Operations | Monitoring | ITSM | DevOps | Cloud

A long time ago, in a galaxy far, far away, I said a lot of inflammatory things about metrics. “Metrics are shit salad.” “Metrics are simply nerfed dimensions.” “Metrics suck,” “metrics are legacy,” “metrics and time series aggregates will fucking kneecap you.” I cannot tell a lie; Twitter will testify that I’ve spent the past six years ragging on metrics.

We know customers and users today demand new features to be frequently released to their favorite apps. Plus they expect any bugs or issues hindering a great user experience to be fixed—and fast. Here we're going to cover new capabilities built to help you keep up with the business by measuring how well your team works in small batches and identifying previously invisible cross-team dependencies in your development and delivery processes.

Software-defined WAN (SD-WAN) is a software overlay that decouples WAN configuration and management from the underlying network transport medium (5G/LTE, MPLS, xDSL, etc) and dynamically routes WAN traffic. To the uninitiated, that’s a mouthful. But it’s one of the most interesting trends of the last few years. Let’s jump on the bandwagon! Time for a primer on SD-WAN, why it matters, and where it’s heading now and into the future.

The Simple Notification Service, or SNS for short, is one of the central services to build serverless architectures in the AWS cloud. SNS itself is a serverless messaging service that can distribute massive numbers of messages to different recipients. These include mobile end-user devices, like smartphones and tablets, but also other services inside the AWS ecosystem. SNS’ ability to target AWS services makes it the perfect companion for AWS Lambda.

One of Checkly's strengths is the capability to monitor key transactions on your site. It'd be missed opportunity if we didn't reuse it to monitor our own product! But for some important flows that comes with a couple of pitfalls. In this post, we'll take a closer look at how we monitor one of our top key flows: signup.

In this blog, I’ll cover a real-world example of application performance troubleshooting a Java web app, hosted on JBoss Wildfly using Microsoft SQL as the backend database, including details of the analysis and diagnosis we had to perform in order to identify the root-cause of, and resolve, the performance issue.

In Cribl LogStream 3.0, we introduced Packs! Packs are self-contained bundles of configurations that allow users to solve full use cases with minimal setup/configuration on their part.

In this article, you’ll learn how to understand and debug the memory usage of a Node.js application and use monitoring tools to get a complete insight into what is happening with the heap memory and garbage collection. Here’s what you’ll get by the end of this tutorial. Memory leaks often go unnoticed. This is why I suggest using a tool to keep track of historical data of garbage collection cycles and to notify you if the heap memory usage starts spiking uncontrollably.

IoT has rapidly moved from a fringe technology to a mainstream collection of techniques, protocols, and applications that better enable you to support and monitor a highly distributed, complex system. One of the most critical challenges to overcome is processing an ever-growing stream of analytics data, from IoT security data to business insights, coming from each device. Many protocols have been implemented for this, but could logs provide a powerful option for IoT data and IoT monitoring?