The Copilot app cannot be removed arbitrarily. Three cumulative conditions apply: Microsoft 365 Copilot must also be installed on the device, the Copilot app must not have been installed by the user themselves, and the app must not have been launched in the past 28 days.
Generative AI is dissolving the economic logic that made standardized enterprise software the only practical choice for most companies. What replaces it will be shaped not just by the rapidly evolving capabilities of this new technology, but by leaders willing to ask a harder question: Which workflows do we actually need to own?
A Common Vulnerability Exposure (CVE) that cannot reach the privilege plane is operationally ineffective - even at a CVSS Score of 10. This should be a core philosophy that is embedded into the fabric of software engineering.
Red Hat OpenShift on Google Cloud Dedicated is designed to address several key pillars of digital sovereignty: data residency, technological autonomy, and supply chain resilience. With isolated infrastructure, it must comply with regulations such as the GDPR and regional sovereignty rules.
Managing AI spending has become commonplace. Two years ago, 31 percent of organizations managed AI spending; today, 98 percent do. This is according to research by the FinOps Foundation. It shows that FinOps has definitively shifted from pure cloud management to broad technology value management. AI cost management is now a top priority, while AI value management is the most sought-after skill within teams.
For years, reliability discussions have focused on uptime and whether a service met its internal SLO. However, as systems become more distributed, reliant on complex internet stacks, and integrated with AI, this binary perspective is no longer sufficient. Reliability now encompasses digital experience, speed, and business impact. For the second year in a row, The SRE Report highlights this shift.
Support for distributed systems. Check how well the tool handles microservices, serverless, and Kubernetes. Can you follow a request across services, queues, and third-party APIs? Does it understand pods, nodes, clusters, and autoscaling events, or does it treat everything like a static host? Correlation across metrics, logs, and traces. In an incident, you shouldn't be copying IDs between tools. Look for the ability to pivot directly from a slow trace to relevant logs,
