Docker implementation
Client Overview
Our client is a leading Dutch media and streaming content production company, fully specialized in sports productions. They produce daily sports programming, documentaries, live coverage, talk shows, and social media content for all major sports channels, streamers, and platforms.
We facilitated their migration from a complex Kubernetes cluster to a streamlined Dockerized environment on AWS. The client utilized eight distinct microservices, leveraging a combination of PHP and Next.js/Node.js technologies. We built tailored Docker images for each microservice and set up ECS services, enabling improved scalability, simplified management, and enhanced efficiency.
Our Process
To begin, we conducted a comprehensive analysis of our existing services and developed a new, well-organized structure to enhance efficiency and scalability. As part of this process, we built Docker images for all PHP and Next.js services, ensuring each was optimized for performance and compatibility. These Docker images were then pushed to AWS Elastic Container Registry (ECR) and deployed to a newly configured Amazon ECS cluster, providing a robust and scalable foundation for the client’s applications.
In addition, we set up a dedicated EC2 server equipped with Jenkins, which now serves as the deployment automation tool for the ECS containers. This setup provides the client with a user-friendly web interface for managing deployments, streamlining the process and reducing operational complexity.
Technical Highlights
The technologies we used to deliver the solution
Docker
AWS ECR / ECS
Jenkins
PHP
Next.JS
Solutions
The custom solution we developed for the client, after understanding their unique needs and challenges.
Setting up the clusters in ECS allowed us to scale the containers more efficiently during moments of higher traffic
Key Findings
By migrating to AWS, the client gained enhanced visibility and insights into the resource usage of their microservices. This improved transparency allows for more effective monitoring, optimization, and scaling of their infrastructure.
Additionally, utilizing Docker images for specific services has provided the client with greater control over versioning. This ensures that each service can be independently managed, updated, and rolled back if necessary, fostering a more stable and flexible development environment.
Impact
The cost of service was reduced by 30% thanks to the implementation of more efficient autoscaling. By leveraging AWS ECS's dynamic resource allocation, the client was able to optimize costs while maintaining high performance during varying levels of demand.
Furthermore, the deployment process became significantly easier due to the adoption of Dockerization. This streamlined approach not only simplified the deployment pipeline but also introduced the flexibility to revert to older application versions when necessary, ensuring greater stability and control in the development and production environments.