Operations | Monitoring | ITSM | DevOps | Cloud

We’re proud to announce that Coralogix has earned 196 badges across 15 categories in the G2 Spring 2026 Reports, our strongest G2 performance to date. Placing in 369 reports, this represents a significant leap from Spring 2025, when we placed in 318 reports and earned 141 badges. These results are a direct reflection of the trust our customers place in Coralogix and their willingness to share honest feedback on the world’s largest software review platform.

Upgrading a large DX NetOps environment with multiple components across distributed infrastructure can be a challenging endeavor. Network interruptions, time-consuming validations, and the need for detailed diagnostics have been persistent pain points for administrators. With the release of version 25.4.6 of the DX NetOps Upgrade Automation Tool, we've addressed these challenges head-on. This release introduces powerful new capabilities that fundamentally change how you approach upgrade operations.

Kubernetes has revolutionized modern computing infrastructure, offering organizations near-infinite scalability, unparalleled agility in deploying new applications, and enhanced security. However, as enterprise cloud adoption continues to accelerate, that agility often comes with an unintended and costly side effect: skyrocketing cloud bills.

Data centers account for approximately 1–2% of global electricity consumption, a figure that continues to grow as demand for cloud computing, AI workloads, and digital services accelerates.

A deployment strategy is the method a team uses to move new code into a production environment. It determines how traffic shifts between versions, how much risk each release represents, and how quickly the team can roll back when something breaks. The choice isn’t academic: a mismatch between strategy and system can mean downtime, failed rollouts, or hours of manual recovery.

Once upon a time, a monolith running on a handful of servers meant that incident management, even at 2:17 AM, was something a single generalist could handle. One person with enough context across the stack could reasonably diagnose whether the database was choking, a config had changed, or a server was running hot. They’d fix it and go back to sleep.

The cloud is often spoken of as a separate realm where data exists safely away from the messy realities of the physical world. But as the events of March 2026 have reminded us, the cloud has a physical home, and that home is susceptible to the same disruptions as any other infrastructure. Here’s how diversified monitoring across independent data centers can keep visibility intact when cloud services go down.

‍Flaky tests are automated tests that pass or fail inconsistently without changes to the code. In this guide, you’ll learn why flaky tests happen, how to detect them automatically in CI pipelines, and how modern platforms prevent them from slowing teams down. Your test went well three times yesterday. It didn't work this morning. You ran it again without changing anything, and now it works. Congratulations, you've just passed a flaky test, and now someone's day is going to be ruined.