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.
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.
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.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
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
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.
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.
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.
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.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
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
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.
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.
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.
Java one kubernetes, jenkins and microservicesChristian Posta
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.
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.
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.
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
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
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.
Real-world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
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
The Pivotal Engineering Dojo: Earning Your Black Belt in Cloud Foundry Engine...VMware Tanzu
This document summarizes Julz Friedman's experience earning a black belt in Cloud Foundry engineering through the CF dojo program. Some key points:
- Friedman spent 7-8 weeks at Pivotal's San Francisco office working with various CF teams to learn the codebase, build relationships, and gain credibility for themselves and IBM.
- The experience was overall positive and helped achieve the goals of understanding CF debugging, meeting team members, and contributing.
- Friedman paired with teams like Runtime, Bosh, Docs, and Services and observed differences between "big company agile" and Pivotal's XP-style approach.
- Lessons included embracing Pivotal's welcoming culture, the
This document summarizes an event-driven architecture presentation using Java. It discusses using Apache Kafka/Amazon Kinesis for messaging, Docker for containerization, Vert.x for reactive applications, Apache Camel/AWS Lambda for integration, and Google Protocol Buffers for data serialization. It covers infrastructure components, software frameworks, local and AWS deployment, and integration testing between Kinesis and Kafka. The presentation provides resources for code samples and Docker images discussed.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
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.
How would ESBs look like, if they were done today.Markus Eisele
ESBs would look different if built today. Large monolithic applications would be decomposed into microservices with bounded contexts. Services would be independently deployable and designed for failure. An ESB centralized integration but microservices use decentralized approaches like service discovery. While challenging, microservices evolve legacy systems towards modular, scalable architectures. It's a learning process, and the industry is still evolving effective patterns.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
Alfresco DevCon 2019 Performance Tools of the TradeLuis Colorado
Discover tips and tools that will help you to keep your Alfresco environment in shape. Most of the best tools are free or Open Source, and this presentation will guide you through the steps to improve the performance of your system.
Alfresco DevCon 2019 (Edinburgh)
"Transforming the Transformers" for Alfresco Content Services (ACS) 6.1 & beyond
https://community.alfresco.com/community/ecm/blog/2019/02/07/alfresco-transform-service-new-with-acs-61
Alfresco provides various content transformation options across the Digital Business Platform (DBP). In this talk, we will explore the new independently-scalable Alfresco Transform Service. This enables a new option for transforms to be asynchronously off-loaded by Alfresco Content Services (ACS).
https://devcon.alfresco.com/speaker/jan-vonka/
This document summarizes the evolution of cloud computing technologies from virtual machines to containers to serverless computing. It discusses how serverless computing uses cloud functions that are fully managed by the cloud provider, providing significant cost savings over virtual machines by only paying for resources used. While serverless computing reduces operational overhead, it is not suitable for all workloads and has some limitations around cold start times and vendor lock-in. The document promotes serverless computing as the next wave in cloud that can greatly reduce costs and complexity while improving scalability and availability.
Taking the friction out of microservice frameworks with LagomMarkus Eisele
This document discusses Lagom, a microservices framework for building reactive, distributed systems on the JVM. Lagom promotes building loosely coupled services with explicit boundaries and focuses on asynchronous communication. It provides tools for event sourcing, CQRS, and clustering services for scalability. The document outlines Lagom's approach and provides resources for learning more.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
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.
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.
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.
Java one kubernetes, jenkins and microservicesChristian Posta
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.
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.
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.
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
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
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.
Real-world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
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
The Pivotal Engineering Dojo: Earning Your Black Belt in Cloud Foundry Engine...VMware Tanzu
This document summarizes Julz Friedman's experience earning a black belt in Cloud Foundry engineering through the CF dojo program. Some key points:
- Friedman spent 7-8 weeks at Pivotal's San Francisco office working with various CF teams to learn the codebase, build relationships, and gain credibility for themselves and IBM.
- The experience was overall positive and helped achieve the goals of understanding CF debugging, meeting team members, and contributing.
- Friedman paired with teams like Runtime, Bosh, Docs, and Services and observed differences between "big company agile" and Pivotal's XP-style approach.
