Presentation in IBM Cloud Meet-up of Toronto
https://www.meetup.com/IBM-Cloud-Toronto/events/253903913/?_xtd=gatlbWFpbF9jbGlja9oAJGU3NmM3ZjdmLWE2NzgtNGVlNC1iNGZiLTBlZGE5ZWM0NDZjOQ
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
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.
This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.
Learn the differences between Envoy, Istio, Conduit, Linkerd and other service meshes and their components. Watch the recording including demo at: https://info.mirantis.com/service-mesh-webinar
Platform Engineering is the practice of building and operating a common platform as a product for technology teams.
In this session, we will talk about why and when we need a platform. How to build Platform Engineering and demo.
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
Youtube Record: https://youtu.be/brBZYbNbnAo
Dev Mountain Tech Festival 2022 @ Khaoyai
March 19, 2022
Microservices, Kubernetes and Istio - A Great Fit!
Microservices and containers are now influencing application design and deployment patterns. Sixty percent of all new applications will use cloud-enabled continuous delivery microservice architectures and containers. Service discovery, registration, and routing are fundamental tenets of microservices. Kubernetes provides a platform for running microservices. Kubernetes can be used to automate the deployment of Microservices and leverage features such as Kube-DNS, Config Maps, and Ingress service for managing those microservices. This configuration works fine for deployments up to a certain size. However, with complex deployments consisting of a large fleet of microservices, additional features are required to augment Kubernetes.
Istio is an open platform for providing a service mesh on Kubernetes clusters. It consists of three main components: Envoy proxies that mediate service-to-service communication, Pilot that configures the proxies, and Mixer that enforces policies and collects telemetry data. Istio injects Envoy sidecar proxies into applications so they can provide features like load balancing, authentication, failure recovery, and observability without requiring code changes. This provides a way to manage microservices that is more robust and flexible than using an API gateway alone.
AWS App Mesh (Service Mesh Magic)- AWS Container Day 2019 Barcelona
In this session, learn about how AWS App Mesh can help give you end-to-end visibility and manage traffic routing to ensure high availability for your microservice. We will cover what the need for a service mesh, capabilities of App Mesh, and show you a demo.
This talk provides a 101 introdution to Kubernetes from a user point of view.
Aimed at service providers, it was presented at the GPN Annual Meeting 2019. https://conferences.k-state.edu/gpn/
This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will:
- Review microservices architecture and how it differs from monolithic and service-oriented architectures.
- Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job.
- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
- Include a demo of microservices on AWS.
- Conclude with a question and answer session.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
It's been two years since we introduced the Istio project to the Triangle Kubernetes Meetup group. This presentation will be a brief re-introduction of the Istio project, and a summary of the updates to the Istio project since its 1.0 release.
Make Java Microservices Resilient with Istio - Mangesh - IBM - CC18
This presentation was made by Mangesh Patankar (Developer Advocate - IBM Cloud) as part of Container Conference 2018: www.containerconf.in.
"How do we make microservices resilient and fault-tolerant? How do we enforce policy decisions, such as fine-grained access control and rate limits? How do we enable timeouts/retries, health checks, etc.?
A service-mesh architecture attempts to resolve these issues by extracting the common resiliency features needed by a microservices framework away from the applications and frameworks and into the platform itself. Istio provides an easy way to create this service mesh."
The document discusses Predix Cloud deployment models including DevOps, BizOps, Asset Services, Data Services, Analytics, Security, and User Account and Authentication (UAA). Key points include that Predix Cloud provides a scalable cloud infrastructure, supports industrial data and regulatory compliance, and uses software defined infrastructure. It also discusses Continuous Delivery pipelines, subscription and utility billing models, REST APIs and graph databases for asset services, and various data stores and ingestion methods. Security features like UAA and an access control service are highlighted.
[APIdays Paris 2019] API Management in Service Mesh Using Istio and WSO2 API ...
Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Kubernetes Concepts And Architecture Powerpoint Presentation SlidesSlideTeam
The document provides an overview of Kubernetes concepts and architecture. It begins with an introduction to containers and microservices architecture. It then discusses what Kubernetes is and why organizations should use it. The remainder of the document outlines Kubernetes components, nodes, development processes, networking, and security measures. It provides descriptions and diagrams explaining key aspects of Kubernetes such as architecture, components like Kubelet and Kubectl, node types, and networking models.
