Kubernetes and OpenShift are powerful and flexible. They’re also complex to setup, monitor and maintain at scale. Here’s a sneak peek into what we monitor in OpenShift, as well as some hard-earned advice on how our strategy might benefit your own environments.
At first glance, applying machine learning to Continuous Delivery might sound a bit like cracking a peanut with a sledgehammer. I mean, how hard can deployment automation actually be? As it turns out, it’s way more complex than we think.
At Sensu, we define monitoring as "the action of observing and checking the behavior and outputs of a system and its components over time." Essentially, you want to be made aware of a problem before your users are.
Last week TimeShift took a vacation, but the Grafana Labs team stayed busy. We announced an important security fix for 5.2.3 and 4.6.4 specifically for LDAP and OAuth authentication. Please read the announcement and upgrade immediately if you haven’t already.
