FEATURES

Video Interviews

Autonomous Patching for Cloud-Native Workloads

Autonomous Patching for Cloud-Native Workloads

|
The cloud-native stack didn’t make security go away—it just spread it across more layers, more repos, more images, and more ...
KubeCon, cloud native, ai, cloud-native,

From Cloud First to Cloud Fit: Rethinking Where Workloads Belong

|
Induprakas “Indu” Keri explores why organizations are increasingly shifting from a cloud-first mindset to a cloud-fit strategy as containerized applications ...

LATEST FROM DEVOPS.COM

Low-Code’s New Frontier: Tailored Solutions for Each Industry

For years, most low-code platforms have focused on one primary challenge: efficiency. The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering non-developers, and enabling apps to be created in just a few clicks. That focus delivered real value, but it’s no longer enough. Today, […] [...]

The Risk Profile of AI-Driven Development 

Analysis arguing that AI-driven code generation accelerates dependency decisions and expands supply-chain risk, requiring shift-left governance, prompt-level controls, automated SBOM/AIBOM visibility, threat-modeling as engineering, and autonomous security to match autonomous development. [...]

How eBPF and OpenTelemetry Have Simplified the Observability Function 

Overview arguing that OpenTelemetry eBPF Instrumentation (OBI) — combined with OpenTelemetry Injector — removes barriers to full observability by enabling zero-code, kernel-level telemetry for Kubernetes and Linux environments, solving language, legacy, and security challenges. [...]