Spring is here, and March kept us busy. Grab a coffee and see what the Readyset team has been up to. Hussle Technology Eliminates Peak-Season Database Load with Readyset Hussle Technology, a global leader in direct sales and field-sales enablement software, was facing a familiar problem: seasonal spikes in customer activity were pushing their primary MySQL database toward saturation at exactly the wrong moments, peak revenue windows. After deploying Readyset QueryPilot, those same workload
Readyset
2026-04-01 · 3 min read

Spring is here, and March kept us busy. Grab a coffee and see what the Readyset team has been up to.
Hussle Technology, a global leader in direct sales and field-sales enablement software, was facing a familiar problem: seasonal spikes in customer activity were pushing their primary MySQL database toward saturation at exactly the wrong moments, peak revenue windows.
After deploying Readyset QueryPilot, those same workloads dropped to effectively zero active sessions on the primary. Across 11 monitored customers and nearly 1,700 queries, read-heavy traffic was almost entirely offloaded to Readyset, no application changes, no additional read replicas, no re-architecture.

Head to our blog to read the full story.
Readyset Core
CREATE CACHE statements, meaning you can start caching queries immediately, with zero ramp-up time, even without replication configured. If replication is set up, you can enable deep caching via --cache-mode deep or --cache-mode deep-then-shallow. You can also request a specific cache type using the CREATE [DEEP|SHALLOW] CACHE syntax.SKIP CACHE hint (/*+ SKIP CACHE */) that lets you bypass Readyset caches and route specific queries directly to the upstream database, particularly useful for debugging or one-off queries that should never be cached.readyset schema backed by DataFusion, exposing more system state through SQL and virtual relations. New virtual relations include readyset.shallow_caches and readyset.shallow_cache_entries to help you inspect and diagnose your shallow cache configuration directly via SQL.@> and <@) from O(n*m) to O(n+m), significantly improving efficiency for array-heavy queries.SHOW PROXIED [DEEP|SHALLOW] QUERIES, giving you a clearer picture of what is and isn't being cached in your workload.EXPLAIN MATERIALIZATIONS FOR CACHE <name> to show only the materialized nodes belonging to a specific cache's dataflow, making it easier to inspect and debug individual caches.&&), which checks whether two arrays share any common elements. This expands query support for applications that rely on array-based filtering.Check out the full release here.
Replication Internals: Decoding the MySQL Binary Log (Parts 2–5)
Marcelo has been publishing a deep-dive series into MySQL replication internals, and in March the series reached part 5! Parts 2 through 5 walk through the Query Log Event, Format Description Event, Previous GTIDs Log Event, and GTID Log Event, covering how MySQL tracks and communicates transaction history across replicas. If you're building on or troubleshooting MySQL replication, this series is worth a read:
You Are Invited: Introducing Readyset Shallow Cache Webinar
Most production databases handle operational and analytical queries from the same system. Deep Cache was built for the mission-critical ones. Shallow Cache handles the rest.
In this live walkthrough, we'll introduce Readyset Shallow Cache, a new caching layer built to expand query coverage across your full workload with zero ramp-up time. Join us to see how Shallow Cache and Deep Cache work together to reduce database load, improve performance, and scale without added complexity.
Apr 7, 2026, 8:00am PT / 11:00 AM ET
Keen to use Readyset but your database or cloud environment is not supported? Reach out to support@readyset.io and let us know.
Questions, bugs, ideas, or just want to say hi? You can find us on GitHub, Slack, and LinkedIn. Looking to contribute? Check out our newcomer issues, it's a great place to start.
Modern applications demand instant performance, even under unpredictable load. Readyset helps you eliminate slow queries, stabilize latency, and scale confidently.
Revolutionize your database performance with Readyset
Serve requests at sub-millisecond latencies with the modern database scaling and query caching system for MySQL and PostgreSQL.
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