Release engineering, simplified
- release-automation
- package
- hacktoberfest
- github-actions
Repository Index
47,133 repositories indexed
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A curated list of references for MLOps
- machine-learning
- mlops
- data-science
- engineering
Open-source feature management platform
- feature
- feature-toggle
- unleash
- feature-flags
A curated list of Site Reliability and Production Engineering resources.
- site-reliability-engineering
- production
- availability
- monitoring
Roadmap to becoming a data engineer in 2021
- data-engineer-roadmap
- data-engineering
- cloud
- roadmap
Cloud cost intelligence for engineers, AI coding agents, and CI/CD 💰📉 Shift FinOps Left!
- terraform
- cost-estimation
- infrastructure-as-code
- aws
eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
- kubernetes
- golang
- rest
- grpc
Meshery, the cloud native manager
- meshery
- management-plane
- hacktoberfest
- kubernetes
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
vCluster creates tenant clusters: fully isolated environments delivered as managed Kubernetes, or as the foundation for Slurm, Ray, Run:ai and inference clusters. Each gets its own API server, CRDs and RBAC, and runs on an existing cluster or standalone on bare metal. CNCF Certified Kubernetes.
- kubernetes
- vcluster
- virtual-clusters
- multi-tenancy
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
- xonsh
- devops
- iterm2
- data-engineering
Open Source Feature Flags, Experimentation, and Product Analytics
- abtesting
- statistics
- abtest
- experimentation
《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验
- accelerator
- ai-infra
- ai-infrastructure
- book
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
- chaos-engineering
- kubernetes
- chaos-experiments
- cloud-native
lakeFS - Data version control for your data lake | Git for data
- data-engineering
- data-versioning
- go
- object-storage
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Chaos testing, network emulation, and stress testing tool for containers
- docker
- chaos
- network-emulator
- testing-tools
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Splunk Security Content
- splunk
- detection
- engineering
- responses
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
✨ Open-source DORA metrics platform for engineering teams ✨
- dora
- dora-metrics
- devops
- dev-tool
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
- data-engineering
- data-integration
- data-pipeline
- data-quality