Operations | Monitoring | ITSM | DevOps | Cloud

To simulate real user behavior, performance tests often rely on API keys, tokens, or credentials to interact with real systems. But as your testing suite grows, this sensitive data can start to sprawl across scripts, configs, and environments, increasing the risk of exposure and making tests harder to manage and maintain. To address this challenge, we’re rolling out secrets management for Grafana Cloud k6, the fully managed performance testing platform powered by k6 OSS.

Guest blog by Florent Goutailler, Associate Professor, Télécom Saint-Etienne, France Teaching real-time embedded systems has always involved a fundamental challenge: the most critical behaviors – task scheduling, timing, and concurrency – are largely invisible at runtime. When students begin working with a real-time operating system such as FreeRTOS, they are introduced to concepts like scheduling, task prioritization, semaphores, and inter-task communication.

If distributed architectures have altered how systems degrade, then the way organizations model operational must evolve accordingly. Threshold monitoring evaluates individual metrics. Correlation clusters related alerts. Neither, on its own, explains how instability in one component alters exposure across an interconnected service landscape. In conversations at Nexus Live 2025, ScienceLogic’s annual customer conference, leaders described this distinction with clarity.

If you’re already running or are familiar with Home Assistant, you’ve likely worked with integrations, maybe a few automations, and possibly MQTT as a way to wire devices together. But webhooks add another layer of flexibility that lets you level up your smart home into a fully-customized, intelligent network. Instead of relying on built-in integrations and being confined to the same local network, you can let external devices and services push events directly into Home Assistant.

When my Sidekiq job starts failing or slowing down, I often feel frustrated, especially if I don’t know how to fix it. If you’re using Sidekiq to run your background jobs, you know what I’m talking about. It’s a vital element of your stack, handling everything from data exports to password reset requests. It runs silently in the background, and most of the time, you’re not even giving it a second thought.

Automated Diagnostics & Remediation reduces MTTR by closing the gap between detection, diagnosis, and resolution.

LogicMonitor’s latest innovations span the entire platform to deliver the operational foundation enterprises need for Autonomous IT—complete visibility from infrastructure to end user, AI that reasons in full context, and closed-loop automation that moves from detection to resolution. Over 90% of organizations rely on at least two to three monitoring solutions—and many enterprises operate five or more.

Most legacy AIOps investments underdeliver because the AI lacks context, not capability. LogicMonitor’s latest innovations expand Edwin AI’s contextual intelligence across every dimension, so recommendations are accurate, explainable, and trusted by the teams that need to act on them. Reduce incident resolution time with AI that understands your environment—not just your alerts.