Lundi 21 novembre 2022 @ Sophia-Antipolis :  soirée Hazelcast

Le Riviera JUG organise une rencontre gratuite sur le thème d'Hazelcast le lundi 21 novembre 2022 à partir de 18h dans les locaux de Amadeus Sophia Antipolis.

Cette soirée sera entièrement présentée par Fawaz Ghali, d'Hazelcast donc.

Notez que vous pouvez entrer sur le site d'Amadeus avec votre véhicule et vous garer à 2 pas (si vous avez de grandes jambes) de l'amphi où aura lieu la soirée !

Ne manquez pas cette soirée !  emoticon_smile

Réservation

Programme

Ce programme est susceptible de changer selon des imprévus prévisibles.

HoraireDescription
18:00 - 18:30Accueil
18:30 - 19:30Premier talk
19:30 - 20:00Buffet, boissons
20:00 - 21:00Deuxième talk
21:00

Troisième mi-temps dans un resto quelque part !

Sponsors

SponsorRôles
amadeus.png   Salle

Pour venir

Amadeus, main site, Mistral auditorium
485 Rte du Pin Montard
06410 Biot

Garez-vous à l'intérieur du site !

Plan d’accès

Detailed program

Best Practices for Building High Performance Real-time Stream Processing Microservices

Real-time stream processing is growing exponentially in recent years, businesses need to gather insights from real-time data as soon as it’s generated. To do this, developers and software architects use various pipelines and tools to capture and process data in motion. Real-time stream processing has its own challenges such as testing and life-cycle management, scaling and performance, event time and late events, streaming fault tolerance, and processing guarantees. In this talk, I will address those challenges and demonstrate the best practices for real-time stream processing, from data ingestion to data processing with ultra-low latency at scale and at speed, using the Hazelcast platform. I will discuss how you can optimize your real-time streaming projects in the following areas: scalability, performance, failover, reliability, and data recovery.

Concurrency without migraines

As businesses grow, many applications will at some point run into scaling issues — what works fine at low transaction, volumes don’t work well, or at all, at high volumes. 
In-Memory technology solutions like the open-source Hazelcast Platform have helped many businesses overcome their scaling issues to provide high throughput and low latency at tremendous scale. But even among long-time users of the platform, there is a tendency to focus on the in-memory storage (or caching) aspects of the solution.
In this talk, we’ll focus on how in-memory compute APIs help leverage the processing capabilities of a distributed cluster, so you aren’t leaving large potential performance gains on the table.  The combination of in-memory storage and in-memory computing provides a unique synergy that enables applications to address real-time use cases at any scale.

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About the speaker

Fawaz Ghali

Fawaz Ghali

Fawaz Ghali is the Developer Advocate at Hazelcast with 20+ years’ experience in software developments, machine learning and real-time intelligent applications. He holds a PhD in Computer Science and has worked in the private sector as well as Academia as a Researcher and Senior Lecturer. He has published over 46 scientific papers in the fields of machine learning and data science. His strengths and skills lie within the fields of low latency applications, IoT & Edge, distributed systems and cloud technologies.

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