Project objectives
The main objectives of this project were twofold:
- Implement CI/CD: Use GitLab and ArgoCD to automate the integration and deployment processes.
- Deploy and manage clusters: Configure and manage clusters using Ambari with a suite of essential big data services.
Platforms & Technologies
The project was run on an on-premises platform hosted by Scaleway. The following technologies and services were essential to our solution:
- Kubernetes: Orchestration of containerised applications, ensuring high availability and scalability.
- Docker: Containerisation of applications to ensure consistency between development and production environments.
- GitLab: Management of source code repositories and CI/CD pipelines.
- ArgoCD: Automating the deployment of applications on Kubernetes.
For big data services, we have deployed :
- Ambari: Simplified management of Hadoop clusters.
- Hive: Facilitating data warehousing and SQL-type queries.
- Zookeeper: Coordination of distributed applications.
- Hadoop: Distributed storage and processing of large datasets.
- Yarn: Management of computing resources in Hadoop clusters.
- Kafka: Streaming data in real time.
- Kerberos: Securing authentication processes.
Conclusion
This project illustrated the power of combining CI/CD practices with robust cluster management. By using GitLab and ArgoCD for CI/CD and deploying a full suite of big data services with Ambari, we achieved a highly efficient and secure environment. The successful implementation not only streamlined our development and deployment processes, but also improved our ability to manage and analyse large datasets efficiently.
Implementing such solutions can significantly improve the agility and reliability of software delivery processes, making it easier to adapt to the dynamic demands of the modern technology landscape.