We are happy to announce that the AppDynamics AWS Lambda Extension is now generally available to our customers.

The old saying goes like this: “If you don’t measure it, you can’t fix or improve it.” This reflects the obvious notion you can’t measure what you don’t monitor. But this isn’t where the story ends—it’s vitally important to choose, carefully and deliberately, what one measures and monitors. It’s also important to understand metrics in the overall context of an organization’s environment and goals.

Streamlining your incident management process is what we do best, and one of the ways we do that is by acting as the connective tissue across all of your applications. We’ve partnered with Checkly to bring you a new integration that empowers you to detect problems and resolve incidents faster.

As May draws to a close, it’s that time again to share with you the most surprising websites that went down this month. Now, I don’t like to “out” anyone but I do like to use these to emphasise that website downtime can affect any website, big or small. And ultimately, the impact is the same – potential customers gone elsewhere, higher bounce rate, lower SEO, and worst of all, lost revenue.

Dashboards are a crucial tool in your monitoring arsenal, as they allow you to visualize and correlate telemetry data from across your stack in a single place. Historically, Datadog offered two dashboard types: Screenboards, for pixel-level control on a canvas, and Timeboards, for troubleshooting a specific point in time. Now, we’re excited to introduce a new dashboard layout that combines the best of Timeboards and Screenboards in a single, seamless editing experience.

When Kubernetes launches and schedules workloads in your cluster, such as during an update or scaling event, you can expect to see short-lived spikes in the number of Pending pods. As long as your cluster has sufficient resources, Pending pods usually transition to Running status on their own as the Kubernetes scheduler assigns them to suitable nodes. However, in some scenarios, Pending pods will fail to get scheduled until you fix the underlying problem.

Datadog Notebooks simplify the way teams across an organization find and share knowledge. By bringing together live data and rich Markdown text, Notebooks help teams create powerful, data-driven documents—from runbooks and support playbooks to incident postmortems and data reports. And with collaboration functionalities like real-time editing and commenting, team members can simultaneously make changes to a document and gather feedback along the way.

With the quantum leap in the adoption of remote work environments, cybercriminals are turning their attention on the security vulnerabilities in these environments. On top of this, protecting remote connections is becoming increasingly difficult because hacking techniques have become more sophisticated. At ManageEngine, we’ve designed a seven-step strategy to help ensure holistic Exchange security: Detect attacks before they cause damage.

This article will show how we kept cardinality under control with a few tweaks in the Telegraf configuration. If you’re not yet familiar with it, Telegraf is the native and open-source plugin-driver metrics collection agent of InfluxDB. As you may know, cardinality is the combination of measurements, tags, sets, fields, and values in a time-series database, and having high cardinality can be a challenge.

In this post we’ll explore the concepts of data lake, data hub and data lab. There are many opinions and interpretations of these concepts, and they are broadly comparable. In fact, many might say they’re synonymous and we’re just splitting hairs. But let’s look again carefully. We can discern some subtle trends in the way people are doing things, and find distinctions in these expressions.