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Performance testing with jenkins and JMeter or Gatling

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Architectural Context

Detailed reference for Performance testing with jenkins and JMeter or Gatling in the context of Platform & Site Reliability.

API Load Testing

  • API Load Testing With Gatling [COMMUNITY-TOOL] — Technical documentation and implementation reference for API Load Testing With Gatling covering API Load Testing in Performance Testing With Jenkins And Jmeter (dzone.com).
  • Load Testing Your DataBase-Connected APIs With Gatling [COMMUNITY-TOOL] — Technical documentation and implementation reference for Load Testing Your DataBase-Connected APIs With Gatling covering API Load Testing in Performance Testing With Jenkins And Jmeter (dzone.com).

Alternatives

Architectural Foundations

Monitoring

Application Performance Management APM

CICD

Github Actions

Performance Automation

  • (2022) thenewstack.io: Simple Load Testing with GitHub Actions [YAML CONTENT] [COMMUNITY-TOOL] — Practical engineering guide detailing how to build an automated, zero-infrastructure load testing flow using GitHub Actions. It highlights how integrating lightweight load generators (like k6 or Vegeta) into standard YAML workflows establishes early performance baselines and guards against performance regressions.

Jenkins

Reporting Plugins

  • (2024) performance-plugin ⭐ 194 [JAVA CONTENT] 🌟🌟🌟 [COMMUNITY-TOOL] — This Jenkins CI plugin compiles, parses, and visualizes execution metrics from load testing utilities like JMeter, Taurus, and JUnit directly within build workflows. Architecturally, it helps teams enforce automated quality gates by failing pipelines based on strict metric thresholds (e.g., error percentages or response time limits).
  • (2023) plugins.jenkins.io: gatling [JAVA CONTENT] [COMMUNITY-TOOL] — Official Jenkins integration for Gatling, enabling automated parsing of Gatling simulation results inside CI workflows. It charts performance trends over time, facilitating rapid visual regression tracking and immediate identification of microservice performance degradation in downstream builds.

Cloud Infrastructure

Azure

Testing Services

  • (2021) azure.microsoft.com: Introducing Azure Load Testing: Optimize app performance at scale [COMMUNITY-TOOL] — The launch blog post detailing the debut of Microsoft's Azure Load Testing service. It explains how the tool bridges the gap between raw load generation and cloud application monitoring, allowing developers to execute JMeter scripts in an automated cloud-native paradigm directly from GitHub Actions or Azure Pipelines.
  • (2021) infoq.com: Microsoft Introduces a Fully-Managed Azure Load Testing Service in Preview [COMMUNITY-TOOL] — Industry reporting on Azure's entry into fully managed performance testing, discussing how it leverages Apache JMeter under the hood. It provides a historical snapshot of Microsoft's move to simplify distributed load testing for engineering teams, eliminating the manual upkeep of VM scale sets for load generation.

Cloud Native

Kubernetes

Progressive Delivery

  • (2024) Iter8 [GO CONTENT] [ADVANCED LEVEL] 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A Kubernetes-native release validation and progressive delivery tool. Iter8 enables automated canary testing, A/B testing, and SLO evaluation. It coordinates traffic shifting using Service Meshes or Gateways, evaluating metrics from Prometheus and metrics-server to automate rollbacks or promote stable microservice builds.

Gatling

  • Perfomance Testing with Gatling [COMMUNITY-TOOL] — Technical documentation and implementation reference for Perfomance Testing with Gatling covering Gatling in Performance Testing With Jenkins And Jmeter (dzone.com).
  • Gatling: A Lightweight Load Testing Tool [COMMUNITY-TOOL] — Technical documentation and implementation reference for Gatling: A Lightweight Load Testing Tool covering Gatling in Performance Testing With Jenkins And Jmeter (dzone.com).
  • An Introduction to Load Testing With Gatling [COMMUNITY-TOOL] — Technical documentation and implementation reference for An Introduction to Load Testing With Gatling covering Gatling in Performance Testing With Jenkins And Jmeter (dzone.com).
  • Gatling Performance Testing Pros and Cons [COMMUNITY-TOOL] — Technical documentation and implementation reference for Gatling Performance Testing Pros and Cons covering Gatling in Performance Testing With Jenkins And Jmeter (dzone.com).
  • How to Set up a Gatling Test's Implementation Environment 🌟 [COMMUNITY-TOOL] — Technical documentation and implementation reference for How to Set up a Gatling Test's Implementation Environment 🌟 covering Gatling in Performance Testing With Jenkins And Jmeter (dzone.com).
  • How to Use RegEx Extractor in Gatling Projects [COMMUNITY-TOOL] — Technical documentation and implementation reference for How to Use RegEx Extractor in Gatling Projects covering Gatling in Performance Testing With Jenkins And Jmeter (dzone.com).

