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Posts tagged #DatabaseEngineering on Bluesky
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Supporting Git remotes as Dolt remotes A deep dive into how we built the GitBlobstore, which enables using Git remotes as Dolt remotes, using Git plumbing commands, bare repositories, and force-with-lease.

You can now push a Dolt SQL database to the same GitHub repo as your source code.

GitBlobstore implementation breakdown:
www.dolthub.com/blog/2026-02-19-supporti...

#DatabaseEngineering #GitforData

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User-Defined Set-Returning Functions in Doltgres Doltgres now supports PostgreSQL set-returning functions using RETURNS TABLE and RETURNS SETOF syntax, allowing SQL functions to return a set of records with multiple values, instead of just returning a single, scalar value. We continue to move closer to full support in Doltgres for all the features available through Postgres' user-defined functions.

Doltgres supports set-returning functions—RETURNS TABLE and SETOF. One function, unified logic, plus branches, diffs, and time-travel. www.dolthub.com/blog/2026-02-18-doltgres... #Postgres #DatabaseEngineering #Doltgres

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3D character at a computer screen showing commit verification with blocked and passed test results in Dolt software.

3D character at a computer screen showing commit verification with blocked and passed test results in Dolt software.

We shipped Commit Verification in Dolt.
Block bad commits with SQL validation rules and automatic tests.
See full details → www.dolthub.com/blog/2026-02-12-commit-v...
#DatabaseEngineering #DataQuality

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Cursor for SQL interface Dolt Workbench showing a query result table with stock data and a sidebar for commit actions in a dark-themed workbench environment.

Cursor for SQL interface Dolt Workbench showing a query result table with stock data and a sidebar for commit actions in a dark-themed workbench environment.

Announcing Agent Mode in the Dolt Workbench.
Type English. Agent writes SQL. Version control makes it safe. Welcome to #CursorForSQL
Free, open source, available now.
www.dolthub.com/blog/2026-02-09-introduc... #DatabaseEngineering

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The Database Layer Is Breaking: What Developers Need to Know About AI Scale A new survey of 1,125 senior technology leaders reveals a concern for every developer building AI-powered systems: the database layer is emerging as a critical point of failure. According to Cockroach...

coderlegion.com/10723/the-da... #AI #DevOps #DatabaseEngineering #CloudArchitecture #SoftwareDevelopment

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Sticker of a trash can next to the title: A Soft Deletion Story. Part 2: Solutions and Tradeoffs. Written by Yossef Mendelssohn, Senior Developer at Flagrant. Displays the URL beflagrant.com/blog and icons for LinkedIn, Facebook, Twitter, and Instagram

Sticker of a trash can next to the title: A Soft Deletion Story. Part 2: Solutions and Tradeoffs. Written by Yossef Mendelssohn, Senior Developer at Flagrant. Displays the URL beflagrant.com/blog and icons for LinkedIn, Facebook, Twitter, and Instagram

Navigating the murky waters of soft deletion was quite the journey! 💡 Read on in part 2 to find out how Yossef revamped his approach with help from Ecto.Rescope
www.beflagrant.com/blog/a-s...
#Development, #SoftDeletion, #DatabaseEngineering, #EctoRescope

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OpenAI Deploys PostgreSQL at Unprecedented Scale: 800 Million ChatGPT Users on Single-Primary Architecture Quick Brief The Infrastructure: OpenAI supports 800 million ChatGPT users with one Azure PostgreSQL primary instance and 50 read replicas handling millions of queries per second (QPS) The Challenge: Database load increased 10x in 12 months, requiring extensive optimizations to avoid cascading failures during traffic spikes The Impact: Demonstrates PostgreSQL can power hyperscale applications with five-nines availability and low double-digit millisecond p99 latency…

OpenAI reveals how 1 PostgreSQL primary + 50 replicas powers 800M ChatGPT users with 99.999% uptime and millions of QPS.

Full infrastructure breakdown by #AdwaitX ⬇️

#PostgreSQL #OpenAI #ChatGPT #DatabaseEngineering #Tech #News #DatabaseScaling #CloudArchitecture

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#throwback How does multi-master PostgreSQL really perform under pressure? 🔁 Alfredo Rodriguez shares a real-world case study.

▶️ Watch the talk now! www.youtube.com/watch?v=79ue...

#PostgreSQL #PGDay #PPDD #Replication #DatabaseEngineering

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We just hit MySQL-level performance with Dolt (0.99x on Sysbench)! 🚀
Full benchmarks: https://ow.ly/jsLk50XCZS8

#DatabaseEngineering #DevOps #MySQL #DatabasePerformance #OpenSourceDatabase #DataOps

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DoltLab v2.5.0 is here with Kubernetes support!

Deploy database version control on your K8s cluster with a simple kubectl command.

Git for data, where your teams already work.

Try FREE DoltLab Enterprise—join our Discord for setup help! #DoltLab #Kubernetes #DevOps #DatabaseEngineering

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You gotta learn how to pick your battles. I prefer to deal with the easy ones. 😅

#Redis #RedisOrDie #DatabaseEngineering #DatabasePerformance #BackendEngineering #PerformanceMatters #DeveloperLifesavers #CachingIsntOptional #FunnyVideos

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Learn more about PostgreSQL with core team member Bruce Momjian – VSHN AG Whether you’re running mission-critical databases or just getting serious about PostgreSQL, this is the session you don’t want to miss. […]

Both Bruce and members of the VSHN team will be presenting at PGDay - so don’t miss this chance to get inspired the afternoon before!

