Operations | Monitoring | ITSM | DevOps | Cloud

Real-time collaboration and virtual meetings have become part of the basic fabric of how work gets done. Because different collaboration platforms do different things really well, most organizations tend to mix and match them to fit their requirements. Teams and Zoom are two of the most common pairings. A study commissioned by Zoom and conducted by the research firm, Metrigy found that 62% of companies use both.

In the world of business, AI is like a superhero - but even superheroes need the right tools to do their job. To make AI truly effective, it’s important to pair it with automated data capture across your operations. Just like us, AI needs a complete picture to make smart decisions and avoid mistakes. Without all the details, it can’t spot patterns, catch defects, or find hidden inefficiencies.

In modern software architecture, applications aren't just getting bigger—they're getting more distributed. With microservices, serverless functions, and containers running across multiple environments, understanding what's happening inside your systems can feel like trying to track a single raindrop in a storm. That's where traces and spans come in. These observability tools aren't just buzzwords—they're your secret weapon for making sense of complex distributed systems.

When major tech companies maintain high availability while others struggle with frequent outages, the difference often comes down to one thing: effective metrics monitoring. This guide will walk you through everything you need to know about metrics monitoring, from fundamental concepts to advanced strategies.

In a pretty significant shift for internet security and subsequently certificate management, the CA/Browser Forum has officially voted to reduce the maximum validity period of TLS certificates to just 47 days by March 15, 2029. This move aims to enhance digital security and trust across the web. But as these changes approach, it'll become increasingly crucial for organizations to understand their implications and prepare accordingly. Automation will likely become mandatory.

A couple of years ago, Laravel introduced a great feature which allows to run PHPUnit / Pest tests in parallel. This results in a big boost in performance. By default, it determines the concurrency level by taking a look at the number of CPU cores your machine has. So, if you're using a modern Mac that has 10 CPU cores, it will run 10 tests at the same time, greatly cutting down on the time your testsuite needs to run completely.

I still get frustrated when I see organizations treating IT as a cost centre or an operational necessity rather than a strategic enabler. But the reality is, digital experiences are business-critical and performance is the new currency. Today’s IT leaders must adopt a CFO mindset, aligning technology investments with business outcomes, agility, and measurable return. Nowhere is this more relevant than in the realm of application acceleration.

We’re in the midst of a fundamental shift in how organizations run operations. 51% of companies have already deployed AI agents. What was once reactive and manual is becoming intelligent, automated, and AI-driven. The organizations that embrace this shift gain more than just operational efficiency; they develop a strategic competitive advantage that directly impacts business outcomes.

An AS-SET is a special object that represents a group of ASNs and forms the basis for IRR-based route filtering. However, many AS-SETs in circulation today have grown so big that they effectively whitelist much of the routing table, rendering them ineffective. According to recent analysis, there are currently 2,192 AS-SETs which expand to over 1,000 ASNs each! In this blog post, we’ll describe what an AS-SET is, its role in route filtering, and how to deal with excessively large AS-SETs.

Three Atlassian programs that support startups.