DBA Advisor
for MySQL & MariaDB

Keeping your databases running smoothly takes skill, but more importantly, it takes time. There’s just so much to do. Every server has its own metrics, logs, and quirks to track. And the lack of automation just makes it worse.

That’s starting to change. AI and automation are taking over the repetitive parts of database management like collecting metrics, comparing configurations, and spotting performance drift, so you can focus on decisions instead of toil.

Releem is leading the way. It automates monitoring and tuning work, with better visibility and less friction. Get the data, analysis, and recommendations, all in one place, while you are  in control of every change.

Database management is a constant cycle of observation, adjustment, and validation. 
You need to handle day-to-day management tasks like collecting metrics, monitoring resource usage, and checking security settings. And then there’s also deeper optimization work like analyzing queries, reviewing schemas, and tuning MySQL configurations to prevent slowdowns and maintain consistent performance for users.

Each of these tasks takes time:

• Monitor CPU, memory, disk I/O and network throughput to spot resource saturation.
• Track buffer pool hit ratios, temporary table usage, and memory fragmentation to identify pressure points.
• Review query performance using EXPLAIN, Performance Schema, or the general query log to isolate heavy statements.
• Compare configuration variables across servers and validate performance after parameter changes.
• Investigate deadlocks, lock waits, and thread contention to prevent concurrency stalls
• Audit schema design to remove unused indexes, merge redundant keys, and add missing primary keys.
• Audit user privileges, authentication settings, and insecure defaults.
• Apply OS and MySQL updates to say current with patched and stable builds.
• Generate reports on performance, errors, and changes for management and compliance.

Traditionally you’ve needed to rely on manual scripts and scattered dashboards, but now automation can handle most of the heavy lifting. This includes collecting live metrics, correlating workload data, detecting query anomalies, validating tuning changes, flagging schema deficiencies, and more.

Releem brings those automation tasks together in one platform, so performance monitoring, query analysis, and configuration tuning happen continuously instead of reactively. It takes hours or routine maintenance off your plate and gives you back real time for optimizations.

Managing a database requires attention. Managing several at once multiplies that effort.
It’s better to have everything brought together into one, easy-to-read dashboard that not only shows metrics but highlights actionable insights.

Releem’s interface aggregates health checks, configuration insights, and query analytics for every instance you manage. From one screen, you can:

• Run system and security health checks in a click.
• Spot long-running queries instantly. There’s no need to log into each server.
• Catch deadlocks automatically and get recommendations to fix them.
• Monitor key performance metrics (CPU, memory, I/O, buffer pool usage, connections) across environments.

Having a single view changes how you work. Instead of reacting to tickets or alerts, you can scan performance across environments and see where your attention is actually needed. You don’t get more hours in the day, but you do get a clearer picture of where they should go.

With Releem, the agent collects a performance baseline and then the AI engine analyzes the workload patterns. It looks at cache hit ratios, thread waits, lock durations, temporary table usage, and buffer pool activity and then provides optimized configuration values. The recommendations are then validated by the system for stability and security before they appear in the dashboard.

Releem currently tunes for 45 MySQL/MariaDB system variables, covering:

• Memory and caching
• Concurrency and threading
• Logging and durability
• I/O and storage
• Table and schema caching

Each recommended configuration is presented so it can be evaluated at a glance. You’ll see your current settings and Releem’s suggested values. When you’re ready, you can apply the new configuration with one click. There’s no manual editing of .cnf files or SSHing into multiple servers. And if anything looks off, you can roll back instantly to the previous stable configuration.

Every configuration change you make will affect workload behavior differently. Some improve throughput, while others increase contention or latency under load. Tracking those results manually across servers is difficult and time-consuming. Historically, it’s been hard to tell if your tuning is making things better or worse.

Releem automatically records configuration history for each instance and links it to the performance metrics collected before and after a change. This gives you a clear baseline and measurable evidence of how the recommended changes are performing.

Query analysis and optimization is where DBAs spend most of their time. Releem came to change this.

The platform transforms raw Performance Schema data into actionable insights. Instead of sorting logs or building your own reports, you can pinpoint the top offenders in seconds, verify the cause, and apply fixes with confidence.

The Query & Schema block lists your top queries by execution time and total load. You can see how often each query runs, its average duration, and how much cumulative time it consumes. Sorting by either metric quickly surfaces the queries that slow down your workload the most.

Once you identify inefficient queries, you need to analyze them, one by one, to see what can be done to improve execution time.. With Releem, you don’t need to.

The Automatic Optimization Engine reviews query execution data, index usage, and access patterns weekly to pinpoint issues saving you from spending hours interpreting query plans. When issues are detected, it adds a clear actionable fix in the Query Optimization tab, like creating a new index or rewriting the query.

Every DBA knows the SHOW PROCESSLIST command can tell you what’s happening right now, but that means logging into each server one by one. When logged into Releem, you can view the live process list for all connected MySQL instances directly from the dashboard.

This single view saves hours of repetitive logins and frustrating context switching between terminals. You can quickly see which queries are running, which are waiting, and where locks or long-running sessions are building up.

Deadlocks are among the most frustrating MySQL problems. They happen fast, are hard to reproduce, and often lack enough context to explain why. Releem’s Deadlock Monitoring captures them automatically in real-time, identifies the type of deadlock, breaks down the details so you can identify the cause and resolution path immediately.

