OtterTune – Automated Database Tuning Service for RDS MySQL/Postgres
Yo. OtterTune is a database optimization service. It uses machine learning to automatically tune your MySQL and Postgres configuration (i.e., RDS parameter groups) to improve performance and reduce costs. It does this by only looking at your database's runtime metrics (e.g., INNODB_METRICS, pg_stat_database, CloudWatch). We don't need to examine sensitive queries or user tables. We spun this project out of my research group at Carnegie Mellon University in 2020. This week we've announced that OtterTune is now available to the public. We are offering everyone a starter account to try it out…
What it does
In the maker’s words, at launch
Yo. OtterTune is a database optimization service. It uses machine learning to automatically tune your MySQL and Postgres configuration (i.e., RDS parameter groups) to improve performance and reduce costs. It does this by only looking at your database's runtime metrics (e.g., INNODB_METRICS, pg_stat_database, CloudWatch). We don't need to examine sensitive queries or user tables. We spun this project out of my research group at Carnegie Mellon University in 2020. This week we've announced that OtterTune is now available to the public. We are offering everyone a starter account to try it out on their Postgres RDS or MySQL RDS databases (all versions, AWS US AZs only). We have seen OtterTune achieve 2-4x performance improvements and 50% cost reductions for these databases compared to using Amazon's default RDS configuration. I am happy to answer any questions that you may have about how OtterTune works here. -- Andy ================ More Info: * 5min Demo Video: https://ottertune.com/blog/ottertune-explained-in-five-minutes * Free Account Sign-up: https://ottertune.com/try
Does the same job
all alternatives →- SUSpeeding up PostgreSQL through vectorized execution2014 · github.com · ▲332
- PAPugSQL, a Python Port of HugSQL2019 · pugsql.org · ▲155
- GFGraphQL for Postgres2015 · github.com · ▲195
- TSToroDB Stampede: Automagical MongoDB to PostgreSQL, 100x Faster Queries2016 · torodb.com · ▲43
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, October 2021
the whole month →
AI powered Twitter growth & scheduling for makers
Growth · 2021 · tweethunter.io
CleanUp.Pictures▲755Remove objects and defects from your pictures - 100% free
AI · 2021 · cleanup.pictures
