Microservices & Event-Driven Architecture (EDA) Mastery

Helm Charts: Managing complex deployments

1 Views Updated 5/4/2026

Helm: The K8s Package Manager

Deployment YAML files are repetitive and hard to manage across environments. Helm allows you to template your K8s manifests, making them reusable and dynamic.

1. Templates and Values

Instead of hard-coding 'replicaCount: 3', you use `{{ .Values.replicaCount }}`. You then have a `values-dev.yaml` (which sets it to 1) and a `values-prod.yaml` (which sets it to 10). This ensures your deployment logic is identical across all stages, reducing "It works on my machine" bugs.

2. Helm Releases

Helm treats each deployment as a 'Release'. If a deployment goes wrong, you can run `helm rollback` to instantly revert to the previous working state. This is a critical safety feature for high-velocity teams.

4. Interview Mastery

Q: "What are the drawbacks of using Helm?"

Architect Answer: "Complexity and 'Template Hell'. If you over-template your YAML, it becomes unreadable. I recommend keeping Helm charts simple and using **Kustomize** for environment-specific tweaks if the logic becomes too convoluted. Helm is best for 'Packaging' your app, while Kustomize is best for 'Configuring' it."

Microservices & Event-Driven Architecture (EDA) Mastery
1. Foundations of Microservices
The Monolith to Microservices transition: When and why? Domain Driven Design (DDD): Bounded Contexts and Aggregates Database Per Service: Managing data consistency Service Discovery and Health Checks in .NET
2. Communication Patterns
Synchronous Communication: HTTP/gRPC and Service Mesh Asynchronous Communication: Message Brokers (RabbitMQ/Kafka) API Gateways: YARP (Yet Another Reverse Proxy) vs Ocelot Protobuf and Shared Contracts: Managing breaking changes
3. Event-Driven Architecture (EDA)
Introduction to EDA: Producers, Consumers, and Topics The Publisher/Subscriber Pattern in .NET Event Sourcing: Capturing every state change CQRS (Command Query Responsibility Segregation) with MediatR
4. Distributed Transactions & Resiliency
The Saga Pattern: Orchestration vs Choreography The Outbox Pattern: Ensuring reliable message delivery Idempotency: Preventing duplicate message processing Distributed Locking with Redis (Redlock)
5. Observability & Monitoring
Distributed Tracing with OpenTelemetry Centralized Logging: ELK Stack (Elasticsearch, Logstash, Kibana) Metrics and Dashboards: Prometheus and Grafana Correlation IDs: Tracking requests across services
6. Security & Identity
Centralized Authentication: IdentityServer4 & Duende Identity OAuth2 and OIDC Flow for Microservices API Key Management and Rate Limiting Mutual TLS (mTLS) for Internal Service-to-Service Security
7. Infrastructure & Deployment
Containerization: Production-grade Dockerfiles Kubernetes for .NET: Pods, Services, and Ingress Helm Charts: Managing complex deployments Blue-Green and Canary Deployments in K8s
8. FAANG Microservices Case Studies
Case Study: Designing a Global Notification Engine (Reliability at Scale) Case Study: Building a High-Performance Logging Pipeline (PB/Day)