Platform Engineering with Meshery's Extension Points

Meshery includes both REST APIs and GraphQL APIs, pluggable adapters via gRPCs, hot-loadable ReactJS and hot-loadable Golang binaries. The great number of extension points in Meshery make it ideal as the foundation of your internal developer platform.

Visually and collaboratively manage your infrastructure

Meshery uses context-aware relationships to define how and when components interrelate with one another. Meshery supports a variety of relationships between components. These relationships are categorized into two types: semantic and non-semantic.

Manage the performance of your infrastructure and its workloads

Use performance profiles to track the historical performance of your workloads.

Track your application performance from version to version.

Understand behavioral differences between cloud native network functions.

Compare performance across infrastructure deployments.

01

Use Meshery Playground

The fastest way to put your hands on Meshery is in its playground. No installation required. Just click and go!

Use Meshery Playground

OR

01

Choose Your Platform and Install

Choose a platform and see how easy it is to start managing cloud native infrastructure with a single command.

Bash using Mac or Linux

Install on Kubernetes

$ curl -L https://meshery.io/install | PLATFORM=kubernetes bash -

Install on Docker

$ curl -L https://meshery.io/install | PLATFORM=docker bash -

Brew User:

Install on Mac or Linux using Homebrew:

 $ brew install mesheryctl
                $ mesheryctl system start

Docker User:

Get mesheryctl

Install mesheryctl with Bash, Brew, Scoop, or download directly.

Use mesheryctl

mesheryctl system context create docker --platform docker --set
                mesheryctl system start

Use Docker Extension for Meshery

docker extension install meshery/docker-extension-meshery:stable-latest

Kubernetes User:

Get mesheryctl

Install mesheryctl with Bash, Brew, Scoop, or download directly.

Use mesheryctl

mesheryctl system context create k8s --platform kubernetes --set
                mesheryctl system start

Windows User:

Using Scoop

 $ scoop bucket add mesheryctl https://github.com/meshery/scoop-bucket.git
                        $ scoop install mesheryctl
                        $ mesheryctl system start

Using Binary

Not a Scoop user? Download and unzip the mesheryctl binary directly from the Meshery releases page. Add mesheryctl to your path for ease of use. Then, execute:

$ mesheryctl system start

Azure Kubernetes Service ( AKS ) User:

Get mesheryctl

Install mesheryctl with Bash, Brew, Scoop, or download directly.

Use mesheryctl

   mesheryctl system config aks
              mesheryctl system start

Minikube User:

Get mesheryctl

Install mesheryctl with Bash, Brew, or Scoop, or download directly.

Use mesheryctl

mesheryctl system config minikube

Using Helm

kubectl create ns meshery
              helm repo add meshery https://meshery.io/charts
              helm install meshery meshery/meshery -n meshery

Learn about Meshery's Helm charts. Don't forget to grab a copy of mesheryctl. Install mesheryctl with Bash, Brew, or Scoop.

There is no step 2. Login and manage cloud native infrastructure! For more detailed instructions, visit Meshery Docs.

Hear what other users have to say...

❞

Kanvas is what the next-generation Operations tooling will look like.

Louie Corbo

Staff Cloud Infratructure Engineer at SADA

❝

The Meshery Extension transforms Docker Desktop into a powerful load generation utility, conveniently enabling me to deploy and configure any cloud native application with a click of the button and invoke and control load-based performance tests from my desktop.

Maximiliano Churichi

Software Engineer at HPE

❝

The precision by which performance measurements are generated and analyzed is a pinnacle focus of Nighthawk. Mesh performance characterization should be distilled from a set of value measurements, and that is where MeshMark compliments to create the ultimate comprehensive efficiency calculation.

Otto Van Der Schaaf

Principal Engineer at Red Hat

❝

Meshery is the perfect tool for ensuring that your cloud native applications are optimally configured and performing well; it also gives you a fantastic visual insight into what can be a large amount of textual configuration.

Nic Jackson

Principal Developer Advocate at HashiCorp

❞

While speed is one of Linkerd's core competitive advantages, Linkerd provides much more than just an ultrafast data plane. We are pleased to support MeshMark's establishment of a higher order set of functional considerations that incorporate value into the performance equation.