Gatling And Maven

  • How to Use Gatling With Maven [COMMUNITY-TOOL] — Technical documentation and implementation reference for How to Use Gatling With Maven covering Gatling and Maven in Performance Testing With Jenkins And Jmeter (dzone.com).

Infrastructure

Compute

CPU Performance

  • (2023) The Hidden CPU Throttling Crisis in Kubernetes Clusters [ADVANCED LEVEL] [COMMUNITY-TOOL] — Investigates latency spikes caused by the Linux CFS (Completely Fair Scheduler) quota enforcement mechanism in Kubernetes. Highlights how kernel bugs throttle containerized workloads even when usage is far below limits, providing remediation strategies such as adjusting quotas or using CPU pins.

Testing

Load Testing

  • (2021) Distributed Load Testing on AWS 🌟 [ADVANCED LEVEL] [COMMUNITY-TOOL] [GUIDE] — An AWS Solution blueprint outlining distributed cloud load testing utilizing containerized runners inside AWS Fargate. Simulates high-velocity traffic spikes to assess API gateway throughput bottlenecks and database elasticity limits.

Introduction

  • Gatling vs JMeter [COMMUNITY-TOOL] — Technical documentation and implementation reference for Gatling vs JMeter covering Introduction in Performance Testing With Jenkins And Jmeter (dzone.com).

Jenkins And Jmeter

  • DZone.com: 2 ways to integrate jmeter tests into jenkins [COMMUNITY-TOOL] — Technical documentation and implementation reference for DZone.com: 2 ways to integrate jmeter tests into jenkins covering Jenkins and JMeter in Performance Testing With Jenkins And Jmeter (dzone.com).

Jmeter

  • Dzone: JMeter tutorial [COMMUNITY-TOOL] — Technical documentation and implementation reference for Dzone: JMeter tutorial covering JMeter in Performance Testing With Jenkins And Jmeter (dzone.com).
  • Dzone: JMeter tutorial for beginners [COMMUNITY-TOOL] — Technical documentation and implementation reference for Dzone: JMeter tutorial for beginners covering JMeter in Performance Testing With Jenkins And Jmeter (dzone.com).
  • Dzone: Apache JMeter Keyboards shortcuts [COMMUNITY-TOOL] — Technical documentation and implementation reference for Dzone: Apache JMeter Keyboards shortcuts covering JMeter in Performance Testing With Jenkins And Jmeter (dzone.com).

Jmeter Based Cloud Solutions

  • flood.io 🌟 [COMMUNITY-TOOL] — Technical documentation and implementation reference for flood.io covering JMeter based Cloud solutions in Performance Testing With Jenkins And Jmeter (tricentis.com).
  • blazemeter.com [COMMUNITY-TOOL] — Technical documentation and implementation reference for blazemeter.com covering JMeter based Cloud solutions in Performance Testing With Jenkins And Jmeter (blazemeter.com).

Performance Engineering

Kubernetes Optimization

Autonomous Tuning

  • (2025) How Kruize Optimizes OpenShift Workloads [JAVA CONTENT] [ADVANCED LEVEL] 🌟🌟🌟🌟 [EMERGING] [ENTERPRISE-STABLE] — Technical review explaining how the Kruize Autotune project leverages prometheus metrics to autonomously profile and adjust microservices allocations on enterprise OpenShift clusters.

Load Testing (1)

Distributed Testing

  • (2022) JMeter Distributed Testing Step-by-step [ADVANCED LEVEL] 🌟🌟🌟🌟 [ENTERPRISE-STABLE] [GUIDE] — Operational step-by-step documentation detailing JMeter distributed execution topologies. Solves communication issues between controllers and performance workers during heavy test sequences.

Kubernetes Deployment

Observability

  • (2022) linkedin.com: Tuning Grafana - Jmeter Dashboards 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — Examines methodologies for directing live JMeter thread telemetry to Grafana dashboards via InfluxDB. Gives operational teams real-time visibility into transaction metrics during heavy profiling runs.

Testing Frameworks

  • (2026) jmeter.apache.org [JAVA CONTENT] 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — Industry-standard, open-source performance evaluation engine. Simulates high-velocity workloads against a wide array of application protocols to measure system response under stress.
  • (2026) jmeter.apache.org: Best Practices [DOCUMENTATION] 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — Official design guidelines detailing how to configure JMeter for massive volume tests. Recommends relying on CLI mode and minimizing logging resources to avoid client-side load skew.

