Microservices Course Online β Spring Boot, Spring Cloud, Kafka, Docker & Kubernetes
Live online + 1-on-1 microservices architecture training β Spring Cloud, API gateway, service discovery, Resilience4j, event-driven design, Docker, Kubernetes and observability.
Microservices architecture is what senior backend and architect interviews revolve around. This microservices course teaches you to design, build and operate distributed systems with Spring Boot and Spring Cloud β service discovery, API gateway, centralised configuration, synchronous and event-driven communication, resilience patterns β then containerise and orchestrate them with Docker and Kubernetes.
You will cover the design patterns interviews ask about β database per service, saga, CQRS, outbox, circuit breaker, strangler fig β fault tolerance with Resilience4j, messaging with Kafka, and observability with distributed tracing, centralised logging and metrics. That is the difference between "knows Spring Boot" and "can run microservices in production" that unlocks senior packages.
It is a 12-week live course (100+ hours) with five large projects, taught by architects who have run microservices at scale, with an optional 1-on-1 microservices training track, lifetime recordings and placement support. Batches run in IST for working professionals in India and abroad.
Need Spring Boot first? Start with the Spring Boot course. Going deeper on deployment? See the Docker and Kubernetes courses. Targeting architect roles? Pair it with system design, and read microservices design patterns.
Who this Microservices course is for
- βSpring Boot developers ready to move from a single application to distributed systems.
- βJava backend engineers with 1+ years of experience targeting senior or product-company roles.
- βEngineers whose company is breaking up a monolith and who need to lead or contribute to it.
- βTech leads and aspiring architects preparing for microservices and system design interviews.
- βWorking professionals who need evening, weekend or 1-on-1 schedules.
The Microservices learning path
6 live courses, sequenced from fundamentals to production
Microservices Architecture
Design Scalable Distributed Systems
Advanced Β· 12 weeks
Spring Boot
Build Production-Ready Applications Fast
Intermediate Β· 8 weeks
Docker & Containerization
Master Container Technology from Scratch
Beginner Β· 4 weeks
Kubernetes (K8s)
Orchestrate Containers at Scale
Intermediate Β· 6 weeks
High Level Design (HLD)
Architect Large-Scale Distributed Systems
Advanced Β· 8 weeks
DevOps Engineering
Master the Complete DevOps Toolchain
Beginner to Advanced Β· 12 weeks
Microservices course syllabus
Microservices Architecture Β· 12 weeks Β· 100+ hours live Β· 5 projects
Module 1: Microservices Fundamentals & Environment Setup
1.5 weeks- Microservices vs Monolith: When and why
- IDE setup: IntelliJ IDEA for multi-module projects
- Running multiple services locally
- Port management and service configuration
- Domain-Driven Design (DDD) principles
- Bounded contexts and aggregates
- Service decomposition strategies
- API-first design approach
- Using AI (ChatGPT) for architecture design
- Setting up shared libraries
- Database per service pattern
- Polyglot persistence
Module 2: Spring Cloud Core Components
2 weeks- Spring Cloud overview and versioning
- Service Discovery with Eureka
- Eureka Server and Client setup
- Self-preservation mode
- Config Server for centralized configuration
- Git-backed configuration
- Refreshing configs at runtime
- API Gateway with Spring Cloud Gateway
- Route configuration and predicates
- Filters: pre, post, and global
- Rate limiting in Gateway
- Load balancing with Spring Cloud LoadBalancer
- Client-side vs server-side load balancing
Module 3: Inter-Service Communication
2 weeks- Synchronous communication: REST and OpenFeign
- Declarative REST clients with @FeignClient
