Meshery Overview

As the cloud native management plane, Meshery enables the operation and management of Kubernetes, any service mesh, and their workloads. Meshery’s powerful performance management functionality is accomplished through implementation of Service Mesh Performance (SMP). Meshery’s cloud native manager functionality leverages Service Mesh Interface (SMI) and Meshery is the conformance tool for SMI. Meshery integrates with Open Application Model (OAM) to enable users to deploy service mesh patterns. Meshery enables operators to deploy WebAssembly filters to Envoy-based data planes. Meshery facilitates learning about functionality and performance of service meshes and incorporates the collection and display of metrics from applications running on or across service meshes.

Meshery as a project and its community

Security Vulnerabilities - How the Meshery team handles security vulnerabilities.
Releases - List of released Meshery versions and their release notes.
Contributing to Meshery Server - How to contribute to Meshery Server
Contributing - How to contribute to the Meshery project.
Contributing to Meshery UI - How to contribute to Meshery UI (web-based user interface).
Meshery Contributing Guidelines -
Contributing to Meshery using git - How to contribute to Meshery using git
How to write MeshKit compatible errors - How to declare errors in Meshery components.
Contributing to Meshery Docs - How to contribute to Meshery Docs.
Contributing to Meshery's End-to-End Tests using Cypress - How to contribute to End-to-End Tests using Cypress.
Contributing to Meshery CLI - How to contribute to Meshery Command Line Interface.
Contributing to Meshery Adapters - How to contribute to Meshery Adapters
Meshery Community - Open source, service mesh-centric community at Layer5
Build & Release (CI) - Details of Meshery's build and release strategy.
FAQ - General commonly asked questions and answers about Meshery.

Meshery’s Functionality

Meshery features can be categorized by:

Service Mesh Performance Management
- Workload and service mesh performance characterization
- Prometheus and Grafana integration
Service Mesh Configuration Management
- Configuration best practices
Service Mesh Lifecycle Management
- Service mesh provisioning and workload onboarding
- Meshery Operator and MeshSync
- Service mesh patterns and Open Application Model integration
Data Plane Intelligence
- Registry and configuration of WebAssembly filters for Envoy
Service Mesh Interoperability and Federation
- Manage multiple service meshes concurrently
- Connect to multiple clusters independently

Meshery is for Developers, Operators, and Product Owners

Whether making a Day 0 adoption choice 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 service mesh in their ecosystem; this includes developers, devops engineers, decision makers, architects, and organizations that rely on microservices platform.

Meshery is for service mesh patterns

Meshery integrates with Open Application Model (OAM) to enable users to deploy service mesh patterns.

Meshery is for performance management

Meshery helps users weigh the value of their service mesh deployment against the overhead incurred in running a service mesh. Meshery provides statistical analysis of the request latency and throughput seen across various permutations of your workload, infrastructure and service mesh configuration. In addition to request latency and throughput, Meshery also tracks memory and CPU overhead in of the nodes in your cluster. Measure your data plane and control plane against different sets of workloads and infrastructures.

Anytime performance questions are to be answered, they are subjective to the specific workload and infrastructure used for measurement. Given this challenge, the Envoy project, for example, refuses to publish performance data because such tests can be:

Involved
Misinterpreted

Beyond the need for performance and overhead data under a permutation of different workloads (applications) and types and sizes of infrastructure resources, the need for cross-project, apple-to-apple comparisons are also desired in order to facilitate a comparison of behavioral differences between service meshes and selection of their use. Individual projects shy from publishing test results of other, competing service meshes. An independent, unbiased, credible analysis is needed.

Meshery is intended to be a vendor and project-neutral utility for uniformly benchmarking the performance of service meshes. Between service mesh and proxy projects (and surprisingly, within a single project), a number of different tools and results exist. Meshery allows you to pick an efficient set of tools for your ecosystem by providing performance evaluation and metrics.

By leveraging Meshery you could achieve apples-to-apples performance comparison of service meshes
Track your service mesh performance from release to release.
Understand behavioral differences between service meshes.
Track your application performance from version to version.

Establish a performance benchmark and track performance against this baseline as your environment changes over time.

Meshery is for any service mesh

Infrastructure diversity is a reality for any enterprise. Whether you’re running a single service mesh or multiple types of service meshes, you’ll find that Meshery supports your infrastructure diversity (or lack thereof).

Supported Service Meshes

Stable

| Service Mesh | Status | | :———– | —–: |

Meshery Adapter for Cilium Service Mesh	stable
Meshery Adapter for Consul	stable
Meshery Adapter for Istio	stable
Meshery Adapter for Kuma	stable
Meshery Adapter for Linkerd	stable
Meshery Adapter for NGINX Service Mesh	stable
Meshery Adapter for Network Service Mesh	stable
Meshery Adapter for Open Service Mesh	stable
Meshery Adapter for Traefik Mesh	stable