Operations | Monitoring | ITSM | DevOps | Cloud

Think about how airlines assign seats on a plane. Some have extra legroom. Some sit near exits. Some are cheaper, while others cost a premium. Certain passengers also have strict requirements, like families traveling together or travelers who paid for a specific class. Now imagine boarding everyone randomly. A passenger who paid for extra legroom (perhaps for health reasons) ends up squeezed into a middle seat. Families scatter across the cabin. Premium seats sit half empty while the back rows overflow.

For the past several years, Coralogix customers have used the platform to ingest, process, and analyze large volumes of observability data without the presence of artificial barriers or unexpected constraints. This flexibility has enabled teams to experiment freely, evolve their architectures, and scale smoothly alongside their systems.

Bored yet? 2025 was the fifth year in a row (2024, 2023, 2022, 2021) that Sentry gave a pretty hefty chunk of change to the maintainers of the Open Source software that we rely on and love. This is our first report since we launched the Open Source Pledge, which brings together companies that share our respect for the independent maintainers in the community. Pledge members have collectively paid $4.5M to Open Source maintainers and foundations since launch. No more excuses!

Core thesis: AIOps solves the enterprise gap between telemetry volume and operational decisions by converting noisy signals into prioritized incidents with probable causality, so recovery gets faster and repeat failures stop.

Freshservice has become a trusted system of record for IT teams managing incidents, service requests, and operational issues at scale. Tickets are logged, categorized, prioritized, and tracked with discipline. SLAs are defined. Dashboards provide visibility. On paper, everything looks covered. Yet many teams still experience missed or delayed responses when incidents truly matter, especially after hours. The gap isn’t in ticket creation. It’s in what happens next.

Compliance has always been a necessity, but for many organizations, it has also been a burden. Reports, audits, manual reviews, and spreadsheets create a cycle of looking backward rather than moving forward. As systems become more dynamic, that lag between compliance checks and real-world change grows wider, creating risk that traditional methods can’t close. The goal now isn’t to check the box.

You ran Lighthouse and got a passing audit for “Has a tag with width or initial-scale.” Great. But do you know what happens when it’s missing? Your users wait an extra 300 milliseconds on every single tap. On mobile, that’s an eternity.

IT operations are changing faster than most people realize, making autonomous IT a 2026 reality, not a distant vision. Your team monitors tens of thousands of metrics, ingests terabytes of logs, and generates thousands of alerts daily. And somehow, you still find out about outages from customers before you see them in your tools. That gap between having visibility and actually understanding what’s happening has become the central problem.

Enterprise ITOps leaders are realizing that legacy incident management processes are collapsing under the weight of today’s sprawling, hybrid-cloud enterprise environments. The fastest path from reactive firefighting to proactive, automated control is an agentic AI-powered incident assistant that can understand context, coordinate people, and take intelligent action at machine speed. Enterprise IT doesn’t look anything like it did even five years ago.

Whenever service management has struggled, the conventional response was to add processes, tools, and people. That worked for a little while; at the very least, it worked well enough to keep the lights on. However, today’s environments don’t fail quietly or occasionally. They fail noisily and across tightly coupled systems. The end result is an operational model where human effort is consumed reconstructing context instead of resolving problems. More processes don’t fix that.