- Timeout and retry configuration
- gRPC for high-performance communication
- Protocol Buffers basics
- Asynchronous communication with Kafka
- Kafka producer and consumer setup
- Event-driven architecture patterns
- Event sourcing basics
- CQRS (Command Query Responsibility Segregation)
- Message schema evolution
- Dead letter queues and error handling
Module 4: Resilience & Fault Tolerance
1.5 weeks- Distributed system failure modes
- Resilience4j introduction
- Circuit Breaker pattern deep dive
- States: Closed, Open, Half-Open
- Configuring thresholds and timeouts
- Retry pattern with exponential backoff
- Rate Limiter pattern
- Bulkhead pattern for isolation
- Time Limiter for timeouts
- Fallback strategies
- Combining resilience patterns
- Saga pattern for distributed transactions
- Choreography vs Orchestration
Module 5: Containerization with Docker & Compose
1.5 weeks- Dockerfile optimization for Java
- Multi-stage builds for smaller images
- JVM tuning in containers
- Docker Compose for local development
- Service dependencies and health checks
- Networking between services
- Volume mounts for development
- Environment variables and secrets
- Docker Compose profiles
- Building images in CI/CD
- Container registries (DockerHub, ECR, GCR)
Module 6: Kubernetes Deployment
2 weeks- Kubernetes architecture recap
- Deployments for microservices
- Services: ClusterIP, NodePort, LoadBalancer
- ConfigMaps and Secrets
- Resource requests and limits
- Liveness and readiness probes
- Horizontal Pod Autoscaler (HPA)
- Ingress for external access
- Helm charts for packaging
- Values files for environments
- Helm hooks and dependencies
- GitOps with ArgoCD/Flux basics
- Blue-Green and Canary deployments
Module 7: Observability: Tracing, Logging & Metrics
1.5 weeks- Three pillars of observability
- Distributed tracing concepts
- OpenTelemetry integration
- Zipkin and Jaeger setup
- Trace context propagation
- Centralized logging with ELK Stack
- Structured logging with JSON
- Log correlation with trace IDs
- Metrics with Micrometer
- Prometheus scraping and PromQL
- Grafana dashboards
- Alerting and on-call strategies
- SLOs, SLIs, and SLAs
Microservices tools you'll use hands-on
- Spring Boot 3
- The building block for every service β REST APIs, data and security.
- Spring Cloud Gateway
- Single entry point with routing, rate limiting and authentication.
- Eureka / Kubernetes discovery
- Service registration and discovery as instances scale up and down.
- Spring Cloud Config
- Centralised, versioned configuration across environments.
- OpenFeign & WebClient
- Declarative and reactive service-to-service HTTP calls.
- Resilience4j
- Circuit breakers, retries, timeouts, bulkheads and rate limiters.
- Apache Kafka
- Event-driven communication, sagas and the outbox pattern.
- Docker & Compose
- Containerise every service and run the whole system locally.
- Kubernetes & Helm
- Deploy, scale and roll out services on a real cluster.
- OpenTelemetry, Zipkin & Grafana
- Distributed tracing, metrics and dashboards across services.
- ELK / Loki
- Centralised, correlated logging for debugging across services.
- Keycloak / OAuth2
- Securing services and the gateway with tokens.
Real Microservices projects you'll build
E-commerce microservices platform
Product, inventory, order, payment and notification services behind a gateway, with discovery and centralised config.
Event-driven order saga with Kafka
Choreographed and orchestrated sagas with the outbox pattern and compensating transactions.
Resilience under failure
Inject failures and latency, then contain them with circuit breakers, retries, timeouts and bulkheads.
Deploy to Kubernetes
Containerise all services, deploy with Helm, autoscale and run zero-downtime releases.
Observability across services
Trace one request through five services, correlate logs and build Grafana dashboards and alerts.
