Edge Computing + Microservices
Deploy microservices at the edge for real-time responsiveness. Learn to manage distributed microservices across edge locations using lightweight Kubernetes (k3s, MicroK8s) and edge-optimized architectures.
2025 Architecture Patterns • Microservices • Cloud-Native Systems
Master distributed systems design with cutting-edge 2025 patterns including edge computing integration, AI-driven microservices, and advanced Kubernetes deployments. Build scalable, fault-tolerant systems that handle millions of users.
Deploy microservices at the edge for real-time responsiveness. Learn to manage distributed microservices across edge locations using lightweight Kubernetes (k3s, MicroK8s) and edge-optimized architectures.
Build intelligent microservices that leverage AI for automated management, predictive scaling, and self-healing capabilities. Master KServe for model serving and AI-powered orchestration.
Master next-generation service mesh technologies for security, observability, and traffic management. Learn Istio, Envoy, and emerging service mesh patterns for 2025.
Advanced strategies for managing and optimizing Kubernetes costs through automation, right-sizing, and intelligent resource allocation. Critical for 2025 enterprise deployments.
Design systems that span multiple cloud providers and edge locations. Learn federation, cross-cloud networking, and vendor lock-in prevention strategies.
Modern event streaming with Apache Kafka, event sourcing, CQRS, and choreography-based sagas. Essential patterns for decoupled, scalable systems.
Deep dive into distributed consensus with Raft and Paxos algorithms. Understand leader election, log replication, and fault tolerance in distributed systems. Includes practical implementation guides.
Master the fundamental trade-offs in distributed systems: Consistency, Availability, and Partition tolerance. Learn when to choose AP vs CP systems and real-world examples.
Learn distributed file systems, object storage, and distributed databases. Covers replication strategies, sharding, and consistency models across storage systems.
Design systems that gracefully handle failures. Learn circuit breakers, bulkheads, timeouts, retries, and graceful degradation patterns for robust distributed systems.
Handle transactions across distributed systems with Two-Phase Commit, Three-Phase Commit, and saga patterns. Understand when to use each approach.
Master load balancing algorithms, health checks, and traffic routing. Learn Layer 4 vs Layer 7 load balancing and modern proxy technologies.
Essential patterns for microservices: API Gateway, Service Registry, Circuit Breaker, Saga, CQRS, and Event Sourcing. Learn when and how to apply each pattern.
Master synchronous (REST, gRPC) and asynchronous (message queues, events) communication patterns. Learn service mesh and communication security.
Implement service discovery with Consul, Eureka, and Kubernetes service discovery. Handle dynamic service registration and health monitoring.
Handle data consistency, distributed transactions, and database per service patterns. Learn event-driven data synchronization and CQRS implementation.
Implement distributed tracing, metrics collection, and log aggregation. Master Prometheus, Grafana, Jaeger, and OpenTelemetry for microservices observability.
Secure microservices with OAuth 2.0, JWT tokens, mTLS, and zero-trust networking. Implement API gateways and service-to-service authentication.
Implement event sourcing for audit trails and temporal queries. Combine with CQRS for scalable read/write separation and complex business domains.
Manage long-running transactions across microservices with choreography and orchestration sagas. Handle compensation and failure scenarios.
Implement multi-level caching with Redis, Memcached, and CDNs. Learn cache coherence, invalidation strategies, and performance optimization.
Build real-time data processing pipelines with Apache Kafka, Apache Flink, and Apache Storm. Handle exactly-once processing and windowing operations.
Design API gateways for routing, authentication, rate limiting, and request transformation. Implement Backend for Frontend (BFF) patterns for different clients.
Implement distributed locks with Redis, Zookeeper, and etcd. Learn leader election and coordination patterns for distributed algorithms.
Design and implement a Twitter-like social media platform handling millions of users. Covers timeline generation, data sharding, caching, and real-time updates.
Build a distributed database with automatic sharding, replication, and consensus. Implement RAFT consensus and handle network partitions gracefully.
Create a Kafka-like message queue system with topics, partitions, and consumer groups. Handle exactly-once delivery and message ordering guarantees.
Build a Redis-like distributed cache with consistent hashing, replication, and automatic failover. Optimize for sub-millisecond latency at scale.
Develop a complete e-commerce system with user service, product catalog, inventory, payments, and order management. Use event-driven architecture.
Set up and configure Istio service mesh for a microservices application. Implement traffic management, security policies, and observability.