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The LJC is delighted to continue our new series of events, aimed at giving all Community members an opportunity to present at an LJC meet-up.
If you have an interesting topic to share, these events are for you. You donβt have to be an experienced speaker - we want to hear your story and offer you a friendly, informal platform to practise and improve your presentations.
For attendees we want this to be a meeting place, where you can talk and network with other technologists in London.
If youβd like to speak at a future event, please submit your talk and bio details here: https://sessionize.com/ljc/
Huge thanks to our friends at Elastic for hosting this event and supporting our Community.
Speaker One:
Carly Richmond - Developer Advocate & Manager @ Elastic
Talk: How to Destroy a Software Engineer
@Retaining Software Developers is a significant challenge for teams. According to the Infragistics Reveal Survey, 37.5% of respondents expected difficulty in finding developers in 2023. To retain talent and keep DevOps engineers happy, we need to know how to make them unhappy.
Join me as I discuss antipatterns in management, development, testing and monitoring patterns that can stop you retaining awesome software engineers.
Outline
Speaker Two:
Alisher Alimov - Software Engineer at NVIDIA
Talk: Transition to a reactive architecture
The presentation is focused on practical aspects of transition to reactive architecture. It discusses the problems of processing large volumes of requests and managing distributed services. The presentation emphasizes moving from traditional blocking operations to non-blocking, asynchronous processes to improve scalability, fault tolerance, and performance.
Key points include:
The goal of the presentation is to educate the audience on the benefits of moving from blocking operations to a more efficient, reactive approach, ultimately leading to more responsive and scalable systems.
This event is organised by RecWorks on behalf of the London Java Community.
The London Java Community is sponsored by Hazelcast, Neo4j, Redis, and Discover
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