Operations | Monitoring | ITSM | DevOps | Cloud

Let’s face it: managing global data infrastructure isn’t just hard, it’s “I-just-deployed-the-wrong-config-to-prod-again” hard. If you’re a Cribl Admin or Operator working across clouds, continents, and compliance regimes, your to-do list probably reads like a series of increasingly desperate Post-it notes. Sources. Destinations. Pipelines. TLS settings. Proxies. Dev, staging, prod. Repeat. Forever. But what if we told you there’s a better way?

Discover how Accenture and Elastic are helping businesses seize the opportunities offered by generative AI When it comes to generative AI, enterprises need to think big. Shaving a few seconds off the time needed to draft an email is helpful, but the journey to real value begins when you apply AI at the enterprise level. A new partnership between Accenture and Elastic combines technical expertise and strategic excellence, enabling businesses to build the data foundations for a successful AI future.

This guide aims to help your team shift testing left, simulate real user behavior, and catch critical issues early as part of CI/CD, prevent regressions from reaching production by automating tests as part of your CI/CD and aborting deployments that contain issues. Synthetic monitoring is a great way to check important flows in production and make sure everything is working the way it’s supposed to.

In Part 1, we explored how aligning network visibility with IT service context empowers faster, smarter incident response. But what does this actually look like? Here in Part 2, we’ll go deeper into the challenges of traditional monitoring approaches, and how teams should look to move from fragmented alerts to unified insights – because when ITOps and NetOps can both see the “what” & “why” of the problem, actions become instinct.

In a perfect world, log anomalies would speak clearly and never at 2 a.m. But in reality, log data is massive, alerts can be cryptic, and critical issues often get buried in the noise. That’s why choosing the right log management tool is crucial, it’s the first line of defense against downtime, breaches, and costly oversights. This blog breaks down some of the top log management tools on the market, what they do well, where they stand out, and how they fit into your stack.

Syslog servers are essential for centralized log management, helping network engineers monitor, troubleshoot, and secure network devices efficiently. This guide walks you through setting up a syslog server from scratch, focusing on practical steps using rsyslog on a Linux system—a common and robust choice for syslog collection. Windows does not have a native syslog server, so you need third-party software.

Collecting logs in Kubernetes often starts as a simple goal, and quickly turns into a game of “where did that log line go?” Between sidecars, DaemonSets, and countless config options, it’s easy to get lost. Fluent Bit helps cut through the noise. It's fast, lightweight, and plays well with Kubernetes. And when you deploy it using Helm charts? The setup becomes way more manageable. This guide covers the how and the why, without overcomplicating the what.