The state of containers for your DevOps journey
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The document outlines the benefits and technologies associated with containerization, including Docker, Kubernetes, and CI/CD pipelines, emphasizing their role in modernizing application deployment and development. It addresses the challenges faced by IT and business, highlighting the importance of containers and orchestrators for improving agility, efficiency, and integration. Additionally, it discusses Microsoft Azure's solutions for managing and scaling containers effectively within cloud environments.
The state of containers for your DevOps journey
- 2. Mathieu Benoit Cloud Solution Architect Microsoft Canada https://aka.ms/mabenoit
- 3. • Docker, improves packaging any apps, any languages • CaaS, runs quickly any Containers by abstracting the infra • Kubernetes, simplifies the orchestration of your Containers • Helm, unifies and automates your Kubernetes deployments • CI/CD pipeline, delivers your code to production • Cloud, accelerates your modernization journey • Open Source, is everywhere and is leading innovation Objectives
- 4. Introduction ContainersIntroduction Orchestrators Top scenarios Wrap-up & Resources
- 5. © Microsoft Corporation Business needs Widening divide between business and IT IT challenges Rapid innovation to transform products Close the gap from data to decision Connect with customers and empower employees 72% of IT budgets are dedicated towards maintenance (‘keeping the lights on’). Only half of all decision makers got help from technologists with their analysis needs Demand for mobile apps >5x the capacity of IT
- 6. What we hear from developers I need to create applications at a competitive rate without worrying about IT New applications run smoothly on my machine but malfunction on traditional IT servers My productivity and application innovation become suspended when I have to wait on IT
- 7. What we hear from IT I need to manage servers and maintain compliance with little disruption I’m unsure of how to integrate unfamiliar applications, and I require help from developers I’m unable to focus on both server protection and application compliance
- 8. The journey to the cloud SaaSCloud-Native Rehost Refactor Rearchitect Rebuild/New Replace Migration & Modernization On-premises Apps Data & Intelligence Infrastructure DevOps Deliver faster and more reliably
- 9. Cloud app continuum Agility – Time to Market – Total Cost of Ownership – IT Simplification EngineeringComplexityandCost Existing on- premises applications VMs Rehost Containers Refactor Microservices Rearchitect Serverless Rebuild New SaaS apps Replace App Modernization
- 10. Containers - Docker ContainersIntroduction Orchestrators Top scenarios Resources
- 11. What is a container? Virtualize the hardware VMs as units of scaling Virtual machines App Containers Virtualize the operating system Applications as units of scaling Container App
- 12. The container advantage Fast iteration Agile delivery Immutability Cost savings Elastic bursting Efficient deployment For ITFor developers
- 13. On-premises Cloud Anywhere Monolith Microservice Any app .Net Java Python Node Any language Linux Windows Any OS The benefits of using containers
- 15. Demo Get started with Docker
- 17. Increase agility with containers on demand Secure applications with hypervisor isolation Run containers without managing servers Azure Container Instances (ACI) Easily run containers on Azure without managing servers
- 18. ACI in action $ az container create -n mycontainer -i microsoft/aci-helloworld -g myResourceGroup --os-type Linux --ip-address public $ curl 52.168.86.133 Azure Container Instances (ACI)
- 19. Orchestrators - Kubernetes ContainersIntroduction Orchestrators Top scenarios Wrap-up & Resources
- 20. The elements of containers orchestration Scheduling Affinity/anti- affinity Health monitoring Failover Scaling Networking Service discovery Coordinated app upgrades
- 21. Kubernetes: the industry leading orchestrator Portable Public, private, hybrid, multi-cloud Extensible Modular, pluggable, hookable, composable Self-healing Auto-placement, auto-restart, auto-replication, auto-scaling
- 22. 1. Kubernetes users communicate with API server and apply desired state 2. Master nodes actively enforce desired state on worker nodes 3. Worker nodes support communication between containers Kubernetes 101 Kubernetes control API server replication, namespace, serviceaccounts, etc. -controller- manager -scheduler etcd Master node Worker node kubelet kube-proxy Docker Prod Prod Containers Containers Worker node kubelet kube-proxy Docker Prod Prod Containers Containers Internet 4. Worker nodes support communication from the Internet
- 23. From infrastructure to innovation Responsibilities DIY with Kubernetes Managed Kubernetes on Azure Containerization Application iteration, debugging CI/CD Cluster hosting Cluster upgrade Patching Scaling Monitoring and logging Customer Microsoft Managed Kubernetes empowers you to do more Focus on your containers and code, not the plumbing of them
- 24. API server Controller ManagerScheduler etcd Store Cloud Controller Self-managed master node(s) How managed Kubernetes on Azure works • Automated upgrades, patches • High reliability, availability • Easy, secure cluster scaling • Self-healing • API server monitoring • At no charge Customer VMs App/ workload definitionUser Docker Pods Docker Pods Docker Pods Docker Pods Docker Pods Schedule pods over private tunnel Kubernetes API endpoint Azure managed control plane
