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Live Webinar: Most teams are paying for read replicas they don't need. On May 19 at 8 am PT / 11 am ET we're running rdst fleet audit live against a real database fleet and showing exactly what comes back: replica load, query cost breakdown, top bottlenecks, and a concrete plan for what you can change and how much that saves. Live Q&A at the end. If your database bill keeps growing and you can't explain way, you'll walk away from this session with an easy way to diagnose, understand, and optimize your workload.

Most teams don't know how loaded their read replicas actually are or what's driving that cost. rdst fleet audit connects to your database fleet, auto-discovers your instances, and gives you a complete breakdown in minutes: replica load, top queries by cost, and exactly what you can cut. The best part is that rdst is completely free to use under BSL license for as long as you like and works with your Anthropic key or the included trial key.

When databases slow down, the default response is another read replica. But most of the time the problem isn't capacity, it's a handful of queries nobody has looked at. rdst fleet audit shows you exactly what's driving load across your fleet and which replicas you can eliminate. The best part is that rdst is completely free to use under BSL license for as long as you like and works with your Anthropic key or the included trial key.

What do you do when you have already thrown 256 vCPUs, 1.4 TB of RAM, and an all-flash storage at your MySQL database and read throughput still will not budge? That was the situation Lemit Brasil found themselves in while running their real-time credit intelligence platform, where read replicas, aggressive tuning, and MEMORY tables all helped to some degree but none of it was enough to break through the ceiling they had hit. After deploying #Readyset as a transparent caching layer in front of MySQL, they were able to reach over 109,000 queries per second without changing a single line of application code.

Your database. 100x faster! Readyset Shallow Cache brings near 100% query support across your workload. No ramp-up time, no query rewrites. Join us live on April 7 to see how Shallow Cache and Deep Cache work together to cut database load across your full stack.

Have you ever been on call right before a big sale and as shoppers rush to check out, the database starts to fall behind? Join Tanmay and Bianchi next week on Thursday, November 6th to learn more about how QueryPilot is helping engineers sleep through the night. Register Here: https://lnkd.in/gPgKHGhJ