Contributed Content Archives

TLS, certificates, Docker, vulnerabilities, supply chain, KubeCon, SigStore, Kubernetes TrapX container security

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 ...

metrics, agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

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 ...

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

How Containerization Enhances Enterprise Mobile App Deployment?

Containerization is revolutionizing enterprise mobile app deployment by improving speed, consistency, scalability, and security. Learn how containers streamline CI/CD pipelines, enhance collaboration, reduce costs, and ensure reliability across environments for modern, cloud-native ...

SRE High-Level History of the Container Ecosystem

How SREs are Using AI to Transform Incident Response in the Real World

Traditional incident response can’t keep pace with today’s complex, multi-cloud environments. Discover how AI-augmented SRE frameworks reduce MTTR, automate remediation, and strengthen reliability through a five-stage maturity model and modular architecture powered ...

Manvitha Potluri | November 5, 2025 | AI incident response, AI operations, AIOps, anomaly detection, autonomous remediation, cloud native, DevOps automation, event correlation, feedback-driven automation, intelligent observability, MTTR reduction, multi-cloud, observability, reliability engineering, root cause analysis, site reliability engineering, SLA compliance, SRE

Prepare for the Second Wave of Container Management

There’s no doubt that containers bring big advantages to the enterprise IT departments, particularly when it comes to simplifying work for application developers. Unfortunately, that simplicity doesn’t always translate to the operations ...

Lee Caswell | October 29, 2025 | application development, container management, kubernetes

Why Kubernetes is Great for Running AI/MLOps Workloads

Kubernetes has become the de facto platform for deploying AI and MLOps workloads, offering unmatched scalability, flexibility, and reliability. Learn how Kubernetes automates container operations, manages resources efficiently, ensures security, and supports ...

GPU Resource Management for Kubernetes Workloads: From Monolithic Allocation to Intelligent Sharing

AI and ML workloads in Kubernetes are evolving fast—but traditional GPU allocation leads to massive waste and inefficiency. Learn how intelligent GPU allocation, leveraging technologies like MIG, MPS, and time-slicing, enables smarter, ...