Choosing the Right Database: MySQL, MariaDB, PostgreSQL Compared

Your MySQL database is only as safe as your last backup. Are you confident in your recovery plan? I’ve put together a hands-on guide to mastering MySQL Backup & Recovery, from logical dumps to point-in-time recovery, all covered with examples. Whether you're a DBA pro or just starting out, this guide walks you through: 🔹Backup strategies that actually work 🔹Recovery methods that save you under pressure These are real scripts, no fluff.  Save it. 🔁 Repost it.  You never know when you'll need it. #MySQL #BackupAndRecovery #DatabaseOps #DBAtools #MySQLTips #DataResilience

🚀 Day 9 of #100DaysOfDevOps with #KodeKloud 🚀 Today’s challenge was all about MariaDB Troubleshooting Here’s how I did it: 🔹 Ran sudo systemctl status mariadb to check logs and get a better idea of what was going on. 🔹 Googled the error message: “Failed to start MariaDB 10.5 database server" , and the process exited with failure code: "ExecStart=/usr/libexec/mariadbd --basedir=/usr” 🔹 Found multiple possible causes : permission issues, misconfigured service files, or corrupted data directories. 🔹 Since MariaDB was already installed, I suspected a permission issue on the data directory. 🔹Solution: Made sure the data directory (/var/lib/mysql) was owned by the mysql user: sudo chown -R mysql:mysql /var/lib/mysql 🔹Restarted the service and it worked perfectly! 💡 Key Takeaways: ✅ Finding the issue is often harder than fixing it. 😅 ✅ The -R option in chown changes ownership recursively for all subdirectories and files. It was a simple fix, but it solved a real problem. 🦬

In MySQL 8.4, database auditing is no longer a performance bottleneck. It's a precise, high-speed tool. The deprecated audit_log_plugin has been replaced by the new Audit Log Filter, giving DBAs and developers granular control with JSON-based rules. You can now log only what you need, dramatically reducing overhead and log size. Our new guide breaks down exactly how to leverage this powerful feature. The GIF below shows the core concept: filtering chaotic events into a clean, actionable audit log. We cover everything from installation and performance tuning (Async vs. Sync) to writing your first filter rules. Get the step-by-step instructions and optimize your database security: https://lnkd.in/gfCi2Rux #MySQL #MySQL8 #Database #PerformanceTuning #Security #DBA #Mydbops

🎥 Happy to share another #MySQLShorts video today! This one highlights MySQL Shell again: watch Episode 21 discusses how you can use MySQL Shell to dump and restore the entire instance of a MySQL database server. #MySQL #MySQLCommunity https://lnkd.in/efBjP4um::

Last week, PostgreSQL Global Development Group has released there PostgreSQL 18. The launch of PostgreSQL18 is an inspiring step for the #OpenSourcecommunity. #PostgreSQL has been evolving for decades as one of the most trusted #OpenSource databases worldwide. With every new release, the community raises the bar by adding innovations that improve performance, security and scalability. These are exactly the qualities that we value in our daily work with large and complex data environments. For us, PostgreSQL is more than just a database. It is the solid foundation that enables us to deliver reliable and future-proof solutions to our customers. With version 18, we can process data even faster, safer and smarter, ensuring that our clients benefit directly from the latest technology. We are excited about the opportunities this new release offers and look forward to exploring all the new possibilities together with our community and customers.

MySQL's EXPLAIN ANALYZE (8.0+) shows actual execution stats - see exactly how your queries perform! 🔍 #MySQL #Follow us for more expert advices and cool tips that are simple, precise and easy to understand and use.143

In PostgreSQL, you can use event triggers to handle situations where you want detailed records of actions and an aggregate summary stored in another table. For example, if you have a `post_likes` table that keeps track of which users liked which post, you also want the `posts` table to store the total number of likes per post. Instead of recalculating likes with every query using a `COUNT` join, you can create triggers on the `post_likes` table to automatically update the `likes_count` column in the `posts` table whenever a like or unlike occurs. This way, you keep the granular event history and a fast-to-query aggregate value. Do you want me to share more PostgreSQL tips?

In PostgreSQL, you can use event triggers to handle situations where you want detailed records of actions and an aggregate summary stored in another table. For example, if you have a `post_likes` table that keeps track of which users liked which post, you also want the `posts` table to store the total number of likes per post. Instead of recalculating likes with every query using a `COUNT` join, you can create triggers on the `post_likes` table to automatically update the `likes_count` column in the `posts` table whenever a like or unlike occurs. This way, you keep the granular event history and a fast-to-query aggregate value. Do you want me to share more PostgreSQL tips?

The $2.5 Million Panic: How a Silent PostgreSQL feature almost Cost Everything. It was a nightmare scenario: A high-volume e-commerce platform's production PostgreSQL database was suddenly Read-Only. Writes were failing. Orders weren't processing. In an hour, the revenue loss was already toward $2.5 Million. The immediate thought in the war room was a storage Scale Up. But one person voice said, "No. We'd just be masking the root cause." That's when the issue got escalated to me. The Root Cause Analysis: The problem wasn't capacity; it was configuration. We found an insidious culprit hiding in plain sight: Inactive Logical Replication Slots. Were forcing the server to indefinitely hold onto massive amounts of Write-Ahead Logs (WAL), consuming all the disk space while waiting for a consumer that would never arrive. The Fix: We didn't spend a dollar on scaling. We identified and dropped the inactive logical replication slots. Storage usage downgraded instantly, and the database was back to read/write mode. This is the difference between a quick fix and a lasting resolution. If your DBA team isn't regularly auditing pg_replication_slots, you're gambling with your production stability. Are you managing your PostgreSQL replication or is it silently managing your storage? For deeper dives and real based case studies, subscribe to my newsletter I share what doesn’t fit in a single post >>> https://lnkd.in/d3M5-pJA #PostgreSQL #DatabaseAdministration #DBA #Azure #Replication #DBRE

A long while back, I came across an article about some cool SQL optimizations. The author compared a few databases to see which optimizations they supported or not. Since I'm working on a caching proxy for PostgreSQL, I decided to look at the optimizations from the article and see what has changed in the most recent version, PG 18, compared to the version tested in the article, PG 9.6 - I wrote a post about what I found: https://lnkd.in/dWsc-m4h