meshery/docker-extension-meshery repository overview

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Meshery⁠ is the cloud native management plane offering lifecycle, configuration, and performance management of Kubernetes, service meshes, and your workloads.

Meshery is a Cloud Native Computing Foundation project.

⁠Docker Extension for Meshery⁠

The Docker Extension for Meshery extends Docker Desktop’s position as the cloud native developer’s go-to Kubernetes environment with easy access to the next layer of cloud native infrastructure: service meshes. Service mesh or not, though, Meshery offers a visual topology for designing Docker-Compose applications, operating Kubernetes, service meshes, and their workloads. Meshery brings deep support of 10 different service meshes to the fingertips of Docker Desktop developers in connection with Docker Desktop’s ability to deliver Kubernetes locally.

⁠Get Started with the Docker Extension for Meshery

⁠Using Docker Desktop

Navigate to the Extensions area of Docker Desktop.

⁠Using docker

Meshery runs as a set of containers inside your Docker Desktop virtual machine.

docker extension install meshery/docker-extension-meshery

See the quick start⁠ guide.

⁠Using the Docker Extension for Meshery

1. Install any service mesh with the check of a box.
2. Import your Docker Compose apps for visual design and deployment to Kubernetes and service meshes.

⁠Install Meshery Docker Extension and get:

• Service mesh support for your Docker Compose apps

  Import your Docker Compose apps. Configure and deploy them to Kubernetes and any service mesh.

• Visual designer for cloud native applications and infrastructure

  Early access to the Docker Extension for Meshery that offers a visual topology for designing Docker Compose applications, operating Kubernetes, service meshes, and their workloads.

• Single-click deployment of any service mesh

  Support of 10 different service meshes to the fingertips of developers in connection with Docker Desktop’s ability to deliver Kubernetes locally.

• Detection of Kubernetes environments

  Scan your kubeconfigs and select your current Kubernetes environment. Switch from one environment to another one.