- 25. Deploy and manage Kubernetes with ease Task The old way With Azure Create a cluster Provision network and VMs Install dozens of system components including etcd Create and install certificates Register agent nodes with control plane az aks create Upgrade a cluster Upgrade your master nodes Cordon/drain and upgrade worker nodes individually az aks upgrade Scale a cluster Provision new VMs Install system components Register nodes with API server az aks scale Azure makes Kubernetes easy
- 26. Secure your Kubernetes environment Compliant Kubernetes service with certifications covering SOC, HIPAA, and PCI Control access through AAD and RBAC Safeguard keys and secrets with Key Vault Secure network communications with VNET and CNI
- 27. Scale and run with confidence Built-in auto scaling Global data center Geo-replicated container registry Elastically burst using ACI Browser Traffic manager Geo-replicated container registry AKS clusters Azure Container Instances Pod Pod Pod Pod Pod Pod
- 28. Demo Get started easily with AKS through the Azure portal and the Azure CLI
- 29. Open source culture ContainersIntroduction Orchestrator Top scenarios Wrap-up & Resources
- 30. Performance Low latency processing Machine learning Portability Build once, run anywhere IoT Agility Faster application development Microservices Top scenarios for Containers and Kubernetes Cost saving without refactoring your app Lift and shift to containers
- 31. Lift and shift to containers Microservices Machine learning IoT App modernization without code changes • Speed application deployments by using container technology • Defend against infrastructure failures with container orchestration • Increase agility with continuous integration and continuous delivery Azure Container Registry Existing application Kubernetes cluster Cloud Database Modernized application Modernized application Modernized application CI/CD
- 32. Demo Set up CI/CD in simple steps with Azure DevOps Projects Get started with Azure Container Registry (ACR) and Helm
- 33. Lift and shift to containers Microservices Machine learning IoT Microservices: for faster app development • Independent deployments • Improved scale and resource utilization per service • Smaller, focused teams Monolithic APP APP APP Microservices Large, all-inclusive app Small, independent services
- 34. Lift and shift to containers Microservices Machine learning IoT Data science in a box • Quick deployment and high availability • Low latency data processing • Consistent environment across test, control and production https://github.com/Azure/kubeflow-labs Compute Training data Algorithm GPU-enabled VMs AKS trained model AI model in production Developer <> Data Scientist Serve the model
- 35. Lift and shift to containers Microservices Machine learning IoT Scalable Internet of Things solutions • Portable code, runs anywhere • Elastic scalability and manageability • Quick deployment and high availability AKS Database for MySQL Azure Cosmos DB SQL Database IoT Hub IoT Edge devices IoT Edge Connector
- 36. Resources ContainersIntroduction Orchestrators Top scenarios Wrap-up & Resources
- 37. • Docker, improves packaging any apps in any languages • CaaS, runs quickly any Containers by abstracting the infra • Kubernetes, simplifies the orchestration of your Containers • Helm, unifies your Kubernetes deployments • CI/CD pipeline, delivers rapidly your code to production • Cloud, accelerates your modernization journey • Open Source, is everywhere and is leading innovation Objectives
- 38. The generic Containers Workflow
- 39. Development DevOps Monitoring Networking Storage Security Take advantage of services and tools in the Kubernetes ecosystem …or… Leverage growing Azure support RBAC VS Code Azure DevOps ARM Azure Monitor Azure VNET Azure Storage Azure Container Registry AAD Key Vault AKS: Work how you want with opensource tools
- 40. Mix and match to create workflows with tools from Microsoft, open source or your favorite 3rd party tools Azure DevOps: Choose the tools and clouds you love Azure DevOps lets developers choose the tools that are right for them Target any cloud, on-prem or both and deploy to the servers you need
- 41. SmartHotel 360
- 43. • Azure Kubernetes Service (AKS) • Documentation resources • Ebook for distributed systems • Distributed system HoL • AKS HoL Sign up for a free Azure account Check out the Azure container videos page Get the code from GitHub AKS resources
- 45. Code Session title BRK2196 Architect your app modernization journey with containers on Microsoft Azure BRK2030 Azure Service Fabric Overview and the Road Ahead BRK2045 Fundamentals of Windows containers and Windows container-based web apps on Azure App Service BRK2396 Fundamentals of Kubernetes on Microsoft Azure BRK3344 Keep your PaaS and serverless apps healthy and happy BRK2381 Azure Service Fabric Mesh: The Serverless Microservices Platform BRK3208 Operational best practices for Azure Kubernetes Service BRK3194 Deploying containerized and serverless apps using Terraform with Kubernetes (AKS) and Azure Functions BRK2236 Take the next step with Windows Server container orchestration BRK3190 Building resilient microservices with .NET Core and Azure Kubernetes Service (AKS) BRK 3345 Best practices for Azure Service Fabric applications and clusters BRK2392 Master tooling for containers BRK2390 Bring your container or code to easily deploy to App Service on Linux Containers at Microsoft Ignite 2018