Synthetic monitoring can be one of the most powerful tools in your DevOps team’s toolkit, especially for the SRE, yet is one that is often overlooked by people building out a reliability mindset. Synthetic monitoring permits you to simulate any transaction or interaction users can have in your website or app, from places around the world, as often as you’d like.
When building alerts, engineers aim to create accurate, timely, and actionable alerts. In pursuit of this goal, many engineers will leverage PromQL throughout their careers. PromQL is the query language used by Prometheus and Alert Manager to query metrics and define alerting rules. While PromQL works very well for simple use cases, as infrastructure scales, architectural patterns grow more complex, engineering practices accelerate, and alerting use cases become more multivariate.
Logging is a critical part of the software development lifecycle allowing developers to debug their apps, DevOps/SRE teams to troubleshoot issues, and security admins to analyze access. Cloud Logging provides a powerful pipeline to reliably ingest logs at scale and quickly find your logs. Today, we’re pleased to announce Log Analytics, a new set of features in Cloud Logging available in Preview, powered by BigQuery that allows you to gain even more insights and value from your logs.
This article is the final installment in a series that demystifies observability. The first three focused on the history of observability, dispelling myths around observability, and what observability is and what it can offer. In this last article of the series (Check out part 1), I want to offer a complete definition of observability.
If you’re wondering if that classic car you’ve been scoping out on Bring a Trailer or eBay Motors is as authentic as posited by the seller – specifically re: the common claims of “original paint” or “high quality respray” – you’re going to want to take a closer look around the edges. This is because a talented painter can make a second or 30th-hand vehicle look pretty snazzy with a well-affected, if not super high-quality, repaint.
It's always interesting to hear what feature requests dashboard users share with our product team. Sometimes it's big things — such as being able to set tokens on drilldowns — and sometimes it's little things. In Splunk Cloud Platform 9.0.2208, we've included a handful of Dashboard Studio "little things" updates.
The question isn't whether an incident will happen: it's when it will happen. Systems will crash. Software will fail. Vendors will suffer an outage of their own. It's your job to be prepared for these problems, and incident severity levels are one of the tools you need. Incidents have varying impacts on your business and customers. Incident severity levels are how you classify their impact and manage your response.
Application Performance Monitoring (APM) is great for tracking the health and performance of your software tool. APM helps you understand what's happening inside your application by monitoring various parameters such as CPU/memory stress, internal network throughput, and more. However, mixing in log analytics can take your APM game up a notch. Almost all software tools generate logs when they run.
We’re excited to announce the general availability of the Mezmo Agent 3.6, which introduces Windows support to our Rust Agent. At the end of this blog, we’ll also highlight important updates to our Agent Deprecation schedule.
How easy is it to work with your security tools? So easy that you’re telling all your family and friends and you singing their praises from the occasional rooftop? Well, we sure hope so. Security tools, like any other tool, should help you save time, not waste it. Nobody would have invented a drill if screwdrivers were fast enough — but it’s also up to you to make sure you are using your drill and all the other power tools available in the modern world.
