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Docker Hardened Images: crafted by humans, protected by AI
Docker’s Hardened Images (DHI) are secured by a dual approach: human expertise backed by AI. Discover how Docker’s internal AI guardrail spotted a critical logic flaw in an nginx-exporter update, blocked the release, and contributed the fix upstream, proving AI is the best force multiplier for security architects
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DoiT Uplevels Kubernetes Capabilities with Acquisition of PerfectScale
Explore containerization, Kubernetes, and cloud optimization for scalable, cost-effective, and efficient operations.
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Driving Beyond Visibility: Why Action Is the True Currency of FinOps
In the 2025 State of FinOps report, workload optimization and waste reduction once again top the list of priorities—but this time, it's about action, not just visibility. As FinOps matures, the focus is shifting from simply identifying inefficiencies to systematically fixing them through built-in workflows, context-rich insights, and tighter engineering integration. This article explores how governance, automation, and cultural alignment are shaping the next frontier of FinOps—where every dollar saved is tracked, verified, and sustained at scale.
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Edera's Approach To Container Isolation That Focuses On Security And Efficiency
Discover how Edera is redefining container isolation with a hypervisor-based approach that blends security and efficiency without hardware virtualization.
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Edge, Cloud, Hybrid, Virtual, Bare‑metal, or Multi-cloud? Deciding On Your Perfect Kubernetes Architecture
Choosing the right Kubernetes architecture is no longer about picking a single environment. From cloud and edge to hybrid, bare-metal, and multicloud setups, each option offers unique benefits and challenges. This article by Ben Radstone explores six key Kubernetes deployment models, comparing their pros, cons, and ideal use cases to help organizations design flexible, resilient, and cost-efficient infrastructures for modern workloads.
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Effortless SBOM Analysis: How Anchore Enterprise Simplifies Integration
As software supply chain security becomes a top priority, organizations are turning to Software Bill of Materials (SBOM) generation and analysis to gain visibility into the composition of their software and supply chain dependencies in order to reduce risk.
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Enterprise Open Source AI: Navigating Risk, Securing Innovation, and Owning Your Destiny
As AI adoption surges across industries, organizations face critical decisions about how to manage innovation, risk, and control. Open source AI offers enterprises the ability to “own their destiny” — providing transparency, flexibility, and customization that proprietary models often lack. However, with these benefits come challenges: security vulnerabilities, model drift, and cultural shifts in AI literacy. To succeed, businesses must build secure infrastructure, foster cross-functional collaboration, and establish governance pathways that empower safe innovation. The future belongs to cybernetic businesses — and those that proactively shape their AI strategies today will lead tomorrow.
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Everything You Need To Know About Operator-as-a-Service (OaaS)
Discover why Operator-as-a-Service (OaaS) is transforming network management with AI, automation, and scalability for today’s digital infrastructure.
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Evolution of IoT Architectures from Simple Device-Cloud Models to Edge-Based Systems
Discover how IoT architectures evolved from cloud-only models to edge-based systems that boost speed, scalability, and real-time decision-making.
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Expanding Docker Hardened Images: Secure Helm Charts for Deployments
Docker is simplifying Kubernetes security! Discover how new Helm charts in the Docker Hardened Images (DHI) Catalog give users a secure, compliance-ready alternative after the Broadcom/Bitnami changes. Deploy DHI by default, ensuring SLSA Level 3 security and SLA-backed patching for every Kubernetes workload.
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Expert Insights on Technical and Cultural Shifts in the Kubernetes Ecosystem
Expert weighs in on technical and cultural shifts happening in the Kubernetes ecosystem while also discussing the future.
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Explore what’s important when running data workloads on Kubernetes
Not long ago, Kubernetes aimed primarily to serve stateless workloads. Explore what’s important when running data workloads on Kubernetes.