👉 Signup today: www.vshn.ch/en/blog/lear...

#PostgreSQL #DevOps #Zürich #VSHN #PGDay #OpenSource #DatabaseEngineering #EDB #EnterpriseDB

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Our customers call DragonflyDB a game-changer: handling 300GB of data & 500k ops/sec with ease. 🚀 Full Redis compatibility meant zero code changes for seamless migration. Performance + scalability = 🏆. #DatabaseEngineering #DevOps #Redis

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Build Your Own Database From Scratch in Go | Build Your Own Database From Scratch in Go Build Your Own Database From Scratch in Go - From B+Tree To SQL

CockroachDB, Dgraph, immudb, and rqlite, well-known databases built from scratch in Go.

Just in case you ever decide to roll-your-own database, James Smith has got you covered with "Build Your Own Database From Scratch in Go".

#golang #database #databaseengineering

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Dragonfly: The Future-Proof Alternative to Redis Dragonfly is the future-proof alternative to Redis, offering superior performance, cost efficiency, and a forward-thinking licensing strategy.

Redis is great, but is it future-proof? 🚀 DragonflyDB offers unmatched performance, scalability, and simplicity as a drop-in replacement. Build for tomorrow’s demands today. www.dragonflydb.io/blog/dragonf... #DatabaseEngineering #Redis #DevOps

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Our customers call DragonflyDB a game-changer: handling 300GB of data & 500k ops/sec with ease. 🚀 Full Redis compatibility meant zero code changes for seamless migration. Performance + scalability = 🏆. #DatabaseEngineering #DevOps #Redis

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Our customers call DragonflyDB a game-changer: ‘We saw a significant boost in performance after switching from Redis. Its multi-threaded architecture lets us scale efficiently and handle higher throughput.’ #DatabaseEngineering #DevOps #Redis

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Join the Dragonfly Community  Meet the Team  Shape the Product
Join the Dragonfly Community Meet the Team Shape the Product Join us for an exclusive event focused on the cutting-edge capabilities of Dragonfly, your ultimate Redis replacement. Designed for our valued community members, this event offers a deep dive into how Dragonfly delivers cost-cutting benefits, high-performance real-time processing, and modern infrastructure advancements. Hear from Roman, our CTO, about the latest features, upcoming innovations, and the strategic direction of Dragonfly. Engage directly with our engineers, share your insights, and influence the future development of our product. Don't miss this opportunity to connect, learn, and contribute to the evolution of Dragonfly.

Looking back at our 2024 roadmap call with Romang Gershaman it’s amazing to see how far DragonflyDB has come this year! 🚀 Excited to share more insights and plans with you in 2025. Watch the session here: www.youtube.com/watch?v=dgiU... #DatabaseEngineering #DevOps #DragonflyDB

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Unlocking Dragonfly SSD Tiered Storage
Unlocking Dragonfly SSD Tiered Storage Dragonfly SSD Tiered Storage is a powerful new feature introduced in Dragonfly v1.21 (alpha stage). When enabled, it intelligently offloads a portion of in-memory data (of the String data type) to local SSD/NVMe storage, significantly reducing memory usage while maintaining sub-millisecond average latency. In this demo, we set the maximum memory limit to be smaller than the entire dataset stored in Dragonfly. Watch as Dragonfly seamlessly and efficiently operates with SSD tiering enabled.

See DragonflyDB’s SSD-tiered storage in action! 🚀 Handle massive datasets beyond RAM limits with blazing performance. Watch the demo to explore the future of scalable in-memory data stores: www.youtube.com/watch?v=YNsS... #DatabaseEngineering #DevOps #Scalability

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Dragonfly Cloud Transport Layer Security Learn how Dragonfly Cloud secures data in transit with TLS, ensuring reliable, automated encryption for resilient cloud data store communications.

Data security is non-negotiable. Dragonfly Cloud now supports Transport Layer Security (TLS), ensuring encrypted connections without compromising performance. Seamless integration, stronger protection. www.dragonflydb.io/blog/dragonf... #CloudSecurity #DatabaseEngineering #DevOps

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Our customers are raving about Dragonfly Cloud: faster performance, 60% lower costs, and improved reliability — all with zero code changes. See why teams are making the switch from Redis. 💡 #DatabaseEngineering #DevOps #CloudComputing

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Our customers call DragonflyDB a game-changer: handling 300GB of data & 500k ops/sec with ease. 🚀 Full Redis compatibility meant zero code changes for seamless migration. Performance + scalability = 🏆. #DatabaseEngineering #DevOps #Redis

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Database Shard | System Design T-Shirt | Interview Series Tee | Usha C Break it down with the “Database Shard” t-shirt, a perfect tribute to one of the most essential techniques in scalable database systems. The design features a minimalist representation of database sha...

const database = {
status: "too_big",
solution: "shard_it",
consistency: "eventually"
}

For those who scale horizontally 📊

🔗 ushacreations.shop/products/dat...

#DatabaseEngineering #SystemDesign #TechArchitecture

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