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© 2017 InfluxData. All rights reserved.1
11th July 2017
How to use the TICK Stack, CoreOS, &
Docker to make your SaaS offering better
© 2017 InfluxData. All rights reserved.2
Agenda
¨ What is InfluxCloud
¨ Monitoring InfluxCloud
¨ Q&A
© 2017 InfluxData. All rights reserved.3
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
© 2017 InfluxData. All rights reserved.4 © 2017 InfluxData. All rights reserved.4
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
© 2017 InfluxData. All rights reserved.5
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
© 2017 InfluxData. All rights reserved.6
InfluxCloud Architecture - high level
© 2017 InfluxData. All rights reserved.7
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.
© 2017 InfluxData. All rights reserved.8
InfluxCloud Architecture - Cloud
© 2017 InfluxData. All rights reserved.9
InfluxCloud Architecture - focus on single cluster
© 2017 InfluxData. All rights reserved.10
InfluxCloud Architecture - focus on single instance
© 2017 InfluxData. All rights reserved.11
InfluxCloud Architecture - why CoreOS?
⠒ Designed to deploy containers
⠒ Auto update
⠒ To get all the flexibility we need to tread every cluster as
special
© 2017 InfluxData. All rights reserved.12
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
© 2017 InfluxData. All rights reserved.13
Monitoring Data flow - Dashboard
© 2017 InfluxData. All rights reserved.14
Kapacitor for alerting
© 2017 InfluxData. All rights reserved.15
Kapacitor to build stats
© 2017 InfluxData. All rights reserved.16
Continuous delivery every time it’s possible
© 2017 InfluxData. All rights reserved.17
Don’t trust anyone! Monitor your monitor
© 2017 InfluxData. All rights reserved.18
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
© 2017 InfluxData. All rights reserved.19
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
© 2017 InfluxData. All rights reserved.20
We are building trust. Co-monitoring
© 2017 InfluxData. All rights reserved.21
Conclusion
© 2017 InfluxData. All rights reserved.22
Next Steps
Visit InfluxData.com
Download the TICK Stack or try InfluxEnterprise
Ask Questions on the community: community.influxdata.com

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How to Use the TICK Stack, CoreOS, & Docker to Make Your SaaS Offering Better

  • 1. © 2017 InfluxData. All rights reserved.1 11th July 2017 How to use the TICK Stack, CoreOS, & Docker to make your SaaS offering better
  • 2. © 2017 InfluxData. All rights reserved.2 Agenda ¨ What is InfluxCloud ¨ Monitoring InfluxCloud ¨ Q&A
  • 3. © 2017 InfluxData. All rights reserved.3 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
  • 4. © 2017 InfluxData. All rights reserved.4 © 2017 InfluxData. All rights reserved.4 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
  • 5. © 2017 InfluxData. All rights reserved.5 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
  • 6. © 2017 InfluxData. All rights reserved.6 InfluxCloud Architecture - high level
  • 7. © 2017 InfluxData. All rights reserved.7 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.
  • 8. © 2017 InfluxData. All rights reserved.8 InfluxCloud Architecture - Cloud
  • 9. © 2017 InfluxData. All rights reserved.9 InfluxCloud Architecture - focus on single cluster
  • 10. © 2017 InfluxData. All rights reserved.10 InfluxCloud Architecture - focus on single instance
  • 11. © 2017 InfluxData. All rights reserved.11 InfluxCloud Architecture - why CoreOS? ⠒ Designed to deploy containers ⠒ Auto update ⠒ To get all the flexibility we need to tread every cluster as special
  • 12. © 2017 InfluxData. All rights reserved.12 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
  • 13. © 2017 InfluxData. All rights reserved.13 Monitoring Data flow - Dashboard
  • 14. © 2017 InfluxData. All rights reserved.14 Kapacitor for alerting
  • 15. © 2017 InfluxData. All rights reserved.15 Kapacitor to build stats
  • 16. © 2017 InfluxData. All rights reserved.16 Continuous delivery every time it’s possible
  • 17. © 2017 InfluxData. All rights reserved.17 Don’t trust anyone! Monitor your monitor
  • 18. © 2017 InfluxData. All rights reserved.18 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
  • 19. © 2017 InfluxData. All rights reserved.19 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
  • 20. © 2017 InfluxData. All rights reserved.20 We are building trust. Co-monitoring
  • 21. © 2017 InfluxData. All rights reserved.21 Conclusion
  • 22. © 2017 InfluxData. All rights reserved.22 Next Steps Visit InfluxData.com Download the TICK Stack or try InfluxEnterprise Ask Questions on the community: community.influxdata.com