Topics
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 ...
Carol Byrne | | 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
How Cloud-Native Platforms are Improving Global Supply Chain ResilienceÂ
Discover how cloud-native, API-driven platforms improve global supply chain resilience through real-time visibility, elasticity, decentralization and embedded analytics ...
Carl Torrence | | API-driven logistics, cloud-native logistics, cloud-native supply chain, containerized supply chain systems, cross-border fulfillment technology, decentralized architecture supply chain, elastic digital infrastructure, embedded analytics logistics, global logistics monitoring, global supply chain resilience, international shipping technology, logistics automation cloud, logistics visibility, microservices logistics, predictive supply chain analytics, real-time tracking IoT, supply chain cybersecurity, supply chain digital control tower, supply chain scalability, supply chain uptime
Measuring AI-Driven Automation: The Metrics That Prove Whether Your Platform is Actually Getting SmarterÂ
AI is reshaping cloud-native operations, but old automation metrics mislead. Learn the modern KPIs—MTTR, action quality, autonomy and cognitive load reduction ...
Ankush Dhar | | agentic AI systems, AI action quality, AI automation metrics, AI cloud operations, AI governance metrics, AI incident response, AI-driven reliability engineering, AIOps performance metrics, autonomous remediation, cloud cost optimization AI, cloud native AI, cloud platform automation, cloud-native automation KPIs, cognitive load reduction SRE, explainable AI operations, false action rate, MTTR reduction, operational intelligence, predictive incident prevention, SRE automation
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 ...
Mastering AKS: Performance, Security and Cost Optimization in the CloudÂ
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
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
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 ...

