Course plan

1. Pros and cons of microservice architecture

   • Architecture and architect
   • Monoliths and microservices
   • Patterns of microservice architecture

2. Docker basics

   • Containerization. Overview
   • Docker components: engine, cli, registry
   • Building from Dockerfile
   • Practice: build, run, up, down, pull, push

3. Infrastructural patterns

   • CI/CD methodology
   • VM vs Containers
   • Deployment patterns
   • Service discovery
   • Health check

4. Kubernetes basics (part 1)

   • Pods, ReplicaSets, Deployments

5. Kubernetes basics (part 2). Homework #1

   • ConfigMaps, Persistence Volumes, Persistence Volume Claims
   • Helm, Helm-dep, Ingress

6. Kubernetes basics (part 3). Homework #2

   • Templating with Helm
   • Jobs, Secrets

7. Kubernetes. QA

8. Monitoring and alerting

   • USE, RED и Four Golden Signals
   • SLI, SLO, SLA
   • Metric collection patterns

9. Prometheus, Grafana. Homework #3

   • Prometheus
   • Grafana
   • AlertManager
   • PromQL

10. Service mesh on the example of Istio Homework #4

    • Service Mesh architecture

11. Authorization and authentication in microservice architecture

    • Auth patterns in monoliths
    • Identity Provider и OIDC
    • Token-Based authentication, JWT
    • Auth-Proxy

12. Backend for frontends. API Gateway. Homework #5

    • API Gateway
    • Backend for Frontends
    • Auth patterns in API Gateway
    • Circuit Breaker, Retry

13. Asynchronous and synchronous API

    • Message Bus, Enterprise Service Bus
    • CQRS, Event Sourcing
    • Orchestration and choreography
    • API versioning
    • IDL, API design first
    • Anemic API vs Rich API

14. Event Driven Architecture

    • Designing event driven patterns
    • Using event driven patterns

15. Distributed message brokers on the example of Kafka

    • Kafka

16. Consistent data maintenance patterns (Stream processing). Homework #6

    • Transactional Log
    • Stream processing
    • Event Sourcing
    • Change Data Capture

17. GraphQL, gRPC

18. RESTful

    • Maturity levels;
    • HATEOS
    • Anemic API and Rich API
    • Restful Patterns
    • JsonSchema, OpenAPI
    • GraphQL

19. Idempotency and commutativity API in HTTP and message brokers. Homework #7

    • Idempotency and commutativity
    • Idempotent receiver
    • Idempotent consumer
    • Polling publisher
    • Compare-and-Set
    • Transaction Log Miner

20. Testing in microservices (part 1)

    • Architecture Significant Requirements
    • Availability, Interoperability, Modifiability
    • Architecture Frameworks
    • Quality Attributes Assessment

21. Testing in microservices (part 2)

    • Chaos engineering
    • Stress testing

22. DDD and modular monoliths (part 1)

    • Coupling
    • Cohesion
    • Common principles

23. DDD and modular monoliths (part 2)

    • Decomposition rules
    • Aggregates
    • Strategic Classification

24. Microservices decomposition. Homework #8

    • Decomposition patterns
    • Context Canvas

25. From monolith to microservices

    • Distributed Tracing
    • Opentracing/OpenTelemetry
    • Tracers: Zipkin, Jaeger; APM: NewRelic, DataDog
    • Strangler pattern

26. Distributed systems overview

    • CAP & PACELC theorems
    • BASE & ACID
    • Actor Model

27. Distributed transactions. Homework #9

    • Consistency patterns
    • Two-phase commit, Saga pattern
    • Transactional messaging
    • Deadlock

28. Caching patterns

    • LRU, MRU, PLRU, LFU
    • LoadBalancing

29. Sharding

    • Vertical, Horizontal partitioning
    • Vertical, Horizontal sharding
    • Consistent hashing

30. CP systems

    • Consistency algorithms: Paxos, Raft, Zab

31. AP systems

    • Gossip: Scuttlebut
    • Replication without master (dynamoDB like databases)

32. The role of the architect

    • Evolutionary Architecture and Emergent Design

33. Architecture cost. Artifacts of architecture