Jess Ingrassellino [InfluxData] | How to Get Data Into InfluxDB | InfluxDays EMEA 2021

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There are many ways to collect and store data in InfluxDB. Learn more about Telegraf, Client SDKs, Direct API, CLI, UI Uploader and Flux. InfluxDB's CLI can handle CSV’s and Line Protocol. Discover how to use Flux pull data into InfluxDB.

Technology

Jess Ingrassellino, Engineering Manager
Data Acquisition & Telegraf
Get Your Data Into
InﬂuxDB

© 2021 InﬂuxData. All rights reserved. 2
| Get Your Data Into InﬂuxDB: Agenda
Telegraf
Client Libraries
API
Command Line Tools
UI Data Loading
Flux from
Best Practices

© 2021 InﬂuxData. All rights reserved. 4

© 2021 InﬂuxData. All rights reserved. 5
~ 300 plugins (input, output, processor, aggregator)
Single Binary
Extensible in any language with ExecD
Low and no-code options
Robust Agent: scheduling, streaming, metrics routing, more
| What’s so great about Telegraf?

© 2021 InﬂuxData. All rights reserved. 6
Using Telegraf
Download telegraf binary for your operating system
Edit the conﬁguration ﬁle to use the plugins of your choice (via UI or in the
text editor of your choice)
Run Telegraf

Getting data in using diﬀerent languages
Client Libraries

© 2021 InﬂuxData. All rights reserved. 8
Client Libraries
Arduino
C#
Go
Java
Kotlin
Node.js
PHP
Python
Ruby
Scala
Swift

© 2021 InﬂuxData. All rights reserved. 10
https:/
/docs.inﬂuxdata.com/inﬂuxdb/v2.0/write-data/developer-tools/api/
What’s required for a request?

© 2021 InﬂuxData. All rights reserved. 11
https:/
/docs.inﬂuxdata.com/inﬂuxdb/v2.0/write-data/developer-tools/api/
A sample request (uncompressed)

© 2021 InﬂuxData. All rights reserved. 12
https:/
/docs.inﬂuxdata.com/inﬂuxdb/v2.0/api/#operation/PostWrite
Expected Response Codes

CSV and Line Protocol
Command Line Tools

© 2021 InﬂuxData. All rights reserved. 14
InﬂuxDB Write
https:/
/docs.inﬂuxdata.com/inﬂuxdb/v2.0/reference/cli/inﬂux/write/
Writes data to InﬂuxDB via stdin or from a speciﬁed ﬁle, ﬁles, url, or urls
Line Protocol, annotated CSV, or extended annotated CSV

© 2021 InﬂuxData. All rights reserved. 15
InﬂuxDB Write: Examples
https:/
/docs.inﬂuxdata.com/inﬂuxdb/v2.0/reference/cli/inﬂux/write/

Test and Explore with Low and No-code options
UI Data Loading

© 2021 InﬂuxData. All rights reserved. 17
Load Data with the UI
Login to your cloud account and select your client library, telegraf plugin, or template
Edit your conﬁguration in the UI and get url for your cloud instance
Run your conﬁguration and see your data ﬂow!

© 2021 InﬂuxData. All rights reserved. 19
| Using Flux from
Flux from retrieves data from an InﬂuxDB data source
Returns a stream of tables from a speciﬁed bucket
Contains each unique series in its own table
Each record in the table is a single point in the series
https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/optimize-writes/

© 2021 InﬂuxData. All rights reserved. 20
| Flux from example usage
https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/optimize-writes/

© 2021 InﬂuxData. All rights reserved. 22
| Optimize Writes
Batch Writes
Sort Tags By Key
Use the coarsest time precision possible
Use gzip compression
Synchronize hosts with NTP
Write multiple data points with one request
https:/
/docs.inﬂuxdata.com/inﬂuxdb/v2.0/write-data/best-practices/optimize-writes/

© 2021 InﬂuxData. All rights reserved. 23
| Handle Duplicate Data Points
Duplicate Data Points
Preserve Duplicate Data Points
Add arbitrary tag
Implement the timestamp
https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/duplicate-points/

