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  1. Adaptive alerting: faster, better insights with the new metrics forecasting UI in Grafana Cloud

    Ditch reactive alerting! Discover how Grafana Cloud's new metrics forecasting UI enables proactive, adaptive alerting, letting you fine-tune models in real-time, anticipate problems before they strike, and automatically account for seasonality and holidays—all now available for free!

  2. Prometheus data source update: Redefining our big tent philosophy

    Grafana is redefining its "big tent" philosophy! Discover how purpose-built data sources, like the new plugins for Amazon Managed Service for Prometheus and Azure Monitor Managed Service for Prometheus, enhance interoperability and cater to specific cloud use cases, empowering users to centralize observability without sacrificing vendor neutrality or functionality.

  3. Docker Container Logs: How to View & Manage

    Easy access to Docker container logs is essential for effective development and debugging. This guide explores how to view and manage Docker logs using the docker logs command, Docker Compose, and Docker Desktop. It also covers where logs are stored, how to clear them, and best practices for centralized logging, log rotation, and structured output. Whether you're just starting with Docker or optimizing a production setup, this article will help you tailor container observability to your needs.

  4. Achieving Sovereign AI with the JFrog Platform and NVIDIA Enterprise AI Factory

    Unlock Sovereign AI! Discover how the powerful collaboration between JFrog and NVIDIA delivers secure, scalable, and compliant AI. Learn how they enable enterprises to build, manage, and deploy AI models from development to edge, ensuring full control over data, models, and infrastructure.

  5. Spotting Spear Phishing: A Business Cybersecurity Guide

    Don't get speared! Discover how targeted phishing attacks can devastate businesses and learn to spot subtle deceptions used by cybercriminals. This guide reveals how attackers gather info, craft convincing messages, and offers essential prevention tips, including how Netmaker boosts network protection.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

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