Operations | Monitoring | ITSM | DevOps | Cloud

In December 2024 we launched Scribe to help responders never miss a detail from their incident calls. By automatically transcribing calls and highlighting key information, Scribe eliminates manual note-taking, reduces time spent getting up to speed, and preserves valuable context for post-incident analysis. The feature quickly gained popularity among our customers, but with success came an influx of requests for bug fixes, extra functionality, and wider call platform support.

Data is more than a record of what happened—it shapes what happens next. Across industries, connected devices continuously stream time-stamped data that reflects the current state of machines, environments, and systems. This steady flow gives organizations a live view of operations and the ability to catch issues early, adjust quickly, and operate more efficiently. However, capturing data alone does not create value.

Every system in your environment—cloud, on-prem, or hybrid—generates log files. They capture everything from user actions to system failures, security events, and performance issues. But with so many log types and so much raw data, it’s easy to get buried in noise and miss what matters.

They say what happens in Vegas stays in Vegas—but this year, we couldn’t keep the latest in cybersecurity to ourselves. Though it wasn’t our first time attending Black Hat USA (we’re no strangers to the neon lights and desert heat), our anticipation was high when we landed at LAS. We couldn’t wait to get to the show, connect with security professionals, learn more about where the industry is headed, and put our own solutions to the test.

In today’s technological landscape, mobile applications are on the rise, boosting efficiency, portability and accessibility in daily life, across a spectrum of industries, from financial services to food delivery. As mobile apps become more essential, the quality of their features, performance, and user experience is critical.l.

Service Level Objectives (SLOs) are a cornerstone of modern software engineering. Defining alerts around SLOs has become standard practice, but many of the common patterns in use today miss the early signals that can tell a customer before an SLO breach has occurred.

I was thrilled to host our latest tech talk, where we got to do a deep dive into vmanomaly with the best possible guests: Fred Navruzov, the actual team lead for the product, and Co-Host, Matthias Palmersheim. We covered a ton of ground, from high-level concepts to the nitty-gritty of configuration. For everyone who couldn’t make it, I wanted to share my personal recap of the most important technical takeaways from our conversation.

Predictive Analytics Models and Algorithms are an important component of eG Enterprise’s AIOps engine for proactive observability. eG Enterprise collects and analyses metrics, events, logs and traces and the data including real usage data is used to make intelligent predictions to forecast future system behavior and IT resource metric levels.

Let's be provocative for a moment. You probably don't know what is actually on your network. You have the CMDB, spreadsheets, diagrams from the last big refresh, and the institutional knowledge of your veteran engineers. But is this information accurate? Is it complete? Answering that question with absolute certainty can be difficult for many who manage complex IT environments.

For a one-person IT team at a growing school, every minute counts. At American Heritage Charter School in Idaho, USA, IT professional Josh Siqueiros needed a solution that was more than just a monitoring tool. He needed a partner that could centralize his operations, save him time and provide rock-solid support. Josh ultimately chose Pulseway over NinjaOne for four key reasons that directly addressed his unique challenges. One of the biggest pain points for any IT professional is onboarding new devices.