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© 2017 InfluxData. All rights reserved.1 © 2017 InfluxData. All rights reserved.1
PORTABLE, CONTAINERIZED INFRASTRUCTURE ACROSS ANY CLOUD PROVIDER OR DATA CENTER
8 AUG 2017
Multi-Cloud Monitoring
© 2017 InfluxData. All rights reserved.2 © 2017 InfluxData. All rights reserved.2
Our Special Guest
Phil Dougherty
¨Co-founder & CEO at
© 2017 InfluxData. All rights reserved.3 © 2017 InfluxData. All rights reserved.3
Agenda
¨Understanding the importance of multi-cloud
¨Containership.io approach
¨Time-series data / How is it different?
¨Demo / Multi-cloud environments using Containership.io
¨Q & A
© 2017 InfluxData. All rights reserved.4 © 2017 InfluxData. All rights reserved.4
Multi-cloud / Why it matters
¨ Solving the same problems in incompatible ways
¨ complex
¨ lock-in
¨ Servers alone are not enough
¨ deployments, stability, automation, high-availability,
simplicity, security, collaboration
© 2017 InfluxData. All rights reserved.5 © 2017 InfluxData. All rights reserved.5
Containership.io / Our approach
¨ Lightweight cloud management layer
¨integrated with 14 cloud providers
¨private datacenters
¨Single pane of glass
¨intuitive
¨standardized
¨API, CLI, UI
© 2017 InfluxData. All rights reserved.6 © 2017 InfluxData. All rights reserved.6
Containership.io / Multi-cloud containers made easy
¨Portable infrastructure blueprint
¨applications
¨load balancers
¨firewalls
¨data
¨Disaster Recovery
¨Region Expansion
¨Provider Expansion
© 2017 InfluxData. All rights reserved.7 © 2017 InfluxData. All rights reserved.7
Understanding the time-series problem
What makes time-series unique
¨needs fast ingestion of data
¨high & low precision data have different retention policy
¨software agent or DB must be able to compute
¨unique & changing time query
¨
Containers generating huge data load
¨regular vs. irregular
¨containers themselves + components within
© 2017 InfluxData. All rights reserved.8 © 2017 InfluxData. All rights reserved.8
Demo
© 2017 InfluxData. All rights reserved.9 © 2017 InfluxData. All rights reserved.9
Learning More
URL or other notes on where to find further info.
URL or other notes on where to find further info.
containership.io/sign-up
influxdata.com/time-series-database/
https://www.influxdata.com/integration/containership/
© 2017 InfluxData. All rights reserved.10 © 2017 InfluxData. All rights reserved.10
Q & A?
© 2017 InfluxData. All rights reserved.11 © 2017 InfluxData. All rights reserved.11
Come see us!
@containershipio

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Webinar: Multi-Cloud Monitoring

  • 1. © 2017 InfluxData. All rights reserved.1 © 2017 InfluxData. All rights reserved.1 PORTABLE, CONTAINERIZED INFRASTRUCTURE ACROSS ANY CLOUD PROVIDER OR DATA CENTER 8 AUG 2017 Multi-Cloud Monitoring
  • 2. © 2017 InfluxData. All rights reserved.2 © 2017 InfluxData. All rights reserved.2 Our Special Guest Phil Dougherty ¨Co-founder & CEO at
  • 3. © 2017 InfluxData. All rights reserved.3 © 2017 InfluxData. All rights reserved.3 Agenda ¨Understanding the importance of multi-cloud ¨Containership.io approach ¨Time-series data / How is it different? ¨Demo / Multi-cloud environments using Containership.io ¨Q & A
  • 4. © 2017 InfluxData. All rights reserved.4 © 2017 InfluxData. All rights reserved.4 Multi-cloud / Why it matters ¨ Solving the same problems in incompatible ways ¨ complex ¨ lock-in ¨ Servers alone are not enough ¨ deployments, stability, automation, high-availability, simplicity, security, collaboration
  • 5. © 2017 InfluxData. All rights reserved.5 © 2017 InfluxData. All rights reserved.5 Containership.io / Our approach ¨ Lightweight cloud management layer ¨integrated with 14 cloud providers ¨private datacenters ¨Single pane of glass ¨intuitive ¨standardized ¨API, CLI, UI
  • 6. © 2017 InfluxData. All rights reserved.6 © 2017 InfluxData. All rights reserved.6 Containership.io / Multi-cloud containers made easy ¨Portable infrastructure blueprint ¨applications ¨load balancers ¨firewalls ¨data ¨Disaster Recovery ¨Region Expansion ¨Provider Expansion
  • 7. © 2017 InfluxData. All rights reserved.7 © 2017 InfluxData. All rights reserved.7 Understanding the time-series problem What makes time-series unique ¨needs fast ingestion of data ¨high & low precision data have different retention policy ¨software agent or DB must be able to compute ¨unique & changing time query ¨ Containers generating huge data load ¨regular vs. irregular ¨containers themselves + components within
  • 8. © 2017 InfluxData. All rights reserved.8 © 2017 InfluxData. All rights reserved.8 Demo
  • 9. © 2017 InfluxData. All rights reserved.9 © 2017 InfluxData. All rights reserved.9 Learning More URL or other notes on where to find further info. URL or other notes on where to find further info. containership.io/sign-up influxdata.com/time-series-database/ https://www.influxdata.com/integration/containership/
  • 10. © 2017 InfluxData. All rights reserved.10 © 2017 InfluxData. All rights reserved.10 Q & A?
  • 11. © 2017 InfluxData. All rights reserved.11 © 2017 InfluxData. All rights reserved.11 Come see us! @containershipio