OtterTune – Automated Database Tuning Service for RDS MySQL/Postgres

Hacker News

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

Visit product View on Hacker NewsOct 14, 2021

Share card

Actual performance

164points

63comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user, using · Missing: agents, macos, agent

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, para · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Database Labs – Postgres as a Service70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Database Labs – Postgres as a Service

Hacker News46

Keyv2 lightweight Postgres/SQLite database wrapper for Deno69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keyv2 lightweight Postgres/SQLite database wrapper for Deno

Hacker News2

Neon Database

Open source serverless Postgres as a Service

BetaList

PgModeler – EER Diagramming for postgres73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PgModeler – EER Diagramming for postgres

Hacker News9

Merging RethinkDB and Postgres with GraphQL79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Merging RethinkDB and Postgres with GraphQL

Hacker News6

First experiment wih Vertx,Vue,Postgres48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

First experiment wih Vertx,Vue,Postgres

Hacker News1

Logchain – ClickHouse/Postgres gRPC hook for logrus81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Logchain – ClickHouse/Postgres gRPC hook for logrus

Hacker News3

pglockanalyze - See the locks your Postgres migrations will acquire59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

pglockanalyze - See the locks your Postgres migrations will acquire

Hacker News8

Now supporting MySQL, Postgres, Redis, Mongo60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Now supporting MySQL, Postgres, Redis, Mongo

Hacker News3

GraphQL for Postgres83%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GraphQL for Postgres

Hacker News195

Browse all products Analyze your launch