- Lessons included embracing Pivotal's welcoming culture, the
This document summarizes an event-driven architecture presentation using Java. It discusses using Apache Kafka/Amazon Kinesis for messaging, Docker for containerization, Vert.x for reactive applications, Apache Camel/AWS Lambda for integration, and Google Protocol Buffers for data serialization. It covers infrastructure components, software frameworks, local and AWS deployment, and integration testing between Kinesis and Kafka. The presentation provides resources for code samples and Docker images discussed.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
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.
How would ESBs look like, if they were done today.Markus Eisele
ESBs would look different if built today. Large monolithic applications would be decomposed into microservices with bounded contexts. Services would be independently deployable and designed for failure. An ESB centralized integration but microservices use decentralized approaches like service discovery. While challenging, microservices evolve legacy systems towards modular, scalable architectures. It's a learning process, and the industry is still evolving effective patterns.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
Alfresco DevCon 2019 Performance Tools of the TradeLuis Colorado
Discover tips and tools that will help you to keep your Alfresco environment in shape. Most of the best tools are free or Open Source, and this presentation will guide you through the steps to improve the performance of your system.
Alfresco DevCon 2019 (Edinburgh)
"Transforming the Transformers" for Alfresco Content Services (ACS) 6.1 & beyond
https://community.alfresco.com/community/ecm/blog/2019/02/07/alfresco-transform-service-new-with-acs-61
Alfresco provides various content transformation options across the Digital Business Platform (DBP). In this talk, we will explore the new independently-scalable Alfresco Transform Service. This enables a new option for transforms to be asynchronously off-loaded by Alfresco Content Services (ACS).
https://devcon.alfresco.com/speaker/jan-vonka/
This document summarizes the evolution of cloud computing technologies from virtual machines to containers to serverless computing. It discusses how serverless computing uses cloud functions that are fully managed by the cloud provider, providing significant cost savings over virtual machines by only paying for resources used. While serverless computing reduces operational overhead, it is not suitable for all workloads and has some limitations around cold start times and vendor lock-in. The document promotes serverless computing as the next wave in cloud that can greatly reduce costs and complexity while improving scalability and availability.
Taking the friction out of microservice frameworks with LagomMarkus Eisele
This document discusses Lagom, a microservices framework for building reactive, distributed systems on the JVM. Lagom promotes building loosely coupled services with explicit boundaries and focuses on asynchronous communication. It provides tools for event sourcing, CQRS, and clustering services for scalability. The document outlines Lagom's approach and provides resources for learning more.
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
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.
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.
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.
Microservices, DevOps, and Containers with OpenShift and Fabric8Christian Posta
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.
Real world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
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.
Overview of Netflix edge architecture, the DNS portability problem, and Denominator. Contains a sidebar on Square Dagger.
Some slides lifted from adrianco's dystopian deck.
Apache Camel - FUSE community day London 2010 presentationClaus Ibsen
My Apache Camel presentation from the FUSE community day event, London June 2010.
A video/audio/transcript of the presentation is in the works and will later be published at the fusesource (http://fusesource.com) website.
Sparrow Decks apply Machine Learning techniques to your own brain. It's AI for I.
Here we will train your subconscious to recognize:
House vs Song sparrows
Cluttered vs Relevant code
Long vs Short lines
Long vs Short methods
Good vs Bad names
Duplication vs distinct code
Inconsistency vs Duplication
Easy Integration with Apache Camel and Fuse IDEJBUG London
The talk presented by James Strachan (Red Hat) on the 6th of March 2013 at the London JBoss USer Group event.
Visit London JBUG on Meetup http://www.meetup.com/JBoss-User-Group/
The document discusses new features in Java 8 including lambda expressions, streams API, date and time API improvements, and base64 encoding/decoding additions to the platform. It also covers performance enhancements like parallel array sorting, Nashorn JavaScript engine integration, and removal of permanent generation memory. Modularization plans for Java 9 and beyond are briefly mentioned.
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.
JavaOne 2016: Kubernetes introduction for Java Developers Rafael Benevides
This document provides an introduction to Kubernetes and summarizes some of its key concepts. It describes how Kubernetes can manage containers across multiple machines and help address challenges of scaling, port conflicts, and high availability. Core Kubernetes concepts discussed include pods, replication controllers, labels, services, and persistent volumes. It also provides an overview of a sample application that will be used in an accompanying Kubernetes lab.
