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Building cloud native apps


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Building Cloud-Native Apps using Microservices Architecture

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Building cloud native apps

  1. 1. Building Cloud-Native Apps Nish Anil – Sr. PM .NET Platform, Microsoft @nishanil Swaminathan Vetri – Technical Architect, Maersk @svswaminathan
  2. 2. Developers.. Developers.. Developers.. Visual Studio Code Visual Studio Visual Studio for Mac Tools for AzureXamarinTypeScript
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  4. 4. Free eBooks Coming Soon .. and more @
  5. 5. • .NET Platform • Cloud-Native philosophy • Microservices Architecture • Leveraging containers & orchestrators • Getting Started with Microservices • Key Patterns for Microservices • Communication • Resiliency – Designing for failure • Healthcheck
  7. 7. Just a few of our millions of .NET customers…
  8. 8. • Build and run scalable applications in modern, dynamic environments • Containers, service meshes, microservices, immutable infrastructure, and declarative APIs exemplify this approach. • Enables loosely coupled systems resilient, manageable, and observable • Enables engineers to make high-impact changes frequently and predictably with minimal toil. Company Experience Netflix Has 600+ services in production. Deploys a hundred times per day. Uber Has 1,000+ services stored in production. Deploys several thousand builds each week. WeChat Has 300+ services in production. Makes almost 1,000 changes per day. *CNCF definition Key: Speed, Agility, & Scalability
  9. 9. The 12-Factor Application – A methodology to adopt for cloud-native apps 1. Codebase 2. Dependencies 3. Configurations 4. Backing Services 5. Build, Release, Run 6. Processes 7. Port Binding 8. Concurrency 9. Disposability 10. Dev/Prod Parity 11. Logging 12. Admin Process
  10. 10. Leveraging containers for Microservices A container is a standard unit of software that packages up code and all its dependencies, so the application runs quickly and reliably from one computing environment to another.
  11. 11. Azure Container Registry (ACR) Use familiar, open- source Docker CLI tools Azure Container Registry geo-replication Manage images for all types of containers Manage a Docker private registry as a first-class Azure resource
  12. 12. Scheduling Affinity/anti- affinity Health monitoring Failover Scaling Networking Service discovery Coordinated app upgrades Azure Kubernetes Service (AKS) The elements of orchestration
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  14. 14. Key Patterns for Microservices 1. API Gateway vs. Direct communication - API Gateways implementation with Ocelot / Azure API Management 2. Resilient cloud applications - Retries with exponential backoff plus Circuit breaker policy 3. HealthCheck …
  15. 15. Direct communication vs the API Gateway pattern Direct communication to microservices (“NO API Gateway usage”) Using the API Gateway pattern
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  17. 17. Building resilient cloud applications
  18. 18. Retries with exponential backoff
  19. 19. Retries with exponential backoff
  20. 20. Service Mesh tools: • Envoy from Lyft Engineering • Linkerd from • Traefik from https For example, Service Fabric Mesh uses Envoy out-of-the-box and “transparently”: You can also use with Kubernetes but you need to implement/deploy it: These tools provide features such as: • Retry • Circuit-breaking • Latency and other metrics • Failure- and latency-aware load balancing • Distributed tracing • Protocol upgrade • Version-aware routing • Cluster failover, etc If using those, you don’t need an implementation of retries and circuit breaker as part of every microservice. Instead, you will be using one as a sidecar pattern or host proxy. Moving resilient patterns to the platform (Retries/Circuit-Breaker):
  21. 21. Other Considerations.. • Communication Patterns • Asynchronous messaging patterns • Event driven architecture • Data Management • CQRS • Deployment patterns • Cross Cutting Concerns • Externalized Configurations • Service Discovery ….
  22. 22. Questions Thank you