Operating containerized infrastructure brings with it a new set of challenges. You need to instrument your containers, evaluate your API endpoint performance, and identify bad actors within your infrastructure. The Istio service mesh enables instrumentation of APIs without code change and provides service latencies for free. But how do you make sense all that data? With math, that’s how.

Just recently we launched AppDynamics for Kubernetes, giving enterprises end-to-end, unified visibility into their entire Kubernetes stack and Kubernetes-orchestrated applications for both on-prem and public cloud environments. Our industry-leading APM provides visibility into Kubernetes by leveraging labels such as Namespace, Pod or ReplicaSet. And AppDynamics customers can organize, group, query or filter Kubernetes objects or performance metrics based on labels.

StatusCake has always valued it’s community user base; It’s always been our view that if we can support companies at their earliest stages then down the line when they need more advanced monitoring then they know and understand our feature rich product; While other website monitoring platforms are doing more and more to restrict what their free users get, we’ve been looking at what more we can provide and with that in mind have made some improvements to the community plan.

Complex distributed systems run just about every service imaginable. Healthcare systems that monitor patient health, security systems, and financial systems are all mission-critical. Downtime, or lack of availability, loses money and can even put lives at risk. These systems must be monitored. Many measurements are useful to keep systems running with as little downtime as possible. One of those is Mean Time To Recovery. (MTTR.)

OpManager + Applications Manager Solution Can Now Manage Network, Storage, Application and Cloud Environments from One Console.

We’re back! That’s right, we have a new episode of Exception Perceptions to share with y’all. This is part 2 of of our Star Wars series, and this time we’re talking all about using errors to better understand user behavior.

DevOps is changing the way companies develop and maintain software. By embedding operations engineers into software development teams, companies are reducing the average number of days from code completion to live production and eliminating wait time and rework, among other benefits. But as I pointed out in my previous post “Performance Testing in a DevOps World” performance testing remains the weakest link in the process.