An effort to create a fully functional Kubernetes cluster with 1 million active nodes. The article details the challenges and solutions for scaling Kubernetes to this size, covering networking, state management (etcd), and the scheduler.
TraceRoot accelerates the debugging process with AI-powered insights. It integrates seamlessly into your development workflow, providing real-time trace and log analysis, code context understanding, and intelligent assistance. It offers both a cloud and self-hosted version, with SDKs available for Python and JavaScript/TypeScript.
Real-time observability and analytics platform for local LLMs, with dashboard and API.
SigLLM is an extension of the Orion library, built to detect anomalies in time series data using LLMs. It provides two types of pipelines for anomaly detection: Prompter (directly prompting LLMs) and Detector (using LLMs to forecast time series).
PII Guard is an LLM-powered tool that detects and manages Personally Identifiable Information (PII) in logs — designed to support data privacy and GDPR compliance. It uses the gemma:3b model running locally via Ollama.
"A fully autonomous, AI-powered DevOps platform for managing cloud infrastructure across multiple providers, with AWS and GitHub integration, powered by OpenAI's Agents SDK."
PostHog is an all-in-one, open-source platform providing web and product analytics, session recording, feature flagging, and A/B testing. It supports self-hosting and offers functionalities such as event-based analytics, user and group tracking, data visualizations, session replays, heatmaps, feature flags, experiments, surveys, and more.
The article presents ten lesser-known but highly useful GitHub Actions that can enhance workflow automation, focusing on tasks like YAML validation, markdown link checking, auto-assignment of PRs, commit message linting, dependency caching, Slack notifications, license compliance checking, PR size labeling, security scanning, and Jira integration.
Find and experiment with AI models for free, then switch to a paid Azure account when you're ready to bring your application to production.
- GitHub Models allows users to find and experiment with AI models for free.
- To find AI models, users can go to GitHub Marketplace and click on Models in the sidebar.
- The playground, available in the GitHub Marketplace, allows users to adjust model parameters and submit prompts to see the model's response.
- Users can compare two models simultaneously and are rate-limited.
- GitHub provides free API usage for experimenting with AI models in your own application.
- GitHub Models allows users to find and experiment with AI models for free.
- To find AI models, users can go to GitHub Marketplace and click on Models in the sidebar.
- The playground, available in the GitHub Marketplace, allows users to adjust model parameters and submit prompts to see the model's response.
- Users can compare two models simultaneously and are rate-limited.
- GitHub provides free API usage for experimenting with AI models in your own application.
GitHub Models now allows developers to retrieve structured JSON responses from models directly in the UI, improving integration with applications and workflows. Supported models include OpenAI (except for o1-mini and o1-preview) and Mistral models.