William Morgan

CEO of Buoyant and one of the creators of Linkerd

❝

Performance measurement data rarely provides a clear and simple picture of how well our applications are performing from a business point of view, which are so often the key efficiency indicators that we really need.

Ken Owens

Vice President Cyber Cloud Security Engineering at Fiserv

❝

Many cloud native adopters have been put off from using service mesh due to the extra resource consumption and complexity that it can involve. We welcome MeshMark as an objective measure of that overhead, to help drive efficiency and make it easier for users to compare service mesh options.

Liz Rice

Chief Open Source Officer, Isovalent and Emeritus Chair of the CNCFs TOC

❞

The fact that Kanvas automatically renders our Kubernetes configuration is a game-changer for our team.

Kaur Kallas

Software Architect at Entigo

❝

It was an intuitive experience to visually place and configure various components saving the time of going through 10 different YAML files.

Deepak Dinesh

Kanvas User

❝

Are my resources utilized as best as possible? Why am I not getting the SLO met with 4 resources when I only needed 1 resource without the service mesh? How can I improve my 99.9% latencies or can I map my service policy to utilization? MeshMark will model and provide an index in answer to such questions.

Mrittika Ganguli

Principal Engineer & Director Cloud Native Network Pathfinding

❝

With a goal to bring workload identity and attestation to all cloud-native infrastructure, HPE Security Engineering uses the Meshery Docker Extension to deploy their preferred cloud-native infrastructure and test the performance of our SPIFFE and SPIRE-based identity solution.

Maximiliano Churichi

Software Engineer at HPE

❞

The Meshery Docker Extension offers an easy button to go from Docker Compose to Kubernetes to managing cloud-native applications.

Nic Jackson

Principal Developer Advocate at HashiCorp

❝

Meshery is an innovative tool for managing our multi-cluster and multi-cloud workloads.

Hein Htet Win

SS&C Technologies

❝

Meshery has so many really amazing features all of which make DevOps and SRE life easy.

Anusha Sridharan

Lead Software Engineer at Fidelity Investments

the extensible Kubernetes manager

for your Cloud Native Infrastructure and Apps

Platform Engineering with Meshery's Extension Points

Visually and collaboratively manage your infrastructure

Multi-cluster management for Kubernetes and Clouds

Workspaces: Your team's Google Drive for cloud native projects

Performance Profiles with built-in load generator

Control all of your infrastructure with mesheryctl

Access the Cloud Native Patterns for Kubernetes

Example Labels and Annotations

MESHERY4649

Dapr

MESHERY45f7

Istio Operator

MESHERY4a76

Fault-tolerant batch workloads on GKE

MESHERY4b55

default-ns

MESHERY490b

Run DaemonSet on GKE Autopilot

MESHERY4bf8

Untitled Design

MESHERY4cb3

Key cloak operator

MESHERY4f70

mTLS-handshake-acceleration-for-Istio

MESHERY4d09

my first app design

MESHERY46a2

gitlab runner deployment

MESHERY4170

Resilient Web App

MESHERY4e64

AWS rds controller

MESHERY46e4

Istio HTTP Header Filter (Clone)

MESHERY4bfd

enhance-flask-app

MESHERY48cd

postgreSQL cluster

MESHERY4d4f

doks-nginx-deployment

MESHERY4bf7

Example Edge-Network Relationship

MESHERY4ee9

Simple Kubernetes Pod

MESHERY4150

Litmus Chaos Operator

MESHERY4844

voting_app

MESHERY49d5

Kubernetes Engine Training Example

MESHERY40f1

my-sql-with-cinder-vol-plugin

MESHERY40de

Persistence-volume-claim

MESHERY4671

Edge-Binding-Permissions-Relationship

MESHERY426e

CryptoMB-TLS-handshake-acceleration-for-Istio

MESHERY4f96

Double Bubble Map

MESHERY4b18

Autogenerated

MESHERY4102

Match-Labels-Relationship

MESHERY4076

WordPress and MySQL with Persistent Volume on Kubernetes

MESHERY4d8b

VPC-WORKFLOW-DESIGN

MESHERY461e

Hierarchical-Parent-Inventory-Relationship

MESHERY48e8

Jaeger operator

MESHERY4ab9

Kubernetes-service Design

MESHERY418c

Wordpress and MySql on Kubernetes

MESHERY4c7e

Prometheus-monitoring-ns