kubernetes

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, a lightweight distribution of Linux that includes an instance of Kubernetes that ...

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 running a data center without a traffic controller—everything eventually collides. Most organizations ...

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 ...
Alan Shimel | | AI copilot, AI governance, AI in cybersecurity, anomaly detection, automated response, CI/CD security, cloud native security, cloud security, cloud-native defense, container security, DevSecOps, explainable AI, kubernetes, LLMs in security, observability, platform engineering, runtime protection, runtime security, runtime visibility, security automation, security telemetry, service mesh, threat detection, zero-trust

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 ...

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

Stateful Microservice Migration & the Live-State Challenge in Kubernetes
Alan argues that Kubernetes can’t ignore state any longer. While stateless apps fit the original vision, real-world workloads — from databases to AI pipelines — demand continuity. A new research framework, MS2M ...
Alan Shimel | | AI/ML pipelines, blue/green deployment, canary releases, cloud portability, cncf, CRIU, Data Sovereignty, day-two operations, disaster recovery, forensic container checkpointing, hybrid cloud, kubernetes, live migration, MS2M, multi-cluster, platform engineering, resilience, service mesh, Stateful Workloads, stateless vs stateful

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

Cost-Effective Reliability: Making Sense of Multi-Zone Kubernetes
Look around the ‘net and you’re likely to see Kubernetes operators worrying about how to keep their applications up even in the face of failures but also worrying about the cost of ...

Security Tool Sprawl: The New Breach Vector for Cloud Native
“More is better” has always been a dangerous assumption in tech. In security, it’s downright reckless. Across the cloud-native ecosystem, organizations are drowning in their own defenses: dozens of overlapping tools, agents, ...