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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Transcript

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
   

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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
   

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3. 3 Build Software to Test Software
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   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
   

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4. 4 Build Software to Test Software
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   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.
   

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5. 5 Build Software to Test Software
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   Design and Architecture
   

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6. PARSING/ ROUTING
   Messages
   UI
   DASHBOARD
   ML/AI
   Test Events
   ...
   

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7. 7 Build Software to Test Software
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   TH2 - Components (first wave)
   

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