# lakeFS

> lakeFS is an open\-source data version control that transforms your object storage to Git\-like repositories\. Start managing data the way you manage your code\.

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## Pages
- [MLOps Architecture: Benefits, Challenges \& Best Practices](https://lakefs.io/mlops/mlops-architecture/)
- [MLOps Pipeline: Types, Components \& Best Practices](https://lakefs.io/mlops/mlops-pipeline/)
- [What is MLOps? Benefits, Challenges \& Best Practices](https://lakefs.io/mlops/)
- [26 MLOps Tools for 2026: Key Features \& Benefits](https://lakefs.io/mlops/mlops-tools/)
- [What is Data Quality: Definition, Framework, and Best Practices](https://lakefs.io/data-quality/)

## Posts
- [Object Storage: Everything You Need to Know](https://lakefs.io/blog/object-storage/)
- [GxP\-Aligned by Design: How lakeFS Brings Compliance Discipline to AI\-Ready Data in Life Sciences](https://lakefs.io/blog/gxp-compliant-ai-data-infrastructure-life-sciences/)
- [Multimodal Data Integration: Architecture, Challenges \& Best Practices](https://lakefs.io/blog/data-bottlenecks-for-ai-projects/)
- [AI\-Ready Data Explained: The Pillars, Challenges, and Process](https://lakefs.io/blog/ai-ready-data-explained/)
- [Lessons Learned Building an AI Factory from Lockheed Martin](https://lakefs.io/blog/lockheed-martin-ai-factory-lessons-learned/)

## Events
- [When Agents Touch Production Data: Trust, Isolation and Reproducibility for Agentic AI](https://lakefs.io/event/agentic-ai/)
- [CI/CD Safety Net for Databricks ETLs](https://lakefs.io/event/cicd-databricks-etl/)
- [AI\-Ready Data Infrastructure](https://lakefs.io/event/ai-ready-data-infrastructure/)
- [Subsurface \- Rethinking Ingestion: CI/CD for Data Lakes](https://lakefs.io/event/subsurface/): What we propose and will cover in this talk, is a new strategy for data lake ingestion\. One where new data can be added in isolation, then tested and validated, before “going live” in a production table\.
- [CI/CD Safety Net for Databricks ETLs](https://lakefs.io/event/cicd-databricks-etl-240603/)

## Media Mentions
- [lakeFS Announces 2026 AI\-Ready Data Summit](https://lakefs.io/media-mentions/2026-ai-ready-data-summit/)
- [lakeFS Acquires DVC, Uniting Data Version Control Pioneers to Accelerate AI\-ready Data](https://lakefs.io/media-mentions/lakefs-acquires-dvc-uniting-data-version-control-pioneers/)
- [From Chaos To Control: Building ML Platform](https://lakefs.io/media-mentions/from-chaos-to-control-building-ml-platform/)
- [Building Platform\-Agnostic Infrastructure](https://lakefs.io/media-mentions/building-platform-agnostic-infrastructure/)
- [Project Alexandria: A Digital Library](https://lakefs.io/media-mentions/project-alexandria-a-digital-library/)

## Careers
- [Backend Engineer](https://lakefs.io/careers/backend-engineer/)
- [Pre\-Sales Solution Engineer](https://lakefs.io/careers/pre-sales-solution-engineer/)

## Case Studies
- [How Department of Energy Ensures Proper Data Governance for AI Model Development](https://lakefs.io/case-studies/inl-project-alexandria/)
- [How Karius Used lakeFS to Comply with FDA Regulations for Disease Diagnostic Studies](https://lakefs.io/case-studies/karius/)
- [How Arm Powers Its Data Management Infrastructure with lakeFS](https://lakefs.io/case-studies/arm-holdings/)
- [How G\+D Used lakeFS Data Version Control to Democratize Their Data Infrastructure](https://lakefs.io/case-studies/giesecke-devrient-gd/)
- [How Microsoft’s Overture Maps Team Uses lakeFS to Enable Collaboration and Data Quality](https://lakefs.io/case-studies/microsoft-overture-maps/)

## Categories
- [Data Engineering](https://lakefs.io/category/de/)
- [Machine Learning](https://lakefs.io/category/machine-learning/)
- [Best Practices](https://lakefs.io/category/best-practices/)
- [Product](https://lakefs.io/category/product/)
- [Tutorials](https://lakefs.io/category/tutorials/)

## Optional
- [Sitemap index](https://lakefs.io/sitemap_index.xml)