Contributed Content
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
3 Keys for Successful Autoscaling Kubernetes
Building resilient applications in Kubernetes means mastering autoscaling. Learn how horizontal, vertical, and event-driven autoscaling (KEDA) approaches help optimize performance, reduce costs, and improve recovery. Join the Kubernetes Autoscaling Deep Dive & ...
Building Cloud-Native Agentic Systems With Dapr Agents
Learn how Dapr agents enable building secure, scalable, cloud-native AI systems with seamless Kubernetes integration, fault recovery, and agentic workflows ...
Siri Varma Vegiraju | | agentic AI, AI automation, AI frameworks, AI orchestration, API integration, cloud computing, cloud-native applications, containerized deployment, Dapr, Dapr actors, Dapr Agents, Dapr workflows, devops, distributed application runtime, distributed systems, event-driven architecture, fault tolerance, Kubernetes integration, microservices, multi-agent systems, OpenAIChatClient, Python agents, RBAC, RoundRobinOrchestrator, scalable infrastructure
Building FinOps With k0rdent Open Source
Learn how open-source k0rdent and KOF enable platform teams to build custom FinOps solutions with predictive cost forecasting and real-time savings insights ...
Satyam Bhardwaj | | AI-driven FinOps, cloud cost optimization, cloud financial management, cloud utilization optimization, cloud-native FinOps framework, cluster cost reduction, FinOps Agent, FinOps pipeline, Grafana dashboards, idle resource detection, k0rdent, k0rdent MultiClusterService, KOF, Kubernetes automation, Kubernetes cost visibility, Kubernetes FinOps, Kubernetes monitoring, Kubernetes observability, Kubernetes scalability, multi-cluster Kubernetes management, open-source FinOps tools, OpenTelemetry, predictive cost forecasting, Prometheus metrics, time series forecasting, TOTO model
Enabling Efficient AI Workloads in Cloud-Native Development using Docker Offload
Docker Offload brings cloud scalability to local development, enabling AI and ML workloads to run on GPU-powered cloud infrastructure seamlessly ...
Naga Santhosh Reddy Vootukuri | | AI Workloads, cloud compute, cloud infrastructure, cloud native AI, cloud offloading, cloud-native development, container builds, container orchestration, developer productivity, DevOps tools, Docker GPU, Docker Offload, GPU acceleration, hybrid workflows, local development, managed service, ML workloads, secure containers, SSH tunnel, VDI environments, virtualization
How AI and Python Can Transform Docker Security and Vulnerability Management
Automate Docker container security with Python. Use Trivy, Clair, and Dockle for CI/CD vulnerability scans and AI-based threat detection in DevSecOps ...
Advait Patel | | AI threat detection, AI-based anomaly detection, automated security scanning, CI/CD security, Clair, container security, containerized application security, DevSecOps automation, Docker image vulnerabilities, docker security, Docker threat detection, Dockle, machine learning in DevSecOps, Python Docker SDK, Python for cybersecurity, Python vulnerability scanner, real-time security monitoring, security in CI/CD pipelines, Trivy, Vulnerability Management
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 ...
What Kubernetes Means for NetOps and CloudOps Teams
Kubernetes at 10 powers most enterprises, but its complexity creates blind spots in networking, security, and troubleshooting. Here’s how IT teams can adapt ...
The Corrupt Algorithm: Securing the AI Supply Chain with Containers
The pipelines are green. The dashboards are clear. Commits are flowing without a hitch. For most DevOps teams, that’s the definition of success: smooth builds, tested deployments, automation firing on all cylinders ...
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 ...

