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  1. The ten pillars of pragmatic deployments

    Unlock the secrets to flawless software delivery! Explore the "10 Pillars of Pragmatic Deployments" that ensure repeatability, visibility, and auditability. Learn how to master rolling forward, standardize processes, and coordinate releases for robust, high-performing software pipelines.

  2. Stack Overflow Uses Config as Code in Octopus for its Enterprise Solution

    Stack Overflow adopted Octopus Deploy to streamline and scale its enterprise software delivery using tenanted deployments, automation, and Configuration as Code. By integrating application code, build, and deployment processes in a single GitHub repo, the team improved CI/CD efficiency, enabled better collaboration through pull requests, and reduced deployment times across multiple customers. Octopus's Azure support, API flexibility, and excellent customer service empowered Stack Overflow to standardize and mature its DevOps practices.

  3. Five Reasons Standalone Vulnerability Scanning Isn’t Enough in 2025

    Vulnerability scanning alone doesn’t cut it anymore. While it’s long been a core security practice, scanning tools can’t tell you which vulnerabilities are exploitable, how attackers would target them, or which ones pose real risk. This article explores the limitations of vulnerability scanning, the shortfalls of traditional vulnerability management, and why organizations must adopt a risk-based, context-driven approach to application security. Learn how to prioritize based on exploitability, integrate security across the SDLC, and move toward continuous, intelligent threat detection.

  4. 5 Smart API Gateway Strategies to Unlock Developer Productivity

    Discover how leading platform teams are redefining the developer experience through modern API gateway practices. This article explores five core strategies—ranging from zero-friction onboarding to AI API governance—that empower developers, streamline operations, and reinforce security and observability. Learn how tools like Traefik Labs are helping organizations transform their API gateways into powerful productivity engines, all while maintaining control, resilience, and scalability in today’s cloud-native and AI-driven landscape.

  5. Is It Time to Migrate? A Practical Look at Kubernetes Ingress vs. Gateway API

    Still battling Kubernetes Ingress complexities? Discover why it's time to migrate! This guide unpacks the limitations of traditional Ingress and reveals how the Kubernetes Gateway API, implemented by Calico Ingress Gateway with Envoy proxy, offers a standardized, role-aware, and feature-rich solution for secure, streamlined traffic management.

  6. Who's in Charge, The Shared Responsibility Model for API and AI/ML Model Versionin

    As AI adoption accelerates, managing APIs and ML models at scale is no longer just a technical concern—it's a strategic imperative. This article explores the "Shared Responsibility Model," a forward-thinking approach that bridges MLOps and APIOps using Kubernetes-native tools. Discover how modern organizations are scaling AI safely, maintaining API stability, and accelerating innovation by aligning API management platforms with ML serving systems.

  7. Why we need a unified approach to Kubernetes environments

    Tired of Kubernetes networking chaos? Discover why fragmented tools lead to operational overhead, hidden costs, and security gaps. Learn how a unified approach to Kubernetes networking and security eliminates tool sprawl, enhances threat detection, and drives better outcomes for your modern applications.

  8. AI Gateways: The Missing Piece in Scalable & Responsible AI Inferencing

    As AI adoption scales, traditional gateways fall short of meeting enterprise demands for performance and governance. This article explores how AI gateways enhanced with semantic caching and content guard are reshaping the infrastructure for responsible and scalable AI deployment. From cutting inference costs to enforcing compliance across data center and edge environments, discover how a code-first approach to managing these intelligent gateways enables consistent, high-performance, and secure AI delivery across any architecture.

  9. 7 Critical API Protection Strategies to Fortify Your API Security

    As APIs power more of today’s digital services, they’ve become prime targets for attackers. Shocking data shows over 50% of APIs use no encryption or authentication, leaving businesses wide open to breaches. This article outlines seven critical strategies—from enforcing encryption and strong authentication to blocking zombie APIs and centralizing key management—that form a robust, multilayered defense. Learn how to reduce your attack surface, secure sensitive data, and protect API-driven systems from modern threats.

  10. Troubleshooting Kubernetes with AI: Using the K8s MCP server

    Unlock AI-powered Kubernetes troubleshooting! Discover the Model Context Protocol (MCP) and how it standardizes AI agent interactions with Kubernetes tools like kubectl, Helm, and ArgoCD. Learn how to integrate K8s MCP Server with agentic frameworks like PydanticAI for seamless, context-rich cluster management.

  11. DevOps and Platform Engineering

    DevOps brought developers and operations together to improve software delivery speed and reliability. Now, Platform Engineering builds on that foundation—enabling development teams with self-service tools, golden pathways, and smoother workflows. This article explores how Platform Engineering complements DevOps, supports scale without sacrificing autonomy, and helps high-performing teams reduce complexity while boosting productivity.

  12. Why Policy as Code is a Game Changer for Platform Engineer

    Platform engineers, revolutionize your game! Discover why Policy as Code (PaC) is the ultimate game-changer for building scalable, secure, and efficient internal developer platforms. Learn how PaC empowers developers with faster feedback, ensures secure self-service, automates governance, and fortifies your security posture effortlessly.

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