DEV Community

Cover image for What challenges would you face on migrating a service to EKS?
CodeWithVed
CodeWithVed

Posted on

What challenges would you face on migrating a service to EKS?

Listed down few challenges i faced when i migrated a service to Amazon EKS (Elastic Kubernetes Service)

Migration Scenario

Application Compatibility

One of the main challenges will be ensuring your existing applications are compatible with Kubernetes architecture. Some key considerations:

  • Stateful vs Stateless Applications: Kubernetes is primarily designed for stateless applications. You'll need to evaluate if your current stateful applications can be adapted or if you need to redesign them.
  • Containerization: Ensure your applications are properly containerized. This may involve refactoring some components to fit container-based architectures.
  • Networking: Review your application's networking requirements and ensure they can be properly configured in a Kubernetes environment.

Infrastructure Complexity

Migrating to Kubernetes introduces new layers of complexity in terms of infrastructure management

  • Cluster Management: You'll need to set up and maintain a Kubernetes cluster, which adds another layer of responsibility compared to traditional VMs.
  • Resource Allocation: Kubernetes uses a different model for resource allocation compared to traditional VMs, which may require adjustments in how resources are allocated and managed.
  • Scalability: While Kubernetes offers great scalability, it requires careful planning to ensure proper scaling of applications and services.

Security and Compliance

Ensuring security and compliance when moving to Kubernetes is crucial.

  • Network Policies: Implement proper network policies to control traffic between pods and namespaces.
  • Secret Management: Ensure sensitive information is properly secured using Kubernetes secrets or external secret management solutions.
  • Audit Logging: Set up comprehensive audit logging to track changes and access to cluster resources.

Data Persistence

Applications requiring persistent storage will face challenges:

  • Persistent Volumes: Configure persistent volumes to store data that needs to persist across pod restarts or rescheduling.
  • Backup and Recovery: Develop strategies for backing up and recovering data stored in Kubernetes.

Monitoring and Observability

Implement robust monitoring and observability tools to:

  • Track application performance metrics
  • Detect anomalies and issues quickly
  • Correlate logs and metrics for troubleshooting

Image of Timescale

🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

We built pgai Vectorizer to simplify embedding management for AI applications—without needing a separate database or complex infrastructure. Since launch, developers have created over 3,000 vectorizers on Timescale Cloud, with many more self-hosted.

Read more

Top comments (0)

Image of Docusign

🛠️ Bring your solution into Docusign. Reach over 1.6M customers.

Docusign is now extensible. Overcome challenges with disconnected products and inaccessible data by bringing your solutions into Docusign and publishing to 1.6M customers in the App Center.

Learn more