CYBERTEC PostgreSQL Services and Support’s Post

Real-time database visibility is crucial for peak PostgreSQL performance. That's where pg_stat_activity comes in. This powerful system view gives you instant insights into: ✅ Long-running queries causing bottlenecks ✅ Blocking sessions and lock conflicts ✅ Idle transactions consuming resources ✅ Application connection patterns Our latest blog breaks down how to leverage pg_stat_activity for daily operations, complete with practical queries you can use immediately. Ready to master PostgreSQL monitoring? Read the full guide today: https://bit.ly/4oaucqI #PostgreSQL #DatabaseMonitoring #Performance

The future of open-source data just arrived! PostgreSQL 18 was officially released on September 25, 2025. If you want a good, short video that covers the major new features for developers and system architects, this is it. 👇 Andris Gauracs from Better Stack walks through the biggest changes, including: 3x Faster Reads: Enabled by the new asynchronous I/O (AIO) subsystem. Modern Security: Native OAuth 2.0 authentication support. Smoother Upgrades: Planner statistics are now carried across major version updates. Smarter Queries: Skip scans for multi-column indexes boost performance. Watch this quick breakdown to get up to speed on the latest version of the world's most advanced database. https://lnkd.in/g4pSUBSu #PostgreSQL #Postgres18 #Database #TechNews #Development #OpenSource

Don’t just tweak it blindly. ⚡ Use PostgreSQL’s magic command: EXPLAIN ANALYZE your_query; 💡 It tells you: ✅Which indexes are being used (or ignored) ✅Where sequential scans are slowing things down ✅Which step takes the most time ⚡ One quick check can save you HOURS of frustration. #PostgreSQL #SQLTips #DatabaseOptimization

🚀 Day 17 of #100DaysOfDevOps with #KodeKloud 🚀 Today's challenge focused on installing and configuring PostgreSQL , a powerful open-source relational database system. Here’s how I did it: 🔹 Accessed the Postgres CLI using the postgres user: sudo -u postgres psql 🔹 Created a new user: CREATE USER kodekloud_cap WITH ENCRYPTED PASSWORD 'Rc5C9EyvbU'; 🔹 Created a new database: CREATE DATABASE kodekloud_db7; 🔹Granted full access to the user on the database: GRANT ALL PRIVILEGES ON DATABASE kodekloud_db7 TO kodekloud_cap; 💡 Key Takeaways: ✅ Useful Postgres commands: \du → list all users , \l → list all databases and \q → quit the Postgres CLI ✅ Double quotes (") and single quotes (') have different meanings in Postgres ✅ Don’t forget the semicolon (;) — missing it can break your commands! It’s not much, and PostgreSQL is a huge world to explore — but at least this gets us started! Have a great Sunday everyone ! 🦬

The post highlights the difference between monitoring statistics vs optimizer statistics. pg_upgrade in v18 supports optimizer stats but not extended stats.

🌟 Discover how to get started with PostgreSQL extension development! In this insightful guide, you'll learn what PostgreSQL extensions are, how they're structured, and why they matter. Whether you're diving into custom data types, stored functions, or extending PostgreSQL's capabilities—you’ll get a clear, practical roadmap for building extensions that plug right into your database. Perfect for developers looking to level up their Postgres skillset. 🔗 Read the blog now: https://hubs.la/Q03Ml6BF0 #PostgreSQL #ExtensionDevelopment #OpenSource #pgEdge #DeveloperTools #DatabaseInnovation #PostgreSQLExtensions #PostgreSQLProfessionals Shaun Thomas

🎉 PostgreSQL 18 is here — and it’s packed with power! 🚀 AIO for faster I/O 🧠 Smarter planner (skip scan!) 👩💻 Developer wins: uuidv7(), JSON_TABLE, virtual columns 🔐 OAuth 2.0 + SCRAM-SHA-256 for stronger security ⚙️ Easier upgrades + richer observability This release pushes PostgreSQL even closer to enterprise-grade performance — while keeping its open-source heart ❤️ Which feature are you most excited about? #PostgreSQL #Database #OpenSource #PostgreSQL18 #TechNews #DataEngineering

In my upcoming article, I’ll explore how to seamlessly sync data from a central PostgreSQL database to isolated branch instances. This setup allows Platform A to read directly from its dedicated PG Branch A, while Platform B pulls from PG Branch B—leveraging PostgreSQL’s robust replication system to ensure zero interference and maximum performance. No more tangled data dependencies or complex workarounds. It’s all about clean, scalable isolation that keeps your multi-tenant environments humming smoothly. Have you implemented PostgreSQL branching in your stack? What’s your go-to strategy for data isolation in distributed systems? Drop your experiences, tips, or questions below—let’s spark a discussion! #PostgreSQL #DatabaseArchitecture #DataIsolation #TechDeepDive #Replication

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

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?