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
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.
This document discusses the transition from monolithic architecture to microservices architecture. It begins by outlining challenges with monolithic systems like long development cycles and difficulties scaling. It then defines microservices as loosely coupled services that have bounded contexts. The document provides examples of how to evolve a monolith to microservices by starting with existing services and gradually decomposing the monolith. It acknowledges challenges in distributed systems and eventual consistency that come with microservices. Overall, the document presents microservices as enabling faster innovation, increased agility and delighted customers compared to monolithic systems.
Comparison of Current Service Mesh ArchitecturesMirantis
Learn the differences between Envoy, Istio, Conduit, Linkerd and other service meshes and their components. Watch the recording including demo at: https://info.mirantis.com/service-mesh-webinar
Platform Engineering is the practice of building and operating a common platform as a product for technology teams.
In this session, we will talk about why and when we need a platform. How to build Platform Engineering and demo.
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
Youtube Record: https://youtu.be/brBZYbNbnAo
Dev Mountain Tech Festival 2022 @ Khaoyai
March 19, 2022
Microservices, Kubernetes and Istio - A Great Fit!Animesh Singh
Microservices and containers are now influencing application design and deployment patterns. Sixty percent of all new applications will use cloud-enabled continuous delivery microservice architectures and containers. Service discovery, registration, and routing are fundamental tenets of microservices. Kubernetes provides a platform for running microservices. Kubernetes can be used to automate the deployment of Microservices and leverage features such as Kube-DNS, Config Maps, and Ingress service for managing those microservices. This configuration works fine for deployments up to a certain size. However, with complex deployments consisting of a large fleet of microservices, additional features are required to augment Kubernetes.
Istio is an open platform for providing a service mesh on Kubernetes clusters. It consists of three main components: Envoy proxies that mediate service-to-service communication, Pilot that configures the proxies, and Mixer that enforces policies and collects telemetry data. Istio injects Envoy sidecar proxies into applications so they can provide features like load balancing, authentication, failure recovery, and observability without requiring code changes. This provides a way to manage microservices that is more robust and flexible than using an API gateway alone.
AWS App Mesh (Service Mesh Magic)- AWS Container Day 2019 BarcelonaAmazon Web Services
In this session, learn about how AWS App Mesh can help give you end-to-end visibility and manage traffic routing to ensure high availability for your microservice. We will cover what the need for a service mesh, capabilities of App Mesh, and show you a demo.
An overview of the Kubernetes architectureIgor Sfiligoi
This talk provides a 101 introdution to Kubernetes from a user point of view.
Aimed at service providers, it was presented at the GPN Annual Meeting 2019. https://conferences.k-state.edu/gpn/
This document summarizes an upcoming presentation on architecting microservices on AWS. The presentation will:
- Review microservices architecture and how it differs from monolithic and service-oriented architectures.
- Cover key microservices design principles like independent deployment of services that communicate via APIs and using the right tools for each job.
- Provide example design patterns for implementing microservices on AWS using services like EC2, ECS, Lambda, API Gateway and more.
- Include a demo of microservices on AWS.
- Conclude with a question and answer session.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
This document provides an overview of Kubernetes including:
1) Kubernetes is an open-source platform for automating deployment, scaling, and operations of containerized applications. It provides container-centric infrastructure and allows for quickly deploying and scaling applications.
2) The main components of Kubernetes include Pods (groups of containers), Services (abstract access to pods), ReplicationControllers (maintain pod replicas), and a master node running key components like etcd, API server, scheduler, and controller manager.
3) The document demonstrates getting started with Kubernetes by enabling the master on one node and a worker on another node, then deploying and exposing a sample nginx application across the cluster.
This document provides an overview of Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It describes Kubernetes' architecture including nodes, pods, replication controllers, services, and networking. It also discusses how to set up Kubernetes environments using Minikube or kubeadm and get started deploying pods and services.