This document provides an overview and agenda for a presentation on Apache ActiveMQ 5.9.x and Apache Apollo. The presentation will cover new features in ActiveMQ 5.9.x including AMQP 1.0 support, REST management, a new default file-based store using LevelDB, and high availability replication of the store. It will also introduce Apache Apollo and allow for a question and discussion period.
Messaging is the backbone of many top enterprises. It affords reliable, asynchronous data passing to achieve loosely coupled, highly scalable distributed systems. As enterprises large and small become more interconnected, demand for remote and limited devices to be integrated with enterprise systems is surging. Come see how the most widely used, open-source messaging broker, Apache ActiveMQ, fits nicely and how it supports polyglot messaging.
Single tenant software to multi-tenant SaaS using K8SCloudLinux
This document discusses how Kubernetes can be used to convert single-tenant software applications into multi-tenant SaaS applications. Key points include:
1) Kubernetes can orchestrate each tenant as a separate pod or set of pods, providing isolation, easy scalability, and the ability to customize deployments for each tenant.
2) This approach simplifies many challenges of traditional SaaS like customer management, billing integration, high availability, upgrades and rollbacks by leveraging Kubernetes features.
3) An initial test project converted an existing PHP/MySQL billing application for 10,000+ companies into a multi-tenant SaaS deployment using Kubernetes, requiring under 40 hours of development.
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.
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.
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.
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.
This document summarizes Nicolas De Loof's talk about patterns for developing applications in the cloud. The talk discusses scaling applications horizontally and vertically, keeping stateless designs, using standards, and designing for failure. It also emphasizes continuous integration, deployment, and delivery practices like managing infrastructure as code and enabling zero downtime deployments.
Private clouds are cloud infrastructure that resides within a company's own datacenter and is managed internally. They allow a company to have cloud-like capabilities while maintaining control and security over their own data. Private clouds work by using virtualization and a controller to provision and track physical resources like servers, storage, and networks as more capacity is needed. The document discusses the private cloud platforms Eucalyptus, OpenStack, and CloudStack, comparing their architectures, development histories, and strengths for different use cases.
OpenStack is an open source cloud computing platform that can manage large networks of virtual machines and physical servers. It uses a distributed architecture with components like Nova (compute), Swift (object storage), Cinder (block storage), and Quantum (networking). OpenStack has been successful due to its scalability, support for multiple hypervisors including Hyper-V, and compatibility with popular programming languages like Python. While OpenStack is best suited for large public and private clouds, its complex installation and lack of unified deployment tools can present challenges, especially for small to mid-sized clouds.
This document provides an introduction and overview of Docker, including its rapid growth and adoption, key benefits for developers and operations teams, technical underpinnings, ecosystem support, use cases, and future plans. Docker provides a way to package applications into lightweight containers that are portable and can run on any infrastructure. It solves issues around dependency management and consistency across environments.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
This document provides an introduction and overview of Docker. It discusses why Docker was created to address issues with managing applications across different environments, and how Docker uses lightweight containers to package and run applications. It also summarizes the growth and adoption of Docker in its first 7 months, and outlines some of its core features and the Docker ecosystem including integration with DevOps tools and public clouds.
This document provides an introduction to Docker, including why it was created, how it works, and its growing ecosystem. Docker allows applications to be packaged with all their dependencies and run consistently across any Linux server by using lightweight virtual containers rather than full virtual machines. It solves the problem of differences between development, testing, and production environments. The document outlines the technical details and advantages of Docker, examples of how companies are using it, and the growing support in tools and platforms.
Current State of Affairs – Cloud Computing - Indicthreads Cloud Computing Con...IndicThreads
Session presented at the 2nd IndicThreads.com Conference on Cloud Computing held in Pune, India on 3-4 June 2011.
http://CloudComputing.IndicThreads.com
Abstract: Cloud Computing has had phenomenal growth over the past year and continues to entrench itself in all facets of IT. Cloud Computing is definitely more than just a buzz word or a passing trend. Now the heavy weights like IBM, HP and SAP are ready lock horns with existing players like Amazon, Salesforce and Microsoft whose offerings have matured over a period of time. Besides these big players, a lot of start ups are coming up with innovative offerings in this space.
