Aerospike: Up and Running

Dr. Srini V. Srinivasan is the CTO and Founder of Aerospike. When it comes to databases, he is one of the recognized pioneers of Silicon Valley. Srini has two decades of experience designing, developing and operating highly scalable infrastructures. He also has over a dozen patents in database, web, mobile and distributed systems technologies. Srini co-founded Aerospike to solve the scaling problems he experienced with Oracle databases while he was Senior Director of Engineering at Yahoo.

Tim Faulkes is an enterprise application architect with over twenty years of global experience in delivering technical solutions to business problems at an enterprise level. His specialties include application architecture and design, technical team leadership, mentoring and educating developers and liaising between business and technical teams to ensure high value solutions are delivered in a timely and effective manner. Tim is currently the Chief Developer Advocate at Aerospike.

Albert Autin is the Lead Database Reliability Engineer at The Trade Desk. His current responsibilities include managing the data ingestion team, advising and optimizing on data structures and access patterns in the Aerospike ecosystem, and creating and testing new capacity planning methods. Albert also works with business and project leadership to plan and prioritize short and long term goals. He has over a decade of experience working with the Aerospike database.

Paige Roberts has worked as an engineer, trainer, support technician, technical writer, industry analyst, marketer, product manager, and consultant in over 25 years in the data management and analytics industry. She has built data engineering pipelines, architected, documented, and tested open source analytics implementations, and questioned a lot of assumptions. Paige has worked for companies like Pervasive, the Bloor Group, Actian, Hortonworks, Syncsort, Vertica, and thatDot. Now, she promotes understanding of streaming graph analytics, distributed data processing, open source, large-scale data engineering architectures, and how the analytics revolution is changing the world.