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  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Automatic Rollbacks are a Last Resort

    Automatic rollbacks might sound like a safe fallback for failed deployments, but modern software delivery tells a different story. This article explores why human-driven resilience, Continuous Delivery, and progressive delivery strategies are far more effective. Learn how deploying in small batches, using canary or blue/green strategies, and leveraging feature flags can help you respond smarter—and faster—when things go wrong.

  8. 10 Reasons Why Kubernetes Users Choose Kyverno Over OPA/Gatekeeper

    Tired of complex Kubernetes policy enforcement? Discover 10 compelling reasons why Kyverno, the Kubernetes-native alternative, is outperforming OPA/Gatekeeper. Learn how its simplified YAML policies, powerful mutation, and built-in generation capabilities empower DevOps for effortless security and compliance.

  9. Beyond skeleton pipelines: who owns your software pipeline?

    Are your "skeleton pipelines" secretly killing your velocity? Discover the hidden cost of an "ownership vacuum" in software delivery, wasting precious dev hours. Learn why treating pipelines as a product, not an afterthought, is crucial for improving efficiency, reducing technical debt, and making every deployment a smooth success.

  10. 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.

  11. 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.

  12. 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.

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