Each event includes:

• The conflicting SQL statements and affected tables
• The specific lock types and transaction IDs involved
• Steps to fix this deadlock type

Releem classifies the deadlock based on lock behavior (such as update conflicts or gap locks) and highlights the part of the query or schema that triggered it. Recommendations point your toward fixes like adding or adjusting indexes, changing query order, or modifying isolation levels to prevent the same pattern from recurring.

This saves time by eliminating the need to run SHOW ENGINE INNODB STATUS or sift through logs. All the data is organized, timestamped, and tied to the right instance automatically.

Releem’s automated health and security checks run twice daily and surface problems before they show up as outages or audit findings:

Releem checks:

• System – Tracks CPU, RAM, swap, and I/O utilization, with trend tracking over time to identify resource saturation and imbalance.
• MyISAM / InnoDB – Evaluates cache efficiency, redo log activity, and dirty page ratios to detect slowdowns in read/write operations.
• Memory – Looks at how effectively threats, tables, and definitions are cached and reused.
• Queries / Logs – Reviews sorting efficiency, temporary disk usage, and log flushing performance to catch workload inefficiencies.

For DBAs, this closes one of the biggest visibility gaps by showing when a server is nearing resource limits. Instead of juggling scripts or separate dashboards, you can view health for every instance in one place.

And when Releem finds something wrong, you don’t have to fix it manually. Adjustments are delivered as part of your configuration recommendations and can be applied automatically.

Security is sometimes forgotten until something goes wrong. MySQL’s default settings don’t help much either – many of them prioritize convenience over safety. Releem regularly checks that 11 key security settings are configured properly. These checks look for:

• Access Control Gaps – Skipped grant tables, missing SQL modes, or users created without property authentication.
• Weak Accounts – Default passwords, anonymous users, or root accounts allowed to log in remotely.
• Risky Configurations – Symbolic link support, leftover test databases, or old settings that expose your data.
• Network Exposure – Bind addresses that accept connections from anywhere instead of trusted hosts only.

All checks run automatically and results appear right in your dashboard, so you can see which settings passed and which failed.

Schema inefficiencies build slowly from unused indexes and duplicated indexes. Over time, they waste memory, slow down updates, and make backups heavier than they need to be. Each insert, update, or delete has to update every index tied to that table, even if those indexes aren’t used by queries anymore.

Releem analyzes schema and index usage to spot what’s wasting space or slowing down writes.

Outdated or inconsistent table engines can be a quiet source of performance instability. MyISAM, for example, doesn’t support transactions or foreign keys and locks entire tables during writes. This slows down workloads and risks data corruption in high-concurrency environments. Many older databases still mix MyISAM and InnoDB tables, often without realizing it, leading to unpredictable behavior during replication, backups, or recovery.

Normally tracking these issues means combing through information_schema to find which engines are in use and then manually migrating each one.

Releem automatically scans every schema and flags legacy or mixed engine use. It recommends upgrades to InnoDB where appropriate. This helps you standardize on reliable, durable storage engines and avoid hidden compatibility issues.

Over time, table structures can stop matching what the database was built for. Some end up without primary keys, a few use different collations or character sets. These things lead to slower running queries and joins stop matching cleanly. 
It’s very time consuming to track down this drift by hand. Releem keeps the drift from happening at all. It reviews schema metadata automatically and checks for:

• Missing primary keys
• Mismatched collations or character sets
• Fragmented tables

This gives you a running audit of table design without having to pull data from information_schema or trace access patterns manually. Instead of waiting until the next performance drop to clean up your schema, you’ll see practical fixes as part of your regular workflow.

If you’re managing more than one MySQL server, you know how quickly things scale out of control with different versions, different environments, different tuning histories.

Releem centralizes visibility and control over that complexity without forcing extra work.

• You can connect dozens of servers, even across mixed environments, and monitor them side by side. A server-sharing feature is also in development, so multiple users will soon be able to access and manage shared instances within the same Releem workspace.

• The agent requires minimal permissions (read-only on status and variables), no schema changes, no stored procedures. It installs fast on Linux, and supports cloud-managed systems like AWS RDS, Google Cloud SQL, Aurora, as well as on-prem MySQL, MariaDB and Percona.

• The experience is consistent across environments. Tuning recommendations, health checks and query analytics all follow the same pipeline no matter where your servers live. That means you can apply the same process to production, staging and QA without maintaining separate tools or scripts.

Releem acts as your intelligent advisory tool — built for DBAs who want deeper visibility without the repetitive grind. It automatically collects metrics, analyzes workload, and translates performance data into clear, actionable insights. Each recommendation is validated for stability and safety, so every change you apply is backed by data and remains under your control.

Releem’s automation doesn’t replace your judgment. It handles the baseline tuning, the data collection, and the repetitive checks that would normally eat half your week. You still decide when to apply changes, compare workloads, or roll back — but now you can do it in minutes, not hours.

If you prefer, you can start small. Drop the agent on one instance, give it a few days to learn, and see what it finds. Most teams discover configuration or query issues they’ve lived with for months without realizing it. Once it’s running, you’ll spend less time chasing metrics and more time on higher-value work.

At its core, Releem is an advisory tool for DBAs that combines automatic metrics analysis, actionable insights, and safe automation. It helps you detect issues quickly, optimize performance continuously, and reduce manual work at scale.