SaaS Operational Monitoring
Use InfluxDB as the time series backend for building software-as-a-service applications to provide observability and real-time analytics for mission-critical applications and services that directly impact customers.
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Why a purpose-built time series database?
Time-stamped data is ingested, collected, and transformed by developers to trigger workflows or alerts. The data includes measurements or events that are tracked, monitored, downsampled, and aggregated over time.
Why Use InfluxDB?
Accelerate building mission-critical applications that have time series data at their core with InfluxDB. Collect metrics, events, and tracing data at scale across your customer environments and build dashboards to provide real-time analytic observability and analysis to your external users. InfluxDB provides developer-friendly features, like schema on write, and multiple query options with support for SQL and InfluxQL, that enable you to build awesome apps for your customers.
Observability
Monitor systems, applications, containers, microservices, and more, all in real-time, to detect issues before they affect users and to create predictive models to optimize operations.
Energy
Collect production, usage, and other key information from local and edge devices to track output, create alerts, and more for the delivery of energy resources.
Fintech
Centralize data from decentralized financial data systems to gain real-time insights into infrastructure and apps supporting blockchain and other global currencies.
The functional architecture of the InfluxData cloud application platform
Alex Nauda, CTO, Nobl9
Performance and innovation with open standards
We built InfluxDB 3.0 in Rust using the FDAP stack
Parquet
Open column-oriented file format designed for efficient data storage and retrieval
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