How to Build a Highly Available Time-Series Solution with KairosDB

ON-DEMAND WEBINAR

A highly available time-series solution requires an efficient tailored front-end framework and a backend database with a fast ingestion rate. KairosDB provides a simple and reliable way to ingest and retrieve sensors’ information or metrics, while Scylla provides a highly reliable and performant backend database that scales indefinitely, and can store large quantities of time-series data.

Join ScyllaDB solution architect Eyal Gutkind and Proofpoint engineer Brian Hawkins for an informative webinar on...

Steps for building an efficient TSDB solution with Scylla and KairosDB
Real-world use cases and metrics
Considerations when choosing time series solutions

Speaker bio

Brian Hawkins
Staff Engineer, Proofpoint
Brian is a Staff Engineer at Proofpoint. He created KairosDB, a time series solution that runs on top of Cassandra or Scylla.

Tomer Sandler
Solution Architect, ScyllaDB
Tomer Sandler joined ScyllaDB as a solution architect after a 12 year career in SW Quality Engineering, mostly in storage and telecom lawful interception domains. Prior to ScyllaDB, Tomer held various QA management roles at Dell EMC, leading a group of QA engineers and information developers for ScaleIO storage, and at VERINT, as Senior QA engineer working with U.S. and Spanish Law Enforcement Agencies customers engagement experience. In his free time he enjoys hiking, playing the saxophone, spending time with his family and last but not least engaging in OSINT (Open Source Intelligence) research.

Eyal Gutkind
Solution Architect, ScyllaDB
Eyal Gutkind is a solution architect for ScyllaDB. Prior to joining ScyllaDB, Eyal held product management roles at Mirantis and DataStax, and spent 12 years with Mellanox Technologies in various engineering management and product marketing roles. Eyal holds a BSc. degree in Electrical and Computer Engineering from Ben Gurion University in Israel and an MBA from Fuqua School of Business at Duke University.

How to Build a Highly Available Time-Series Solution with KairosDB

Pragmatic advice and real-world examples of TSDB success

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Speaker bio