Kubernetes
Kubernetes v1.35 Arrived, Right On Workload-Aware Schedule
Discover the latest enhancements in Kubernetes workload scheduling, including the Workload API and gang scheduling features aimed at optimizing application performance and management ...
Adrian Bridgwater | | autoscaling, cloud-native applications, Dynamic Resource Allocation, Gang Scheduling, kubernetes, Kubernetes v1.35, Multi-Node Scheduling, Opportunistic Batching, Performance Optimization, Pod Management, resource allocation, Scheduling Algorithms., Scheduling Improvements, Scheduling Latency, software engineering, Workload API, Workload Scheduling
Running Kubernetes in Production: Practical Lessons From the Field
Kubernetes has become the de facto platform for running containerized workloads at scale. While spinning up a cluster is relatively straightforward, operating Kubernetes reliably in production is far more challenging. Teams often ...
Implementing CI/CD for Cloud-Native Applications the Right Way
Learn how to implement CI/CD for cloud-native applications the right way with immutable builds, container-native testing, declarative deployments and progressive delivery ...
Khushi Jitani | | Argo CD GitOps, CI/CD for microservices, CI/CD metrics DORA, CI/CD pipeline reliability, CI/CD security scanning, cloud-native CI/CD, cloud-native DevOps, cloud-native release engineering, configuration drift prevention, container-native testing, continuous delivery Kubernetes, declarative deployments Kubernetes, DevOps pipeline optimization, GitOps pipelines, IaC validation CI/CD, immutable build artifacts, Kubernetes CI/CD best practices, Kubernetes deployment automation, Kubernetes rollout testing, microservices deployment strategies, progressive delivery canary blue-green
Cost-Aware Observability on K8s: Balancing Scrape Intervals, Retention and Cardinality
Learn how to optimize Kubernetes observability with cost-efficient scrape intervals, retention policies and cardinality control using Prometheus, Thanos and Cortex ...
Neel Shah | | cloud-native observability, Cortex long-term storage, cost-aware Kubernetes observability, efficient metric storage, high cardinality metrics, Kubernetes cost optimization, Kubernetes logging and tracing, Kubernetes metrics management, Kubernetes monitoring optimization, Kubernetes performance monitoring, Kubernetes SRE practices, low-cost monitoring, metric cardinality reduction, metric retention policies, observability best practices, Prometheus cost control, Prometheus relabel configs, Prometheus scrape intervals, scrape interval tuning, Thanos downsampling
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
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
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 ...
CNCF Launches Initiative to Update Helm Package Manager
The Cloud Native Computing Foundation unveils Helm 4.0 at KubeCon + CloudNativeCon 2025, introducing WebAssembly-based extensibility, improved APIs, Go-based logging, and server-side apply for Kubernetes environments ...
Mike Vizard | | Cloud Native Computing Foundation, CloudNativeCon, cncf, container orchestration, DevOps tools, Go language support, Helm API modernization, Helm logs, Helm plugins cross-platform, HelmDev meeting, KubeCon 2025, kubernetes, Kubernetes deployments, Kubernetes management tools, Kubernetes operators, Kubernetes packaging, open source Helm, package manager, server-side apply, SUSE, Wasm, WebAssembly
CNCF Adds Program to Standardize AI Workloads on Kubernetes Clusters
CNCF introduces the Certified Kubernetes AI Conformance Program to standardize AI and ML workload deployment, ensuring interoperability and sovereign cloud compliance ...
Mike Vizard | | AI deployment, AI infrastructure, AI on Kubernetes, AI portability, AI scalability, AI Workloads, Certified Kubernetes AI Conformance Program, cloud native AI, cloud-native ecosystem, CloudNativeCon, cncf, data science, hybrid cloud, IT operations, KubeCon 2025, kubernetes, Kubernetes certification, Kubernetes conformance, Kubernetes interoperability, Kubernetes standards, ML deployment, ML frameworks, ML workloads, sovereign cloud