Istio Triangle Kubernetes Meetup Aug 2019Ram Vennam
It's been two years since we introduced the Istio project to the Triangle Kubernetes Meetup group. This presentation will be a brief re-introduction of the Istio project, and a summary of the updates to the Istio project since its 1.0 release.
This presentation was made by Mangesh Patankar (Developer Advocate - IBM Cloud) as part of Container Conference 2018: www.containerconf.in.
"How do we make microservices resilient and fault-tolerant? How do we enforce policy decisions, such as fine-grained access control and rate limits? How do we enable timeouts/retries, health checks, etc.?
A service-mesh architecture attempts to resolve these issues by extracting the common resiliency features needed by a microservices framework away from the applications and frameworks and into the platform itself. Istio provides an easy way to create this service mesh."
The document discusses Predix Cloud deployment models including DevOps, BizOps, Asset Services, Data Services, Analytics, Security, and User Account and Authentication (UAA). Key points include that Predix Cloud provides a scalable cloud infrastructure, supports industrial data and regulatory compliance, and uses software defined infrastructure. It also discusses Continuous Delivery pipelines, subscription and utility billing models, REST APIs and graph databases for asset services, and various data stores and ingestion methods. Security features like UAA and an access control service are highlighted.
[APIdays Paris 2019] API Management in Service Mesh Using Istio and WSO2 API ...WSO2
Stefano discusses how to augment service mesh functionality with API management capabilities, so you can create an end-to-end solution for your entire business functionality — from microservices, to APIs, to end-user applications.
클라우드 네이티브로의 전환이 확산되면서 애플리케이션을 상호 독립적인 최소 구성 요소로 쪼개는 마이크로서비스(microservices) 아키텍쳐가 각광받고 있는데요.
MSA는 애플리케이션의 확장이 쉽고 새로운 기능의 출시 기간을 단축시킬 수 있다는 장점이 있지만,
반면에 애플리케이션이 커지고 동일한 서비스의 여러 인스턴스가 동시에 실행되면 MSA간 통신이 복잡해 진다는 단점이 있습니다.
서비스 메쉬(Service Mesh)는 이러한 MSA의 트래픽 문제를 보완하기 위해 탄생한 기술로,
서비스 간의 네트워크 트래픽 관리에 초점을 맞춘 네트워킹 모델입니다.
서로 다른 애플리케이션이 얼마나 원활하게 상호작용하는지를 기록함으로써 커뮤니케이션을 최적화하고 애플리케이션 확장에 따른 다운 타임을 방지할 수 있습니다.
서비스 메쉬의 탄생 배경과 기능, 그리고 현재 오픈소스로 배포되어 있는 서비스 메쉬 솔루션에 대해 소개합니다.
Step1. Cloud Native Trail Map
Step2. Service Proxy, Discover, & Mesh
Step3. Service Mesh 솔루션
Step4. Service Mesh 구현화면 - Istio / linkerd
Step5. Multi-cluster (linkerd)
A service mesh is a necessary tool in your cloud native infrastructure. The era of service meshes ushers in a new layer of intelligent network services that are changing the architecture of modern applications and the confidence with which they are delivered. Istio, as one of many service meshes, but one with a vast set of features and capabilities, needs an end-to-end guide
Cloud native microservices for systems and applications ieee rev2Prem Sankar Gopannan
This document discusses cloud native microservices and key components for implementing them. It provides an overview of microservices principles and design patterns, and describes the cloud native landscape including containers, Kubernetes, service meshes like Istio, and other open source tools. It also discusses architectures like ONAP and considerations for deploying virtual network functions using microservices.
API Management and microservices architecture
What are the key benefits of microservices architecture?
How do Axway products simplify and secure microservices architecture?
Kubernetes And Istio and Azure AKS DevOpsOfir Makmal
This document discusses Kubernetes and Istio. It provides an overview of Kubernetes as a container orchestration engine and cluster management system. It then discusses the rise of microservices and some of the complexities they introduce. It introduces Istio as a service mesh that takes care of communication and policies between microservices to help manage this complexity. Key components of Istio like Pilot, Mixer, and Envoy are described. Examples of capabilities like intelligent routing, failure handling, and fault injection are provided. A demo application and platform is used to demonstrate Istio's observability, monitoring, and traffic shifting features.