© 2021 InﬂuxData. All rights reserved. 24
| Schema Design Recommendations
Storing data
Store commonly-queried meta data in tags.
Store data in ﬁelds if each data point contains a diﬀerent value.
Store numeric values as ﬁelds (tag values only support string values).
Use recommended naming conventions
avoid keywords in tag and ﬁeld names
avoid the same tag and ﬁeld name
avoid encoding data in measurement names
avoid more than one piece of information in one tag
Avoid too many series
https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/schema-design/

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FlowForge enables organizations to reliably deliver Node-RED applications in a continuous, collaborative, and secure manner. Node-RED is the popular, low-code programming solution that makes it easy to connect different services using a visual programming environment. InfluxData is the creator of InfluxDB, the purpose-built time series database run by developers at scale and in any environment in the cloud, on-premises, or at the edge. Jump-start monitoring your industrial IoT devices and discover how to build an edge-to-cloud solution with the MING stack. The MING stack includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana. This solution can be used to improve fleet management, enable predictive maintenance of industrial machines and power generation equipment (i.e. turbines and generators) and increase safety practices (i.e. buildings, construction sites). Join this webinar to learn best practices from industrial IoT SME's. In this webinar, Robert Marcer and Jay Clifford dive into: Best practices for monitoring sensor data collected by everyone — from the edge to the factory Tips and tricks for using Node-RED and InfluxDB together Demo — see Node-RED and InfluxDB live

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Rust is a systems programming language designed for high performance, type safety, and concurrency. According to Stack Overflow’s annual survey in 2022, Rust is the most loved language with 87% of developers saying they want to continue using it. The same survey also reported that nearly 20% of developers aren’t currently using Rust, but want to start developing using it. Ockam’s suite of programming libraries, command line tools, and managed cloud services enable developers to orchestrate end-to-end encryption. InfluxDB is the purpose-built time series database developed to handle time series data for IoT, monitoring, and real-time analytics. Ockam was originally developed using C, and InfluxDB was originally written using Go; both solutions have been completely rewritten in Rust. Discover why two founders decided to rewrite their developer tools using Rust, and gain insight into the strategy beforehand and the entire process. Join this live panel as Mrinal Wadhwa and Paul Dix dive into: Their approach to rewriting a project in Rust How to build and train engineering teams Tips and tricks learned along the way - pitfalls to look out for! Join this webinar as there will be a live discussion with Q&A

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Many developers and DevOps engineers have become aware of using their observability data to gain greater insights into their infrastructure systems. InfluxDB is the purpose-built time series database used to collect metrics and gain observability into apps, servers, containers, and networks. Developers use InfluxDB to improve the quality and efficiency of their CI/CD pipelines. Start using InfluxDB to aggregate infrastructure and application performance monitoring metrics to enable better anomaly detection, root-cause analysis, and alerting. This session will demonstrate how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source time series database — InfluxDB. Zoe will demonstrate how easy it is to set up the OpenTelemetry Operator for Kubernetes and to store and analyze your data in InfluxDB.

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American Metal Processing Company ("AMP") is the US' largest commercial rotary heat treat facility with customers in the automotive, construction, military, and agriculture industries. They use their atmosphere-protected rotary retort furnaces to provide their clients with three primary hardening services: neutral hardening (quench and temper), carburizing, and carbonitriding. This furnace style ensures consistent, uniform heat treatment process vs. traditional batch-or-belt-style furnaces; excels at processing high volumes of smaller parts with tight tolerances; and improves the strength and toughness of plain carbon steels. Discover why AMP’s use of Telegraf, InfluxDB, Node-RED, and Grafana allows them to gain 24/7 insights into their plant operations and metallurgical results. Learn how they use time-stamped data to gain accurate metrics about their consumables usage, furnace profiles, and machine status. Join this webinar as Grant Pinkos dives into: American Metal Processing's approach to heat treating in a digitized environment through connected systems Their approach to collecting and measuring sensor data to enable predictive maintenance and improve product quality Why they need a time series database for managing and analyzing vast amounts of time-stamped data

