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@anjali shared a link, 2 weeks, 2 days ago
Customer Marketing Manager, Last9

Instrumentation: Getting Signals In

See how instrumentation in OpenTelemetry helps track app issues, know the difference between auto and manual methods, and when to use them.

otel_metrics_quarkus
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@devopslinks added a new tool Syft , 2 weeks, 2 days ago.
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@kaptain added a new tool KubeLinter , 2 weeks, 2 days ago.
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@devopslinks added a new tool Grype , 2 weeks, 2 days ago.
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@kaptain added a new tool Hadolint , 2 weeks, 2 days ago.
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@varbear added a new tool Bandit , 2 weeks, 2 days ago.
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@devopslinks added a new tool JFrog Xray , 2 weeks, 2 days ago.
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@devopslinks added a new tool OWASP Dependency-Check , 2 weeks, 2 days ago.
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@varbear added a new tool pre-commit , 2 weeks, 2 days ago.
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@devopslinks added a new tool GitGuardian , 2 weeks, 2 days ago.
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.