Operations | Monitoring | ITSM | DevOps | Cloud

It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions. Some of them are obvious, such as health and human services, patient data, medical devices, and credit payments. Some of them are less obvious, especially with the ever-changing definition of what constitutes private and identifiable data. This article provides an overview of regulatory compliance challenges and the hidden risks organizations face beneath the surface.

OpenLLMetry extends the industry-standard OpenTelemetry framework with features specifically for monitoring large language model (LLM) and GenAI application behavior.

There’s a new kind of thinking happening in the world. It doesn’t come with memories, emotions, or doubt. It doesn’t hesitate. It doesn’t wonder. However, it appears to be thinking. Ask it a question, and it responds in perfect grammar. Ask for help, and it gives you options. You could almost believe it understands. Almost. This is what happens when machines are trained to speak like us, but without ever needing to understand us.

TL;DR Missed GitKraken AI All Access Week? Here’s what went down, why devs are still buzzing about it, and how you can still get in on powerful AI tools that level up your Git workflow.

Tips and best practices to help you get up and running with FireHydrant's Model Context Protocol integration. Manage incidents, alerts, and retrospectives directly through AI assistants like Claude or Cursor. Welcome to the FireHydrant MCP Server user guide! This guide will help you get up and running with FireHydrant's Model Context Protocol integration, allowing you to manage incidents, alerts, and retrospectives directly through AI assistants like Claude or Cursor.

Every customer lost costs telecom providers five to seven times more than keeping an existing one. The industry experiences 15-25% annual churn rates, resulting in billions of dollars in lost revenue, as competitors readily absorb these dissatisfied customers. Warning signs typically manifest before departure, but traditional detection methods often identify them too late, after customers have already decided to switch providers.

In 2008, Nuance hired me to join their Healthcare Speech Recognition team as a “Release Engineer.” DevOps wasn’t a thing yet — Patrick Debois and Andrew Shafer wouldn’t hold their first “DevOpsDays” until 2009. But I was lucky that “Release Engineer” at Nuance meant “jack of all trades” who wrote Makefiles, bash scripts, Perl, and Java to build and release code to a fleet of hundreds of on-premise Linux machines.