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Running in the Cloud

InfluxDB Cloud Serverless

Fully managed, elastic, multi-tenant service

InfluxDB Cloud Dedicated

Fully managed, single-tenant service

On-Premises

InfluxDB Enterprise

Self-managed database for on-prem or private cloud deployment

Solutions

InfluxDB by Use Cases

Network monitoring IoT Monitoring and Analytics SaaS Operational Monitoring
Explore more

InfluxDB by Industries

Manufacturing Telecommunications Energy and Utilities 
Explore more

InfluxDB Customers

Customers Become an InfluxDB Inventor
Explore more
Developers

Resources

Documentation Blog InfluxDB University 

Open source

InfluxDB OSS Telegraf Community

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InfluxDB for Observability

Observability is a key concept for many developers and organizations. When performance matters, having insight into systems helps developers pinpoint and resolve issues quickly.

Time series data is key to observability because everything happens within the context of time. Especially in distributed systems or applications, time is a critical element that shows how processes and systems change. Observability processes track those changes.

The same data collected for observability purposes can also be used for prediction and forecasting. Combining historical and real-time observability data enables users to build and maintain more efficient and effective systems.

In this technical paper you’ll learn:

  • Why observability is important and how it works
  • The 3 pillars of observability
  • The role of a time series database in observability

Session Registration

Coming soon! Our webinar just ended. Check back soon to watch the video.

 

 

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