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title: Database Caching, Connection Pooling, and AI Index...
description: Cast AI's Database Optimizer (DBO) is now generally available, combining query/index advice, connection pooling, and automated caching in one tool. A read-only...
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# Database Caching, Connection Pooling, and AI Index Recommendations in One Tool

**[Cast AI](https://daily.dev/sources/castai)** · 6 min read · 0 upvotes · 0 comments

## Summary

Cast AI's Database Optimizer (DBO) is now generally available, combining query/index advice, connection pooling, and automated caching in one tool. A read-only Performance Advisor agent flags missing indexes and proposes AI-generated query rewrites with execution plan comparisons, ranked by database time reclaimed. A proxy multiplexes application connections into a controlled pool and caches read-heavy queries, returning cache hits up to 400x faster with cache invalidation handled automatically by observing writes. On read-heavy workloads, Cast AI says teams typically see up to 10x lower database compute consumption and 30%+ infrastructure cost reduction. DBO runs on Kubernetes or Amazon ECS, supports PostgreSQL and MySQL (including Aurora), and works with AWS and Google Cloud, with setup in about 10 minutes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cast.ai/blog/database-optimization-platform-ga>

## Questions this post answers

### How can I stop my database from running out of connections when Kubernetes autoscales my pods?

Route application connections through a proxy that multiplexes many incoming connections into a small, controlled pool to the database. Cast AI's DBO proxy does this so that even if a Horizontal Pod Autoscaler scales from 10 to 80 pods, each opening its own connections, the database sees a predictable connection count instead of hitting limits like PostgreSQL's default max_connections of 100.

_Teams scaling pods under traffic spikes track connection pooling fixes like this on daily.dev._

### How much faster are cached database query reads compared to hitting the database directly?

Cache hits can return up to 400 times faster than querying the database directly, according to Cast AI's DBO product, which adds only sub-millisecond latency on the way in. Cache invalidation happens automatically by observing writes on the wire, requiring no privileged database access, and works with Amazon RDS, Google Cloud SQL, or self-hosted PostgreSQL and MySQL.

_Anyone weighing database caching tradeoffs follows benchmarks like this on daily.dev._

### What database engines and cloud platforms does Cast AI's DBO tool support?

DBO supports PostgreSQL and MySQL, including Amazon Aurora, and runs on Kubernetes or Amazon ECS. It works with both AWS and Google Cloud. Setup uses a read-only IAM role for automated discovery, and the Performance Advisor begins producing recommendations within about 30 minutes of agent deployment, with no code changes required for caching or pooling.

_Teams evaluating database optimization tools compare platform support like this on daily.dev._

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---

Tags: [#database](https://daily.dev/tags/database), [#postgresql](https://daily.dev/tags/postgresql)

[View this post on daily.dev](https://daily.dev/posts/database-caching-connection-pooling-and-ai-index-recommendations-in-one-tool-4pjfqozl7)

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