The San Francisco Java User Group

Organic search is unquestionably the top way that people find apps and content. What if you could reclaim SEO friendliness, URL addressability in the UI, while supercharging performance at the same time -- all without having to add NodeJS to your stack? JVM engineers have watched for more than a decade as Node turned into a white-hot web application platform. Teams face immense pressure today to write everything in JavaScript! As convenient as this model may be, it shouldn't come at the cost of rich ecosystems like JVM.

I was once skeptical, cherishing my JVM in opposition—the ecosystem, the databases, sockets, the works. The pressure to write isomorphically is undeniable. But there is another way: What if JavaScript could work seamlessly with your server code? Imagine a sidecar JavaScript runtime seamlessly integrated with your app, delivering benchmarks that don’t just rival Node and Deno- but laps them. Join us at the launch event in partnership with SF JUG to be among the first to see Elide in action.

Speaker: Sam Gammon, Founder, Elide
Sam is 31 with 2 decades of engineering experience. With software experience in everything from politics to adtech, Sam has spent time in enough languages to be very tired of the fighting between frontend and backend. He's witnessed too many projects fail for the wrong reasons, and he wants to do something about it. Aside from open source work, Sam has been on the frontline of tech startups, taking on key roles at places like Keen IO, Ampush, and Brigade. At Cookies, he was the brains behind a tech strategy that saw 30+ stores open across 11 states and several countries in less than two years. This is Sam's 5th startup, 3rd as a founder, and 1st in the devtools space.

Developing high-performance large-stream processing applications is a challenging task. Choosing the right tool(s) is crucial to get the job done; as developers, we tend to focus on performance, simplicity, and cost. However, the cost becomes relatively high if we end up with two or more tools to do the same task. Simply put, you need to multiply development time, deployment time, and maintenance costs by the number of tools. Kafka is great for event streaming architectures, continuous data integration (ETL), and messaging systems of record (database). However, Kafka has some challenges, such as a complex architecture with many moving parts, it can’t be embedded, and it’s a centralized middleware, just like a database. Moreover, Kafka does not offer batch processing, and all intermediate steps are materialized to disk in Kafka. This leads to enormous disk space usage. In this talk, we will address these challenges and how real-time stream processing can be used to enhance Kafka pipelines by simplifying deployment and operations with ultra-low latency and a lightweight architecture making it a great tool for edge (restricted) environments. This talk aims to take your Kafka applications to the next level. The combination of Real-time storage and computing provides a unique synergy that enables applications to address real-time use cases at any scale.

Speaker: Fawaz Ghali, PhD

Bio: Fawaz Ghali is Principal Data Science Architect and the Head of Developer Relations at Hazelcast with +22 years of experience in DevRel, cloud, enterprise software development and deployment, ML/AI and real-time intelligent applications, management and leadership. He holds a PhD in Computer Science and has worked in the private sector as well as in academia and research. He has published +45 scientific peer-reviewed papers in the fields of ML/AI, data science and cloud computing on Google Scholar. Fawaz is a renowned expert with +200 talks and presentations at global events and conferences.