Meshery

Meshery is a cloud native management plane used for the orchestration and administration of service meshes and Kubernetes clusters across multiple cloud providers. It provides a centralized interface to configure cloud native components and manage infrastructure through a unified abstraction layer.

The platform features a visual infrastructure modeler that translates diagrams into manifests and a simulation engine for dry-running configuration changes. It synchronizes infrastructure state with version control via GitOps workflows, providing visual previews of pull request changes to evaluate impact before deployment.

The system includes capabilities for performance benchmarking, latency and throughput visualization, and the enforcement of context-aware configuration policies. It supports multi-tenant isolation through role-based access controls and provides a plugin architecture to extend platform functionality with custom adapters and logic.

The project utilizes a curated catalog of design templates to install pre-configured infrastructure patterns and industry-best-practice designs.

Features

Service Mesh Control Planes - Acts as a unified management plane for the administration and operation of multiple service mesh implementations.

GitOps Deployment Management - Synchronizes the current state of cloud-native infrastructure with version control using GitOps workflows.

Cloud Native Orchestration - Manages the lifecycle and configuration of service meshes and other cloud-native components from a centralized plane.

GitOps Workflows - Coordinates multi-cluster deployments through visual workflows that synchronize infrastructure state with version control.

Multi-Cluster Orchestrators - Provides a centralized control plane for orchestrating and administering multiple Kubernetes clusters across different providers.

Visual Manifest Generation - Translates interactive visual diagrams into Kubernetes manifests to coordinate infrastructure layout and resource relationships.

Multi-Cloud Orchestrators - Offers a unified interface to design and configure Kubernetes clusters across multiple cloud providers.

Service Meshes - Provides a centralized management plane for orchestrating various service mesh implementations across distributed systems.

Cloud Infrastructure Deployment - Facilitates the deployment of cloud-native infrastructure from scratch or via pre-configured pattern catalogs.

Collaborative Infrastructure Platforms - Allows multiple users to interact simultaneously through a shared interface for managing cloud-native resources.

Deployment Simulators - Implements a simulation engine to dry-run configuration manifests and preview changes before live deployment.

Configuration Simulations - Includes a simulation engine to dry-run configuration manifests and detect errors before applying changes to live clusters.

Infrastructure Templates - Provides a curated catalog of design templates and industry-best-practice patterns for deploying cloud-native infrastructure.

Infrastructure Visualization Tools - Translates interactive visual diagrams of microservices and resources into deployable Kubernetes manifests.

Configuration and Policy Enforcement - Applies context-aware rules and best practices to infrastructure and applications to ensure consistent configuration.

Multi-Tenant Security - Isolates shared infrastructure for multiple teams using role-based access controls for secure operation.

Multi-tenant Isolation Policies - Implements role-based access controls to isolate shared infrastructure and workspaces across different teams.

Metrics Dashboards - Offers integrated dashboards to visualize cluster performance data, including latency and throughput histograms.

Metric and Performance Monitors - Collects cluster and application data to visualize workload behavior and baseline performance via integrated dashboards.

Performance Benchmarkers - Generates network load and analyzes latency metrics to baseline performance across different workload versions.

Network Performance Characterizers - Generates network load and analyzes latency and throughput histograms to identify infrastructure bottlenecks.

Git Change Previews - Generates visual snapshots of infrastructure changes within pull requests to evaluate impact before merging code.

Infrastructure and Automation - Management plane for service meshes.

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Features

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