The Mini Data Platform
The concept
In the evolving landscape of data management and infrastructure automation, the ability to efficiently deploy and manage data platforms is essential for any organization looking to leverage data-driven insights. The mini data platform cluster project that embodies the spirit of innovation and learning in the fields of Infrastructure as Code (IaC), Data Engineering, and Operations (Ops).
At the heart of this project lies a carefully curated stack comprising Terraform, Minikube, ArgoCD, and Airflow. Each tool has been selected for its strength in automating and managing infrastructure, orchestrating deployments, and scheduling complex workflows, respectively. Together, they form a robust framework that enables users to deploy a miniature yet fully-functional data platform cluster with ease.
Learning purpose
This project serves a dual purpose. Firstly, it is a practical guide that demonstrates the simplicity and efficiency of using modern DevOps tools to set up a data platform. Secondly, it acts as a learning platform for enthusiasts and professionals alike who wish to deepen their understanding and enhance their skills in IaC(1), Data Engineering, and Ops.
- IaC: Infrastructure as Code
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Define architecture in a serverless approach and running in minutes
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Learn how to define Infrastructure as Code
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Declarative & GitOps continuous delivery tool for Kubernetes.
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Define & orchestrate Data Pipelines
Execution
The main advantage about using Terraform for this project is the simplicity of deploying it.
cd terraform/main
terraform init
terraform apply
In case of doubt, check the Terraform section.
Literature
This section compiles a selection of articles and resources that were invaluable in the development of the mini data platform cluster project. It features links to comprehensive readings on Terraform, Minikube, ArgoCD, and Airflow, each chosen for its clear explanations, practical advice, and relevance to integrating and utilizing these tools effectively. We extend our gratitude to the authors of these resources for their insights and contributions to the community.
Acknowledge
We acknowledge and appreciate the effort and expertise of each author whose work has guided us. As our project grows and adapts, we will continue to update this section with new findings and articles that reflect our ongoing learning journey and the contributions of experts in the field.