Tutorials

  • (2023) youtube: JMeter API Performance Testing Tutorial 🌟 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — Educational walkthrough mapping API load-test workflows. Covers parameterizing user requests, analyzing server metrics, and troubleshooting unexpected timeouts in dynamic microservices backends.
  • (2021) tutorialspoint.com: JMeter Quick Guide 🌟🌟🌟 [COMMUNITY-TOOL] [GUIDE] — Reference manual covering basic JMeter thread management and test flow structures. Designed to help teams write simple API validations and performance regression scripts.

Testing (1)

Benchmarking

HTTP Tools
  • (2021) blog.cloud-mercato.com: New HTTP benchmark tool pycurlb [PYTHON CONTENT] [COMMUNITY-TOOL] — Introduces pycurlb, a Python-based wrapper and benchmarking utility utilizing libcurl for low-overhead HTTP performance testing. Explores its use cases in testing microservice latency and raw throughput. Curator Insight: Quick functional introduction of a new pycurl tool. Live Grounding: Provides an alternative for developers seeking a highly customizable, scriptable curl execution engine for API baselining.

Performance Testing Of Microservices Running On Kubernetes

  • AbdelrhmanHamouda/locust-k8s-operator ⭐ 93 🌟 [COMMUNITY-TOOL] — Technical documentation and implementation reference for AbdelrhmanHamouda/locust-k8s-operator covering Performance testing of microservices running on Kubernetes in Performance Testing With Jenkins And Jmeter (github.com).

Systems

Performance Tuning

Diagnostic Tools

Testing (2)

Performance Testing

Gatling (1)

  • (2025) gatling.io [SCALA CONTENT] [ADVANCED LEVEL] [LEGACY] — Gatling is a highly optimized, asynchronous load-testing framework designed for high-concurrency scenarios. Written in Scala and Java, it utilizes Netty and Akka actors under the hood to handle thousands of concurrent virtual users on a single host machine, avoiding the thread-per-user overhead common in legacy frameworks like JMeter.

Jmeter (1)

  • (2022) softwaretestingmagazine.com: Learning JMeter : Documentation, Tutorials, Videos [JAVA CONTENT] [COMMUNITY-TOOL] — A comprehensive compilation of tutorials, documentation, and videos for Apache JMeter. From an architectural standpoint, JMeter remains a foundational Java-based tool for load testing and performance measurement. Although newer Go/Rust-based tooling is rising, JMeter's extensive protocol support (HTTP, JDBC, JMS) ensures its continued enterprise relevance.

Locust

  • (2025) Locust [PYTHON CONTENT] 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — An open-source, developer-centric performance testing tool that enables writing load scenarios in pure Python. It avoids fragile XML configuration files by favoring dynamic, code-as-configuration scripts, allowing engineering teams to scale out tests across millions of concurrent users using an event-driven greenlet model.

Saas Platforms

  • (2024) octoperf.com [COMMUNITY-TOOL] — Octoperf is a commercial, cloud-native performance testing platform built directly on top of Apache JMeter. It streamlines the creation, execution, and analysis of large-scale JMeter tests without the burden of managing local load generator infrastructure. Ideal for modern DevOps pipelines seeking codeless test design and real-time reporting dashboards.

Service Level Objectives

  • (2023) thenewstack.io: Simple HTTP Load Testing with SLOs [COMMUNITY-TOOL] — A technical exploration of how modern load testing tools are adopting Service Level Objectives (SLOs) as first-class assertions. It contrasts classical metric collections against modern SLO-driven assertions (e.g., verifying 95th percentile latency is under 100ms), showcasing how to integrate these checks directly into automated deployment flows.

Vegeta

  • (2025) tsenart/vegeta 🌟 ⭐ 25231 [GO CONTENT] 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — Vegeta is an incredibly fast, highly optimized command-line HTTP load-testing tool and library written in Go. From an architectural perspective, it excels at maintaining a constant request rate (RPS) to pinpoint precisely when and where services break down, generating highly customizable text or vector graphic reports.

Web Performance

Industry Acquisitions

  • (2020) devops.com: Catchpoint to Acquire Webpagetest.org [COMMUNITY-TOOL] — An analysis of Catchpoint's acquisition of WebPageTest, the industry-standard front-end performance auditing tool. Synthesizing live ecosystem changes, the platform continues to operate as an essential resource for tracing core web vitals and waterfall execution charts, bolstered by Catchpoint's global infrastructure.

💡 Explore Related: DevOps | SRE | Chaos Engineering

🔗 See Also: Jenkins | Openshift Pipelines