Operations | Monitoring | ITSM | DevOps | Cloud

Cloud status pages were supposed to bring transparency to outages. Instead, they’ve become one of the most frustrating parts of incident response. Just to illustrate, here are only a few of the many posts on X: When a cloud service fails, status pages are often slow to update, incomplete, or missing information. Crowdsource platforms are noisy and misleading.

Short Summary: Sometimes URL paths repeat by mistake because of tracking problems or redirect loops.. In this guide, you’ll learn how to find and count those repeats using Trino SQL. By using simple SQL tools like CTEs, arrays, and window functions, you can break a long link into smaller pieces and clean up the data without using complex regex.

Here's something nobody talks about at the AI strategy meetings. Your organization just spent six figures on Cursor licenses, Claude seats, and Copilot subscriptions. Ninety percent of your engineers have access. By most internal measures, the rollout was a success. But somewhere on your team, one developer is running circles around everyone else.

Ben Avner is the Head of Ecosystem and Strategic Alliances at Apono, where he leads the company’s global partner strategy and technology alliances. He focuses on building and scaling strategic partnerships that drive product innovation, partner-influenced pipeline, and long-term growth. A former founder and engineer, Ben brings a strong technical foundation and a builder’s mindset, combined with experience across marketing, product partnerships, and go-to-market strategy.

Front-end deployment can embarrass you. Back-end deployment can wake you up at 2:13am. This is where web app deployment stops being about assets and starts being about state, uptime, traffic, and data that absolutely refuses to forget what happened five minutes ago. Back-end deployment is where complexity compounds. Quietly. Patiently. And then all at once. Let's talk about what's actually happening when you "just deploy the API.".

Is it time to migrate your data center applications to the cloud? Get key considerations and a step-by-step migration path. Migrating your on-premises data center to the cloud can seem like a daunting task, from deciding on the right cloud deployment model to ensuring that your network connectivity is secure and scalable. For many companies, the question isn’t whether to migrate, but how to do it efficiently and with minimal disruption.

Enter Hyperview’s sensor-level access control—a revolutionary approach that transforms this dynamic. By enabling granular access to individual sensors within shared environments, Hyperview empowers colocation providers to deliver the visibility their clients need while maintaining strict security and operational simplicity.

Since the Datadog Model Context Protocol (MCP) Server first launched in Preview, Datadog has experienced an overwhelming amount of interest and feedback from customers. We appreciate those who requested access to test our product, provided feedback, and shared their stories of how the MCP Server helped them overcome engineering challenges.

This guest blog post is authored by Nick Vecellio, Principal Engineer and Co-founder of NoBS, a Premier Datadog Partner specializing in hands-on Datadog migrations and optimizations. At NoBS, we help enterprises migrate their observability stack to Datadog. Teams often come to us after a migration has technically “worked,” but the new setup requires optimization tweaks to provide the clarity, reliability, or operational benefits they’re looking for.

Competitor monitoring reports often end up as data graveyards, filled with information nobody acts on. The difference between reports that gather dust and reports that drive decisions comes down to design choices made before the first data point gets collected. To get the most from your competitor monitoring, building a comprehensive and actionable report is key.