Reactive Microservices

7.

Deployment and Operations

7.1.

Containerization

7.1.1.

7.1.1.1.

Container Images

7.1.1.2.

Container Lifecycle Management

7.1.1.3.

Networking and Volumes

7.1.1.4.

Multi-Stage Builds

7.1.2.

Container Orchestration Basics

7.1.2.1.

Container Scheduling

7.1.2.2.

Resource Management

7.1.2.3.

Service Discovery

7.2.

7.2.1.

7.2.1.1.

Pods and Deployments

7.2.1.2.

Services and Ingress

7.2.1.3.

StatefulSets and DaemonSets

7.2.1.4.

Scaling and Self-Healing

7.2.1.5.

ConfigMaps and Secrets

7.2.1.6.

Persistent Volumes

7.2.2.

Service Mesh Integration

7.2.2.1.

7.2.2.2.

7.2.2.3.

7.3.

Continuous Integration and Continuous Deployment (CI/CD)

7.3.1.

Pipelines for Microservices

7.3.1.1.

Build Automation

7.3.1.2.

Test Automation

7.3.1.3.

Deployment Automation

7.3.1.4.

Pipeline Orchestration

7.3.2.

Blue-Green Deployment

7.3.2.1.

Traffic Switching

7.3.2.2.

Rollback Strategies

7.3.2.3.

Environment Management

7.3.3.

Canary Releases

7.3.3.1.

Incremental Rollout

7.3.3.2.

Monitoring and Rollback

7.3.3.3.

7.3.4.

7.3.4.1.

Git-Based Deployments

7.3.4.2.

Declarative Configuration

7.3.4.3.

Automated Synchronization

7.4.

Configuration Management

7.4.1.

Externalized Configuration

7.4.1.1.

Environment Variables

7.4.1.2.

Configuration Files

7.4.1.3.

Configuration Hierarchies

7.4.2.

Centralized Configuration Servers

7.4.2.1.

Configuration Service Discovery

7.4.2.2.

Dynamic Configuration Reloading

7.4.2.3.

Configuration Versioning

7.4.3.

Secret Management

7.4.3.1.

7.4.3.2.

Secret Rotation

7.4.3.3.

7.5.

Infrastructure as Code

7.5.1.

7.5.2.

7.5.3.

7.5.4.

Infrastructure Versioning

Previous

6. Observability and Monitoring

Go to top

Back to Start

1. Foundations of Reactive Systems