In this webinar, Phil Dougherty and Gunnar Aasen will show you that it actually can be simple to deploy, manage and scale containerized applications on a mix of any public or private cloud with Containership. And with this varied environment, you gather metrics and events from your apps and microservices and centrally view and manage all components with InfluxData.

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PORTABLE, CONTAINERIZED INFRASTRUCTURE ACROSS ANY CLOUD PROVIDER OR DATA CENTER
8 AUG 2017
Multi-Cloud Monitoring

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Our Special Guest
Phil Dougherty
¨Co-founder & CEO at

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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

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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

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Containership.io / Our approach
¨ Lightweight cloud management layer
¨integrated with 14 cloud providers
¨private datacenters
¨Single pane of glass
¨intuitive
¨standardized
¨API, CLI, UI

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Containership.io / Multi-cloud containers made easy
¨Portable infrastructure blueprint
¨applications
¨load balancers
¨firewalls
¨data
¨Disaster Recovery
¨Region Expansion
¨Provider Expansion

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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

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Demo

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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/

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Q & A?

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Come see us!
@containershipio