Many teams prepare for peak traffic by adding replicas or upsizing instances ahead of time, then paying for unused capacity afterward. Readyset serves repeated reads from cache instead of sending them to MySQL or Postgres, helping preserve database capacity during launches and seasonal surges. QueryPilot automatically identifies and caches high-impact queries as traffic patterns change, helping your team handle sudden peaks without scrambling.
Traffic spikes can leave little time to react, especially when a launch, campaign, or seasonal rush puts revenue and user experience on the line.
A sudden surge in reads can overwhelm database capacity before your team has time to respond.
New features and campaigns introduce query patterns your team's load tests didn't anticipate.
Adding capacity takes time, even with autoscaling, while requests keep coming.
Provisioning for peak traffic ahead of time means paying for headroom that sits idle most days.
Slow checkouts, failed logins, and timeouts put revenue and customer trust at risk when demand is highest.
Database Load / Query Latency
Readyset takes repeated read traffic off the primary, keeping your application responsive during traffic spikes without the scramble.
Serves hot queries from memory, so primary load stays steady as traffic climbs.
Finds and caches high-impact queries automatically, including new ones.
Combines identical in-flight requests into a single upstream query, so a spike doesn't become a stampede.
Reduces the need to provision larger instances or extra replicas ahead of every peak.
Deploys as a MySQL or Postgres endpoint with no application changes.
Database Load / Query Latency
Point your connection string at Readyset. It speaks the MySQL and Postgres wire protocols, so your application keeps working as written.
Readyset serves repeated reads from cache, helping preserve database capacity when traffic spikes.
QueryPilot watches query patterns as they change and promotes high-impact ones to cache without a manual step.
Explore guides and engineering stories from teams using Readyset.
Seasonal seller activity was driving sustained load on Hussle's RDS MySQL primary during revenue-critical windows. After deploying QueryPilot, Hussle cached nearly 1,700 queries across 11 databases over four weeks, primary load during peak periods dropped to near zero, and it no longer needed to add read replicas for seasonal demand.
Find answers to common questions about Readyset. If you have additional questions, feel free to contact us.