Continuous delivery (CD) is more than a buzzword. In fact, CD today drives development and operations (DevOps) teams at enterprises around the world.

When a critical incident hits, the implications for the business could not be more profound. Whether it’s a productivity system that powers the efficiency of thousands of employees, or an online service that serves millions of customers and drives the company’s revenues - no organization can afford anything less than an immediate and effective resolution.

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.

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.

Sensu Summit 2018 was a two-day extravaganza, with keynotes, workshops, donuts, and all the monitoring love.

CloudReady dashboards enable a great degree of customization, a wide array of widgets, and the ability to build visualizations for monitoring the health, availability, and performance of all of your SaaS apps — especially Office 365. If you’re going to build a dashboard for all of your cloud/SaaS apps you want to be able to customize and get it just right for the different teams within your organization.

Here at the Hive, we know that there’s nothing like getting your hands on something to see what using it to solve a problem is really like. In July, we launched the Gatekeeper tour, which walks you through the process of solving a real outage we experienced, using Honeycomb. That’s why we’re excited to launch a new place for you to play: the Tracing Tour at http://play.honeycomb.io.

Since we made Datadog APM generally available last year, we have continually added new features and support for new languages and frameworks to ensure that you can monitor every aspect of application performance. Datadog APM helps companies such as Airbnb, Square, and Zendesk to optimize application performance and deliver top-notch customer experiences.