Containers on AWS
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The document covers an AWS user group meeting focused on container technology, particularly Docker and orchestration tools like ECS and EKS. It discusses the benefits of using AWS for container management, including serverless options such as Fargate and ECR for image storage. Additionally, it highlights the integration of microservices and machine learning capabilities within AWS infrastructure.
Containers on AWS
- 1. BADIR 22-12-2018 Containers on AWS AWS Riyadh User Group Mohamed Rashed 20 @mrashed /in/morashed m@mrashed.net
- 2. Agenda • Containers • Docker • Orchestration • AWS Compute • Faregate – EC2 • AWS Orchestration • ECS – EKS • Microservices-DevOps
- 4. Virtual Machines vs. Containers
- 5. Virtual Machines vs. Containers
- 6. Containerization Terminologies • Container • Image • Image Layer • Base Image • Registry • Tag
- 7. Container Images • A container image is structured in terms of “layers”. • An image is a collection of files and some meta data • Each image contains software you want to run • Every image contains a base layer • Layers are read only • Image Tags => Images are specified by repository:tag Default tag is latest
- 8. Docker • Docker is an Open platform for developers and sysadmins to build, ship and run distributed applications.
- 11. Docker - Terminologies • Docker Engine – Docker Registry, CLI. • Image – operating systems kernels supplied for a specific instance type / application. • Container – an application running from an image. • DockerFile – a text file with a list of steps to perform to create an image. • Docker Hub – Docker Registry and Repository used for download and share images.
- 12. Docker Benefits • Fast (deployment, migration, restarts) • Secure • Lightweight (save disk & CPU) • Open Source • Portable software • Microservices and integrations (APIs) • Simplify DevOps • Version control capabilities
- 13. Docker Flow Image Container Operating System Software Application Code Run
- 16. Kubernetes (k8s) is an open-source system for automating deployment, scaling, and management of containerized applications.It groups containers that make up an application into logical units for easy management and discovery
- 17. History and Multi-Dimensional Evolution of Computing
- 19. ECS - Elastic Container Service Why use Amazon ECS • Containers Without Servers • Containerize Everything • Secure • Performance At Scale • Aws Integration https://containersonaws.com
- 20. ECS - Elastic Container Service When to use Amazon ECS • Microservices • Batch Processing • Application Migration to the Cloud • Machine Learning Run my container for me
- 21. How Amazon ECS works
- 22. AWS Fargate • Amazon ECS has two modes: 1. Fargate launch type 2. EC2 launch type. • With Fargate launch type, all you have to do is 1. Package your application in containers, 2. Specify the CPU and memory requirements, define networking and IAM policies, and launch the application. Run containers without managing servers or clusters المفتاح وسلمنا إرتاح
- 23. EKS - Amazon Elastic Container Service for Kubernetes Benefits • Seamless Integration with AWS • Secure By Default • Built With The Community Highly available, scalable, and secure Kubernetes service Run Kubernetes for me Platform for enterprises to run production-grade Kubernetese- grade installation
- 24. How Amazon EKS works https://eksworkshop.com/
- 25. ECR - Amazon Elastic Container Registry Amazon Elastic Container Registry (ECR) is a fully-managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. Easily store, manage, and deploy container images
- 26. How Amazon ECR works
- 27. Containers run better on AWS Serverless Serverless technologies let you focus on designing and building your containerized applications instead of managing the infrastructure that runs them. AWS Fargate is a serverless compute engine that makes it easy to run containers in production.
