Outgrowing Postgres: How to identify scale problems

1. dd-trace-cpp

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   Datadog APM client for C++

   

   To measure the impact of database load, monitor your application's response times using tools like New Relic or Datadog. Pay special attention to endpoints that interact heavily with the database.

2. CodeRabbit

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3. supabase

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   The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

   

   Supabase: An open-source platform offering a PostgreSQL database with built-in authentication, instant APIs, and real-time subscriptions.

4. Redis

   3 366 68,326 9.7 C

   Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

   

   As your data grows, you need to implement technical strategies to minimize I/O operations on the database so that rising data volumes have less of an impact on app response times. You can use the built-in Postgres query cache, application-level caching, or a distributed key-value store like Redis.

5. prometheus

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   The Prometheus monitoring system and time series database.

   

   Implement comprehensive monitoring and alerting for your database. This should cover not just the database itself, but also the underlying infrastructure. Tools like Prometheus and Grafana can be very effective for this purpose.

6. neon

   5 168 16,521 10.0 Rust

   Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.

   

   Neon: A serverless Postgres service with modern features like branching and virtually limitless storage.

7. Apache JMeter

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   Apache JMeter open-source load testing tool for analyzing and measuring the performance of a variety of services

   

   Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data.

8. Grafana

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   The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

   

   Implement comprehensive monitoring and alerting for your database. This should cover not just the database itself, but also the underlying infrastructure. Tools like Prometheus and Grafana can be very effective for this purpose.

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10. Gatling

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    Modern Load Testing as Code

    

    Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data.

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