autoscaling
copycat
| autoscaling | copycat | |
|---|---|---|
| 1 | 14 | |
| 138 | 323 | |
| 3.6% | 2.2% | |
| 9.6 | 8.8 | |
| 6 days ago | 4 months ago | |
| Go | TypeScript | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
autoscaling
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Databricks acquires serverless Postgres vendor bit.io
Yes, you'd have to do some own work to set up a direct competitor from the provided pieces.
They have published a new piece which is how they vertically autoscale Postgres in Kubernetes: https://github.com/neondatabase/autoscaling
copycat
- Show HN: Snaplet Seed – Seed data made easy
- Resend – Incident report for February 21st, 2024
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Greenmask: PostgreSQL Dump and Obfuscation Tool
Check out https://www.snaplet.dev (I'm the founder). We do exactly this.
- Pgtemp: The easiest way to write tests with Postgres in Rust, without Docker
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Supabase Branching
Testing with product workloads today? If you need to test with production workloads today, check out Snaplet and Postgres.ai. Both are great partners of Supabase.
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How Modern SQL Databases Are Changing Web Development - #3 Better Developer Experience
It’s worth noting that being able to branch production data for testing easily doesn’t mean you should just do it. It poses a significant risk of leaking sensitive user data. You should consider using tools like Snaplet to transform and anonymize sensitive columns.
- Show HN: Seed your Postgres development database with production-like data
- Show AWS: Snaplet clones a subset of your Postgres RDS instance, whilst anonymizing the data, so that you can restore it into your development environments: Local, staging, and preview.
- Show HN: Seed your Postgres database with production-like data
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Databricks acquires serverless Postgres vendor bit.io
[disclosure: I'm the founder of Snaplet]
I think there are a lot of different reasons why people may want to use a service like bit.io, but if you want a database with data in it to code against, run tests against, reproduce production related data-bugs, and run e2e tests against then check out https://www.snaplet.dev.
What are some alternatives?
helm-charts - neondatabase helm charts
Replibyte - Seed your development database with real data ⚡️
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
faker - Generate massive amounts of fake data in the browser and node.js
falso - All the Fake Data for All Your Real Needs 🙂
fakey - web-based fake data generator.
postgres-wasm - A PostgresQL server in your browser
Mongo Seeding - 🌱 The ultimate solution for populating your MongoDB database.
ClickHouse - ClickHouse® is a real-time analytics DBMS
greenmask - PostgreSQL database anonymization tool
webusb - Connecting hardware to the web.