- 28. Containers run better on AWS Microservices AWS offers managed services for Service Discovery and Service Mesh that make it easy to run microservices. AWS Cloud Map is a cloud resource discovery service that lets you define how services discover and connect with each other. https://d1.awsstatic.com/whitepapers/microservices-on-aws.pdf
- 29. Containers run better on AWS Machine learning AWS makes it easy to use containers run advanced workloads for machine learning, high performance computing, financial analytics, and video transcoding. Amazon EKS makes it easy to run machine learning workloads using Kubernetes on AWS with an optimized Amazon Machine Image (AMI)
- 30. Companies adopting Amazon EKS
- 31. Companies adopting Amazon EKS
- 33. Build a Modern Web Application ( Use case ) Deploy a web application, connect to a database, and analyze user behavior Follow step-by-step instructions to build your first modern application using Python. https://aws.amazon.com/getting- started/projects/build-modern-app-fargate-lambda- dynamodb-python/
- 36. Questions
- 37. See You Next Meetup AWS Riyadh User Group
Editor's Notes
- #19: We are in digital transformation era Everything try to fulfill business need
- #25: Benefits NO CONTROL PLANE TO MANAGE Amazon EKS runs the Kubernetes management infrastructure across multiple AWS Availability Zones, automatically detects and replaces unhealthy control plane nodes, and provides on-demand upgrades and patching. You simply provision worker nodes and connect them to the provided Amazon EKS endpoint. SECURE BY DEFAULT Secure and encrypted communication channels are automatically setup between your worker nodes and the managed control plane, making your infrastructure running on Amazon EKS secure by default. BUILT WITH THE COMMUNITY AWS actively works with the Kubernetes community, including making contributions to the Kubernetes code base that help Amazon EKS users take advantage of AWS services and features. CONFORMANT AND COMPATIBLE Amazon EKS runs upstream Kubernetes and is certified Kubernetes conformant, so applications managed by Amazon EKS are fully compatible with applications managed by any standard Kubernetes environment.
- #26: Use Cases MICROSERVICES Easily run microservices applications with deep integrations to AWS services, while getting access to the full suite of Kubernetes functionality and popular open source tooling. HYBRID CONTAINER DEPLOYMENTS Run highly available and scalable Kubernetes clusters on AWS while maintaining full compatibility with your Kubernetes deployments running anywhere else. BATCH PROCESSING The Kubernetes Jobs API lets you run sequential or parallel workloads on your Amazon EKS cluster. These workloads can be run on Amazon EC2 On-Demand Instances, Reserved Instances, or Spot Instances. APPLICATION MIGRATION Easily containerize and migrate existing applications to Amazon EKS without needing to refactor your code or tooling.
- #27: Benefits Fully managed Amazon Elastic Container Registry eliminates the need to operate and scale the infrastructure required to power your container registry. There is no software to install and manage or infrastructure to scale. Just push your container images to Amazon ECR and pull the images using any container management tool when you need to deploy. Secure Amazon Elastic Container Registry transfers your container images over HTTPS and automatically encrypts your images at rest. You can configure policies to manage permissions and control access to your images using AWS Identity and Access Management (IAM) users and roles without having to manage credentials directly on your EC2 instances. Highly available Amazon Elastic Container Registry has a highly scalable, redundant, and durable architecture. Your container images are highly available and accessible, allowing you to reliably deploy new containers for your applications. Simplified workflow Amazon Elastic Container Registry integrates with Amazon ECS and the Docker CLI, allowing you to simplify your development and production workflows. You can easily push your container images to Amazon ECR using the Docker CLI from your development machine, and Amazon ECS can pull them directly for production deployments.
- #28: Benefits Fully managed Amazon Elastic Container Registry eliminates the need to operate and scale the infrastructure required to power your container registry. There is no software to install and manage or infrastructure to scale. Just push your container images to Amazon ECR and pull the images using any container management tool when you need to deploy. Secure Amazon Elastic Container Registry transfers your container images over HTTPS and automatically encrypts your images at rest. You can configure policies to manage permissions and control access to your images using AWS Identity and Access Management (IAM) users and roles without having to manage credentials directly on your EC2 instances. Highly available Amazon Elastic Container Registry has a highly scalable, redundant, and durable architecture. Your container images are highly available and accessible, allowing you to reliably deploy new containers for your applications. Simplified workflow Amazon Elastic Container Registry integrates with Amazon ECS and the Docker CLI, allowing you to simplify your development and production workflows. You can easily push your container images to Amazon ECR using the Docker CLI from your development machine, and Amazon ECS can pull them directly for production deployments.
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