Docker & Deployment

Docker & Deployment

Overview

Learn Docker containerization and multi-node Docker Swarm deployment for the Sravz platform. This section covers setting up production-grade container orchestration across multiple Ubuntu servers for high availability and scalability.

What You’ll Learn

  • Docker Swarm: Multi-node cluster orchestration
  • Container Deployment: Production deployment strategies
  • Service Scaling: Horizontal scaling across nodes
  • Load Balancing: Swarm’s built-in load balancing
  • High Availability: Fault-tolerant service deployment
  • Infrastructure as Code: Automated node setup and configuration

Key Technologies

  • Docker Swarm: Native Docker orchestration
  • Docker Compose: Service definition and configuration
  • Ubuntu Servers: Production deployment on cloud VMs
  • Traefik: Reverse proxy and load balancer
  • Overlay Networks: Multi-host container networking

Documentation Index

  1. Multi-Node Docker Swarm Setup - Create Docker Swarm cluster on multiple Ubuntu nodes for production deployment

Deployment Architecture

                    Load Balancer (Traefik)
                            |
        ┌──────────────────┼──────────────────┐
        |                  |                  |
   Manager Node      Worker Node 1      Worker Node 2
   (Leader)          (Replica)          (Replica)
        |                  |                  |
   ┌────┴────┐        ┌────┴────┐        ┌────┴────┐
   Services    Services    Services

Use Cases

Production Deployment

  • Deploy all Sravz backend services (C++, Go, Node.js, Rust, Python)
  • Frontend Angular application
  • Databases (MongoDB, Redis)
  • Message queues (NSQ, Kafka)

High Availability

  • Service replication across multiple nodes
  • Automatic failover on node failure
  • Rolling updates with zero downtime
  • Health checks and auto-restart

Scalability

  • Horizontal scaling by adding worker nodes
  • Service scaling based on load
  • Resource allocation and limits
  • Network segmentation

Swarm Features

Orchestration

  • Service Discovery: Automatic DNS-based service discovery
  • Load Balancing: Round-robin across service replicas
  • Secrets Management: Secure credential storage
  • Config Management: Centralized configuration

Deployment

  • Rolling Updates: Gradual service updates
  • Rollback: Quick rollback on failures
  • Health Checks: Container health monitoring
  • Constraints: Node placement strategies

Infrastructure

Node Types

  • Manager Nodes: Cluster management and orchestration
  • Worker Nodes: Run container workloads
  • Hybrid Nodes: Can run both roles

Networking

  • Overlay Networks: Encrypted multi-host networking
  • Ingress Network: External access to services
  • Service Mesh: Internal service communication

Quick Start

Follow the Multi-Node Docker Swarm Setup guide to:

  1. Provision Ubuntu servers
  2. Initialize Docker Swarm
  3. Join worker nodes
  4. Deploy Sravz services
  5. Configure load balancing

Production Best Practices

  • Use at least 3 manager nodes for quorum
  • Separate manager and worker roles in production
  • Enable TLS for swarm communication
  • Use secrets for sensitive data
  • Implement health checks for all services
  • Set resource limits to prevent resource exhaustion
  • Use persistent volumes for stateful services

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