Overview

As the service mesh management plane, Meshery enables the adoption, operation, and management of any service mesh and their workloads. Meshery’s powerful performance management functionality is accomplished through implementation of Service Mesh Performance (SMP). Meshery’s multi-mesh management functionality leverages Service Mesh Interface (SMI). 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’s Functionality

Meshery features can be categorized by:

1. Service Mesh Performance Management
   • Workload and service mesh benchmarking
   • Prometheus and Grafana Integration
2. Service Mesh Configuration Management
   • Configuration best practices
3. Service Mesh Lifecycle Management
   • Service mesh provisioning and workload onboarding
   • Meshery Operator and MeshSync
4. Data Plane Intelligence
   • WebAssembly filters for Envoy
5. 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.

Service mesh management - one or multiple service meshes.**

Meshery is for performance management: testing and benchmarking

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.

1. By leveraging Meshery you could achieve apples-to-apples performance comparison of service meshes
2. Track your service mesh performance from release to release.
3. Understand behavioral differences between service meshes.
4. 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

Platform	Status
Meshery Adapter for Consul	stable
Meshery Adapter for Istio	stable
Meshery Adapter for Linkerd	stable
Meshery Adapter for Network Service Mesh	stable
Meshery Adapter for Octarine	stable
Meshery Adapter for Open Service Mesh	stable

Beta

Platform	Status
Meshery Adapter for Citrix Service Mesh	beta
Meshery Adapter for Kuma	beta
Meshery Adapter for NGINX Service Mesh	beta
Meshery Adapter for Traefik Mesh	beta

Alpha - Service mesh adapters adapters for which we are seeking community-contributed support.

Platform	Status
Meshery Adapter for App Mesh	alpha
Meshery Adapter for Tanzu Service Mesh	alpha