Pulsar Summit San Francisco is the event dedicated to Apache Pulsar. This one-day, action-packed event will include 5 keynotes, 12 breakout sessions, and 1 amazing happy hour. Speakers are from top companies, including Google, AWS, Databricks, Onehouse, StarTree, Intel, ScyllaDB, and more! It’s the perfect opportunity to network with Pulsar thought leaders in person.
Join developers, architects, data engineers, DevOps professionals, and anyone who wants to learn about messaging and event streaming for this one-day, in-person event. Pulsar Summit San Francisco brings the Apache Pulsar Community together to share best practices and discuss the future of streaming technologies.
Apache Pulsar PMC Chair, CTO, StreamNative
Matteo is the CTO at StreamNative, where he brings rich experience in distributed pub-sub messaging platforms. Matteo was one of the co-creators of Apache Pulsar during his time at Yahoo!. Matteo and Sijie worked to create a global, distributed messaging system for Yahoo!, which would later become Apache Pulsar. Matteo then co-founded Streamlio with Guo, and later served as the Senior Principal Software Engineer at Splunk post-acquisition. Matteo is the PMC Chair of Apache Pulsar, where he helps to guide the community and ensure the success of the Pulsar project. He is also a PMC member for Apache BookKeeper. Matteo lives in Menlo Park, California.
Chief Architect and Head of Cloud Engineering, StreamNative
Addison Higham has deep experience with streaming technologies such as Flink and Spark. Seeking a new stream storage technology for his previous company, Instructure, Addison discovered Pulsar and quickly became a Pulsar champion and drove the company’s adoption of the technology. Addison then joined StreamNative, where he leads development of StreamNative Cloud and helps customers to successfully adopt Pulsar. Addison lives in Salt Lake City, Utah.
Director of Engineering, Splunk
Henry Saputra is Director of Engineering at Splunk and currently responsible for leading the Messaging and Ingest Platform as part of Splunk Data Platform Engineering – the team responsible for developing and running large scale Apache Pulsar deployment in the Splunk cloud ecosystems. Henry is also a member of the Apache Software Foundation and PMC for several of the top-level Apache projects, such as Apache BookKeeper and Apache Flink.
Senior Staff Engineer, Databricks
Sanjeev Kulkarni comes from Databricks where he works on their analytical platform. Prior to Databricks, Sanjeev was working at Splunk on their Data Stream Processor product. Sanjeev was the co-founder and CTO of Streamlio which led the development of Apache Pulsar. Prior to Streamlio, Sanjeev led the streaming-compute team at Twitter where he and his team were responsible for developing next generation technologies for Twitter's ever growing real-time needs, dubbed Apache Heron. He was also an early member of Google's Adsense product. He holds a B.Tech in Computer Sciences from IIT Guwahati and MS in Computer Science from UW-Madison.
Senior Developer Advocate, AWS
Ricardo is Senior Developer Advocate at AWS, working in the developer relations team for North America. With +20 years of experience, he may have learned a thing or two about distributed systems, messaging, fast data analytics, databases, and observability. Before AWS, he worked for software vendors like Elastic, Confluent, and Oracle. Ricardo is well known for his remarkable ability to explain complex topics. He cunningly breaks them down into bite-sized pieces until anyone can understand. While not working, he loves barbecuing in his backyard with his family and friends, where he finally gets the chance to talk about anything unrelated to computers. He currently lives in North Carolina, USA, with his wife and son.
Apache Pulsar PMC Member, Engineering Coach, Streaming Customer Reliability Engineering, DataStax
Lari Hotari is an Apache Pulsar committer and PMC member. He has worked on the Java platform since 1997 and has contributed to open source for over 20 years.
Senior Staff Developer Advocate, Databricks
Denny Lee is a Developer Advocate at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers. His current technical focuses include Distributed Systems, Apache Spark, Deep Learning, Machine Learning, and Genomics.
Apache Pinot PMC Member, Co-Founder, StarTree Inc
Xiang Fu is the co-founder at StarTree, a cloud-native analytics platform to build the next generation of data analytics applications for millions of users. Prior to that, he was the architect at Uber's data platform team solving streaming data serving, processing, and analytics problems at a large scale. Xiang is also the founder and a PMC member of Apache Pinot, a realtime, distributed OLAP datastore.
Steven has been an architect of Cloud Service for the last ten years, having worked on very different aspects of the cloud like DDoS detection, BigData / Observability and Serverless Cloud Services. Early adopter of stream computing since 2012, he embraced Apache Pulsar a few years ago as his prefered messaging layer for both products and infrastructure and gave some talks in Europe to help evangelize the technology.
Founder and CEO, Onehouse
Vinoth Chandar is the creator and PMC chair of the Apache Hudi project, a seasoned distributed systems/database engineer and a dedicated entrepreneur. During his time at Uber he created Hudi, which pioneered transactional data lakes as we know them today, as a way to solve unique needs of speed and scale for Uber’s massive data platform. Vinoth has deep experience with databases, distributed-systems and data systems at planet-scale, strengthened through his work at Oracle, Linkedin, Uber and Confluent. Most recently, Vinoth founded Onehouse - a cloud-native managed lakehouse to make data lakes easier, faster and cheaper.