Kubernetes
Ten Common Kubernetes Misconfigurations That Cause Outages (And What You Can Do About It)
Learn the most common Kubernetes misconfigurations—like missing limits, probes, and AZ redundancy—and how to prevent outages in cloud-native systems ...
Andre Newman | | Availability Zones, cloud-native infrastructure, cluster management, container orchestration, CPU and memory limits, CrashLoopBackOff, devops best practices, ImagePullBackOff, KubeCon 2025, kubernetes, Kubernetes misconfigurations, Kubernetes outages, Kubernetes reliability, Kubernetes troubleshooting, liveness probes
The Symbiotic Relationship of Cloud Foundry and the Cloud Native Ecosystem
Cloud Foundry evolves by integrating CNCF projects like Crossplane, OpenCost, and Headlamp to boost flexibility, cost transparency, and developer productivity ...
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 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
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
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

