A passing test in a monolith traditionally offered a relatively straightforward signal. The code behaved as expected under the conditions tested. The function produced the expected output. The integration with the database worked. The deployment was probably safe within those limits. A passing test in a cloud-native system can offer
Red Hat today at the KubeCon + CloudNativeCon North America 2026 conference revealed it has extended its OpenShift platform to add multiple artificial intelligence (AI) capabilities, including a built-in Model Context Protocol (MCP) server. Additionally, Red Hat has extended the Lightspeed AI tools it provides to include an AI agent
A cloud security alert can flag unusual activity on a workload, but the alert alone may not tell an analyst how much damage an attacker could cause. A workload with permission to access sensitive storage or assume an administrative role presents a greater risk if compromised than one with limited
Cloud-native infrastructure has changed the way organizations think about resilience. Kubernetes can restart failed containers, replace pods, schedule workloads on healthy nodes and help applications recover from failures that once required manual intervention. That is real progress. But there is a difference between keeping workloads running and keeping infrastructure recoverable.
