Migration from Docker to Kubernetes
Preferred learners
- Anywhere
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
he primary goal is to leverage their expertise to navigate the intricacies of migrating and managing services, maintaining data integrity, and optimizing the architecture for performance and scalability in a Kubernetes environment. Additionally,they would be responsible for ensuring minimal downtime during migration, safeguarding against data loss, and providing thorough documentation of the new setup.
- What tasks will learners need to complete to achieve the project goal?
-
1. Preparation:
- Audit: Thoroughly document the current Docker setup, configurations, and network topology.
- Service Analysis: Identify inter-service dependencies, especially for stateful services.
- Team Alignment: Ensure the team is aligned with Kubernetes concepts and practices through training if necessary.
2. Kubernetes Cluster Design:
- Architecture: Design a robust Kubernetes architecture considering multi-server and multi-cluster scenarios.
- High Availability: Ensure the architecture supports high availability across multiple physical servers.
- Network Design: Plan the network design to ensure secure communication between services and external access when needed.
3. Initial Setup:
- Cluster Setup: Establish a Kubernetes cluster on one server as a starting point.
- Testing Environment: Optionally, set up a separate Kubernetes cluster for testing and validation.
- CI/CD Pipeline: Begin adapting CI/CD pipelines for Kubernetes deployment using GitLab CI/CD.
4. Migrate Stateless Services:
- Manifest Creation: Convert Docker Compose files to Kubernetes manifests and adjust configurations.
- Deployment: Deploy and test stateless services in the Kubernetes cluster.
- Monitoring: Implement monitoring and logging solutions like Prometheus and Grafana.
5. Migrate Stateful Services:
- Persistent Storage: Define persistent volume claims and storage classes for stateful services.
- StatefulSets: Utilize Kubernetes StatefulSets for deploying stateful services.
- Database Connectivity: Ensure stable and secure connectivity to the MySQL Router.
6. Scaling and Optimization:
- Horizontal Scaling: Adjust replica counts and resource allocations based on load testing.
- Optimization: Optimize deployments based on performance monitoring and feedback.
7. Multi-Server Deployment:
- Multi-Cluster Management: Utilize multi-cluster management tools like Rancher or Anthos.
- Synchronization: Ensure configurations and deployments are synchronized across all clusters.
- Load Balancing: Implement load balancing across multiple clusters if needed.
8. Validation and Rollout:
- Testing: Validate the setup by conducting extensive testing, including failover and disaster recovery.
- Gradual Rollout: Consider a gradual rollout to the production environment, monitoring for any issues.
- Documentation: Update documentation to reflect the new setup and configurations.
9. Continuous Improvement:
- Feedback Loop: Establish a feedback loop for continuous improvement in the deployment process.
- Updates and Upgrades: Plan for periodic updates and upgrades of the Kubernetes cluster.
10. Knowledge Sharing:
- Documentation: Ensure comprehensive documentation of the architecture, deployments, and recovery processes.
- Team Knowledge: Ensure that the team is well-versed with the new setup and operational procedures.
https://konveyor.github.io/move2kube/tutorials/migratedockercomposekube/
- What is the main goal for this project?
-
he primary goal is to leverage their expertise to navigate the intricacies of migrating and managing services, maintaining data integrity, and optimizing the architecture for performance and scalability in a Kubernetes environment. Additionally,they would be responsible for ensuring minimal downtime during migration, safeguarding against data loss, and providing thorough documentation of the new setup.
- What tasks will learners need to complete to achieve the project goal?
-
1. Preparation:
- Audit: Thoroughly document the current Docker setup, configurations, and network topology.
- Service Analysis: Identify inter-service dependencies, especially for stateful services.
- Team Alignment: Ensure the team is aligned with Kubernetes concepts and practices through training if necessary.
2. Kubernetes Cluster Design:
- Architecture: Design a robust Kubernetes architecture considering multi-server and multi-cluster scenarios.
- High Availability: Ensure the architecture supports high availability across multiple physical servers.
- Network Design: Plan the network design to ensure secure communication between services and external access when needed.
3. Initial Setup:
- Cluster Setup: Establish a Kubernetes cluster on one server as a starting point.
- Testing Environment: Optionally, set up a separate Kubernetes cluster for testing and validation.
- CI/CD Pipeline: Begin adapting CI/CD pipelines for Kubernetes deployment using GitLab CI/CD.
4. Migrate Stateless Services:
- Manifest Creation: Convert Docker Compose files to Kubernetes manifests and adjust configurations.
- Deployment: Deploy and test stateless services in the Kubernetes cluster.
- Monitoring: Implement monitoring and logging solutions like Prometheus and Grafana.
5. Migrate Stateful Services:
- Persistent Storage: Define persistent volume claims and storage classes for stateful services.
- StatefulSets: Utilize Kubernetes StatefulSets for deploying stateful services.
- Database Connectivity: Ensure stable and secure connectivity to the MySQL Router.
6. Scaling and Optimization:
- Horizontal Scaling: Adjust replica counts and resource allocations based on load testing.
- Optimization: Optimize deployments based on performance monitoring and feedback.
7. Multi-Server Deployment:
- Multi-Cluster Management: Utilize multi-cluster management tools like Rancher or Anthos.
- Synchronization: Ensure configurations and deployments are synchronized across all clusters.
- Load Balancing: Implement load balancing across multiple clusters if needed.
8. Validation and Rollout:
- Testing: Validate the setup by conducting extensive testing, including failover and disaster recovery.
- Gradual Rollout: Consider a gradual rollout to the production environment, monitoring for any issues.
- Documentation: Update documentation to reflect the new setup and configurations.
9. Continuous Improvement:
- Feedback Loop: Establish a feedback loop for continuous improvement in the deployment process.
- Updates and Upgrades: Plan for periodic updates and upgrades of the Kubernetes cluster.
10. Knowledge Sharing:
- Documentation: Ensure comprehensive documentation of the architecture, deployments, and recovery processes.
- Team Knowledge: Ensure that the team is well-versed with the new setup and operational procedures.
https://konveyor.github.io/move2kube/tutorials/migratedockercomposekube/
- How will you support learners in completing the project?
-
We will assign them an expert in the required fields and meet with them on a regular basis to evaluate progress and help troublkeshoot
About the company
- https://www.auxiliumgroup.com
- 2 - 10 employees
- Technology
We provide a is a versatile, low-code platform designed to enable users to develop custom business applications without extensive coding knowledge. It provides robust tools for creating tailored applications, managing complex databases, automating workflows, and ensuring data integrity and security. With its user-friendly interface, Our Product allows users to streamline operations, improve collaboration, and make data-driven decisions by rapidly building applications that fit specific business needs and integrating seamlessly with existing systems.
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