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DirectoryCloud InfrastructureCloud Networking & CDNService Mesh Performance

Service Mesh Performance

Open SourceFunded

Standardizing service mesh performance measurement and benchmarking.

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About Service Mesh Performance

Service Mesh Performance (SMP) is a vendor-neutral open source specification designed to capture and characterize infrastructure capacity, service mesh configurations, and workload metadata. It enables enterprises to measure, analyze, and benchmark the efficiency of cloud-native infrastructure specifically within service mesh environments. SMP facilitates apples-to-apples performance comparisons across different service mesh deployments and tooling, providing a universal performance index to gauge mesh efficiency against other organizations' environments. The specification supports detailed statistical analysis of performance metrics such as latency percentiles, enabling informed decision-making for cloud infrastructure teams.

SMP is ideal for large enterprises adopting service mesh architectures who require standardized performance measurement and benchmarking to optimize their cloud networking and SD-WAN operations. The canonical implementation of SMP is Meshery, which provides tools for running performance tests, exchanging results in a standard format, and integrating with CI/CD pipelines. This open source approach fosters collaboration and continuous improvement within the cloud native community, helping enterprises achieve greater visibility and control over their service mesh deployments.

Key Capabilities

  • Standardized service mesh performance measurement
  • Benchmarking across multiple service mesh deployments
  • Statistical analysis of latency and performance metrics
  • Universal performance index for mesh efficiency
  • Integration with CI/CD pipelines via Meshery

Integrations

MesheryGitHub ActionsService Mesh Interface (SMI)

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Quick Facts

smp-spec.io
CategoryCloud Infrastructure
SubcategoryCloud Networking & CDN
PricingOpen Source
DeploymentOpen Source
Target SizeEnterprise