Open Source Networking Days- Service MeshCloudOps2005
At the Linux Foundation's 2018 Open Source Networking Days, Syed Ahmed compared service mesh options (Istio, Linkerd, and Consul Connect) and spoke about how they diverge from many complications traditionally found in monolithic applications.
The document provides an overview of modern cloud architecture. It discusses key cloud concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also covers architectural considerations for cloud applications like multi-tenancy, load balancing, scaling, security, monitoring, and metering. Microservices architecture and containerization are introduced as approaches for building applications for the cloud. Data-intensive architectures like lambda architecture are also summarized.
Istio as an Enabler for Migrating Monolithic Applications to Microservices v1.3Ahmed Misbah
Migrating application architectures to microservices is considered a key area of transformation in the IT world. Modernizing legacy applications to Kubernetes-based microservices can prove to be very challenging if not planned correctly, taking into consideration the right technologies and enablers.
This session explains how Istio can be used as an enabler for modernizing legacy monolithic applications to microservices. Topics covered in the presentation will include:
1- Advantages of migrating to microservices and service mesh
2- Designing a microservice application based on splitting an existing monolithic application
3- Implementing microservices iteratively as a strangler fig application with Istio
Speaker:
Owen Garrett
Sr. Director, Product Management
NGINX, Inc.
On-Deman Link: https://www.nginx.com/resources/webinars/need-service-mesh/
About the webinar:
Service mesh is one of the hottest emerging technologies. Even though it’s a nascent technology, many vendors have already released their implementation. But do you really need a service mesh?
Attend this webinar to learn about the levels of maturity on the journey to modernizing your apps using microservices, and the traffic management approaches best suited to each level. We’ll help you figure out if you really need a service mesh.
Service Fabric – building tomorrows applications todayBizTalk360
This session walks through incorporating Microsoft Service Fabric into your next application for zero downtime and upgradability. Microsoft have released the very same Azure Fabric smarts that look after for e.g. Azure VM management, into the Application space. Meaning your Apps can be based on the Actor model, highly distributed, scalable and in place upgrades with zero down time is now possible. Tapping into scale is key in this world of Cloud First, Device First world - can your apps handle the load? Bring the management of Azure to your application layer.
1. ONAP was evolving from a "SOA-like" architecture to a "pure microservices" architecture. MSB provided transparent service registration and communication for ONAP microservices.
2. Istio is an open source service mesh that provides reliability, security, observability and manageability for microservices. It introduces a centralized control plane to manage distributed sidecars.
3. Integrating Istio with ONAP would provide benefits like distributed tracing, metrics visibility and service graph for ONAP microservices. It is important to address challenges in supporting multiple network interfaces and coarse-grained services.
This document provides an overview of service meshes and Istio. It defines what a service mesh is and describes some of its key capabilities like service discovery, load balancing, and observability. It then discusses Istio and how it works with Kubernetes as a service mesh. Istio's architecture is explained, including its control plane components like Pilot and data plane component Envoy. Lastly, it covers Istio deployment models and provides a case study on mesh federation.
Client Deployment of IBM Cloud Private (Think 2019 Session 5964A)Yong Feng
This document provides guidance on planning and designing IBM Cloud Private deployments. It discusses key architecture decisions around high availability, workloads, security and more. It also covers topics like network topology, storage options, infrastructure providers, configuration of management services, and examples for large scale, multi-tenant and air-gapped environments. The goal is to help customers successfully plan their specific IBM Cloud Private architecture based on their requirements.
When HPC meet ML/DL: Manage HPC Data Center with KubernetesYong Feng
When HPC Meet ML/DL
Machine learning and deep learning (ML/DL) are becoming important workloads for high performance computing (HPC) as new algorithms are developed to solve business problems across many domains. Container technologies like Docker can help with the portability and scalability needs of ML/DL workloads on HPC systems. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications that can help run MPI jobs and ML/DL pipelines on HPC systems, though it currently lacks some features important for HPC like advanced job scheduling capabilities. Running an HPC-specific job scheduler like IBM Spectrum LSF on top of Kubernetes is one approach to address current gaps in
Edge 2016 Session 1886 Building your own docker container cloud on ibm power...Yong Feng
The material for IBM Edge 2016 session for a client use case of Spectrum Conductor for Containers
https://www-01.ibm.com/events/global/edge/sessions/.
