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Технологический стек платформы th2

Технологический стек платформы th2

Алексей Зверев
Генеральный директор, Exactpro

4 июня 2020
Online Dev Meetup

Алексей расскажет о том, как компания создает современные системы для тестирования бирж и электронных торговых платформ.
Доклад будет полезен всем, кто интересуется новейшими разработками в области высокочастотного трейдинга.

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June 04, 2020
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  1. 1 Build Software to Test Software exactpro.com Build Software to

    Test Software exactpro.com th2 Overview by Exactpro (version 2.0) May 2020
  2. 2 Build Software to Test Software exactpro.com Overview • Focus

    on Complex High Volume Transaction processing systems (In financial sector Trading, Clearing, Settlement, Market Data systems) • Open Source Multi-Component Test Framework • Test Harness or Set of interconnected Test Tools to accommodate the following requirements: ◦ Simulation of multiple endpoints on behalf of upstream and downstream components ◦ Test Data collection and processing ◦ Scenario based automated tests (can be defined in a variety of programming languages) ◦ Rule Based data verification ◦ Model Based System behavior verification ◦ Agent Based Load Generation ◦ KPI Based load Generation ◦ Functional Testing under the load (Testing at the confluence of FT and NFT) ◦ Discover the behavior of System under the test via process mining techniques
  3. 3 Build Software to Test Software exactpro.com Overview • Test

    Data Lake component allows collecting Testing Evidence indefinitely • Flexible Reports Test engine to analyze coverage of testing and discovering gaps • Open Modular Architecture allowing to customize the framework for any environment • Support of industry standard financial protocols (e.g. FIX, SWIFT, FAST etc) • Open documented API allow integration with any Test Tools or Test Management Frameworks already adopted in organization • Ready to be integrated with Machine Learning and AI components • Native to Cloud Environment
  4. 4 Build Software to Test Software exactpro.com Technical Description •

    Microservices managed by Kubernetes • All Raw data and Test Results are fed into central NoSQL test database • Only gRPC and MQ interfaces for communication within the system • Platform agnostic for implementation of Test Components (Java, Python, Kotlin, JavaScript etc for test/rules/models definition, Java, C++ or other for integrations) Any platform supporting Docker, gRPC and ActiveMQ can be integrated into Test Framework • Flexibility and Scalability to process high volume of data.