Telegraf is an open-source server agent designed to collect metrics from stacks, sensors, and systems — with nearly 300 inputs and outputs. Telegraf Operator makes it easy to use Telegraf for monitoring your Kubernetes workloads. It enables developers to define a common output destination for all metrics, and configure Sidecar monitoring on your application pods using annotations. With the Telegraf sidecar container added, it will collect data and start pushing the metrics to a time series database, like InfluxDB. Discover how to use the Telegraf Operator as a control center for managing individual Telegraf instances which are deployed throughout Kubernetes clusters. Find out how to use the InfluxDB and Telegraf Operator to monitor and get metrics from your Kubernetes workloads. Join this webinar as InfluxData's Pat Gaughen and Wojciech Kocjan provide: InfluxDB & Telegraf overview Telegraf Operator deep-dive Live demos of sample deployments!

1. Using InfluxDB and Telegraf Operator to monitor
and get metrics from your Kubernetes workloads
InfluxDB + Telegraf
Operator: Easy Kubernetes
Monitoring

2. © 2021 InfluxData. All rights reserved.
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Wojciech Kocjan
Software Engineer @ InfluxData
@wojciechka
@wojciechka

3. © 2021 InfluxData. All rights reserved.
3
Pat Gaughen
Engineer Manager @ InfluxData
@dyzamica
@gaughen

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4
InfluxDB
● The platform for building
time series applications
● At the heart, an opensrc db
purpose-built for
time-stamped data
● Start from the UI or skip
right to the raw code and
API.
○ APIs and client libraries
for 12 languages

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Telegraf
● Open Source agent designed to collect & report metrics from
stacks, sensors, and systems
○ Maintained by InfluxData and a friendly community
○ Regular releases for popular operating systems and architectures
● Supports around 300 different plugins
○ Getting data from large number of data sources
○ Outputting data to various tools and databases
○ Powerful data pre-processing and/or batching

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Telegraf Operator
● Open source K8s operator that injects Telegraf to gather data
○ Lifecycle and deployment separate from telegraf itself
○ Includes configuration of app classes and where their data is sent
● Adds sidecar to workloads with specific pod annotations
○ What data to scrape, how often and app class part of annotations
○ Allows using prometheus scraping as well as all of Telegraf’s plugins
● Used to monitor workloads at InfluxData
○ Both telegraf-operator and telegraf used extensively at InfluxData

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Deploying
telegraf-operator !

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Demo plan
● Deploy InfluxDB v2 to cluster, log in to it
● Deploy telegraf-operator to cluster
○ first ensuring it’s configured for hot reload
● Configure telegraf-operator classes and explain configuration
○ mention how this would work for InfluxDB Cloud
● Deploy some workloads - nginx, redis
○ Show sidecars being added automatically
○ Go back to InfluxDB and show data in dashboards

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Questions?

10. Thank You