Social – LinkedIn
What I’m Thankful for in Cloud Native This Year: A Community That Keeps Building the Future
Alan reflects on a turbulent but triumphant year in cloud native, celebrating the CNCF and Linux Foundation’s stewardship, Kubernetes’ continued maturity, OpenTelemetry’s breakout moment, open-source collaboration, and the rise of platform engineering—while ...
vCluster Adds Virtual Kubernetes Reference Architecture for GPUs
vCluster Labs has made available a reference architecture for incorporating graphical processor units (GPUs) running artificial intelligence (AI) workloads into virtual Kubernetes clusters. Company CEO Lukas Gentele said the Infrastructure Tenancy Platform ...
Cloud Native Doesn’t Have to Mean Cloud-Frustrating
The story of modern enterprise IT is essentially one long series of trade-offs. We chased cloud-native architecture because we needed speed and scale. We broke monolithic applications into a sprawl of microservices ...
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 | | 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 ...
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 | | 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
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 | | 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 ...
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 ...
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 ...

