Metric Time Series and Other Misnomers

You may not know it, but the Elastic Stack does awesome things with numbers. Come listen and learn about what we can do, how we got here, and what people are already doing with metrics inside the Elastic Stack.

Transcript

1. ‹#› Brandon Mensing Product Manager, Elastic Metric Time Series and Other Misnomers
2. Google Trends Metrics vs Time Series 2
3. Defining metrics, time series, and data 3 0 50 100 Time Series Analysis: Effort on the presentation 2/1/16 2/4/16 2/7/16 2/10/16 2/13/16 2/16/17 2/19/16 Measurement & Metadata Metric Definition Load of CPU #N & % Collected Each Second Metric Definition
4. Time Series Use Case What are you trying to do? 4 1 2 3 Collect Analyze Visualize
5. Time Series with The Elastic Stack 5 Doc Values Pipeline Aggregations Time Lion • Columnar store • Numbers are fast • Aggregate once • Shame on you • Aggregate twice • Shame on me • The power of plugins • Analyze time series • {re}search project Why now?
6. ‹#› Why Elasticsearch is awesome for time series data from inside out https://www.gitbook.com/book/taowen/tsdb/details
7. ‹#› Another benefit .. you are storing the raw value... You have the ability to ask and answer questions that you didn't think about when the data was stored! Felix Barnsteiner
8. ‹#› The solutions are a specialized time series databases based on open- source technologies and a smart data model to overcome said deficiencies… Columnar storage has several advantages. Sankalan Prasad http://techcrunch.com/2016/02/19/optimizing-analytics-on-time- series-databases-a-supply-chain-perspective/