We migrated all of our services to Kubernetes about six months ago. At first glance, the task seemed quite simple: deploy a cluster, write application specifications, and that’s it. But, since we’re obsessed with stability, we nevertheless had to learn how k8s works under pressure, so we tested multiple failure scenarios. Most of the questions that arose were network related. One particular point of concern was how Kubernetes Services function.
We have just finished our transition from a websocket server based on laravel-echo-server to one that is fully driven by PHP: laravel-websockets. In this post, we'll highlight why and how we made that move.
Monitoring a Kubernetes cluster allows engineers to observe its resource utilization and take action when something goes wrong. This article explores what you should be monitoring and how to go about it with Rancher, Prometheus, and Grafana.
Darren Shepherd, Rancher co-founder and Chief Architect, describes the Kubernetes critical CVE issue he discovered, how it came to a resolution, and what it says about the Kubernetes open-source community.
Instrumenting your application with an APM tool is not always easy. Configuration is often complicated, and managing agent files can be daunting. AppDynamics has developed a three-step solution for automating Java agent deployment and infrastructure monitoring in a Docker environment.
The concept “Wireless Monitoring” is quite broad. In fact, it covers all wirelessly instrumented communications platforms and the monitoring we can do on them. We are talking about everything from the short-range signal of a Bluetooth device to sensors connected to a wide area wireless network.
OnPage, the industry’s leading incident alert management system today announced a new integration with Datto’s world-class IT business management platform. For the first time, managed service providers (MSPs) can take advantage of a unified view between Autotask ticketing and incident alert activities and workflows. The integration leverages the platform’s advanced ticketing capabilities by converting service tickets into intelligent alerts, all under one user interface.
To gain a better understanding of the adoption and usage of machine data in Europe, Sumo Logic commissioned 451 Research to survey 250 executives across the UK, Sweden, the Netherlands and Germany, and to compare this data with a previous survey of U.S. respondents that were asked the same questions. The research set out to answer a number of questions, including: Is machine data in fact an important source of fuel in the analytics economy?