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Delft University is the oldest and largest technical university in the Netherlands with 25,000+ students. Since 1999, they have had a team of students (undergraduate and graduate) designing, building, and racing cars, as part of the Formula Student worldwide competition. The competition has grown to include teams from 1K+ universities in 20+ countries. Students are responsible for all aspects of car manufacturing (research, construction, testing, developing, marketing, management, and fundraising). Delft University's team includes 90 students across disciplines. Discover how Delft University's team uses Marple and InfluxDB to collect telemetry and sensor metrics while they develop, test, and race their electrics cars. They collect sensor data about their EV's control systems using a time series platform. During races, they are collecting IoT data about their batteries, accelerometer, gyroscope, tires, etc. The engineers are able to share important car stats during races which help the drivers tweak their driving decisions — all with the goal of winning. After races, the entire team are able to analyze data in Marple to understand what to do better next time. By using Marple + InfluxDB, their team are able to collect, share and analyze high frequency car data used to make their car faster at competitions. Join this webinar as Robbin Baauw and Nero Vanbiervliet dive into: Marple's approach to empowering engineers to organize, analyze, and visualize their data Delft University's collaborative methodology to building and racing their Formula-style race car How InfluxDB is crucial to their collaborative engineering and racing process

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balena.io helps companies develop, deploy, update, and manage IoT devices. By using Linux containers and other cloud technologies, balena enables teams to quickly and easily build fleets of connected devices. Developers are able to use containers with the language of choice and pull IoT sensor data from 70+ different single board computers into balenaCloud. Discover how to use balena.io to automate your InfluxDB deployments at the edge! During this one-hour session, experts from balena and InfluxData will demonstrate how to build and deploy your own air quality IoT solution. You will learn: The fundamentals of IoT sensor deployment and management using balena. How to use a time series platform to collect and visualize metrics from edge devices. Tips and tricks to using balenaCloud to automate InfluxDB deployments and Telegraf configurations. How to use InfluxDB's Edge Data Replication feature to collect sensor data and push it to InfluxDB Cloud for analysis. No coding experience required, just a curiosity to start your own IoT adventure.

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1. Jess Ingrassellino, Engineering Manager Data Acquisition & Telegraf Get Your Data Into InﬂuxDB

3. Extensive Plugin Ecosystem Telegraf

5. © 2021 InﬂuxData. All rights reserved. 5 ~ 300 plugins (input, output, processor, aggregator) Single Binary Extensible in any language with ExecD Low and no-code options Robust Agent: scheduling, streaming, metrics routing, more | What’s so great about Telegraf?

6. © 2021 InfluxData. All rights reserved. 6 Using Telegraf Download telegraf binary for your operating system Edit the configuration file to use the plugins of your choice (via UI or in the text editor of your choice) Run Telegraf

7. Getting data in using diﬀerent languages Client Libraries

9. Write API to /write endpoint Direct API

13. CSV and Line Protocol Command Line Tools

14. © 2021 InfluxData. All rights reserved. 14 InfluxDB Write https:/ /docs.influxdata.com/influxdb/v2.0/reference/cli/influx/write/ Writes data to InfluxDB via stdin or from a specified file, files, url, or urls Line Protocol, annotated CSV, or extended annotated CSV

16. Test and Explore with Low and No-code options UI Data Loading

17. © 2021 InfluxData. All rights reserved. 17 Load Data with the UI Login to your cloud account and select your client library, telegraf plugin, or template Edit your configuration in the UI and get url for your cloud instance Run your configuration and see your data flow!

18. Flux from

19. © 2021 InfluxData. All rights reserved. 19 | Using Flux from Flux from retrieves data from an InfluxDB data source Returns a stream of tables from a specified bucket Contains each unique series in its own table Each record in the table is a single point in the series https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/optimize-writes/

21. Data Input Best Practices

22. © 2021 InfluxData. All rights reserved. 22 | Optimize Writes Batch Writes Sort Tags By Key Use the coarsest time precision possible Use gzip compression Synchronize hosts with NTP Write multiple data points with one request https:/ /docs.influxdata.com/influxdb/v2.0/write-data/best-practices/optimize-writes/

23. © 2021 InﬂuxData. All rights reserved. 23 | Handle Duplicate Data Points Duplicate Data Points Preserve Duplicate Data Points Add arbitrary tag Implement the timestamp https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/duplicate-points/

24. © 2021 InfluxData. All rights reserved. 24 | Schema Design Recommendations Storing data Store commonly-queried meta data in tags. Store data in fields if each data point contains a different value. Store numeric values as fields (tag values only support string values). Use recommended naming conventions avoid keywords in tag and field names avoid the same tag and field name avoid encoding data in measurement names avoid more than one piece of information in one tag Avoid too many series https://docs.influxdata.com/influxdb/v2.0/write-data/best-practices/schema-design/

25. Thank you!

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