DMYTRO SOBKO
Lead automation QA engineer @EPAM

Speaker with 7+ years of experience in testing of high-loaded applications, certified QA and GCP Data Engineer. Dmytro has designed a variety of automation test frameworks for both functional and performance tests as well as for monolith applications and microservices using Java, Kotlin, Scala and different test frameworks. He is inspired by clean code and great application design.

We are well aware of how to test the REST API with N endpoints, with relational and non-relational (NonSQL) databases. Same thing with UI testing. Frameworks like Selenium, Selenide, Selenoid are not a mystery to anyone. Moreover, creating a reliable, extensible and really cool automated test framework for such applications from scratch is not difficult. But what about BigData projects that have no back-end or front-end in the classical sense? How can we test them? What parts should we cover with tests in the first place? And, besides, how do we introduce automation and make it an effective way for such projects? 

Dmytro will show you how to create a test framework for Cloud Big Data projects from scratch and to develop it in the most optimal way using the most interesting technologies.

IEVGENII VLASYUK
Delivery manager @EPAM

8+ years of development and management experience. Ievgenii’s main focus is all aspects of greenfield front-to-back delivery of distributed solutions and platforms. He believes in DevOps as a culture and that clouds are the future. He has recently dived deeper into big data engineering and competency.

Capturing application events in distributed system is becoming a more and more common task. The modern Kafka eco-system can help to solve this task in an easy and elegant way. A bunch of already-created sources and sinks, SQL syntax and ease of joining data streams will save a lot of time and reduce complexity. However, capturing data is only half the battle. We will also explore how to make use of Elasticsearch to provide advanced analysis of user activities.