The same concept holds true for AIOps, which needs a steady diet of data to feed the analytics that drive key functions like diagnostics and automation that can turn your IT operations team into AIOps champions.
Over the years, I found that building out monitoring scripts and using them properly has proven to be a challenge. When I look back at my internal IT days using platforms like Whatsupgold, PRTG, or N-central, the question always remained the same: how can I monitor efficiently and get alerts that matter? In this blog post, I thought I’d tackle something that is a challenge for a lot of people: monitoring Hypervisors.
We’ve already outlined why API performance matters and what aspects of APIs to test, but what is the difference between API testing and monitoring? As with most things, context matters. The use cases for testing and monitoring are different because the objectives are different. The ultimate goal is to verify that your APIs are functioning properly, but staging environments vary significantly from production environments.
If you’re involved in IT, you’ve likely come across the word “Kubernetes.” It’s a Greek word that means “boat.” It’s one of the most exciting developments in cloud-native hosting in years. Kubernetes has unlocked a new universe of reliability, scalability, and observability, changing how organizations behave and redefining what’s possible. But what exactly is it?
