Cloud-Native Development
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 ...
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 across Kubernetes clusters, enabling scalable GitOps-driven operations with greater efficiency and resilience ...
LLMs & Kubernetes Configuration: Automating Hardening, Drift Detection and Policy Enforcement
Kubernetes misconfigurations remain the top security risk. AI copilots promise automated hardening, drift detection, and policy enforcement to make clusters safer ...
Alan Shimel | | admission controllers, AI copilots, AI in Kubernetes, cloud native security, cncf, drift detection, GitOps, KubeGuard, kubernetes, Kubernetes governance, kubernetes hardening, Kubernetes misconfiguration, Kubernetes security, Kyverno, large language models, LLMs, OPA, OpenTelemetry, platform engineering, RBAC, YAML Jenga
Bridging Observability & Security in Kubernetes: Beyond Just Metrics
Kubernetes has expanded agility but also the attack surface. Alan argues that observability and security can no longer live in silos — metrics, logs, and traces already hold critical security signals, while ...
Alan Shimel | | anomaly detection, C2 traffic, cloud native security, convergence, cross-training, crypto-mining, devops, kubernetes, lateral movement, logs, metrics, observability, observability-driven security, OpenTelemetry, organizational silos, platform engineering, runtime security, security, SRE, tool sprawl, traces
GitOps at Fleet Scale: Decentralization vs. Control
Alan unpacks Red Hat’s agent-based GitOps architecture for OpenShift and what it means for scaling GitOps across fleets of Kubernetes clusters. From central control to decentralized agents, discover how balance drives the ...
eBPF: The Silent Power Behind Cloud Native’s Next Phase
eBPF is quietly reshaping cloud native computing, powering service meshes, observability, networking, and security directly in the Linux kernel. By reducing sidecar overhead, enabling zero-instrumentation telemetry, and enhancing runtime protection, eBPF is ...
Alan Shimel | | Cilium eBPF, cloud native 2.0, eBPF, eBPF in DevOps, eBPF networking, eBPF performance monitoring, eBPF security, extended Berkeley Packet Filter, Falco eBPF, Istio Ambient Mesh eBPF, kernel-level programmability, Kubernetes eBPF, Linux kernel observability, Pixie observability, service mesh without sidecars, Tetragon runtime security, zero-instrumentation observability
Fitting Square Kubernetes Into the Round AI-Native Apps
Kubernetes tamed cloud-native workloads, but AI-native apps push its limits. Can it evolve for GPU-first, data-intensive AI — or is it time for new control planes? ...
Alan Shimel | | AI control plane, AI infrastructure, AI pipelines Kubernetes, AI-native applications, cloud-native vs AI-native, container orchestration AI, distributed training orchestration, GPU scheduling, inference at scale, internal developer platforms, Kubeflow, KubeRay, kubernetes, Kubernetes AI workloads, Kubernetes future, Kubernetes limitations, Kubernetes vs AI, platform engineering, Ray on Kubernetes, Volcano scheduler

