API Monitoring 24x7

API Monitoring refers to the practice of monitoring API, most commonly in production, to gain visibility into performance, availability and functional correctness. API Monitoring tools are designed to help you analyze the performance of your applications and improve poorly performing APIs.

They provide measurements of how long a routine takes to execute, how often it is called, where it is called from, and how much of total time is spent executing that transaction.

Uptime

Apinizer is a reliable and intuitive tool for API performance and uptime monitoring. Here’s a few ways Apinizer helps you catch and prevent API downtime:

  • Validate more than just up or down
  • Collaborative API monitoring
  • No code required
  • Detailed and actionable alerts and notifications
Heartbeat

The heartbeat API allows for regular communication between the user’s browser and the server. One of the original motivations was to allow for locking posts and warning users when more than one user is attempting to edit a post, or warning the user when their log-in has expired.

Anamoly Detection

Anomaly detection is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior. Machine learning is progressively being used to automate anomaly detection.

How it Works
Create an HTTP request
Anomaly detection is a step in data mining that identifies data points,
events, and/or observations that deviate from a dataset’s normal behavior.
Add API check assertions
Anomaly detection is a step in data mining that identifies data points,
events, and/or observations that deviate from a dataset’s normal behavior.
Customize Action and Scheduled
Anomaly detection is a step in data mining that identifies data points,
events, and/or observations that deviate from a dataset’s normal behavior.
Monitor your API every minute
Anomaly detection is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior.
Alerting for any Connector

When a check fails, you and your team need timely and actionable insights to address any down time. Add Slack, SMS, email or any API: Apinizer alerts give you the right information whatever alerting medium you choose. Need more control? Webhooks give you full access to the JSON data we use ourselves for alerting.

Start API Monitoring Today

API Monitoring refers to the practice of monitoring API, most commonly in production, to gain visibility into performance, availability and functional correctness. API Monitoring tools are designed to help you analyze the performance of your applications and improve poorly performing APIs.

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