Docker in Production Training
Operate Docker workloads reliably at scale with this comprehensive 3-day course. Learn production deployment strategies, orchestration with Docker Swarm, centralized logging and monitoring, high availability patterns, and operational procedures for real-world container environments.
Training Details
Section titled “Training Details”| Duration | 3 days (24 hours) |
| Level | Advanced |
| Delivery | In-person, Live online, Hybrid |
| Certification | N/A |
Who Is This For?
Section titled “Who Is This For?”- Operations engineers running containers in production
- SREs responsible for container platform reliability
- DevOps leads designing container deployment strategies
- Teams moving containerized workloads to production
Learning Outcomes
Section titled “Learning Outcomes”After completing this training, you’ll be able to:
- Design and deploy Docker Swarm clusters for high availability
- Implement centralized logging and monitoring for containers
- Configure automated health checks and self-healing
- Manage rolling updates and zero-downtime deployments
- Troubleshoot production container issues effectively
- Plan disaster recovery for containerized workloads
Detailed Agenda
Section titled “Detailed Agenda”Day 1: Docker Swarm Orchestration
Section titled “Day 1: Docker Swarm Orchestration”Module 1: Docker Swarm Architecture
- Swarm manager and worker nodes
- Raft consensus and leader election
- Service model and desired state reconciliation
- Hands-on: Initialize a multi-node Swarm cluster
Module 2: Service Deployment
- Service creation, scaling, and constraints
- Rolling updates and rollback policies
- Placement preferences and node labels
- Hands-on: Deploy and update services with zero downtime
Module 3: Swarm Networking
- Overlay networks and routing mesh
- Ingress load balancing
- External load balancers and reverse proxies
- Hands-on: Configure production networking with Traefik
Day 2: Observability and Operations
Section titled “Day 2: Observability and Operations”Module 4: Centralized Logging
- Docker logging drivers
- Log aggregation with Loki or ELK stack
- Structured logging and log rotation
- Hands-on: Deploy centralized logging for a Swarm cluster
Module 5: Monitoring and Alerting
- Container metrics with cAdvisor and Prometheus
- Grafana dashboards for container workloads
- Alerting on resource usage and health
- Hands-on: Build a complete monitoring stack
Module 6: Storage in Production
- Volume drivers for distributed storage
- NFS, Ceph, and cloud storage backends
- Backup strategies for stateful containers
- Hands-on: Configure shared storage for a Swarm cluster
Day 3: Reliability and Disaster Recovery
Section titled “Day 3: Reliability and Disaster Recovery”Module 7: High Availability Patterns
- Multi-manager Swarm topologies
- Service redundancy and anti-affinity
- Health checks and self-healing
- Hands-on: Test failure scenarios and verify recovery
Module 8: CI/CD for Production
- Image promotion workflows
- Blue-green and canary deployments
- Automated rollback triggers
- Hands-on: Build a production deployment pipeline
Module 9: Troubleshooting and DR
- Debugging container issues in production
- Swarm cluster recovery procedures
- Backup and restore for Swarm state
- Hands-on: Simulate and recover from cluster failures
Prerequisites
Section titled “Prerequisites”- Docker Fundamentals and Compose experience
- Basic Linux system administration
- Networking knowledge (TCP/IP, DNS, load balancing)
Delivery Formats
Section titled “Delivery Formats”| Format | Description |
|---|---|
| In-Person | On-site at your company’s location, hands-on with direct interaction |
| Live Online | Interactive virtual sessions with screen sharing and real-time labs |
| Hybrid | Combination of on-site and remote sessions, flexible scheduling |
All formats include hands-on labs, course materials, and post-training support.