Operations | Monitoring | ITSM | DevOps | Cloud

Discover how simulating heavy traffic based on real usage can accelerate and improve your load tests, and cut through complexity in your Kubernetes apps.

Collaboration: the secret sauce of every software project. But let’s be honest, mastering the communication needed for seamless teamwork is like trying to herd cats wearing roller skates – sounds amusing, but feels impossible. From navigating multiple time zones and illegible pull requests to juggling so many tasks simultaneously that your brain feels like a browser with fifty tabs open – teamwork isn’t always a walk in the park.

The curtain rose and fell on another spectacular Black Hat USA, the conference set against the backdrop of fabulous Las Vegas in the Mandalay Bay Convention Center. We knew upon hitting the Strip that all the glamor and neon lights were just the preshow for the main event: innovation and the latest in cybersecurity. We couldn’t wait to show attendees and fellow vendors what we had to offer.

In my last blog post, I wrote about the explicit costs of incidents — the ones you can easily track based on dollars lost. But the cost of incidents goes beyond the time spent resolving them. While we’re spending our time managing incidents (that includes mitigating and retrospectives), we’re incurring a large opportunity cost in terms of releasing the next big thing.

User expectations — those of employees and customers alike — are turning up the heat for businesses and their IT departments. Could the demand for nonstop, fast, and basically flawless digital services be any higher?

From 2022 to 2023, worldwide cloud spending is expected to increase to $597.3 billion, up from $491 billion in 2022. Year over year, that’s a 21.64% increase. Compare that to the 15.42% increase (at the time of writing) in the Nasdaq-100 Technology Sector Index, and you see a simple, inconvenient truth: Cloud spend is outpacing business growth by a substantial margin. It’s no wonder that cloud efficiency sits at the top of many companies’ priority lists.

Kubernetes has revolutionized how modern applications are deployed, managed, and scaled. As the container orchestration platform of choice, Kubernetes provides a dynamic and highly efficient environment for running containerized applications. At the heart of this ecosystem lies the intricate relationship between Kubernetes and the applications residing within its clusters. Applications within Kubernetes clusters are arranged through Pods, which are managed and scaled by various controllers.

This blog centers around Azure Functions monitoring best practices and how it tends to be better monitored using Serverless360.