The DevOps 2 1 Toolkit Docker Swarm Building testing deploying and monitoring services inside Docker Swarm clusters 1st Edition by Viktor Farcic ISBN 1787280608 9781787280601

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Product details:

ISBN 10:      1787280608
ISBN 13: 978-1787280601
Author:      Viktor Farcic

The DevOps 2 1 Toolkit Docker Swarm Building testing deploying and monitoring services inside Docker Swarm clusters 1st Table of contents:

1. Continuous Integration with Docker Containers

• Defining a Fully Dockerized CI Flow:
  • Running unit tests, building service binaries, and creating Docker images.
  • Setting up a process to build and test containers locally before pushing them.
  • Running staging tests, pushing images to a registry (e.g., Docker Hub, private registries).

2. Docker Swarm Cluster Setup and Operation

• Scaling:

  • Axis Scaling: Understanding different scaling strategies, such as vertical (Y-axis), horizontal (X-axis), and 3D scaling (Z-axis).
  • Clustering: How Docker Swarm mode helps in clustering containers across multiple nodes for high availability and fault tolerance.
  • Deployment and Failover: Techniques for setting up failover mechanisms to ensure no downtime during failures.

• Swarm Networking & Reverse Proxy:

  • Setting up Docker Swarm with secure, fault-tolerant services.
  • Deploying a reverse proxy to route traffic and load balance requests across services.
  • Configuring load balancing and service discovery in Docker Swarm.

3. Service Discovery in Docker Swarm

• What is Service Discovery in Docker?
  • Understanding how Docker Swarm provides built-in service discovery.
  • Using Consul as a service registry to store and retrieve the state of services.
  • Issues like stateful instances and scaling stateful services.

4. Continuous Delivery and Deployment with Docker Containers

• Continuous Delivery (CD):

  • Creating services and managing the deployment pipeline.
  • Using node labels to constrain services to specific nodes.
  • Transitioning from Continuous Delivery to Continuous Deployment.

• Automating Deployment with Jenkins:

  • Detailed Jenkins pipeline setup for automating deployments with Docker.
  • Creating Jenkins jobs, pipelines, and managing agents for scalable deployment.

5. Docker Remote API

• Setting Up the Docker Remote API:
  • Automating Docker Swarm operations like scaling and proxy configuration through the Docker Remote API.
  • Managing services via APIs for automation and CI/CD pipelines.

6. Using Docker Stack and Compose YAML Files

• Docker Stack:
  • Creating and deploying Swarm services using docker stack commands.
  • Understanding when to use Docker Compose versus Docker Stack for orchestration.

7. Centralized Logging Strategy

• Setting up Centralized Logging:
  • Using ElasticSearch, Logstash, and Kibana (ELK stack) for centralized logging.
  • Forwarding logs from Docker containers in a Swarm cluster.
  • Exploring alternatives for logging solutions.

8. Cluster Monitoring and Metrics

• Monitoring with Prometheus and Grafana:
  • Setting up Prometheus for system metrics collection.
  • Creating Grafana dashboards to visualize Docker Swarm performance metrics.
  • Best practices for cluster monitoring and service optimization.

9. Managing Docker Swarm Clusters in AWS and DigitalOcean

• AWS:

  • Setting up a Swarm cluster in AWS using Docker Machine, Docker for AWS, Packer, and Terraform.
  • Discussing the pros and cons of various tools for AWS Swarm cluster setup.

• DigitalOcean:

  • Setting up a Swarm cluster in DigitalOcean.
  • Using tools like Docker Machine, Packer, and Terraform for managing clusters.

10. Stateful Services in Docker Swarm

• Stateful Service Management:
  • Implementing 12-factor app methodology for running stateful services.
  • Persisting stateful data using volumes and network file systems (e.g., REX-Ray).
  • Managing state replication for database services like MongoDB and ensuring consistency with Docker Swarm.

11. Managing Secrets in Docker Swarm

• Secrets Management:
  • Creating and consuming secrets in Docker Swarm using Docker secrets.
  • Real-world use cases for securely managing credentials and configuration data inside containers.

12. Monitoring GitHub Repos with Docker and Prometheus

• GitHub Integration:
  • Setting up Prometheus to monitor GitHub repository activity and integrate with Docker services for better visibility of deployment workflows.
  • Using Grafana to visualize GitHub metrics and Docker container stats.

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