Getting your applications running on Kubernetes is one thing: keeping them up and running is another thing entirely. While the goal is to deploy applications that never fail, the reality is that applications often crash, terminate, or restart with little warning. Even before that point, applications can have less visible problems like memory leaks, network latency, and disconnections. To prevent applications from behaving unexpectedly, we need a way of continually monitoring them.
The release of the Gartner® Hype Cycle™ for I&O Automation, 2023 has inspired us here at OnPage to provide our insights on the latest trends in I&O optimization. In this blog, OnPage will predict the widespread adoption of technologies that can further automation efforts and thus contribute to I&O optimization.
Autoscaling the resources and services in your Kubernetes cluster is essential if your system is going to meet variable workloads. You can’t rely on manual scaling to help the cluster handle unexpected load changes. While cluster autoscaling certainly allows for faster and more efficient deployment, the practice also reduces resource waste and helps decrease overall costs.
Football is officially back, and Doug Madory is here to show you exactly how well the NFL’s streaming traffic was delivered.