Name: Conquer Application Performance Challenges with In-Memory Computing
Start: 2020-05-06T18:00:00+01:00
End: 2020-05-06T19:00:00+01:00

ATTENTION:
The health and well-being of our user community is our highest priority. Due to the existing COVID-19 health challenges, we are moving all of our Meetups online until things return to normal.

SCHEDULE:
6:00-6:10 PM: Gather online, introductions, and online raffle entry
6:10-6:50 PM: Val's Presentation
6:50-7:15 PM: Questions and raffle winners announced

ABSTRACT:
Distributed platforms, like Apache Ignite®, rely on horizontal scalability. More machines in the cluster lead to application performance improvements. But do we always double the speed of the application performance after adding a second machine to the cluster? Does it perform ten times faster after adding ten machines? Is that [always] true? What is the responsibility of the platform? And where do engineers’ responsibilities begin?

In this talk, attendees will learn about the challenges architects face when designing distributed systems:

Advantages and disadvantages of different data algorithms.
Effective data models for distributed environments. Synchronization and coordination in distributed systems.

SPEAKER BIO:
Valentin Kulichenko, Solutions Architect at GridGain Systems
LinkedIn: https://www.linkedin.com/in/vkulichenko/

Valentin Kulichenko is a software engineer, solutions architect, and a distributed systems enthusiast. He has been working with in-memory distributed systems since 2010.

Valentin currently holds the position of Lead Architect at GridGain Systems. He contributes to GridGain’s Enterprise products, works directly with large scale customer deployments, manages proof-of-concept projects and technical support engagements. He is also a passionate open-source Apache Ignite community member. He dedicates his time to public speaking, contributing code and providing technical help through the dev and user mailing lists.

RAFFLE:
We will be raffling three (3) helpful engineering and technical e-books during the Meetup. A link will be provided at the beginning of the presentation and winners will be announced at the end of the session.

Kseniya Romanova

London In-Memory Computing Meetup

IMC Meetups

Technology

Java

Open Source

MySQL

Cloud Computing

Hadoop

Big Data

Machine Learning

Data Science

Distributed Systems

Fast Data

Apache Spark

Kubernetes

In-Memory Computing

Conquer Application Performance Challenges with In-Memory Computing

Online event

London In-Memory Computing Meetup

Conquer Application Performance Challenges with In-Memory Computing

London In-Memory Computing Meetup

Детали

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