The talk is about the current state of affairs in the cloud computing. It will cover the products, services and offerings that have been making a lot of noise in the cloud computing space.
Following are the main points that will be covered in the talk:
1. New Players: A lot of enterprise market giants are now coming to the cloud party offering infrastructure and platform services. IBM has come out with its SmartCloud for private as well as public clouds. Oracle has released its Cloud-in-a-box solution. The talk will cover all the new offerings by these enterprise giants.
2. Old Players, New offerings – Amazon being the leader in the Cloud Infrastructure space has rolled out a lot of new products and services, strengthening its hold in the market and expanding into the PaaS segment. Amazon Beanstalk, Amazon CloudFormation and EC2 Dedicated instances most notably have the power to be game changers. SalesForce the leader in the Cloud SaaS space released database.com, enterprise cloud database and its “PaaS” offering similar to GAE – VMforce.com This section will cover the new offerings by the players.
3 .Interesting Players in the cloud ecosystem: There have been a lot of new players who are leveraging the cloud to build some exciting products like Scalable API platforms, Cloud-based logging, Java in the Cloud. etc eg. Apigee, PiCloud, Loggly,Cumulogic, Cloudbees being some of them. This section will cover most of the exciting platforms and technologies these companies are working on.
4. Current Trends and Future: This section will cover the current trends(where a lot of startups are investing in) and how the future will look like in the cloud space.
Finally, the talk plans to “arm” developers and architects with the latest and cutting edge platforms, products and technologies in the cloud that have been developed and made available over the last year, helping them to leverage the cloud and make better choices leading to higher ROI and lesser TCO.
Speaker:
Chirag Jog, is the CTO at Clogeny Technologies where the main focus is on Innovation in the Cloud Computing, Scalable Applications and Storage space. He is the chief geek at Clogeny who talks “Cloud” and works on architecting exciting ideas in the cloud space. He has previously spoken at IndicThreads, CloudCamp and other cloud related events.
The document discusses migrating a fast scaling system from physical servers to AWS. It outlines the agenda which includes an overview of physical systems and virtualization, the Topica Edumall system design, applying DevOps practices, and a Q&A. The Topica Edumall hybrid system is described as using VPS, physical servers, and AWS for core video streaming. Benefits of migrating the auto-scaling system to Docker and Kubernetes on AWS include high availability, easy scaling, auto-healing, and saving 40% costs with full utilization of AWS services. DevOps practices like CI/CD workflows are also discussed.
This document provides an introduction to Docker, including:
- Docker allows developers to package applications with all dependencies into standardized units called containers that can run on any infrastructure.
- Docker uses namespaces and control groups to provide isolation and security between containers while allowing for more efficient use of resources than virtual machines.
- The Docker architecture includes images which are templates for creating containers, a Dockerfile to automate image builds, and Docker Hub for sharing images.
- Kubernetes is an open-source platform for automating deployment and management of containerized applications across clusters of hosts.
Rami Sayar - Node microservices with DockerWeb à Québec
The document discusses converting a monolithic Node.js application into microservices and deploying them using Docker. It begins by defining microservices and their benefits. It then describes converting a sample pizza ordering application into independent microservices for handling messages, serving the frontend, and providing an API. Next, it covers patterns for networking microservices, including using an API gateway. It concludes by demonstrating how to deploy the microservices to Docker containers and use an orchestration tool like Kubernetes to manage them.
The challenge of application distribution - Introduction to Docker (2014 dec ...Sébastien Portebois
Live recording with the demos: https://www.youtube.com/watch?v=0XRcmJEiZOM
Contents
- The application distribution challenge
- The current solutions
- Introduction to Docker, Containers, and the Matrix from Hell
- Why people care: Separation of Concerns
- Technical Discussion
- Ecosystem, momentum
- How to build Docker images
- How to make containers talk to each other, how to handle data persistence
- Demo 1: isolation
- Demo 2: real case - installing Go Math! Academy, tail –f containers, unit tests
AWS re:Invent 2016: Netflix: Container Scheduling, Execution, and Integration...Amazon Web Services
Customers from over all over the world streamed forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.
