khaydarov / otus-microservices Goto Github PK

Pros and cons of microservice architecture

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

Docker basics

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

Infrastructural patterns

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

Kubernetes basics (part 1)

• Pods, ReplicaSets, Deployments

Kubernetes basics (part 2). Homework #1

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

Kubernetes basics (part 3). Homework #2

• Templating with Helm
• Jobs, Secrets

Kubernetes. QA

Monitoring and alerting

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

Prometheus, Grafana. Homework #3

• Prometheus
• Grafana
• AlertManager
• PromQL

Service mesh on the example of Istio Homework #4

• Service Mesh architecture

Authorization and authentication in microservice architecture

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

Backend for frontends. API Gateway. Homework #5

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

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

Event Driven Architecture

• Designing event driven patterns
• Using event driven patterns

Distributed message brokers on the example of Kafka

• Kafka

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

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

GraphQL, gRPC

RESTful

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

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

Testing in microservices (part 1)

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

Testing in microservices (part 2)

• Chaos engineering
• Stress testing

DDD and modular monoliths (part 1)

• Coupling
• Cohesion
• Common principles

DDD and modular monoliths (part 2)

• Decomposition rules
• Aggregates
• Strategic Classification

Microservices decomposition. Homework #8

• Decomposition patterns
• Context Canvas

From monolith to microservices

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

Distributed systems overview

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

Distributed transactions. Homework #9

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

Caching patterns

• LRU, MRU, PLRU, LFU
• LoadBalancing

Sharding

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

CP systems

• Consistency algorithms: Paxos, Raft, Zab

AP systems

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

The role of the architect

• Evolutionary Architecture and Emergent Design

Architecture cost. Artifacts of architecture