docs/content/en/project/overview.md
Meshery is an extensible engineering platform for the collaborative design and operation of cloud and cloud native infrastructure and applications.
Kubernetes-centric. Kubernetes not required.
Infrastructure diversity is a reality for any enterprise. Whether you're running a single Kubernetes cluster or multiple Kubernetes clusters, on one cloud or multiple clouds, you'll find that Meshery supports your infrastructure diversity (or lack thereof).
Meshery supports all Kubernetes-based infrastructure including many cloud services of AWS and GCP platforms. Meshery features can be categorized by:
Lifecycle Management (Day 0, Day 1)
Configuration Management (Day 2)
Performance Management
Interoperability and Federated Control
Whether you are a Platform Engineer, Site Reliability Engineer, DevOps Engineer, Developer, or Operator, Meshery provides a platform for you to collaborate on the design and operation of your cloud native infrastructure.
Whether making a Day 0 adoption choice, a Day 1 configuration and provisioning, or maintaining a Day 2 deployment, Meshery has useful capabilities in either circumstance. Targeted audience for Meshery project would be any technology operators that leverage Cloud and cloud native infrastructure.
Collaboration
Using Meshery extensions you can freely collaborate across projects and team with multi-player infrastructure design and operation.
Design patterns and Meshery Catalog
Through Models, Meshery describes infrastructure under management, enabling you to define cloud native designs and patterns and then to export those designs and share within the <a href="https://meshery.io/catalog" target="_self_">Meshery Catalog</a>.
<!-- ### Meshery is for performance management Meshery helps users weigh the value of their cloud native deployments against the overhead incurred in running different deployment scenarios and different configruations. Meshery provides statistical analysis of the request latency and throughput seen across various permutations of your workload, infrastructure and infrastructure configuration. In addition to request latency and throughput, Meshery also tracks memory and CPU overhead in of the nodes in your cluster. Establish a performance benchmark and track performance against this baseline as your environment changes over time. --> <!-- ### Supported Integrations #### **Stable** | Adapter | Status | | :----------- | -----: | {% for adapter in site.adapters -%} {% if adapter.project_status == "stable" -%} | [{{ adapter.name }}]({{ adapter.url }}) | {{ adapter.project_status }} | {% endif -%} {% endfor %} ##### **Beta** | Adapter | Status | | :----------- | -----: | {% for adapter in site.adapters -%} {% if adapter.project_status == "beta" -%} | [{{ adapter.name }}]({{ adapter.url }}) | {{ adapter.project_status }} | {% endif -%} {% endfor %} ##### **Alpha** - Meshery adapters for which we are seeking community-contributed support. | Adapter | Status | | :----------- | -----: | {% for adapter in site.adapters -%} {% if adapter.project_status == "alpha" -%} | [{{ adapter.name }}]({{ adapter.url }}) | {{ adapter.project_status }} | {% endif -%} {% endfor %} --> <!-- ## Meshery as a project and its community {% assign sorted_pages = site.pages | sort: "type" | reverse %} <ul> {% for item in sorted_pages %} {% if item.type=="project" and item.language=="en" and item.list != "exclude" %} <li><a href="{{ item.url }}">{{ item.title }}</a> {% if item.description != " " %} - {{ item.description }} {% endif %} </li> {% endif %} {% endfor %} </ul> -->