Operations | Monitoring | ITSM | DevOps | Cloud

Blueprints: Ready-Made Processor Bundles For Your Telemetry Pipelines

We’ve noticed a lot of our customers spend countless hours building and configuring processors. Either parsing JSON, standardizing log formats, normalizing timestamps, masking PII, de-duplicating logs, the list never ends. Most work revolves around recreating the same processor bundles in multiple processor nodes. Bindplane’s new Blueprints solves that boring, repetitive work by providing pre-built processor bundles you can drop into any pipeline with a single click.

Why Cribl Copilot Editor is Built for the Human, First and Foremost

I’m genuinely excited about what we're rolling out with Copilot Editor, an update to our AI that’s truly packed with new capabilities designed to help you automate pipeline development. You can read about these capabilities here. I wanted to take a moment to share our thinking on a core principle that guides how we build, especially regarding the impactful, and sometimes daunting, world of generative AI.

How to Configure and Optimize Prometheus Data Retention

Prometheus can be lightweight to start with, but once it’s in production, storage usage tends to grow faster than expected. Managing how long data is kept becomes critical, especially when you're working with limited disk space or tight budgets. This guide outlines the key concepts behind Prometheus data retention, how to configure it effectively, and what to watch out for.

Solve your MTTR mysteries faster with Sumo Logic

Picture this: a crime scene where the evidence is scattered across five different rooms. There’s a footprint in one, a shattered window in another, a stray shoe on the stairs, and a witness across the street, who only saw part of what happened. Each clue matters in solving the case, but none of them tells the full story on their own.

How to Monitor Frontend Memory Usage

First of all, by frontend memory usage I mean the amount of memory that a user’s browser needs when using your website or webapp. Secondly, do you have any idea how much browser memory your website or webapp requires? Or do you know if or how much the memory footprint of your website/webapp has changed over the last few months? Or after the recent changes or releases you made? I’m guessing you don’t. Yet, this is important to monitor to avoid a bad user experience.

Shift-Left Monitoring for GitHub and Vercel Workflows

A recent LinkedIn poll by Peter Zaitsev asked: “What is the most common preventable cause of downtime in your environment?” Guess what most respondents said it was? Surprise, surprise – the top answer is Deploying Broken Code, with 57% of respondents selecting it. This reinforces how critical it is to catch issues before they hit production.

Beyond Shift Left: Engineering Leaders Increase Speed and Resilience With Observability

We recently had the privilege of hosting several industry experts and technology executives across platform strategy, SRE, and engineering enablement for breakfast at our Observability Day in London. We noted that they’re all facing the same fundamental tension: deliver faster, scale smarter, stay resilient, and somehow get ahead of what’s coming next. But how do you move fast without breaking things? And how do you prove the value of the things you don’t break?

Why You Need Real User Monitoring to Really Understand Your Web Performance

Great Lighthouse scores, but your site is still slow. Sound familiar? You’ve run PageSpeed Insights, Request Metrics, and every other synthetic test you can find. Your scores look great. But your analytics shows users bouncing, conversions dropping, and complaints about “slow pages.” What’s going on? The answer is simple: synthetic testing only tells you how your site performs in a test, not how it performs for real users in the real world.
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Smarter alerts using P75 for more signal and less noise

We've rolled out a new feature in Raygun Alerting that gives you more control over how you track and respond to performance regressions. Starting today, you can now use the 75th percentile (P75) as a filter option for page performance data in Real User Monitoring, such as Core Web Vitals and page load time, right alongside the default 'Average'. This option is available under the "Page/XHR performance change" condition and supports all the Web Vitals metrics we track: Let's break down why this matters, when you should use P75, and how it gives you better, faster insights into how real users are experiencing your site or app.