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.

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.

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.)

Across every industry and operational model we serve, customers tell us they’re struggling with finding the actionable signal in a sea of data. The systems and services teams run are growing more complex every year, and headcount never scales at the same rate.

Meet the Honeycomb Beeline for Ruby. Like our Beelines for Go and Node, it understands the common packages you’re using and automatically instruments them to send useful events to Honeycomb. Then once you’ve got a chance to explore your app’s behavior, you can add custom fields specific to your app with just one line of code.

We live in a world of big data, where even small-sized IT environments are generating vast amounts of data. Once an organization has figured out how to tap into the various data sources generating the data, and the method for collecting, processing and storing it, the next step is analysis.

Many enterprises are at the brink of digital transformation, which entails adopting new technologies that process a sea of both personal and enterprise-level data. Despite a surging number of innovations to prevent evolving cyber threats from hijacking that data, the sheer number of successful, high-profile data breaches and attacks recently highlight the insufficient security practices of organizations around the globe.

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.

It’s no secret that Kubernetes is the leader when it comes to container orchestration platforms. Since its 2014 release, the open source project has taken the world by storm and become one of the biggest success stories in the open source community.