Operations | Monitoring | ITSM | DevOps | Cloud

With AI at the center of media and industry focus, cybersecurity teams are increasingly putting pressure on themselves to prepare for AI-fueled cyber attacks. According to Ivanti’s 2025 State of Cybersecurity research, half of IT security professionals ranked “yet unknown weaknesses” as a high or critical threat – the same as or higher than compromised credentials, supply chain risks, DDoS attacks and other real-world threats.

The healthcare sector, perhaps more than any other, needs to scrutinize the balance between data utility and data privacy. Healthcare organizations must manage large amounts of sensitive data while complying with stringent regulations such as the Health Insurance Portability and Accountability Act (HIPAA). For IT teams seeking to implement AI-augmented service management, that responsibility weighs heavily.

What digitalization of public services looks like, and how to achieve it.

We’re entering a new era at CloudZero, and we’re coming in hot. This week, we’re not just launching a new feature. We’re taking a major step forward in our mission to make cloud cost efficiency a seamless, engineer-first, business-aligned reality. My team and I are thrilled to introduce CloudZero Optimize, our smartest, most action-oriented optimization solution yet.

When requests slow down across your microservices, tracing helps you understand where time is spent. Jaeger and Zipkin are two popular tools for distributed tracing, built to answer a simple question: where did the request go? If you're choosing between them or just exploring options, this guide breaks down the differences and when each one might be a better fit.

Everything looks fine—dashboards are green, logs are quiet. But users start reporting slow response times. No errors, no traffic spikes. Just a general slowdown. It’s a common situation. Not all problems show up as crashes or clear failures. Sometimes, performance degrades quietly, and standard metrics don’t catch it early. But that's where Prometheus alerting can help, if you're monitoring the right signals.

The cloud ecosystem has reached a turning point. Tools for operators/administrators are now mature and can handle most day-to-day operations that deal with Kubernetes clusters. Finally, we can turn our focus to application developers and their needs. If you look at all the Kubernetes tools available, you’ll understand that most of them treat Kubernetes as another form of infrastructure.

Last week, hundreds of engineering leaders, SREs, platform teams, and developers joined us for Summer Scoop 2025, our biggest launch event yet. The way that we think about our product development at Cortex revolves around all the different types of users who are in our product every day.

Real User Monitoring (RUM) helps teams understand exactly how their users experience their web and mobile applications—from load times to crashes and frustration signals. But traditional RUM models come with tough trade-offs: capture all sessions and overspend, or sample data and miss what matters. Fixed sampling rates may help manage volume, but they leave dangerous blind spots.

Today, we're expanding on the integrations front, and launching new integrations for Windows events, network telemetry, and cloud storage. Here's a quick tour of what's new and why it matters.