API Monitoring
The API monitoring solution using InfluxDB provides developers with insights into their service-oriented architecture, usage, spikes, anomalies, and outages.
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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 InfluxDB for APIs?
Developing, deploying, and documenting hundreds or thousands of API endpoints is tedious, and long-term care and feeding of existing APIs is near impossible. Security teams are always worried about possible threats, and product management constantly pushes for a new version or feature. These challenges can quickly overwhelm your developers, ops teams, and technology.
When your customers and investors have high expectations, and you are scrambling to deploy and document new software and effectively market and monetize your new apps and services, it’s easy to lose track of the fundamentals. Too many promising offerings end up as shelfware because their developers failed early on to consider their most significant asset: real-time streams of data from their software, infrastructure, and customers.
How InfluxDB can help
Whether building and deploying new API endpoints or testing your existing interfaces, you can use InfluxDB to capture, store, and analyze data from white-box and black-box sources. Finally, give your dev and SRE teams the visibility and insights they need to make sure your APIs perform, your applications function, and your users interact securely and efficiently with limited bottlenecks, timeouts, and errors.
Getting started
Integrating your data is as easy as plugging in to your existing streams of logs, metrics, and traces with our {{num_plugins}}+ plugins and integrations with message brokers and services, protocol scrapers, and synthetic and real-user monitoring services.
InfluxDB stores all of the data using a time series index, which means that the precise time (to the nanosecond if needed) is retained and used to organize, order, and analyze the events that represent the activity of your technology and customers. Analyze and report on this data using InfluxDB to improve customer experience, app performance, or even identify fraud and other security threats.
Related resources for developers
InfluxDB Integrations
Free InfluxDB training
“We didn’t have a great way to figure out and quickly diagnose what endpoint was driving a problem—that’s what led us down this journey with InfluxData.”
Gagan KanwarDirector of Partnerships, MuleSoft
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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