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  1. GitOps vs. DevOps: Key Differences Explained

    GitOps and DevOps are often seen as interchangeable, but they serve distinct purposes within the software delivery lifecycle. This article breaks down their differences, tools, workflows, and where they overlap. Learn how GitOps focuses on infrastructure automation using Git as the source of truth, while DevOps represents a broader cultural shift aimed at collaboration and continuous delivery. Discover how combining both approaches can streamline development, enforce consistency, and boost deployment reliability.

  2. Zero Trust Authorization for Non-Human Identities: A Deep Dive with Cerbos' Alex Olivier

    Explore non-human identity growth with Cerbos’ CPO Alex Olivier. Learn how Cerbos empowers zero-trust, real-time authorization for AI agents, IoT devices, and workloads.

  3. Beyond Compliance: Neil Levine Reveals How Anchore is Revolutionizing SBOM Management

    Explore SBOM evolution with Anchore’s Neil Levine, uncover new features, security insights, vulnerability ranking, and strategies to manage SBOM sprawl and future automation.

  4. CNAPP, eBPF, and Beyond: How Sweet Security Delivers Runtime-First Cloud Protection

    Discover how Sweet Security’s eBPF-powered runtime protection and LLMs are revolutionizing CNAP, slashing response times, eliminating false positives, and securing cloud-native environments in real time.

  5. Mastering Modern Threats: Checkpoint's Roy Barda on WAF, API, and Contextual AI 

    Explore Checkpoint’s AI-driven CloudGuard WAF with Roy Barda—proactive zero-day protection, API security, anomaly detection, and a live demo showcasing advanced threat prevention and usability.

  6. From Web 3.0 to Agentic AI: How Tray is Giving LLMs a Body and Brain

    Join Tray.ai CTO Alistair Russell as he traces the path from semantic web to Merlin, an agentic AI platform enabling LLMs to act with context and scale.

  7. SINGAPORE’S LARGEST BANK MOVES TO OPEN SOURCE WITH MARIADB

    Discover how DBS Bank, Southeast Asia's largest bank, successfully migrated mission-critical applications from Oracle to MariaDB, achieving 30-70% cost savings, enhanced flexibility with microservices, real-time data streaming, and robust compliance for its demanding financial services operations.

  8. 7 Reasons Why Businesses Need To Secure AI-Driven Applications With Mend AI

    Why securing AI applications is important for businesses and how Mend AI can help protect against emerging AI threats.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

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