Deployment & Production Infrastructure

Lesson 17: Production-Ready Temporal Systems

Master the deployment and infrastructure patterns required to run Temporal workflows in production environments. Learn containerization, orchestration, configuration management, and scaling strategies for robust, production-ready Temporal applications.

Objective

By the end of this lesson, you will understand:

✅ Containerization patterns with Docker multi-stage builds
✅ Container orchestration with Docker Compose and Kubernetes
✅ Production configuration management and security
✅ Scaling strategies for high-availability systems
✅ Monitoring and observability for production workflows
✅ Deployment pipelines and operational best practices

1. Containerization Fundamentals

Docker Multi-Stage Builds

Multi-stage builds optimize container images by separating build and runtime environments:

# Build stage - includes full development environment
FROM gradle:7.6-jdk17 AS build
WORKDIR /app
COPY build.gradle.kts settings.gradle.kts ./
RUN gradle dependencies --no-daemon
COPY src src/
RUN gradle build -x test --no-daemon

# Runtime stage - minimal production environment
FROM openjdk:17-jre-slim AS runtime
COPY --from=build /app/build/libs/*.jar app.jar
ENTRYPOINT ["java", "-jar", "app.jar"]

Multi-Stage Build Benefits

Production Advantages:

✅ Smaller final image size (only runtime dependencies)
✅ Better security (no build tools in production)
✅ Faster deployment and startup times
✅ Better layer caching for faster rebuilds

Security Best Practices:

# Use non-root user
RUN groupadd -r temporal && useradd -r -g temporal temporal
USER temporal

# Use specific image tags
FROM openjdk:17-jre-slim

# Install only necessary packages
RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*

# Set secure file permissions
RUN chown -R temporal:temporal /app

2. Container Orchestration Patterns

Docker Compose for Local Development

Docker Compose simplifies multi-container applications:

version: '3.8'
services:
  temporal:
    image: temporalio/auto-setup:1.22.0
    depends_on:
      postgresql:
        condition: service_healthy

  postgresql:
    image: postgres:13
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U temporal"]
      interval: 10s
      timeout: 5s
      retries: 5

Key features: Service dependencies, health checks, volume persistence, network isolation

Kubernetes for Production

Production-Grade Orchestration:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: temporal-worker
spec:
  replicas: 3
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxUnavailable: 1
      maxSurge: 1

Kubernetes Advantages:

✅ Horizontal Scaling: Automatically scale based on metrics
✅ Rolling Updates: Zero-downtime deployments
✅ Self-Healing: Automatic restart of failed containers
✅ Load Balancing: Built-in service discovery and load balancing

Production Deployment Patterns

Environment Configuration:

Environment	Configuration	Purpose
Development	Docker Compose	Local development and testing
Staging	Kubernetes	Production-like validation
Production	Kubernetes + Helm	Scalable production deployment

Scaling Strategy:

Horizontal Pod Autoscaler for dynamic scaling
Resource requests and limits for predictable performance
Multiple availability zones for high availability

💡 Key Deployment Concepts

What You've Learned:

✅ Multi-stage Docker builds optimize production images
✅ Container orchestration manages complex deployments
✅ Security best practices protect production systems
✅ Kubernetes patterns enable scalable production deployments
✅ Environment-specific configurations support the full SDLC

🎉 Congratulations!

You've completed the Temporal Workflow Bootcamp!

Concept