K8S Whisperer
Talk with your Kubernetes cluster
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Open SourceDeveloper Tools
Description
K8sWhisperer is a Kubernetes operator that allows users to query pod logs using natural language. It leverages a TinyLlama model to interpret human-readable queries and converts them into parameters to retrieve the desired logs from Kubernetes pods, providing a short human-readable report on the fetched logs. This project aims to simplify the debugging process and enhance log readability in crowded Kubernetes clusters.
How to use K8S Whisperer?
To use K8sWhisperer, clone the repository, build and deploy the Docker image, and create a custom resource to query logs. Apply the resource and check the results using kubectl commands.
Core features of K8S Whisperer:
1️⃣
Natural Language Processing (NLP) for log queries
2️⃣
Log Filtering by parameters like taillines, sincetime, and grep keyword
3️⃣
Direct integration with the Kubernetes API
4️⃣
Custom resource creation for log queries
5️⃣
Human-readable report generation from logs
Why could be used K8S Whisperer?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Debugging issues in Kubernetes clusters | ✅ | |
| # 2 | Retrieving specific logs based on natural language queries | ✅ | |
| # 3 | Generating reports on log data for analysis | ✅ | |
Who developed K8S Whisperer?
K8sWhisperer is developed by Ahmed Rakan Aldhafeeri and Ikko Eltociear, who aim to enhance the Kubernetes experience by making log querying more intuitive and accessible through natural language processing.