Operations | Monitoring | ITSM | DevOps | Cloud

In the current landscape of enterprise software delivery, a profound paradox has emerged: as the variety of specialized development tools and cloud services increases, the actual velocity of innovation frequently stagnates. For IT leaders, this phenomenon is known as developer workflow fragmentation. It’s a state where parallel, unstandardized processes create a pervasive "operational drag" that consumes the very agility these tools were intended to provide.

Different incidents need different levels of attention. Some need a phone call at 3 AM and others can wait until morning. Alert Routing rules are what let you act on that understanding without doing it manually every time. An effective routing setup does three things: Getting all three of these working is what makes a routing setup useful.

Speed is exposing the cracks. Our research shows that 69% of heavy AI users now face frequent deployment issues. To capture the ROI of AI, leaders must shift focus from code generation to delivery modernization. standardizing foundations and automating the "manual middle" that leads to developer burnout. Over the last few years, something fundamental has changed in software development.

Your on-call engineer gets paged. A critical service is down. Error rates are spiking. They open Sentry for errors. Flip to Grafana for metrics. Pivot to Kibana to search logs. Then jump to Lumigo, but that only covers the Lambda functions, not the Node.js backend throwing the actual errors. Three tabs become five. Five become eight. Half the incident is gone and your team is still piecing together what happened instead of fixing it. Sound familiar?

A practical discussion with infrastructure leaders on how visibility is shaping cost control, renewal planning, and financial accountability across hybrid environments. Runtime: 41:32 The conversation around infrastructure has shifted. IT teams are no longer measured only on uptime or performance.

This is a guest post from Adrian Tan. Over recent months, we’ve been steadily improving PostgreSQL monitoring in Redgate Monitor, with a singular focus: to help Postgres users diagnose performance problems faster, with less manual investigation. The latest updates and new features tackle this problem in a few different ways.

Harness Database DevOps integrates Open Policy Agent (OPA) to enforce database governance through policy as code. By embedding compliance rules directly into CI/CD pipelines, teams can automatically prevent risky database changes, maintain audit trails, and meet regulatory requirements without slowing down development. Database systems store some of the most sensitive data of an organization such as PII, financial records, and intellectual property, making strong database governance non-negotiable.