Please refer to http://ibm.biz/ConductorForContainers for more details about Spectrum Conductor for Containers.
Please refer to https://www.youtube.com/watch?v=7YMjP6EypqA and https://www.youtube.com/watch?v=d9oVPU3rwhE for the demo of Spectrum Conductor for Containers.
Edge 2016 SCL-2484: a software defined scalable and flexible container manage...Yong Feng
The material for IBM Edge 2016 session for Spectrum Container Management Solution.
https://www-01.ibm.com/events/global/edge/sessions/.
Please refer to http://ibm.biz/ConductorForContainers for more details about Spectrum Conductor for Containers.
Please refer to https://www.youtube.com/watch?v=7YMjP6EypqA and https://www.youtube.com/watch?v=d9oVPU3rwhE for the demo of Spectrum Conductor for Containers.
Presentation in Mesos Con 2016
https://mesosconna2016.sched.org/event/6jto/optimistic-offer-what-does-it-mean-to-apache-mesos-framework-yong-feng-ibm-canada-ltd
Platform Resource Scheduler Holistic Application Policy in HeatYong Feng
This Heat template defines two resource policy groups that specify affinity and anti-affinity placement policies for virtual machine instances. The tier1_policy_group defines an affinity policy at the rack and host level, while the tier2_policy_group defines an anti-affinity policy at the host level. Auto scaling groups are defined for each tier that reference the appropriate policy group to influence instance placement according to the defined policies during auto scaling events.
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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.
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 –
React Native vs Flutter - SSTech SystemSSTech System
Your project needs and long-term objectives will ultimately choose which of React Native and Flutter to use. For applications using JavaScript and current web technologies in particular, React Native is a mature and trustworthy choice. For projects that value performance and customizability across many platforms, Flutter, on the other hand, provides outstanding performance and a unified UI development experience.
CViewSurvey Digitech Pvt Ltd that works on a proven C.A.A.G. model.bhatinidhi2001
CViewSurvey is a SaaS-based Web & Mobile application that provides digital transformation to traditional paper surveys and feedback for customer & employee experience, field & market research that helps you evaluate your customer's as well as employee's loyalty.
With our unique C.A.A.G. Collect, Analysis, Act & Grow approach; business & industry’s can create customized surveys on web, publish on app to collect unlimited response & review AI backed real-time data analytics on mobile & tablets anytime, anywhere. Data collected when offline is securely stored in the device, which syncs to the cloud server when connected to any network.
Attendance Tracking From Paper To DigitalTask Tracker
If you are having trouble deciding which time tracker tool is best for you, try "Task Tracker" app. It has numerous features, including the ability to check daily attendance sheet, and other that make team management easier.
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Overview of ERP - Mechlin Technologies.pptxMitchell Marsh
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Sami provided a beginner-friendly introduction to Amazon Web Services (AWS), covering essential terms, products, and services for cloud deployment. Participants explored AWS' latest Gen AI offerings, making it accessible for those starting their cloud journey or integrating AI into coding practices.
3. An engineering approach focused on decomposing an
application into single function modules with well defined
interfaces which are independently deployed and operated
by a small team who owns the entire lifecycle of the
service.
UI
DB DB DB
Micro
service
Micro
service
Micro
service
Micro
service
Micro
service
MICROSERVICES ARCHITECTURE
4. Improved delivery velocity in
exchange for increased operational
complexity.
Containers and Kubernetes are
great enablers to these design
goals: clean packaging, rapid
deployment, consistency, reliability &
scalability
This is the reality of microservices
implementation at scale.
