Essential Python Monitoring Techniques You Need to Know
Learn the key techniques to monitor Python performance, catch bottlenecks early, and keep your applications fast and reliable at scale.
Learn the key techniques to monitor Python performance, catch bottlenecks early, and keep your applications fast and reliable at scale.

Discover the most effective Node.js logging libraries, their implementation patterns, and how to choose the right one for your specific project needs.

If your infrastructure still relies on Basic SKU public IP addresses, now is the time to act. 📅 Key Date: ❌ All Basic SKU IPs deprecated by 30 September 2025 🔄 Why upgrade to Standard SKU? ✅ Advanced compatibility with Azure Firewall, NAT Gateway, and Standard Load Balancer 🔐 Stronger security defau..

RELIANOID Enterprise Edition is not just a load balancer — it's a next-generation solution built for high-volume, sensitive traffic with unmatched customization and security. We’ve just published a complete guide covering: 🔧 Resource Requirements – from 2-core minimal to high-performance setups 🛠 De..

DevOps Automation

Effectively using AI coding assistants (sometimes called "Vibe Coding") means treating them like professional collaborators, not magic boxes. Success requires active guidance and integrating AI into disciplined software engineering practices.
Key takeaways:
Plan Thoroughly: Work with the AI to create a detailed project plan before coding.
Build Incrementally: Implement the plan section by section, verifying, testing, and committing (using Git) each piece before moving on.
Use Git Religiously: Version control is crucial for managing AI changes and recovering from errors (don't be afraid to git reset).
Prioritize High-Level Tests: Focus on integration tests that simulate user flows to catch regressions AI might introduce.
Debug Smartly: Feed error messages directly to the AI; reset to a clean state before applying fixes to avoid accumulating "crust."
Customize Your AI: Use instruction files and provide local documentation for better accuracy.
Structure Code Well: Modularity helps both humans and AI understand the codebase.
Stay Flexible: Experiment with different tools (like Cursor, Windsurf) and models (GPT, Claude, Gemini), and use various inputs (screenshots, voice).
Human Oversight is Essential: Always review, test, and understand AI-generated code for quality, security, and maintainability.

Terraformstepped into a fintech frenzy and wrangled that infrastructure beast into submission. With its wizardry, the once-chaotic tax gateway evolved into a slick IaC setup. As changes came in hot and fast, the system scaled gracefully instead of exploding into chaos. Terraform sidestepped those th.. read more

GCP's IAM tagBindings open a stealthy admin shortcut:A low-key user can wrangle their way into full admin rights just by smartly slapping on the right tags. Conditional access beware, this one's a slippery trick. Lapses in tag permissions let this gambit slip under the radar, making airtight tag man.. read more

Ever wonder about the backstage chaos when you whisperSELECTorINSERTinPostgres? Picture the Postgres server process like "Happy Mrs Chicken" from Peppa Pig—perched on port 5432, ready for action. Crave speed? Dive intoPgBouncer. This little trickster pools connections, dodging the traffic jam of end.. read more

AWS'sAccount Assessment for AWS Organizations toolmanaged to crank up privilege escalation risks. Its deployment instructions? About as safe as skydiving with a bedsheet. They urged the "hub role" to chill in less-secure accounts, opening a treasure trove of dicey trust paths. AWS rushed to bandage .. read more
