DevOps in the Cloud-Native Era: The Blueprint for Blazing-Fast Software Delivery
Cloud-native and DevOps are now non-negotiable for scaling software delivery. Learn how CI/CD, IaC, GitOps, observability, and AI shape modern DevOps success.
FEATURES
Sidero Labs to Extend Scope of Talos Linux Platform for Kubernetes
Sidero Labs plans to add an ability to deploy applications to the Omni management framework it provides for Talos Linux, ...
Kubernetes or Chaos: The Risks of Running AI Workloads Without Orchestration
When AI environments aren’t orchestrated, the result is GPU waste, job starvation, dependency conflicts, and runaway cloud bills. It’s like ...
Why Docker Matters for Data Science
Docker containers make data science projects portable and reliable, eliminating version conflicts and missing libraries and making it easy for ...
Runtime Visibility & AI-powered Security in Cloud-Native Environments
Kubernetes and cloud-native platforms have transformed software delivery — but also redefined the attack surface. As threats shift to runtime, ...
Akuity Applies AI to Both Management of ArgoCD and Kubernetes Clusters
Akuity has infused AI into its ArgoCD platform to help IT teams detect degraded states, triage incidents, and automate fixes ...
Video Interviews
Virtual Kubernetes Clusters Gain Automated Node Management
As Kubernetes adoption grows, organizations are increasingly turning to virtual clusters to cut costs and improve resource utilization. vCluster Labs ...
How AIOps Is Transforming Observability in Cloud-Native Environments
Varma Kunaparaju, Senior Vice President/GM, Cloud Platform & OpsRamp at HPE, explains how artificial intelligence for IT operations (AIOps) is ...
CLOUD-NATIVE DEVELOPMENT
CLOUD-NATIVE PLATFORMS
Cloud Native’s Two‑Headed Monster
Kubernetes brought order to containers. Observability brought clarity to complexity. Now, they’re co-leading the cloud-native movement—and redefining the CNCF ecosystem.
CLOUD-NATIVE SECURITY
Runtime Visibility & AI-powered Security in Cloud-Native Environments
Kubernetes and cloud-native platforms have transformed software delivery — but also redefined the attack surface. As threats shift to runtime, visibility and real-time response have become the new security frontline. AI-driven anomaly detection, automated response, and contextual enrichment are helping teams cut through the noise, but trust, explainability, and human oversight remain critical. The future of cloud-native defense lies in human–AI collaboration at runtime.
CLOUD-NATIVE NETWORKING
Most Cloud-Native Roles are Software Engineers
Cloud-native job market 2025: Software Engineers dominate at 47%, followed by DevOps, Platform Engineers, and SREs. See role trends and insights.
LATEST FROM DEVOPS.COM
I’ve spent most of my career in infrastructure and reliability engineering, from years as an SRE at Google to leading teams at Facebook and now building Spacelift. Along the way, I’ve watched entire paradigms rise and fall, seen technologies mature, and learned some hard lessons about where DevOps and security meet—and where they clash. The […] [...]
A survey of 1,129 developers and 50 project managers suggests that individual developers are significantly further ahead when it comes to embracing AI than managers of application development projects. Conducted by BairesDev, a provider of software development services, the application developers surveyed said they are now saving on average 7.3 hours of work per week, […] [...]
OpenAI recently released Developer Mode for ChatGPT, and it’s not for everyone. This beta feature provides full Model Context Protocol (MCP) client support, granting complete access to both read and write operations across your connected tools. But here’s what you need to understand up front: this is powerful, and it’s dangerous. What Developer Mode Actually […] [...]
