Koku
An open source solution for cost management of cloud and hybrid cloud environments.
Category | Cost Security & FinOps |
---|---|
Community Stars | 272 |
Last Commit | last week |
Last page update | 18 days ago |
Pricing Details | Free and open source |
Target Audience | Cloud architects, DevOps engineers, Financial analysts, IT managers |
Koku addresses the complex challenge of cost management in cloud and hybrid cloud environments by providing a comprehensive, open-source solution. At its core, Koku utilizes a Django-based web framework to expose resource consumption and cost data through a user-friendly web interface. This interface offers easily digestible and filterable views, enabling detailed insights into cost data and suggesting optimizations to reduce unnecessary resource usage.
Technically, Koku relies on Docker or Rancher Desktop for deployment, with the option to use Docker Compose for managing containers. The system integrates with various cloud providers, such as AWS, by leveraging credentials stored in configurable files (e.g., dev/credentials/aws
). Data is processed by saving CSV files in MinIO and storing Parquet files, which are then summarized via Trino and made available in daily summary tables for API consumption. This architecture ensures real-time data processing, though it may incur significant storage costs, especially in multi-account setups.
Operationally, Koku requires careful configuration of environment variables and credentials. The use of buildkit for Docker image builds is mandatory, and logs should be monitored separately to ensure smooth operation. Testing is standardized using tox, which manages virtual environments and dependencies, allowing for comprehensive unit and integration testing.
Key technical details include the use of Python 3.11, Django for the web framework, and MinIO for data storage. The system's scalability is dependent on the efficient use of Trino for data summarization and the management of storage costs associated with data retention. While Koku offers robust cost management capabilities, it requires meticulous setup and ongoing maintenance to ensure optimal performance.