The document outlines the agenda for the OpenStack Summit in November 2013, including presentations on Docker and its ecosystem, how Docker can be used with OpenStack and Rackspace, and a demonstration of cross-cloud application deployment using Docker. Docker is presented as a solution to the "matrix from hell" of running applications across different environments by providing lightweight, portable containers that can run anywhere regardless of the operating system. The summit aims to educate attendees on Docker and showcase its integration with OpenStack for simplified and efficient application deployment and management across multiple clouds.
Containers, Serverless and Functions in a nutshellEugene Fedorenko
This document provides an overview of containers, microservices, Docker, Kubernetes, serverless computing, and functions. It discusses how containers package software for distribution and are more lightweight than virtual machines. Microservices decompose monolithic applications into loosely coupled services. Docker is a popular container platform, while Kubernetes is an open source orchestration system for containers. Serverless computing focuses on writing code without managing infrastructure, using functions as units of work. Functions are stateless and triggered by events. Platforms like AWS Lambda, Azure Functions, Fn, and OpenFaaS support serverless development.
Move Auth, Policy, and Resilience to the PlatformChristian Posta
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 IstioChristian Posta
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 IdentityChristian Posta
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.
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
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.
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 PatternsChristian Posta
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 MeshChristian Posta
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!)Christian Posta
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 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 EnterpriseChristian Posta
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 adoptionChristian Posta
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 LinkerdChristian Posta
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.
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...Christian Posta
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 AppMeshChristian Posta
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.
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 crisisChristian Posta
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).
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...Christian Posta
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
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.
What is OCR Technology and How to Extract Text from Any Image for FreeTwisterTools
Discover the fascinating world of Optical Character Recognition (OCR) technology with our comprehensive presentation. Learn how OCR converts various types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. Dive into the history, modern applications, and future trends of OCR technology. Get step-by-step instructions on how to extract text from any image online for free using a simple tool, along with best practices for OCR image preparation. Ideal for professionals, students, and tech enthusiasts looking to harness the power of OCR.
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.
CommandBox was highlighted as a powerful web hosting solution, perfect for developers and businesses alike. Featuring a built-in server and command-line interface, CommandBox simplified web application management. Developers could deploy multiple application instances simultaneously, optimizing development workflows. CommandBox's efficient deployment processes ensured reliable web hosting, seamlessly integrating into existing workflows for scalability and feature enhancements.
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.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
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
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.
Austere Systems Company Portfolio (ASPL).pdfsupport433113
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.
Discover BoxLang in our introductory workshop, where participants explored its innovative platform and learned to harness its power for efficient web development. Whether new to BoxLang or deepening their skills, attendees gained practical insights and hands-on experience. The workshop showcased how BoxLang streamlines development workflows and unlocks new possibilities in web application creation.
Navigating the New Era of Adaptive PPM with OnePlan - Webinar 27Jun24.pdfOnePlan Solutions
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.
How to debug ColdFusion Applications using “ColdFusion Builder extension for ...Ortus Solutions, Corp
Unlock the secrets of seamless ColdFusion error troubleshooting! Join us to explore the potent capabilities of Visual Studio Code (VS Code) and ColdFusion Builder (CF Builder) in debugging. This hands-on session guides you through practical techniques tailored for local setups, ensuring a smooth and efficient development experience.
Seamless PostgreSQL to Snowflake Data Transfer in 8 Simple StepsEstuary Flow
Unlock the full potential of your data by effortlessly migrating from PostgreSQL to Snowflake, the leading cloud data warehouse. This comprehensive guide presents an easy-to-follow 8-step process using Estuary Flow, an open-source data operations platform designed to simplify data pipelines.
Discover how to seamlessly transfer your PostgreSQL data to Snowflake, leveraging Estuary Flow's intuitive interface and powerful real-time replication capabilities. Harness the power of both platforms to create a robust data ecosystem that drives business intelligence, analytics, and data-driven decision-making.
Key Takeaways:
1. Effortless Migration: Learn how to migrate your PostgreSQL data to Snowflake in 8 simple steps, even with limited technical expertise.
2. Real-Time Insights: Achieve near-instantaneous data syncing for up-to-the-minute analytics and reporting.
3. Cost-Effective Solution: Lower your total cost of ownership (TCO) with Estuary Flow's efficient and scalable architecture.
