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Founder, FAUN.dev

DevSecOps in Practice

TruffleHog Flask NeuVector detect-secrets pre-commit OWASP Dependency-Check Docker checkov Bandit Hadolint Grype KubeLinter Syft GitLab CI/CD Trivy Kubernetes

A Hands-On Guide to Operationalizing DevSecOps at Scale

DevSecOps in Practice
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@tairascott shared a post, 2 weeks, 6 days ago
AI Expert and Consultant, Trigma

How Do Large Language Models (LLMs) Work? An In-Depth Look

Discover how Large Language Models work through a clear and human centered explanation. Learn about training, reasoning, and real world applications including Agentic AI development and LLM powered solutions from Trigma.

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@laura_garcia shared a post, 2 weeks, 6 days ago
Software Developer, RELIANOID

🔐 RELIANOID at Gartner IAM Summit 2025 | Dec 8–10, Grapevine, TX

We’re heading to the Gartner Identity & Access Management Summit to showcase how RELIANOID’s intelligent proxy and ADC platforms empower modern IAM: enhancing Zero Trust enforcement, adaptive access, and hybrid/multi-cloud security. Join us to explore AI-driven automation, ITDR, and identity governa..

Gartner Identity and Access Management Summit 2025 relianoid
k3d is an open-source utility designed to simplify running Kubernetes locally by wrapping K3s (Rancher’s lightweight Kubernetes distribution) inside Docker containers. Instead of creating virtual machines, k3d uses Docker as the execution layer, allowing developers to spin up multi-node Kubernetes clusters in seconds using minimal system resources.

k3d is especially popular for local development, CI pipelines, demos, and testing Kubernetes-native applications. It supports advanced setups such as multi-node clusters, load balancers, custom container registries, port mappings, and volume mounts, while remaining easy to tear down and recreate.

Because it uses K3s, k3d inherits a simplified control plane, bundled components, and reduced memory footprint compared to full Kubernetes distributions. This makes it ideal for developers who want a realistic Kubernetes environment without the overhead of tools like Minikube or full VM-based clusters.

k3d integrates cleanly with common Kubernetes workflows and tools such as kubectl, Helm, Skaffold, and Argo CD. It is frequently used to validate manifests, test Helm charts, and simulate production-like environments locally before deploying to cloud or on-prem clusters.