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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
How Cloud-Native Platforms are Improving Global Supply Chain Resilience
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 Smarter
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
Akamai Acquires Fermyon to Further Advance Wasm Adoption
Akamai Technologies this week acquired Fermyon to add a serverless computing framework for building and deploying Web Assembly (Wasm) applications to its portfolio. Akamai and Fermyon formed an alliance earlier this year ...
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

