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Open-source tools to help you with Kubernetes-native development & testing

Whether you are a Developer, a Tester, or a DevOps, learn how to streamline your Kubernetes-based projects with Kubeshop tools.

Tag:

Open source

Guardrails Can Be the Common Language to Bring Dev and Ops Together

Monokle enables different teams to create blended workflows to maintain high-quality Kubernetes configurations.

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Monokle Desktop 2.1: We Continue to Love YAML So You Don’t Have To

We're thrilled to unveil Monokle Desktop v2.1, the latest major release of our open-source IDE that loves Kubernetes YAMLs more than any other.

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The Open Source Ethos: Why Lens Made a Mistake

With the release of Lens 6, the underlying open source project was repurposed, breaking an unwritten rule for open source projects.

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Deploy Containerized applications to Civo Cloud

Deploying web applications to Kubernetes doesn't have to be complex. Follow these steps to leverage the power of Monokle to deploy successfully to Civo Cloud on the first try.

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Get Started - Validate Kubernetes Resources

Overcome the challenges of YAML manifest validation with Monokle. Finally, Developers can feel confident that all resources are validated before sending applications to Production.

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Monokle vs. Lens vs. K9s

Finding the right tools to optimize Kubernetes deployment workflows is challenging. Here's a look at what these key players offer to handle everything from configuration tasks to cluster management.

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Kubernetes Cluster Management with Monokle

We're excited to introduce Cluster Mode -- real-time visibility of the full Kubernetes configuration lifecycle from Development to Production!

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Monokle, Kustomize & Quality Kubernetes Deployments

Deploying to Kubernetes can be a relatively painless process. Learn how to leverage the power of Monokle and Kustomize to scale quality application deployments to K8s.

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Leverage OPA Security Practices with Monokle

Leverage Monokle to inspect existing cluster resources, Helm and Kustomize outputs, and vanilla manifests for OPA errors before deployment.

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