS
In this session, we explored how the cbfs module empowers developers to abstract and manage file systems seamlessly across their lifecycle. From local development to S3 deployment and customized media providers requiring authentication, cbfs offers flexible solutions. We discussed how cbfs simplifies file handling with enhanced workflow efficiency compared to native methods, along with practical tips to accelerate complex file operations in your projects.
Securing Your Application with Passkeys and cbSecurity
Discover Passkeys, the next evolution in secure login methods that eliminate traditional password vulnerabilities. Learn about the CBSecurity Passkeys module's installation, configuration, and integration into your application to enhance security.
Building Scaleable Serverless Event-Driven Computing with AWS Lambda powered ...
Building Scaleable Serverless Event-Driven Computing with AWS Lambda powered ...Ortus Solutions, Corp
Explore how to build scalable, serverless event-driven applications using AWS Lambda powered by BoxLang. This session dives into leveraging Lambda's capabilities to handle event-driven computing efficiently. Whether new to serverless architecture or looking to enhance your skills, join us to learn practical insights and techniques for optimizing application performance and scalability.Schrodinger’s Backup: Is Your Backup Really a Backup?
In this session, we discussed the critical need for comprehensive backups across all aspects of our industry—from code and databases to webservers, file servers, and network configurations. Emphasizing the importance of proactive measures, attendees were urged to ensure their backup systems were tested through restoration processes. The session underscored the risk of discovering backup issues only during crises, highlighting the necessity of verifying backup integrity through restoration tests.
BoxLang Developer Tooling: VSCode Extension and Debugger
Discover BoxLang, the innovative JVM programming language developed by Ortus Solutions. Designed to harness the power of the Java Virtual Machine, BoxLang offers a modern approach to application development with robust performance and scalability. Join us as we explore the capabilities of BoxLang, its syntax, and how it enhances productivity in software development.
NYC 26-Jun-2024 Combined Presentations.pdf
Explore the craft of program and project management, hearing from Atlassian Program Managers, local thought leaders, and more.
Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
Recently uploaded (20)
ColdBox Debugger v4.2.0: Unveiling Advanced Debugging Techniques for ColdBox ...
ColdBox Debugger v4.2.0: Unveiling Advanced Debugging Techniques for ColdBox ...
Write More Durable Code: Principles and Techniques
Write More Durable Code: Principles and Techniques
Navigating the New Era of Adaptive PPM with OnePlan - Webinar 27Jun24.pdf
Navigating the New Era of Adaptive PPM with OnePlan - Webinar 27Jun24.pdf
Top 10 Tips To Get Google AdSense For Your Website
Top 10 Tips To Get Google AdSense For Your Website
Non-Functional Testing Guide_ Exploring Its Types, Importance and Tools.pdf
Non-Functional Testing Guide_ Exploring Its Types, Importance and Tools.pdf
Disk to Cloud: Abstract your File Operations with CBFS
Disk to Cloud: Abstract your File Operations with CBFS
Securing Your Application with Passkeys and cbSecurity
Securing Your Application with Passkeys and cbSecurity
Building Scaleable Serverless Event-Driven Computing with AWS Lambda powered ...
Building Scaleable Serverless Event-Driven Computing with AWS Lambda powered ...
Schrodinger’s Backup: Is Your Backup Really a Backup?
Schrodinger’s Backup: Is Your Backup Really a Backup?
BoxLang Developer Tooling: VSCode Extension and Debugger
BoxLang Developer Tooling: VSCode Extension and Debugger
Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform
Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform
Microservices with Spring Cloud, Netflix OSS and Kubernetes
- 1. Real-World Microservices with Spring Cloud, Netflix OSS and Kubernetes Spring One Platform 8/3/16 Christian Posta @christianposta
- 2. Christian Posta Principal Middleware Specialist/Architect Twitter: @christianposta Blog: http://blog.christianposta.com Email: christian@redhat.com • Author “Microservices for Java developers” • Committer on Apache Camel, Apache ActiveMQ, Fabric8, many others • Worked with large Microservices, web-scale, unicorn company • Blogger, speaker about DevOps, integration, and microservices
- 3. People try to copy Net,lix, but they can only copy what they see. They copy the results, not the process. Adrian Cockcroft, former Chief Cloud Architect, Netflix
- 4. • Distributed configuration • Service Discovery • Loadbalancing • Circuit Breakers • Bulkheading • Versioning/Routing • Based on AWS
- 6. Container cluster management • Distributed configuration • Service Discovery • Loadbalancing • Versioning/Routing • Deployments • Scaling/Autoscaling • Liveness/Health checking • Self healing
- 8. What about client-side load balancing? Eg, Ribbon, Zuul, etc
- 9. Meet: spring-cloud-kubernetes • DiscoveryClient • Ribbon integration • Actuator/Health integrations • Hystrix/Turbine Dashboard integrations (kubeflix) • Zipkin Tracking • Configuration via ConfigMaps • Archaius Bridge for dynamic configs https://github.com/fabric8io/spring-cloud-kubernetes
- 10. • Built on top of Kubernetes • spring-cloud-kubernetes • Kubeflix • Funktion (serverless computing on k8s) • 1-click CI/CD (based on Jenkins workflow) • Logging, Metrics • ChatOps • iPaaS/Integration • Chaos Monkey
- 11. Twitter: @christianposta Blog: http://blog.christianposta.com Email: christian@redhat.com Demo time! BTW: Hand drawn diagrams made with Paper by FiftyThree.com J https://vimeo.com/ceposta http://developers.redhat.com https://github.com/fabric8io/spring-cloud-kubernetes http://fabric8.io http://kubernetes.io http://openshift.com http://events.linuxfoundation.org/events/kubecon