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In another blog post, we explored how Kubernetes clusters can be controlled from a browser. However, in this post, we will explore how we can achieve the same thing for Docker hosts. While container orchestration is a hot topic, we continue to simplify things with our Systems AI agent, which can now interact with and manage Docker containers and resources. The Systems agent uses natural language to interact with Docker's API and supports managing containers without exposing APIs to the internet. This is what we will explore in this post. The agent does not store any Docker API credentials in MechCloud and instead relies on a proxy that you should run in your own network. The Systems AI agent is a game changer for Developers and DevOps engineers: No need to install desktop applications or CLI tools (e.g., Docker Desktop) to explore and manage Docker containers. Use natural language instructions to query or manage Docker containers and images. Customize UI components to display data for an instruction based on your requirements. We will cover this in a separate post. Create rich dashboards to visualize your Docker resources as you prefer (e.g., displaying all containers and images in a single view). We will cover this in a separate post. This AI agent is available free of cost for local/remote development environments. In this post, we will explore how you can use the Systems AI agent to interact with a local/remote Docker host running in a private network.
In another blog post, we explored how Kubernetes clusters can be controlled from a browser. However, in this post, we will explore how we can achieve the same thing for Docker hosts.
While container orchestration is a hot topic, we continue to simplify things with our Systems AI agent, which can now interact with and manage Docker containers and resources. The Systems agent uses natural language to interact with Docker's API and supports managing containers without exposing APIs to the internet. This is what we will explore in this post. The agent does not store any Docker API credentials in MechCloud and instead relies on a proxy that you should run in your own network.
The Systems AI agent is a game changer for Developers and DevOps engineers:
No need to install desktop applications or CLI tools (e.g., Docker Desktop) to explore and manage Docker containers.
Use natural language instructions to query or manage Docker containers and images.
Customize UI components to display data for an instruction based on your requirements. We will cover this in a separate post.
Create rich dashboards to visualize your Docker resources as you prefer (e.g., displaying all containers and images in a single view). We will cover this in a separate post.
This AI agent is available free of cost for local/remote development environments.
In this post, we will explore how you can use the Systems AI agent to interact with a local/remote Docker host running in a private network.
