1.bregman-arie / devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Ranked by Attention Score: stars gained over the last 7 complete days
54 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
One-link downloader for the Mac (videos, documents, images, articles, web pages), with optional automatic YouTube monitoring that translates and subtitles new videos.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
CLI tool for configuring and monitoring Claude Code
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monitoring—all for free or enjoy our SaaS plan!
End-to-end DevOps TaskFlow API — FastAPI, PostgreSQL, SQLAlchemy, Alembic, Docker Compose, Pytest and GitHub Actions CI,Kubernetes,prometheus,Grafana,helm,k9s,kompose,minikube
Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.
AI Observability & Evaluation
We write your reusable computer vision tools. 💜
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Daemon to ban hosts that cause multiple authentication errors
Developer-first error tracking and performance monitoring
Main Sigma Rule Repository
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, macOS and Windows operating systems.
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
Open-source cron job and background task monitoring service, written in Python & Django
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
The open-source AIOps and alert management platform
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.
Real-time monitoring for Claude Code agents through simple hook event tracking.
Python/FastAPI application for monitoring Brazilian public-sector IT opportunities, with automated data collection, job filters, and official-source tracking.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Python package for the evaluation of odometry and SLAM
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Python logging made (stupidly) simple
Cross-platform lib for process and system monitoring in Python
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
pg_activity is a top like application for PostgreSQL server activity monitoring.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Common financial risk and performance metrics. Used by zipline and pyfolio.
Your single pane of glass for real-time analytics into MySQL/MariaDB & ProxySQL
Open Source SIEM (Security Information and Event Management system).
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
Real-time monitor and web admin for Celery distributed task queue
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
A standalone SIGMA-based detection tool for EVTX, Auditd and Sysmon for Linux logs
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
Raspberry Pi MQTT Monitor gathers system information and sends it to a MQTT server.
CLI utility and Python module for analyzing log files and other data.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Real-time monitoring and visualization of failed SSH login attempts on a Linux server.