Kubernetes and containers in of
themselves does not address these
complexity challenges
Hailo microservices
Cited from https://medium.com/@mattheath/a-long-journey-into-
a-microservice-world-a714992d2841
THE TRADE OFF
5. • Applications aren’t running in green-field environments
• Challenges in the network in between the Services
• Network layer is hard to manage
• Tooling is nascent
MICROSERVICES ARE HARD
6. Things to
consider
• Security
• Canary deployments
• A/B testing
• Circuit breaking
• Rate limiting
• Fault injection
• Tracing
• Monitoring
• Many more….
8. Service Mesh
A dedicated infrastructure layer for managing service-
to-service communication to make it manageable,
visible and controlled
A Control Plane & Network Overlay in between the
Services
9. Istio
A service mesh designed to connect, manage and
secure micro services.
Using Open Source & Open Standards
(Joint project between IBM, Google, Lyft & others)
With Zero Application Code Changes
11. Proxy: Based on Envoy, mediates inbound and outbound traffic for all Istio-managed services.
Pilot: Configures Istio deployments and propagate configuration to the other components of the system.
Mixer: Responsible for policy decisions and aggregating telemetry data from the other components in the
system using a flexible plugin architecture.
Citadel: Secures the service-to-service communication and provides a key management system to manage
keys and certificates.
Data Plane: Composed of a set of
intelligent proxies (Envoy) deployed as
sidecars. These proxies mediate and
control all network communication
between microservices along with Mixer,
a general-purpose policy and telemetry
hub.
Control Plane: Manages and configures
the proxies to route traffic. Additionally,
the control plane configures Mixers to
enforce policies and collect telemetry.
ISTIO CONCEPTS
13. • Ingress
• Gateway: configures a load balancer (one or multiple FQDN) for HTTP/TCP
traffic at the edge of the mesh
• Inside mesh
• VirtualService: defines the rules that control how requests for a service (one
or multiple FQDN) are routed.
• DestinationRule: configures the set of policies (a set of instances) to be
applied to a request after VirtualService routing has occurred
• Egress
• ServiceEntry: commonly used to enable requests to services outside of an
Istio service mesh
ROUTING CONTROL
14. • Maintain platform-agnostic
model of services in the
mesh
• Platform-specific adapter
implement platform specific
logic
• Service discovery
• Ingress resource
• Rule definition
• Push configuration to Envoy
and apply without restarts
TRAFFIC MANAGEMENT - PILOT
15. • Route to specific
version of service
• Route based on
request attribute
• …
Three versions of the service of reviews
TRAFFIC MANAGEMENT
REQUEST ROUTE (DEMO)
16. • Route to existing version of
service
• Route part of the request to
new version of service
• Route all the request to the
new version of service
Three versions of the service of reviews
TRAFFIC MANAGEMENT
TRAFFIC SHIFT (DEMO)
17. Cited from https://www.infoq.com/presentations/istio-service-mesh
• Collect metrics and logs emitted by
Envoys without instrumenting apps
• Provide a uniform abstraction
between application and infra
backend
• Adapters in the Mixer normalize and
forward to backends (monitoring,
billing …)
• Trace flow of requests across
services
• Mixer is stateless with caching and
buffering
OBSERVABILITY - MIXER
18. • Instrumentation
• Transport or agent
• Collector
• Storage
• API and UI
OBSERVABILITY
TRACING WITH ZIPKIN AND JAEGER
19. Zipkin has been replaced by Jaeger in Istio 0.8 and newer version
Application is required to collect and propagate the following headers from
the incoming request to any outgoing requests
• x-request-id
• x-b3-traceid
• x-b3-spanid
• x-b3-parentspanid
• x-b3-sampled
• x-b3-flags
• x-ot-span-context
OBSERVABILITY
TRACING WITH ZIPKIN AND JAEGER (DEMO)
20. • Generation of instances (in this example, metric values) from Istio attributes
• Creation of handlers (configured Mixer adapters) capable of processing generated
instances
• Dispatch of instances to handlers according to a set of rules
OBSERVABILITY
METRICS WITH MIXER + PROMETHEUS (DEMO)
21. Need a management service to
• Secure microservices and their communication without instrumenting apps
• ID management
• Key/cert management
• Access control
SECURITY
22. • Key management system
• Automate key and certificate
generation for service account
• Distribute key/certs as kuberentes
secret
• Rotate keys/certs periodically
• Revoke key/certs when required
• Self-signed (root) CA vs user
defined (root) CA
• Identity management
• Identify service by service account
in SPIFFE format
“spiffe://<domain>/ns/<namespace>/sa/<serviceaccount
>”
SECURITY
CERT MANAGEMENT - CITADEL
23. • Generate the config with proper information of key/certs and
secure naming information, and then pass to envoy
SECURITY
ID MANAGEMENT - PILOT
24. • Access control between
services
• Rule based by defining “Rule”
with “match”, “handler” and
“instance”
• RBAC based by defining
“ServiceRole” with “action”,
and defining
“ServiceRoleBinding” with
“subject” and “roleRef”
SECURITY
ACCESS CONTROL - PILOT
25. • Inject sidecar by leveraging MutatingAdmissionWebhook
• Manage policy and configuration by leveraging Custom Resource Definitions
• Identify account by leveraging Service Account and Secret
• Identify service by leveraging Service Discovery
KUBERNETES INTEGRATION
26. • 1 vCPU per peak thousand requests per second for the sidecar(s) with access
logging (which is on by default) and 0.5 without, fluentd on the node is a big
contributor to that cost as it captures and uploads logs.
