Cloud Cost Optimization for Java Developers & JIT Compilation as a Service


Details
Join us for this month's engaging technical presentations on April 17th, 2024, featuring topics on JIT compilation as a service and cloud cost optimization for Java, presented by senior IBM engineer, Rich Hagarty and Azul's Java Champion, Pratik Patil.
We are excited to announce that Azul will be providing complimentary pizza and drinks for all attendees. Plus, don't miss your chance to win a free pair of AirPods in our raffle!
We look forward to seeing you there and exploring these innovative topics together.
Please RSVP so that the right amount of food can be ordered!
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Lightning Talk:
The Next Frontier in Open Source Java Compilers: Just-In-Time Compilation as a Service
For Java developers, the Just-In-Time (JIT) compiler is key to improved performance. However, in a container world, the performance gains are often negated due to CPU and memory consumption constraints. To help solve this issue, the Eclipse OpenJ9 JVM provides JITServer technology, which separates the JIT compiler from the application.
Rich's Bio
Rich Hagarty is a software developer and Developer Advocate at IBM, currently focusing on Java and Open Source related technologies. Based in Austin, TX, Rich has over 25+ years as a software engineer and has been active in the developer community for the past 7 years, working on cloud computing and AI technologies. He has created numerous learning paths, code patterns, articles, and videos - all to help developers understand and utilize IBM and Open Source technologies. Previous to IBM, Rich worked as a software engineer at HP, where he developed hardware device and network management software as well as Open Source solutions. Rich's passion is to engage and share new and exciting technologies with developers.
Main presentation:
Cloud Cost Optimization for Java Developers
Cloud usage has been soaring over the last few years, and now developers are starting to get pressure to reduce cloud spend. In this session, we’ll discuss how to optimize your cloud utilization, and hence how much your team spends, on cloud infrastructure.
We’ll discuss these topics with a specific focus on Java applications:
Architecture of your application
PaaS, CaaS, Cloud Functions or Kube?
JVM ramp-up & optimization time
Headroom for variable load
Over provision or elastic compute?
Pratik's Bio
Pratik Patel is a Java Champion and developer advocate at Azul Systems and has written 3 books on programming (Java, Cloud and OSS). An all-around software and hardware nerd with experience in the healthcare, telecom, financial services, and startup sectors. He's also a co-organizer of the Atlanta Java User Group and North Atlanta JavaScript meetup, frequent speaker at tech events, and master builder of nachos.

Cloud Cost Optimization for Java Developers & JIT Compilation as a Service