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Tigris Blog

A multi-cloud, S3-compatible object storage service for low latency data access anywhere.

1-Click Docker Registry with Northflank + Tigris1-Click Docker Registry with Northflank + Tigris

Deploy a self-hostable, private Docker Registry effortlessly using a Northflank 1-Click stack combined with Tigris for secure, scalable storage and authentication. Take back control of your container image destiny, avoid public registry limits and egress fees, and set up object lifecycle rules to optimize storage costs.
6 min read

Tigris' MCP Server Goes GlobalTigris' MCP Server Goes Global

Tigris' hosted MCP server is now globally available, simplifying integration into AI workflows like ChatGPT, Claude, and agentic coding. Benefit from no installation, OAuth security, and support for multiple Tigris organizations.
5 min read

Scaling Kafka with AutoMQ on TigrisScaling Kafka with AutoMQ on Tigris

Learn how AutoMQ paired with Tigris object storage redefines Kafka scaling by eliminating replication overhead, enabling instant partition reassignment, and delivering a fully elastic, cloud-native streaming engine.
5 min read

Fearless dataset experimentation with bucket forkingFearless dataset experimentation with bucket forking

Fork buckets like code. Get instant, isolated copies of large datasets for AI training, experimentation, and multi-agent workflows. Achieve reproducibility, safe experimentation, and point-in-time recovery with Tigris snapshots and forks.
20 min read

Build better AI agents with bucket forkingBuild better AI agents with bucket forking

Prevent rogue agent behavior by giving every agent an instant, isolated bucket fork—no data duplication, safe concurrency, and easy rollback with snapshots.
8 min read

Announcing the Tigris Storage SDKAnnouncing the Tigris Storage SDK

Introducing the Tigris Storage SDK for JavaScript and TypeScript - a simplified alternative to AWS S3 SDK with environment-based configuration, error-as-values pattern, and streamlined object storage operations.
7 min read

Distributed Training with LanceDB and TigrisDistributed Training with LanceDB and Tigris

Discover how to efficiently train large-scale ML models using LanceDB and Tigris. This guide details streaming massive datasets directly from object storage to PyTorch, simplifying distributed training and eliminating infrastructure complexities for scalable AI.
12 min read