Webinar: Multi-Cloud Monitoring
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The document outlines the significance of multi-cloud infrastructure and how containership.io facilitates its management across various cloud providers. It emphasizes the challenges faced in multi-cloud environments and the necessity for a streamlined approach to containerized applications, leveraging features like centralized management and disaster recovery. Additionally, it touches on the unique requirements of time-series data and offers a demo of their solution.
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