Hydra is a tech conference that gathers top-rated scientists and developers willing to dive deep into concurrent and distributed computing. Hydra 2021 was held on June 15-18.
Computing nowadays is inherently concurrent and distributed. Be it a mainstream multi-core machine, a computing cluster, or a large-scale distributed service, a modern computing system involves multiple processes that concurrently perform independent computations and communicate to synchronize their activities. Understanding concurrent and distributed computations is therefore essential to be competitive in practice or research in computer science and engineering.
Aleksey is working on Java performance for 10+ years. Today he is employed by Red Hat, where he does OpenJDK development and performance work. Aleksey develops and maintains a number of OpenJDK subprojects, including JMH, JOL, and JCStress. He is also an active participant in expert groups and communities dealing with performance and concurrency. Prior joining Red Hat, Aleksey was working on Apache Harmony at Intel, then moved to Sun Microsystems, which was later consumed by Oracle.
Associate Professor of Databaseology in the Computer Science Department at Carnegie Mellon University. His research interest is in database management systems, specifically main memory systems, self-driving/autonomous architectures, transaction processing systems, and large-scale data analytics. At CMU, Andy is a member of the Database Group and the Parallel Data Laboratory. He's the co-founder and CEO of OtterTune.
Lena Hall is a Director of Engineering at Microsoft. She is leading a team and technical strategy for product improvement efforts across Big Data services at Microsoft, as a part of Cloud Advocacy in Azure Engineering. Lena has more than 10 years of experience in software engineering with a focus on distributed cloud programming, real-time system design, highly scalable and performant systems, big data analysis, data science, functional programming, and machine learning. Previously, she was a senior software engineer at Microsoft Research. She’s co-organizes a conference called ML4ALL, and is often an invited member of program committees for conferences like Kafka Summit, Lambda World, and others. Lena holds a Master’s degree in computer science.
A former RabbitMQ core-dev, before moving to Europe he used to work in Shanghai where he helped building one of Germany biggest dating websites.
He co-authored the book "RabbitMQ in Action" for Manning Publishing.
Apart from code related activities he likes traveling with his wife, listening/playing music, and reading books.
Andrey is working as a Software Development Engineer at Amazon Aurora. In the past he has worked on: testing a distributed NewSQL database at Yandex, cloud antivirus detection at Kaspersky Lab, an online multiplayer game at Mail.ru, and a foreign exchange pricing service at Deutsche Bank. Andrey is interested in bulding large scale distributed databases and backend systems.
Tech Lead for Network & Compute Services in Yandex.Cloud. Previously, Ivan was leading one of the development teams of the platform for distributed storage and processing of YT data. Ivan is a co-founder of Distributed Systems learning program at the Computer Science Faculty in Higher School of Economics.
Ivan has over 8 years of experience working with Java and started as a C++ developer. For the last 6 years he has been working with in the field of financial markets, previously worked for Otkritie Broker where he was involved in the development of a risk assessment system. Later he led the infrastructure team at one of the largest hedge funds in the US. Now Ivan is trying himself in a new area of Real-time bidding.
Noah is a software engineer at Vectorized working on Redpanda, a high-performance drop-in replacement for Kafka. Previously, he worked on the Rook project at Red Hat focused on Ceph orchestration in Kubernetes. Noah lives in San Francisco, received his Ph.D. from U.C. Santa Cruz in 2018 studying distributed storage systems, and before that was hacking on real-time Linux at the University of Kansas.
Vitaliy Aksenov currently is a researcher at ITMO University. His research focuses on practice and theory of concurrent data structures.
Before ITMO University, Vitaliy was a post-doc in IST Austria under the guidance of professor Dan Alistarh and received his PhD from Paris 7 Diderot and ITMO University under the guidance of professor Petr Kuznetsov.
Producer @ JUG Ru Group, organizes the largest conferences for developers in Russia. In the last 6 years Alexey's team arranged more than 50 conferences. Alexey has a very different background: from Software Engineer @ Oracle (JCK, Java Platform Group) to DevRel @ Odnoklassiniki.
Software Engineer at Workato.
Ivan's areas of interest are distributed systems and databases. He went through different projects and now helps Workato to make their platform even better.
We would not be able to hold Hydra on a regular basis without the tremendous support of our partners. Our conference is growing and evolving thanks to their efforts.
About
GridGain is an international product software company based in Silicon Valley, whose engineering team is located throughout Russia and other countries. GridGain donated a major part of their product source code to the Apache Software Foundation (ASF) as Apache Ignite in 2014. Since then, Apache Ignite became one of the top 5 ASF projects.
As middleware, GridGain and Apache Ignite both are an in-memory computing platform and a distributed database designed to tackle speed and scale challenges. Among our customers are Microsoft, IBM, American Express, Sber, Barclays, CITI, Hewlett Packard, ING, American Airlines, MTS, Ring Central, UnitedHealth Group, UPS and many others.
About
GridGain is an international product software company based in Silicon Valley, whose engineering team is located throughout Russia and other countries. GridGain donated a major part of their product source code to the Apache Software Foundation (ASF) as Apache Ignite in 2014. Since then, Apache Ignite became one of the top 5 ASF projects.
As middleware, GridGain and Apache Ignite both are an in-memory computing platform and a distributed database designed to tackle speed and scale challenges. Among our customers are Microsoft, IBM, American Express, Sber, Barclays, CITI, Hewlett Packard, ING, American Airlines, MTS, Ring Central, UnitedHealth Group, UPS and many others.
About
Querify Labs helps technology companies build innovative data management products. The company designs and creates query engines and optimizers, storage components, and protocols for distributed data processing.
Telegram channel about distributed systems, storages, performance and scalability.
If you want to become a partner of our conference, please contact us via email: partners@hydraconf.ru.