Performance testing with 100,000 concurrent users in AWS

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This document discusses performance testing an application with 100,000 concurrent users. It outlines some of the challenges with performance testing at scale on a single node. The proposed solution is to build and deploy the application, create load test slave instances, run a test plan against the new environment from the slaves, and then clean up by shutting down instances. Key lessons learned include issues found and fixed related to garbage collection and serialization, bottlenecks identified, and challenges scaling test clients. Performance testing is integrated into continuous integration to measure performance for each test case with each build.

Performance Testing
@
With 100,000 concurrent users

WHO ARE WE
• AWS for most client projects and our own
• Enterprise/Solution Architecture + Development
• Performance Engineering, Profiling,
Optimization
• "DevOps"
• AWS for most client projects and our own

WHAT WE WANTED
Performance test applications with
100,000 concurrent users
(Websocket + HTTP)
• Easy to use
• Traceable history of tests
• Good fit with modern DevOps processes
• Low maintenance and cost

99 Problems
Quickly max out a single test node
(or even 10 of them)
Performance tests should be available to whole
team
(not just the guru)
Shouldn't have to write another App
(or pay A LOT for one)

STEP 1
Build App
(Compile, Test,
Package)

STEP 2
Build your environment (Puppet, Chef, etc)
Deploy new application version

STEP 4
Start running the test plan against new
environment

STEP 5
• Test slaves return results to Jenkins.
• Then clean up
• Shut down instances
• Snapshot new AMI

PIPELINE
Build app -> Create test env + Deploy -> Test new
environment

LESSONS LEARNED 1/2
• Performance problems found and fixed
Garbage Collection, Serialization and encoding
• Very helpful when sizing infrastructure
Webservice tier network was bottleneck
Different instance sizes picked
• Scaling the test clients can be hard

LESSONS LEARNED 2/2
• Performance testing via ELB
• Ramp up slowly
• Make sure client see DNS changes
• ELB's not great for Websocket
• Linux tuning
• Ephemeral port range
• Buffers everywhere
• File handles, flood protection, etc
• It does a pretty good job by default

Results & Deep Insight
Deep Insight with dynaTrace APM beyond simple JMeter results
Clearly understand the difference between:
• Load generation
• Real User Monitoring
• Always-on deep transaction tracing

TEST AUTOMATION / CI
• Unit Tests are fully integrated as part of CI
• Each build also measures performance for each testcase

BONUSES
Easily re-used for different types of build/testing
• BYO load test tool
• Spot instances are cheaper
• Not just for load testing
• Test Chef/Puppet scripts
• OS updates
• Browser based (Webdriver, PhantomJS, etc)
• Auto-scale testing
• Snapshot AMI after successful tests

Questions ?
Thanks !
Twitter: msquareau
http://m-square.com.au

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Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

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Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Tobias Schneck

As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

UiPath Test Automation using UiPath Test Suite series, part 4

DianaGray10

Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap. The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies. Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques What will you get from this session? 1. Insights into SAP testing best practices 2. Heatmap utilization for testing 3. Optimization of testing processes 4. Demo Topics covered: Execution from the test manager Orchestrator execution result Defect reporting SAP heatmap example with demo Speaker: Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

The Future of Platform Engineering

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Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...

UiPathCommunity

💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™: See how to accelerate model training and optimize model performance with active learning Learn about the latest enhancements to out-of-the-box document processing – with little to no training required Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath. Speakers: 👨‍🏫 Andras Palfi, Senior Product Manager, UiPath 👩‍🏫 Lenka Dulovicova, Product Program Manager, UiPath

Designing Great Products: The Power of Design and Leadership by Chief Designe...

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