Microservices jobs & salary in India
| Role | Typical salary (India) | What you do |
|---|---|---|
| Microservices Developer | βΉ15β35 LPA | Build and run Spring Boot services in a distributed architecture. |
| Senior Backend Engineer | βΉ18β40 LPA | Own service design, data consistency and reliability at product companies. |
| Platform Engineer | βΉ25β55 LPA | Build the gateway, messaging, deployment and observability platform services run on. |
| Solutions / Cloud Architect | βΉ35β75 LPA | Design service boundaries, integration and cloud architecture. |
| Principal Engineer | βΉ50 LPA+ | Set technical direction across many teams and services. |
What you'll master in the Microservices track
Microservices training, city by city
Live online & 1-on-1 Β· available in 78+ cities
Microservices training worldwide
Live batches scheduled in your timezone Β· 16 countries
Microservices guides & interview prep
Microservices Design Patterns (2026): Gateway, Circuit Breaker, Saga, CQRS, Outbox & More
14 min read
Interview Prep35 Microservices Interview Questions (2026), With Real-World Answers
13 min read
ArchitectureSpring Boot Microservices Tutorial: Build a Production-Ready System (2026)
14 min read
ArchitectureMicroservices vs Monolith in 2026: When to Choose What (With Real Trade-offs)
10 min read
Architecture10 Microservices Best Practices Every Developer Should Know
12 min read
DevOpsDocker vs Kubernetes: What Is the Difference and Which Should You Learn First? (2026)
8 min read
DevOpsKubernetes vs Docker Swarm: Why Big Companies Choose K8s (And When Swarm Wins)
11 min read
Java EcosystemSpring Security JWT Tutorial (2026): Secure a Spring Boot 3 REST API
13 min read
System DesignTop 5 System Design Patterns for Senior Developer Interviews
14 min read
Microservices track, FAQs
What should I know before learning microservices?
Solid Spring Boot and REST API skills. Microservices build directly on Spring Boot, so if you are new to it, start with the Spring Boot course in this track, then move into Spring Cloud, Docker and Kubernetes.
Which tools does the microservices course cover?
Spring Boot and Spring Cloud (Gateway, Eureka discovery, Config Server, OpenFeign), Resilience4j for fault tolerance, Kafka for event-driven communication, Docker and Docker Compose, Kubernetes and Helm, Keycloak/OAuth2 for security, and OpenTelemetry, Zipkin, Grafana and centralised logging for observability.
How long is the microservices course?
About 12 weeks live (100+ hours) across seven modules with five projects. The 1-on-1 option can be paced around your job.
What are the microservices course fees?
The live batch fee is shown on the microservices course page and is currently discounted, with EMI options and bundle pricing with Spring Boot. WhatsApp or call +91 9180377502 for the latest fees and batch dates.
Which microservices design patterns are covered?
API gateway, service discovery, database per service, circuit breaker, retry and bulkhead, saga (choreography and orchestration), outbox, CQRS, event sourcing basics, strangler fig migration and sidecar β with when to use and when to avoid each.
Does the course cover Kafka and event-driven microservices?
Yes. You use Kafka for asynchronous communication between services, implement a saga with compensating transactions, and use the outbox pattern to keep data and events consistent.
Do you deploy the microservices to Kubernetes?
Yes. Every service is containerised with Docker, run locally with Compose, then deployed to a Kubernetes cluster with Helm, autoscaling and rolling updates.
Is this course only theory or hands-on?
Fully hands-on. You build a multi-service system live β with a gateway, service discovery, inter-service calls, messaging and resilience β then containerise, deploy and observe it, ending with a portfolio-ready distributed application.
When should a team not use microservices?
Small teams, early-stage products and simple domains are usually better served by a well-structured modular monolith. The course covers how to decide, and how to migrate gradually with the strangler fig pattern when the time comes.
Does this course help with system design interviews?
Yes. Microservices concepts β service boundaries, consistency, messaging, scaling and failure handling β are core system design topics. Pairing this course with the system design track covers both building and whiteboarding.
Do microservices skills increase my salary?
Significantly. Microservices and system-design ability are the main differentiators for senior and architect roles in India, which typically command βΉ18β40 LPA for senior engineers and βΉ35 LPA and above for architects.
Start the Microservices track β live online or 1-on-1
Book a free demo class today. Get a personalised Microservices career roadmap and choose a live batch or fully flexible 1-on-1 mentorship.