CrashLoopBackOff is a Kubernetes state representing a restart loop that is happening in a Pod: a container in the Pod is started, but crashes and is then restarted, over and over again. Kubernetes will wait an increasing back-off time between restarts to give you a chance to fix the error. As such, CrashLoopBackOff is not an error on itself, but indicates that there’s an error happening that prevents a Pod from starting properly.
PromQL is a flexible language designed to make it easy for users to perform ad-hoc queries against their data. By default, Prometheus indexes all of the fields in each metric except for source and target, which are not indexed by default. Prometheus is an open-source tool that lets you monitor Kubernetes clusters and applications. It collects data from monitoring targets by scraping metrics HTTP endpoints.
We are happy to announce that file provisioning for Grafana Alerting has arrived in Grafana 9.1. This feature enables you to configure your whole alerting stack using files on disk, as you may already do with data sources or dashboards. The Terraform Grafana provider has also been updated to allow the provisioning of Grafana Alerting resources.
Efficient manufacturing is important for saving companies time, money, and energy. Making decisions based on data can improve efficiency, but there’s a lot of data to sort through. Manufacturing equipment contains many sensors, especially in the IIoT space. Overall Equipment Effectiveness (OEE) was first described by Seiichi Nakajima in the mid-twentieth century as part of his Total Productive Maintenance (TPM) method.
Software applications have become crucial for business growth and success in today's world. However, as businesses become increasingly competitive, the necessity to provide top-notch software applications is also increasing. Additionally, as organisations gravitate towards developing extensive, feature-rich applications, they are witnessing an increase in software complexity – that can often cause things to get out of hand very quickly.