The Future of Cloud Computing and Databases

Zigmars Rasscevskis, Chief Executive Officer, Clusterpoint

Mon. June 8, 2015 6:30pm
New York City
Free pizza, T-Shirts/swag, beer/drinks + win an Oculus Dev Kit!

Zigmars Rasscevskis

Chief Executive Officer, Clusterpoint

The Future of Cloud Computing and Databases

In 1945 mathematician and physicist John von Neumann proposed an architecture of a computer that became vastly successful. Today all commercially successful computer designs follow the same set of principles.

About 50 years later people have discovered that no single computer is sufficient to solve the biggest computational problems that mankind has, like indexing all the content published on the web. Today even small businesses have started to run into computational problems for which single-server systems become limiting.

Unlike computers that are designed following clear guiding principles of the von Neumann architecture, designing computing clusters is still immature. Conventional view of cloud computing sees it as infrastructure-to-rent server instances or container boxes.

When it comes to distributing computation, and scaling it to thousands of CPUs in milliseconds, there is no widely accepted architecture blueprint that outlines how it can be done.

In this talk you will learn how distributed databases can serve as a solid foundation for massively-parallel and instantly-scalable distributed computing. We will also discuss leveraging NoSQL technologies, and its community, as it contributes to the architecture of a 'future computer.'

We will also cover practical matters of large-scale distributed system design as they are relevant to the database field, such as:

  • Failure tolerance of distributed systems - by design, distributed systems with state replication are resistant against most forms of single machine failures but the real key in distributed system design is avoiding correlated failures due to common cause that can be fatal for an entire system.
  • Difficulties of performance guarantees in multi-tenant environment - effective workload scheduling and low-level resource prioritization and isolation are key techniques for achieving predictable performance.

Zigmars Rasscevskis

Chief Executive Officer,

After eight years, Zigmars left his senior engineering position at Google to join Clusterpoint, seeing the importance of NoSQL database technology that is available to developers worldwide. Zigmars has worked across different areas of engineering at Google including Cluster Management and Product Search, and in his last position, he served as engineering manager of the Websearch backend team in Zurich. His experience in building the largest, most scalable search engine in the world has made him believe in the utility of distributed systems.

At Clusterpoint Zigmars is happy to lead a team focused on NoSQL database technology that makes a difference for developers and organizations by taking care of the complexity of data management. The key factor for Zigmars to join Clusterpoint was its commitment of the team to innovation in database technology.

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