August 2026
What’s New At Releem
August 2026
SEP 25, 2026 • WRITTEN BY ROMAN AGABEKOV
Since our last update, we’ve introduced All Recommendations: one view of recommendations across your database servers, grouped into Performance, Security, Availability, and Resource Usage.
AI prioritizes recommendations by their expected impact on each server, helping you see what needs attention first. 🔍
We’ve also added PostgreSQL Query Optimization and Schema Checks, plus support for applying configuration recommendations to AWS Aurora parameter groups. 🚀 We’ve trained new machine learning models for configuration tuning across different versions of MariaDB, MySQL, and PostgreSQL. 🧠
Finally, help shape the future of databases through the MariaDB Database Survey 2026. Details and the survey link are at the end of this email. 📝
AI prioritizes recommendations by their expected impact on each server, helping you see what needs attention first. 🔍
We’ve also added PostgreSQL Query Optimization and Schema Checks, plus support for applying configuration recommendations to AWS Aurora parameter groups. 🚀 We’ve trained new machine learning models for configuration tuning across different versions of MariaDB, MySQL, and PostgreSQL. 🧠
Finally, help shape the future of databases through the MariaDB Database Survey 2026. Details and the survey link are at the end of this email. 📝
Community Contributions
Product Updates
AI-prioritized recommendations across your servers
The new All Recommendations view brings recommendations from all your servers into one place, so you no longer need to move between separate tabs to review them.
To make it easier to see which changes deserve attention first across the environments you manage, recommendations are prioritized by their expected impact on each server and organized around four pillars:
The new All Recommendations view brings recommendations from all your servers into one place, so you no longer need to move between separate tabs to review them.
To make it easier to see which changes deserve attention first across the environments you manage, recommendations are prioritized by their expected impact on each server and organized around four pillars:
- Performance
- Security
- Availability
- Resource Usage
SQL Query Optimization and Schema Checks for PostgreSQL
Releem now supports SQL Query Optimization and Schema Checks for PostgreSQL. You can review query recommendations alongside findings about database structure and maintenance.
The Agent collects query statistics from pg_stat_statements and execution plans from EXPLAIN. It also collects the schema information required for analysis.
PostgreSQL Schema Checks cover:
These findings help identify queries, indexes, or maintenance work that may need attention.
Releem now supports SQL Query Optimization and Schema Checks for PostgreSQL. You can review query recommendations alongside findings about database structure and maintenance.
The Agent collects query statistics from pg_stat_statements and execution plans from EXPLAIN. It also collects the schema information required for analysis.
PostgreSQL Schema Checks cover:
- Missing primary keys
- Duplicate, redundant, and unused indexes
- Stale planner statistics
- Sequences approaching their maximum value
These findings help identify queries, indexes, or maintenance work that may need attention.
Configuration Apply for Aurora MySQL and Aurora PostgreSQL
Releem can now apply Aurora configuration recommendations to instance and cluster parameter groups.
The Agent identifies the parameter groups attached to the instance along with its writer or reader role. It verifies that the target is ready before routing each parameter to the appropriate group, then checks the application results. Cluster-level changes are performed through the writer.
Aurora setup requires matching custom instance and cluster parameter groups before Releem can apply recommendations. Any parameter that requires a reboot will remain pending until the reboot is completed.
Releem can now apply Aurora configuration recommendations to instance and cluster parameter groups.
The Agent identifies the parameter groups attached to the instance along with its writer or reader role. It verifies that the target is ready before routing each parameter to the appropriate group, then checks the application results. Cluster-level changes are performed through the writer.
Aurora setup requires matching custom instance and cluster parameter groups before Releem can apply recommendations. Any parameter that requires a reboot will remain pending until the reboot is completed.
PostgreSQL Installation and Managed-Service Compatibility
The PostgreSQL agent installer now configures query-optimization permissions according to the database version. PostgreSQL 14 and newer use pg_read_all_data, while older supported versions receive the appropriate object-level grants.
Quoting and escaping for identifiers and credentials have been improved, and the documentation now includes the version-specific permissions required for query optimization.
For managed PostgreSQL services, the Agent skips provider-owned maintenance databases that customers cannot access. Expected restrictions on security metadata are handled without repeatedly reporting them as unexpected collection errors. Local permission errors remain actionable.
The PostgreSQL agent installer now configures query-optimization permissions according to the database version. PostgreSQL 14 and newer use pg_read_all_data, while older supported versions receive the appropriate object-level grants.
Quoting and escaping for identifiers and credentials have been improved, and the documentation now includes the version-specific permissions required for query optimization.
For managed PostgreSQL services, the Agent skips provider-owned maintenance databases that customers cannot access. Expected restrictions on security metadata are handled without repeatedly reporting them as unexpected collection errors. Local permission errors remain actionable.
CloudFormation Deployment Without a Public IP
A new AWS CloudFormation template lets you deploy the Releem Agent in a private subnet without assigning it a public IP address. The Agent only needs the required outbound connectivity.
Both the public and private templates now expose a full-metrics collection interval during deployment. You can choose how often the Agent performs a full collection, with the default remaining at 12 hours.
A new AWS CloudFormation template lets you deploy the Releem Agent in a private subnet without assigning it a public IP address. The Agent only needs the required outbound connectivity.
Both the public and private templates now expose a full-metrics collection interval during deployment. You can choose how often the Agent performs a full collection, with the default remaining at 12 hours.
Collection Continues When Individual Operations Fail
A failed EXPLAIN or an inaccessible database no longer causes Releem to discard successful results from the rest of the collection.
Query and schema collection now isolate failures to the affected database or schema section. Execution-plan errors are handled separately as well. Successful schema snapshots are preserved, allowing collection to continue for databases and queries the Agent can still access.
A failed EXPLAIN or an inaccessible database no longer causes Releem to discard successful results from the rest of the collection.
Query and schema collection now isolate failures to the affected database or schema section. Execution-plan errors are handled separately as well. Successful schema snapshots are preserved, allowing collection to continue for databases and queries the Agent can still access.
Announcements
Help shape the future of MariaDB
Releem is a Silver Sponsor of the MariaDB Foundation, and we’re helping the Foundation reach more database users through the MariaDB Database Survey 2026.
The survey is anonymous, takes about 8 minutes, and welcomes users of MariaDB, MySQL, PostgreSQL, and other databases across all roles. It’s open until mid-October, and the Foundation will publish the overall findings after it closes.
Share how you use databases, what drives your choices, what challenges you face, and what you’d like to see improved.
👉 Take the survey
Releem is a Silver Sponsor of the MariaDB Foundation, and we’re helping the Foundation reach more database users through the MariaDB Database Survey 2026.
The survey is anonymous, takes about 8 minutes, and welcomes users of MariaDB, MySQL, PostgreSQL, and other databases across all roles. It’s open until mid-October, and the Foundation will publish the overall findings after it closes.
Share how you use databases, what drives your choices, what challenges you face, and what you’d like to see improved.
👉 Take the survey
Article by
- Founder & CEORoman Agabekov has 17 years of experience managing and optimizing MySQL and MariaDB in high-load environments. He founded Releem to automate routine database management tasks like performance monitoring, tuning, and query optimization. His articles share practical insights to help others maintain and improve their databases.
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