Gatling riviera dev
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This document discusses the importance of load testing software applications before launch. It introduces Gatling, an open-source load testing tool, and FrontLine, its enterprise version. Gatling aims to make load testing usable, maintainable, performant, and integratable. It uses a domain-specific language to simulate user traffic and behaviors. The document emphasizes choosing appropriate metrics for reporting, like percentiles rather than just averages, to accurately capture a system's performance under load. It concludes with a demo of Gatling's features like live dashboards and integration with continuous integration pipelines.
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Sustainable Agile Development
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Amazon CI/CD Practices for Software Development Teams - SRV320 - Anaheim AWS ...
At Amazon, continuous integration and continuous delivery (CI/CD) techniques enable collaboration, increase agility, and deliver a high-quality product faster. In this talk, we walk you through the practices we use for both the CI and the CD of software delivery. For CI, we showcase how we incorporate pull requests to increase team collaboration. We also demonstrate how to optimize CI workflows for speed with caching, code analysis, and integration testing. For CD, we share example safety mechanisms, including canary testing, rollbacks, and Availability Zone redundancy. We use the AWS developer tools that were designed based on the internal Amazon tooling: AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray.
PyCon 9: Continuous Delivery starts at your Development Dnvironment
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Denis Géhanne has over 7 years of experience in project management, quality assurance, and test automation. He has worked on projects in various domains including retail, banking, media, e-commerce, finance, and energy. He is proficient in languages such as Java, PHP, C/C++, C#, HTML, JavaScript, and testing tools including HP ALM, Selenium, and TestComplete. He has held roles as a consultant, project manager, lead QA, and automation engineer at companies including Dassault Systèmes, Smartesting, Canal Plus, BNP Paribas, and Galeries Lafayette. Currently he works as a freelance software editor consultant specializing in quality assurance
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We know that most organizations today are integrating at least some test automation into their CI/CD pipelines. Most start with unit testing – which, while a great place to start, can't give you the level of confidence you need to safely deploy into production.
In this webinar, we'll talk about what other types of testing you should be integrating into the CI/CD pipeline to make test automation more valuable – as well as how to develop an integrated approach using Agile test management. We'll also share best practices for avoiding some of the most common anti-patterns we've identified that make it difficult to scale beyond the unit level. You will learn:
How to get more value out of test automation and minimize the number of defects identified late in the delivery cycle
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Amazon CI/CD Practices for Software Development Teams - SRV320 - Chicago AWS ...
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AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant.
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Gatling - Paris Perf User Group
This document summarizes new features and improvements planned for the Gatling load testing tool. Key points include:
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- Refactoring the expression language to type check values and return failures instead of exceptions.
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- Enhancing checks like regular expressions to support returning tuples instead of just strings.
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Gatling @ Scala.Io 2013
Gatling 2 is planned for 2014 and will include significant refactoring and new features. Some key changes include:
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2. Improvements to the session API to make data access safer.
3. A new templating API that supports string interpolation and external EL templates for simple use cases.
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The document discusses the importance of performance and load testing web applications. It defines performance as how fast, robust, and resource-effective a system is. Load testing involves stressing an application with simulated user load to determine its capacity and stability under heavy usage. The document outlines best practices for load testing methodology, tooling, and interpreting results to optimize performance. It promotes using an asynchronous, non-blocking tool like Gatling for efficient, maintainable load testing that provides meaningful reports.
Gatling Tool in Action at Devoxx 2012
Gatling is a load testing tool that addresses issues with other tools like JMeter. It uses an asynchronous and non-blocking model based on the actor model to more accurately simulate loads. Gatling's DSL and Scala support allow for highly customizable scenarios and checks. It integrates with tools like Maven and Graphite and more features are in development like clustering and websockets support. A demo showed Gatling outperforming JMeter for high load testing of web applications.
Hands On, Duchess 10/17/2012
Gatling is a load testing tool that uses an asynchronous, non-blocking model to address issues with other tools like JMeter. It provides a DSL for writing scalable load tests and integrates with tools like Maven. Gatling aims to make load testing easy, powerful, and maintainable compared to other options. It has been gaining popularity since its first commit in 2011.
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Gatling is an effecient asynchronous stress test tool.
http://gatling-tool.org
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Gatling riviera dev
- 1. Load Testing: Stop Crossing Fingers When Going Live RivieraDEV 18th, May2018 Gatling.io @GatlingTool Stéphane Landelle CEO @slandelle slandelle@gatling.io
- 2. Gatling Corp 2 French (Bagneux, near Paris) Gatling OSS editor Professional Services FrontLine for Enterprise users
- 3. AGENDA Load Testing Gatling & FrontLine Demo
- 4. Load Testing? So What?!?! No Time Complicated Honestly, what could happen?
- 5. Load Testing? So What?!?! Challenges: traffic, time-to-market Damage brand/sales Operating costs
- 7. Load Testing? How? Who? • Experts? • QA, devs, DBA, ops, business? Tools? • provisioning, monitoring, load injectors
- 8. Load Testing? When? When I’m done developing? ASAP?
- 9. Load Injector Simulate traffic and user behaviors ≠ « url basher» (curl, ab, wrk) ≠ web browser
- 10. Gatling 1. Enterprise Grade 2. Performance 3. Usability 4. Reporting 5. Integrations Code, Analyze, Integrate
- 11. Enterprise Grade Solution Open-source: Gatling • Recorder • HTTP, WebSocket, Server-Sent Events, Polling, JMS Community: • AMQP, ZeroMQ, MQTT, JDBC, Cassandra, Kafka, TCP… • Conferences (26 in 2016) Enterprise: FrontLine: • Automation • Clustering • Live Reporting
- 13. Performance: Modern Architecture Messaging: Non blocking IO:
- 14. Performance Ø + load for given hardware Ø - unrealistic results
- 15. Usability Unit and Integration Tests: þ Maintenability (versioning, refactoring, peer review…) þ Devs Involved þ Continuous Integration è Quick Feedback What About Load Tests??? 15
- 16. Maintenabilit y 16 val scn = scenario("BasicSimulation") .exec(http("request_1").get("/")) .pause(5) Graphical Interface Code
- 17. DSL Programming Language JVM libraries Maintenabilit y: Code Checks • regex / css / xpath / jsonPath • find / findAll / count • is / in / not / whatever Structures • doIf / repeat / during / asLongAs • randomSwitch / roundRobinSwitch Error handling • tryMax / exitBlockOnFail Feeders • csv / tsv / jdbc Assert • assertions
- 20. Reporting: Which Metrics? Standard Deviation? 20
- 21. Reporting: Which Metrics? 21 For normal distributions ONLY
- 22. Reporting: Which Metrics? 22 https://www.autodeskresearch.com/publications/samestats Same mean, same std dev
- 23. Reporting: Which Metrics? 23 Percentiles Nth percentile = value ≥ n% of the values 25th 50th 75th 100th (max) 3 6 7 8 8 9 10 13 15 16 20
- 24. Reporting: Which Metrics? 24 Don’t assume distributions! Measure!
- 25. Reporting: Which Metrics? 25 Beware broken implementations!
- 27. Integrations / Automation 27 Continuous Integration Source Control Build ToolsIDE On Prem / On Demand
- 28. Acceptance Criteria A ssertions Reporting in CI 28
- 29. Demo Time! 29
- 30. Thanks & see you soon! Questions? 30