July '16 SF Metrics Meetup

This is a past event

80 people went

Heavybit, Inc.

325 9th Street · San Francisco, CA

How to find us

If the front door is closed, enter the building via Ringold Street.

Location image of event venue

Details

Housekeeping: Arrive around 6:30pm to catch up with other quantifiers over food and drinks, talks start at 7:00pm. Space is limited, please RSVP.

Featured Talks:

Turnkey Distributed Tracing with OpenTracing
Ben Sigelman (https://www.linkedin.com/in/bensigelman), Cofounder of Lightstep (http://lightstep.com/)

This talk describes why distributed tracing is important, why its instrumentation presents uncommon standardization problems, and the way that OpenTracing addresses these problems. It's been 12 years since Google started using Dapper internally. Zipkin was open-sourced over 4 years ago. This stuff is not new! Yet if you operate a complex services architecture, deploying a distributed tracing system today requires person-years of engineer effort, monkey-patched communication packages, and countless inconsistencies across platforms. If distributed tracing is so valuable, why doesn't everyone do it already? Because tracing instrumentation has been broken until now. That brings us to the OpenTracing project. OpenTracing is a new, open distributed tracing standard for applications and OSS packages. I will describe how OpenTracing integrates with application code and OSS libraries, how it interoperates with Zipkin, Appdash, LightStep, and other tracing backends, and where the project is headed. We will end with a deep dive of some OpenTracing libraries and show a few demos.

Druid: Realtime Analytics for Metrics Data
Gian Merlino (https://www.linkedin.com/in/gianmerlino), Cofounder and CTO of Imply (http://imply.io/)

Druid is an open source, distributed data store designed to analyze event data. Druid powers user-facing data applications, provides fast queries on data in Hadoop, and helps you glean insights from streaming data. The architecture unifies historical and real-time data and enables fast, flexible OLAP analytics at scale. We will cover Druid's design and architecture, and how Druid can be utilized to monitor metrics data.

----

Legal Drinking Age Required: We will be serving beer at the Meetup. We will not serve alcohol to persons under the age of 21.