4. Seamless Integration: Combine the strengths of PostgreSQL's transactional power with Snowflake's cloud-native scalability and data warehousing features.
Don't miss out on this opportunity to unlock the full potential of your data. Read & Download this comprehensive guide now and embark on a seamless data journey from PostgreSQL to Snowflake with Estuary Flow!
Try it Free: https://dashboard.estuary.dev/register
Thinking about freelancing? It's not just about coding solo and avoiding coworkers. Join me as I share insights from my 15-year freelance journey, covering everything from managing invoices to client communication styles. This session blends ColdFusion-specific tips with general freelance and consulting advice, with time for audience Q&A.
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.
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.
2. Christian Posta
Principal Middleware Specialist/Architect
Twitter: @christianposta
Blog: http://blog.christianposta.com
Email: christian@redhat.com
• Committer on Apache Camel, Apache ActiveMQ, Fabric8
• Worked with largest Microservices, web-scale, unicorn companies
• Blogger, speaker about DevOps, integration, and microservices
• Currently writing “Microservices for Java developers” for
O’Reilly (June 2016)
Cloud Native Architectures
7. • Trying to incorporate new technology?
• Trying to copy what others (Netflix, Amazon) are
doing?
• Tactical automation?
• Created a “DevOps” team?
• Exploring cloud services?
• Build/deploy automation?
• OpenSource?
• Piecemeal integration?
How are you keeping up with change?
Cloud Native Architectures
8. Cloud Native Architectures
• Faster software delivery
• Own database (data)
• Faster innovation
• Scalability
• Right technology for the
problem
• Test individual services
• Isolation
• Individual deployments
9. Microservices helps solve the problem of
“how do we decouple our services and
teams to move quickly at scale to
deliver business value”
Cloud Native Architectures
11. • If my services are isolated at the process
level, I’m doing #microservices
I’m doing microservices if…
• If I use REST/Thrift/ProtoBuf instead of
SOAP, I’m doing #microservices
• If I use JSON, I’m doing #microservices
• If I use Docker / SpringBoot / Dropwizard /
embedded Jetty, I’m doing #microservices
16. Cloud Native Architectures
Fallacies of distributed computing
• Reliable networking
• Latency is zero
• Bandwidth is infinite
• Network is secure
• Topology doesn’t change
• Single administrator
• Transport cost is zero
• Network is homogenous
https://en.wikipedia.org/wiki/Fallacies_of_distributed_computing
21. Cloud Native Architectures
Apache Camel to the rescue!
• Small Java library
• Distributed-system swiss-army knife!
• Powerful EIPs
• Declarative DSL
• Embeddable into any JVM (EAP, Karaf, Tomcat, Spring
Boot, Dropwizard, Wildfly Swarm, no container, etc)
• Very popular (200+ components for “dumb pipes”)
23. Cloud Native Architectures
Apache Camel to the rescue!
• Automatic retries, backoff algorithms
• Dynamic routing
• Powerful testing/mocking framework
• Circuit breakers
• Backpressure mechanisms
• Beautiful REST DSL with built in Swagger support
24. • “Smart endpoints, dumb pipes”
• Endpoint does one thing well
• Metadata used for further routing
• Really “dynamic” with rules engine (eg,
Drools/BRMS)
Dynamic Routing
25. REST DSL
public class OrderProcessorRouteBuilder extends RouteBuilder {
@Override
public void configure() throws Exception {
rest().post(“/order/socks”)
.description(“New Order for pair of socks”)
.consumes(“application/json”)
.route()
.to(“activemq:topic:newOrder”)
.log(“received new order ${body.orderId}”)
.to(“ibatis:storeOrder?statementType=Insert”);
}
}
26. • Throttle EIP
• http://camel.apache.org/throttler.html
• Blocking SEDA Queue
• from(“seda:name?size=100&blockWhenFull=true)
• Configure jetty/netty to use blocking acceptor
queues
• https://wiki.eclipse.org/Jetty/Howto/High_Load
• Using Exception handling/retry and DLQ
logic when getting flow controlled
• http://camel.apache.org/error-handling-in-camel.html
Backpressure with Camel
27. Circuit breaker
public class OrderProcessorRouteBuilder extends RouteBuilder {
@Override
public void configure() throws Exception {
from(“direct:someinterface”)
.loadbalance()
.circuitBreaker(3, 20000L, MyException.class)
.to(“ibatis:storeOrder?statementType=Insert”);
}
}
30. Cloud Native Architectures
Typical problems developing microservices
• How to run them all locally?
