CI/CD
Red Hat Expands OpenShift Application Development Environment
Red Hat this week added a bevy of additional capabilities to its OpenShift platform, including adding support for live migration of virtual machines and making generally available a set of hardened container ...
OWASP Has Adopted DockSec and the Cloud Security Community Is Taking Notice
With more than 13,000 downloads across more than 40 countries, DockSec has earned its place as an OWASP Incubator Project by doing something most container security tools have not managed: closing the ...
Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility
Kubernetes v1.36 (Spring 2026) introduces 70 enhancements, including major security hardening for the Kubelet API and the debut of Workload-Aware Scheduling (WAS) for AI/ML. This release focuses on fine-grained resource health, stable ...
Adrian Bridgwater | | AI/ML Infrastructure, CI/CD, cloud native security, cloud-native applications, Cluster Hardening, container security, containers, CSI Token Redaction, developers, Distributed Training, DRA, Dynamic Resource Allocation, External Token Signing, Gang Scheduling, K8s v1.36, Kubelet API Authorization, kubernetes, Kubernetes Enhancements 2026., Kubernetes v1.36, microservices, Node Logs, open source, PodGroup API, Resource Health Status, storage, Volume Group Snapshots, WAS, workload-aware scheduling
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 “who owns this?” moments. Eilon Elhadad, co-founder and CTO of Echo, talks ...
Why Secure-by-Design CI/CD Matters in Cloud-Native Systems
CI/CD pipelines are a core part of modern cloud-native systems. They help teams build, test and deploy software quickly. In the past, CI/CD was mainly about automation and speed. Today, it is ...
How Containerization Enhances Enterprise Mobile App Deployment?
Containerization is revolutionizing enterprise mobile app deployment by improving speed, consistency, scalability, and security. Learn how containers streamline CI/CD pipelines, enhance collaboration, reduce costs, and ensure reliability across environments for modern, cloud-native ...
Arun Goyal | | 5G, AI integration, app deployment, automation, CI/CD, cloud infrastructure, consistency, container security, containerization, devops, digital transformation, docker, edge computing, enterprise mobile apps, kubernetes, microservices, mobile development, orchestration, scalability, security
It Worked Last Tuesday: What Operators Teach Us About Platform Reality
Infrastructure as code defined the cloud era, but Kubernetes operators are redefining how DevOps keeps systems reliable. Instead of “apply and hope,” operators continuously reconcile reality with intent — automating change, reducing ...
Avery Pennarun | | Atlanta, automation, CI/CD, cloud infrastructure, cloud native, cloud operations, CloudNativeCon 2025, cluster management, configuration management, continuous delivery, control loops, declarative infrastructure, DevOps automation, DevOps culture, GitOps, IaC, infrastructure as code, intent-based automation, KubeCon 2025, kubernetes, kubernetes best practices, Kubernetes controller, Kubernetes operators, Kubernetes reconciliation loop, microservices, observability, operational excellence, operator pattern, platform engineering, platform stability, reconciliation, resilience engineering, self-healing systems, service reliability, SRE
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 ...
Curved Kubernetes: Microsoft Workload Orchestration in Azure Arc
Microsoft has confirmed the release and general availability of “workload orchestration” as a new service in Azure Arc, the company’s extension mechanism that enables Azure cloud management capabilities to work outside Azure ...
Advanced DevOps for AI: Continuous Delivery of Models Using Jenkins and Docker
Learn how to automate the continuous integration/continuous delivery (CI/CD) pipeline for machine learning (ML) models using Jenkins, Docker and Kubernetes ...

