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edge, containers, containerization, containers, Edara, Buildpacks, container, dockerfiles, time, containers, security, and, Docker, DevOps, docker containers, python, add-ons, kubernetes, Chainguard Docker container Stormforge Azure containers Microsoft New Relic Java Kublr platform Containers on Azure

Mastering AKS: Performance, Security and Cost Optimization in the Cloud

Master Azure Kubernetes Service (AKS) with best practices for performance, security, cost optimization, GitOps, and enterprise-grade operations. A complete guide for DevOps teams ...

Yash Kant Gautam | November 21, 2025 | AKS best practices, AKS cost optimization, AKS observability, AKS production deployment, AKS troubleshooting guide, Azure AD RBAC, Confidential computing AKS, enterprise Kubernetes, GitOps with Flux, KEDA autoscaling, Key Vault CSI driver, Kubernetes chaos engineering, Kubernetes cost reduction, Kubernetes node pool strategy, Kubernetes performance optimization, Kubernetes security, Predictive autoscaling AKS

From Chaos to Control: Managing Kubernetes Add-Ons at Scale

Learn how to manage Kubernetes add-ons at scale with better visibility, drift detection and automation to improve reliability and performance ...

Danielle Inbar | November 20, 2025 | cloud native, devops, kubernetes, observability, platform engineering

Observability for Microservices vs Monoliths: Strategies that Worked in 2025

Learn how observability strategies differ between monolithic and microservice architectures. Explore challenges, best practices and tooling for DevOps and SRE teams in 2025 ...

Neel Shah | November 20, 2025 | AI-driven observability, centralized logging, DevOps observability strategies, distributed tracing, dynamic infrastructure observability, Grafana Honeycomb Middleware, microservices monitoring, microservices vs monoliths, monolith performance monitoring, observability, observability tools 2025, OpenTelemetry, scalable telemetry ingestion, service metrics, smart alerting, SRE best practices, telemetry data, tracing context propagation

kubernetes, survey, Dapr, CNCF, Survey Finds Growing Container Security Concerns

Survey Surfaces Myriad Kubernetes Networking Challenges

New survey data shows Kubernetes networking complexity rising, with teams struggling across observability, egress, multi-cluster security, and tool sprawl—highlighting the growing need for platform engineering and unified networking approaches ...

Mike Vizard | November 17, 2025 | cloud-native networking, container networking, debugging, devops, eBPF, egress control, Kubernetes clusters, Kubernetes networking, Kubernetes security, load balancing, microservices, multi-cluster networking, network management complexity, network transparency., observability, platform engineering, SRE

NVIDIA’s ComputeDomains Aims to Simplify Multi-Node NVLink for Kubernetes

NVIDIA is pushing deeper into the world of high-performance AI infrastructure, unveiling a Kubernetes-native abstraction called ComputeDomains that promises to simplify a major difficulty in today’s AI development: enabling secure, high-bandwidth GPU communication across ...

James Maguire | November 14, 2025

Prometheus, kubernetes, CNCF Promotes Prometheus Container Monitoring

Open Source KServe AI Inference Platform Becomes CNCF Project

The CNCF adopts KServe to strengthen cloud-native AI inference on Kubernetes as platforms like Red Hat OpenShift AI expand model-as-a-service capabilities ...

Mike Vizard | November 13, 2025 | AI gateway, AI inference on Kubernetes, AI model registry, Cloud Native Computing Foundation, CNCF incubator, Edge AI deployment, KServe, KubeCon + CloudNativeCon 2025, Kubeflow, Kubernetes AI workloads, LLM serving on Kubernetes, Model-as-a-service, vLLM

kubernetes, network, logistics, security, Traefik Tigera container security Calico Red Hat Dynatrace

Google Extends Kubernetes Service to Safely Run Agentic AI Workloads

At KubeCon + CloudNativeCon North America 2025, Google unveiled major GKE upgrades — including an AI sandbox, inference gateway, pod snapshots, and 130,000-node clusters — to optimize and secure agentic AI workloads ...