Other than InfluxDB and the open source Tick Stack, InfluxData provides a SaaS version of the TICK Stack, called InfluxCloud, that supports clustering, authentication and other enterprise features not found in the open source TICK Stack. InfluxCloud is designed to be easy to use and reliable for our customers, as they rely on this service to store time series data gathered from sensors, servers, and other devices that is the foundation for their own SLAs for their products and services. This means InfluxCloud requires an even higher standard of service in order to help them maintain their service level commitments.

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11th July 2017
How to use the TICK Stack, CoreOS, &
Docker to make your SaaS offering better

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Agenda
¨ What is InfluxCloud
¨ Monitoring InfluxCloud
¨ Q&A

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Introduction
Gianluca Arbezzano, SRE
Docker Captain, open source
maniac and grower of fruit and
vegetables.
Email: gianluca@influxdb.com
Twitter: @GianArb
community.influxdata.com
About me

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Founded in 2013
Delivering a modern open source
platform for metrics and events
Guiding principles:
Developer Happiness
Ease of Development + Scale Out
Time to Value
Results
70,000+ Active Servers
10,792 GitHub stars
300+ Customers (Cloud and Enterprise Offering)
InfluxData Overview

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What is InfluxCloud?
¨ Time Series Database as a Service
¨ A great use case to build better production ready tools
¨ A way to make money
¨ Monitoring is perfect as a third party service
¨ It needs to be up when your system is down
¨ If you are not making monitoring, it’s not your core business.
Maintain it can be expensive

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InfluxCloud Architecture - high level

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Design consideration
¨ Speed to deploy a cluster needs to be reasonable.
¨ Machines needs to be able to communicate cluster membership.
¨ Cluster services can be restarted easily.
¨ Support team need to be confident about the system.

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InfluxCloud Architecture - Cloud

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InfluxCloud Architecture - focus on single cluster

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InfluxCloud Architecture - focus on single instance

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InfluxCloud Architecture - why CoreOS?
⠒ Designed to deploy containers
⠒ Auto update
⠒ To get all the flexibility we need to tread every cluster as
special

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Monitoring Data flow
⠒ Docker send all container logs to a central place
⠒ Every server has a Telegraf agent to get system information
(CPU, memory, ios)
⠒ For service metrics, Influxdb, Kapacitor, etc. everything
sends metrics to InfluxCloud for monitoring

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Monitoring Data flow - Dashboard

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Kapacitor for alerting

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Kapacitor to build stats

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Continuous delivery every time it’s possible

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Don’t trust anyone! Monitor your monitor

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What we learned
⠒ Build tools and utilities that restrict access to the AWS
console (improve security, gain control, less human error)
⠒ Monitor to identify repetitive support tasks
⠒ People needs visibility on their cloud services
⠒ Metrics are everywhere. The number of alerts is a good
metric. Now we build alerts on alerts
⠒ Proactive monitoring and proactive-automation

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What now? InfluxCloud next-gen
⠒ Co-monitoring between InfluxData and customers
⠒ Chronograf and Kapacitor as basic add-ons in every new
clusters
○ Welcome the Tick stack in the cloud!
⠒ The support team grows with the platform
○ Better tools, better UI, better everything!
⠒ Glue the API offered by all tools and productions that we are
building/using to build the perfect experience

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We are building trust. Co-monitoring

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Conclusion

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Next Steps
Visit InfluxData.com
Download the TICK Stack or try InfluxEnterprise
Ask Questions on the community: community.influxdata.com