• How to package them (dependency management)
• How to test?
• Vagrant? VirtualBox? VMs?
• Specify configuration
• Process isolation
• Service discovery
• Multiple versions?
31. Cloud Native Architectures
Shared infrastructure platforms headaches
• Different teams
• Different rates of change
• VM sprawl
• Configuration drift
• Isolation / multi-tenancy
• Performance
• Real-time vs batch
• Compliance
• Security
• Technology choices
34. Cloud Native Architectures
Immutable infrastructure/deploys
• “we’ll just put it back in Ansible”
• Avoid chucking binaries / configs together and hope!
• Cattle vs Pets
• Don’t change it; replace it
• System created fully from automation; avoid drift
• Eliminate manual configuration/intervention
43. RED HAT JBOSS FUSE
Development and tooling
Develop, test, debug, refine,
deploy
JBoss Developer Studio
Web services framework
Web services standards, SOAP, XML/
HTTP, RESTful HTTP
Integration framework
Transformation, mediation, enterprise
integration patterns
Management and
monitoring
System and web services metrics,
automated discovery, container
status, automatic updates
JBoss Operations Network
+
JBoss Fabric Management
Console
(hawtio)
Apache CXF Apache Camel
Reliable Messaging
JMS/STOMP/NMS/MQTT, publishing-subscribe/point-2-point, store and forward
Apache ActiveMQ
Container
Life cycle management, resource management, dynamic deployment,
security and provisioning
Apache Karaf + Fuse Fabric
RED HAT ENTERPRISE LINUX
Windows, UNIX, and other Linux
46. Cloud Native Architectures
Fuse Integration Services for OpenShift
• Set of tools for integration developers
• Build/package your Fuse/Camel services as Docker
images
• Run locally on CDK
• Deploy on top of OpenShift
• Plugs-in to your existing build/release ecosystem
(Jenkins/Maven/Nexus/Gitlab,etc)
47. Cloud Native Architectures
Fuse Integration Services for OpenShift
• Manage them with Kubernetes/OpenShift
• Flat class loader JVMs
• Take advantage of existing investment into Karaf with
additional options like “just enough app server”
deployments
• Supports Spring, CDI, Blueprint
49. Cloud Native Architectures
Using FIS on Red Hat CDK
• Small VM run locally by developers
• Full access to Docker, Kubernetes, OpenShift
• Deploy your suite of microservices with ease!
• Uses Vagrant/VirtualBox
• Getting Started on Windows! http://bit.ly/1U5xU4z
50. Cloud Native Architectures
Typical problems developing microservices
• How to run them all locally?
• How to package them
• How to test?
• Vagrant? VirtualBox? VMs?
• Specify configuration
• Process isolation
• Service discovery
• Multiple versions?
56. • Trying to incorporate new technology?
• Trying to copy what others (Netflix, Amazon) are
doing?
• Tactical automation?
• Created a “DevOps” team?
• Exploring cloud services?
• Build/deploy automation?
• OpenSource?
• Piecemeal integration?
How are you keeping up with change?
Cloud Native Architectures
57. • 100% open source, ASL 2.0
• Technology agnostic (java, nodejs, python,
golang, etc)
• Built upon decades of industry practices
• 1-click automation
• Cloud native (on premise, public cloud, hybrid)
• Complex build/deploy pipelines (human
workflows, approvals, chatops, etc)
• Comprehensive integration inside/outside the
platform
What if you could do all of this right now
with an open-source platform?
60. • Docker native, built on top of Kubernetes API
• Out of the box CI/CD, management UI
• Logging, Metrics
• ChatOps
• API Management
• iPaaS/Integration
• Chaos Monkey
• Lots and lots of tooling/libraries to make
developing cloud-native applications easier
http://fabric8.io
63. Christian Posta
Principal Middleware Specialist/Architect
Twitter: @christianposta
Blog: http://blog.christianposta.com
Email: christian@redhat.com
Questions
and
Discussion