Operations | Monitoring | ITSM | DevOps | Cloud

Most cloud infrastructure and deployment misconfigurations start innocently enough: a dev under pressure to ship quickly tweaks a configuration file or adjusts a permission setting to make something work. It's not malicious and it might even be well thought out, but these small changes can cause a cascade of reactions that bring down production in seconds.

Every organization has two non-negotiables: stay compliant and stay online. But achieving both—especially at scale—isn’t easy. Many IT teams still rely on manual processes for backups, documentation, and recovery. And when something goes wrong? The cost isn’t just measured in downtime, but in regulatory penalties, lost trust, and business disruption. What if network compliance wasn’t a separate process—but could naturally integrate into your recovery strategy?

Effective vulnerability management has become a growing priority for organizations. Aided in part by AI, threats and vulnerabilities grow in speed and sophistication while IT environments become more complex. The skill gap for cybersecurity keeps widening (further worsened by a sprawling toolkit), exposing critical systems to exploitation. Managing secure infrastructure manually just isn’t possible at the scale and speed today’s enterprises demand.

The session.id field is special in Honeycomb for Frontend Observability. It’s a default option for filtering and grouping, and it’s the basis for session timeline analysis (in Early Access). Now you can control how session.id is set. In prior releases (< 0.15.0) of the Honeycomb Web SDK, we used our own UUID generator for session.id, and it was not accessible outside of the Web SDK itself. As of version 0.15.0, we give you full control.

Spring is in the air, and so is change! Hector has just released a massive batch of new features, improvements, and updates. Here are a few of the new features we’ve just rolled out.

Artificial Intelligence (AI) has become one of the most transformative technologies in today’s business landscape, especially in asset management. From improving decision-making to automating maintenance schedules, AI is redefining how organizations monitor, track, and manage their valuable assets. As digital transformation accelerates, the relationship between asset management and AI is growing stronger, unlocking new opportunities across industries.

Did you know the network infrastructure market revenue is expected to reach YS$253.21bn by the end of 2025? Over the years, small businesses and large organizations have been using networks to communicate and exchange information. With digital transformation and adoption of new technologies, networks are becoming increasingly complex. Organizations find it challenging to track these complex, extensive networks and identify issues in real time through manual monitoring.

In February, we announced our support for Hex packages, which further solidified the JFrog Platform as the most universal package management solution. We’re excited to announce we’re continuing to build on our universality with our new official support of Chocolatey and PowerShell, which allows both technologies to be used with our NuGet repositories in JFrog Artifactory.

When systems span clouds, containers, and regions, knowing what’s happening under the hood is more than a nice-to-have—it’s critical. Traditional monitoring tools often fall short in these complex setups. That’s where distributed network monitoring steps in. This guide cuts through the noise to offer a clear, practical approach to keeping tabs on distributed systems—without drowning in dashboards or alert fatigue.

Detecting dependency vulnerabilities in a Gradle-based project is crucial because it prevents applications from using libraries (dependencies) with security holes. Imagine an application as a house. Each dependency, or library used in the project, is like building material (such as wood, glass, or bricks). If there’s a flawed or easily penetrable material, the house can become unsafe, such as being more vulnerable to thieves or collapsing during an earthquake.