Name: March '18 SF Metrics Meetup
Start: 2018-03-07T18:30:00-08:00
End: 2018-03-07T20:30:00-08:00
Location: Heavybit, Inc.

Talks:

1. Observability Isn't Monitoring - Baron Schwartz, CEO @ VividCortex (https://twitter.com/xaprb)

2. PostgreSQL as Persistent Storage for Prometheus Metrics - Mike Freedman, Co-Founder & CTO @ TimescaleDB (https://www.timescale.com, Twitter: @TimescaleDB)

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Observability Isn't Monitoring

What is observability? It's not monitoring, that's what it is. But seriously, let's talk about the seven golden signals, the relationship and difference between concepts like observability, monitoring, telemetry, and instrumentation, and how to build highly observable services.

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PostgreSQL as Persistent Storage for Prometheus Metrics

Time-series data is now everywhere and increasingly used to power core applications. Yet it creates a number of technical challenges around ingesting high volumes of data, supporting complex queries for recent and historical time intervals, and performing time-centric analysis and data management. Meanwhile, Prometheus and Grafana have emerged as a popular duo for collecting, querying, and graphing metrics. But while Prometheus has its own time-series storage subsystem for metrics monitoring, users sometimes need richer time-series analysis as well as the ability to join such data against other relational data to answer key business questions.

In this talk, we take a somewhat heretical stance in the monitoring world, and describe why and how we view an enhanced Postgres as an effective Prometheus backend to support those complex questions (and get a proper SQL interface). We present pg_prometheus, a new native Prometheus datatype for Postgres, as well as a remote storage adaptor that allows Prometheus to write directly to a Postgres database. We also describe our work with TimescaleDB, a new open-source database designed for time-series workloads, engineered up as a PostgreSQL extension. In transforming PostgreSQL into a scalable time-series database, TimescaleDB serves as a powerful persistent store for Prometheus.

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Doors open at 6:30pm. Catch up with other #monitoringlove folk over food and drinks. Talks start at 7:00pm and end at 8pm. Space is limited, please RSVP.

This event will be live-streamed at heavybit.com/live/ (http://www.heavybit.com/live/).

San Francisco Metrics Meetup

Technology

Data Visualization

Big Data

Performance Monitoring

Metrics

Data Analytics

DevOps

March '18 SF Metrics Meetup

Heavybit, Inc.

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