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ai-agent

Service-mesh-performance: Standardize Cloud Native Metrics

Measure cloud native value with service-mesh-performance, a tool for startup founders, with 311 GitHub stars.
intermediateโฑ 1-2 hours๐Ÿ’ต Free
312 stars157 forksMakefileQuality 8/10Updated 6/1/2026100% free ยท open source
What it is

Use service-mesh-performance to measure cloud-native value with standardized metrics.

What you can make with it

Cloud-native performance benchmarks like: measuring containerized application response times with Service Mesh Perf Benchmarks.

How it helps

Use service-mesh-performance to get consistent, comparable metrics across your cloud-native applications, making it easier to monitor and improve their performance.

Real use case example

"A founder uses service-mesh-performance to measure the response time of their e-commerce application. They create a benchmark, run it on their staging environment, and get insights on how to optimize their application for a better user experience."

If you're new

Pick this skill up when you're exploring cloud-native performance and need to standardize your metrics.

If you're senior

Reach for this skill when you need to create standardized, production-ready performance benchmarks across your cloud-native applications.

Common confusion cleared up

Service-mesh-performance is a tool for measuring cloud-native performance, not for managing service mesh configurations.

Best inside these AI tools
Claude DesktopClaude Code
Pairs with
Stripe webhookNotion database
Why we list it on WorkflowStacks: We include service-mesh-performance as a free, open-source skill to help developers standardize cloud-native performance measurement.
What it does

Service-mesh-performance measures the performance of cloud native applications by standardizing the measurement of service mesh technologies

Install / run
git clone https://github.com/service-mesh-performance/service-mesh-performance.git
When to use it
  • โ€ขWhen evaluating the performance of multiple service mesh technologies
  • โ€ขWhen optimizing the configuration of a service mesh for better performance
  • โ€ขWhen comparing the performance of different cloud native applications using service mesh
Quick start
  1. 1Run 'make all' to build all the benchmarks
  2. 2Configure the 'config.yaml' file to specify the service mesh and workload to test
  3. 3Use 'make run' to execute the benchmarks
  4. 4Analyze the results in the 'results' directory
  5. 5Modify the 'Makefile' to customize the benchmarking parameters
Ready-to-paste prompt
make run SMESH=istio WORKLOAD=http to benchmark the performance of Istio with an HTTP workload
Heads up: Make sure to have Docker and Kubernetes installed and configured before running the benchmarks, as the tool uses these to deploy and test the service mesh
Saves to your device

Topics

cloud-native
cncf
hacktoberfest
layer5
management-plane
meshery
multi-mesh-manager
performance-benchmarks
service-mesh
service-mesh-benchmark
service-mesh-performance
service-mesh-performance-benchmark
smp
specifications
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

14
top-level files
5
folders
31.7M
repo size
Apache-2.0
license
Key files
MAINTAINERS.md
README.md
File tree
.github/
docs/
protos/
service/
spec/
.gitignore
CODE_OF_CONDUCT.md
CONTRIBUTING-gitflow.md
CONTRIBUTING.md
go.mod
go.sum
GOVERNANCE.md
LICENSE
MAINTAINERS.md
Makefile
meshery-prod.session.sql
prototool.yaml
README.md
ROADMAP.md
Quick Actions
Details
Creator
service-mesh-performance
Language
Makefile
Category
ai-agent
Published
2/2/2019

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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