Another month in the books – and it’s been a great one. Highlights include support for GCP Cloud SQL, enhanced servers overview for multi-server management, and a round of Agent improvements focused on stability and lighter performance impact.
Kicking things off, we’re excited to share that the TuningWizard team has officially joined Releem, bringing their expertise in database optimization and performance analytics directly into what we’re building together.
Led by Gabriel Ciciliani, TuningWizard has spent the past four years perfecting SQL Query Optimization, helping users identify costly queries and improve performance with precision. This partnership traces back to an introduction by Peter Zaitsev, founder of Percona, which sparked a collaboration that’s been growing ever since. You can read more about how the teams are merging efforts in our official announcement.
Community Contributions
We’re always collecting issues and feature requests on our GitHub. Here’s where you can contribute:
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Issues – If you encounter any problems or bugs, report them here.
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Feature Requests – Have an idea to make Releem even better? Share your suggestions here.
Updates to Releem Dashboard
We’ve added new controls to simplify multi-server management and speed up configuration workflows across all your databases:
Servers Overview Bar
Provides a quick summary of total servers and pending configurations directly on the Servers page, improving visibility and navigation for teams managing multiple instances.
One-Click Apply Across Servers
You can now apply configuration recommendations to all servers simultaneously. This reduces repetitive work and saves you even more time (Feature request #452).
Status Indicators
Adds clear visual markers for Error and Unapplied configurations, helping you see what needs attention at a glance.
Automatic Restart Option
A new “Restart if needed” checkbox allows Releem to safely handle restarts during configuration updates without your intervention.
Updates to Releem Platform
We’ve expanded Releem’s platform with smarter indexing and broader cloud coverage. This update helps optimize complex queries and brings full support for Google Cloud SQL alongside AWS RDS:
GCP Cloud SQL Support
Adds full integration for Google Cloud’s managed MySQL and PostgreSQL databases, joining existing AWS RDS and Azure Database compatibility (Feature request #259). Enterprise customers can now enjoy complete cloud provider coverage with Releem.
GROUP BY / ORDER BY Index Detection
Now identifies missing indexes in queries that aggregate or sort large result sets, cutting down on processing time for reporting and analytics (Issue #441).
- Looks at real query history to pinpoint where indexes will make the biggest difference and suggest practical fixes.
- In testing, these improvements have delivered 30-50% faster query performance for affected queries.
Index Identification Accuracy
Fixed an issue where optimization recommendations remained marked as “Discovered” even after indexes were created. The platform now correctly tracks index changes across multiple databases and updates the status to “Evaluating” once the fix is applied (Issue #474).
Updates to Releem Agent
We’ve improved Releem Agent to make it more accurate, responsive, and efficient. It now handles version changes and server reporting more smoothly while using fewer resources overall.
Database Upgrade Detection
The Agent now recognizes the exact MySQL / MariaDB / Percona version when the database is upgraded and updates recommendations to match. This prevents outdated or irrelevant suggestions when variables are added, changed, or deprecated in newer releases (Issue #408).
Server Visibility Fix
Now registers servers in the Releem Dashboard immediately after startup. Previously, some servers remained invisible for hours if the Agent existed during early metric collection (Issue #411).
Optimized Data Collection
Streamlined how query examples and process data are gathered. This has lowered Agent resource consumption by 25% and sped up metric collection. Monitoring now runs with less impact on production workloads.
