Operations | Monitoring | ITSM | DevOps | Cloud

Deep AI Investigation for ITOps: What It Is and Why It Matters

Investigation is the most time-consuming and cognitively demanding phase of incident response, and it’s the phase least served by existing tooling. Modern ITOps teams have spent years investing in better detection and alerting. The tools are faster, the dashboards are richer, and anomaly detection keeps improving.

Use This OTel Processor to Prevent Your Dashboards From Breaking

A semantic-convention rename (http.method → http.request.method) can silently break your RED metrics — no errors, just gaps in dashboards and alerts. The OpenTelemetry Collector's schema processor fixes it: put it first in your pipeline and it normalizes attribute names no matter what each service emits. Migration mode writes BOTH the old and new names, so you get zero-downtime upgrades while queries keep working.

Eight best practices for a successful cloud migration strategy

Moving to the cloud is one of the most consequential decisions an IT organization makes. A successful cloud migration strategy sets the foundation for how your business scales, innovates, and competes. But too often, cloud migration initiatives stall, underperform, or force organizations to repatriate applications back on-premises because the groundwork wasn’t laid correctly.

Alibaba Cloud monitoring: What changes when scale, speed, and cost collide

Alibaba Cloud monitoring isn't AWS or Azure monitoring with a different logo. The way its services scale, absorb load, and send early warning signals follows its own logic and if you're watching the wrong things, you'll find out too late. Cloud monitoring conversations often follow patterns set by AWS and Azure. The metrics are familiar, dashboards look the same, and operational playbooks are built around expected infrastructure behavior.

Troubleshooting website connection failures with website monitoring RCA

Every engineer has a story about the outage that came out of nowhere. One moment everything is green. The next, your monitoring dashboard lights up red, your inbox fills faster than you can read it, and somewhere a customer is staring at a blank screen wondering if your business still exists.

Troubleshooting website response time latency

Your dashboards may be telling a different story than what the customers are experiencing There's a version of a website problem that nobody talks about enough—the one where everything is technically fine. The site is up. The server is responding. No alerts have fired. And yet, somewhere out there, a user is watching a spinner rotate for the fifth second in a row, quietly losing faith in your product. This is what makes response time latency the most deceptive problem in web operations.

Product Update - June 2026

IncidentHub's latest product update includes private status ingestion for Microsoft Azure and Microsoft 365, a simpler UI for alerts configuration, an option to disable the public status page, and a better looking status page layout. Plus, support for more vendors (1070+ and counting). As always, I am grateful to all our customers and beta testers who have shared their feedback which has made IncidentHub better.

How to Reduce MTTR: 5 Proven Strategies for Enterprise IT Teams

Every minute of downtime impacts your business. Mean Time to Resolution (MTTR) measures how quickly your team can resolve incidents and restore services. In this video, learn 5 proven ways to reduce MTTR using unified observability, AI-powered alert correlation, automated runbooks, and ITSM integration to resolve incidents faster and minimize downtime. In this video, you'll learn.

How to create User-Defined Datasets in Coralogix

Learn how to create a user-defined dataset in Coralogix and route telemetry data into it using TCO policies with granular DataPrime expressions. In this walkthrough, you'll learn how to:• Create a new dataset with its own schema, permissions, retention, and cost visibility• Configure PBAC settings for governed access control• Route data using DataPrime expressions in TCO policies• Fan out events to multiple datasets from a single source.