• Assuming typical cache hit ratio (>80%) for mixer checks: 0.5 vCPU per peak
thousand requests per second for the mixer pods.
• Latency cost/overhead is approximately 10 millisecond for service-to-service (2
proxies involved, mixer telemetry and checks) as of 0.7.1, we expect to bring
this down to a low single digit ms.
• mTLS costs are negligible on AES-NI (aes in /proc/cpuinfo) capable hardware
in terms of both CPU and latency.
PERFORMANCE AND SCALABILITY
27. ‣ Web istio.io
‣ Twitter: @Istiomesh
‣ Github: https://github.com/istio/istio
‣ Community Doc: https://istio.io/docs
‣ Traffic management using Istio: https://ibm.co/2F7xSnf
‣ Resiliency and fault-tolerance using Istio:
https://bit.ly/2qStF2B
‣ Reliable application roll out and operations using Istio:
https://bit.ly/2K9IRQX
USEFUL LINKS
Thing to keep in mind
It’s not about technology. It’s about people, processes and culture
Docker
IBM’s Amalgam8 project is a unified service mesh that provides a traffic routing fabric with a programmable control plane to help internal and enterprise customers with A/B testing, canary releases, and to systematically test the resilience of services against failures.
Google’s Service Control provides a service mesh with a control plane that focuses on enforcing policies such as ACLs, rate limits, and authentication in addition to gathering telemetry data from various services and proxies.
Lyft developed the Envoy proxy to aid its microservices journey, which brought the company from a monolithic app to a production system spanning 10,000 or more VMs handling 100 or more microservices.
ISTIO delivers the needed functions for inflight changes, improved resiliency and policy enforcement.
ISTIO delivers the needed functions for inflight changes, improved resiliency and policy enforcement.
Mixer collects metrics emitted by Envoys
Adapters in the Mixer normalize and forward to backends (monitoring, billing …)
Metrics backend can be swapped at runtime
Mixer is stateless with caching and buffering
Mixer as an intermediation layer allows operators to have fine-grained control over all interactions
https://developer.ibm.com/code/patterns/manage-microservices-traffic-using-istio/
https://github.com/IBM/microservices-traffic-management-using-istio
https://istio.io/docs/concepts/security/
https://github.com/istio/istio/tree/master/security
Citadel:
Key management system
Automate key and certificate generation for service account
Distribute key/certs as kuberentes secret
Rotate keys/certs periodically
Revoke key/certs when required
Self-signed (root) CA vs user defined (root) CA
Identity management
Identify service by service account in SPIFFE format
“spiffe://<domain>/ns/<namespace>/sa/<serviceaccount>”
Pilot:
Generate the config with proper information of key/certs and secure naming information, and then pass to envoy
Access control between services
Rule based by defining “Rule” with “match”, “handler” and “instance”
RBAC based by defining “ServiceRole” with “action”, and defining “ServiceRoleBinding” with “subject” and “roleRef”