This topic introduces Apigee Analytics.
Video: Watch a short video for an overview of Apigee API Analytics services.
Improve your API through analytics
Apigee Analytics collects and calculates a wealth of information that flows through API proxies. You can visualize this data with graphs and charts in the Apigee UI, or you can download the raw data for offline analysis using the Apigee APIs.
Analytics help you answer common questions, such as:
- How is my API traffic trending over time?
- Which API methods are most popular?
- Who are my top developers?
- When is API response time fastest? Slowest?
- Geographically, where do I see the most API traffic?
The answers to questions like these help you improve your APIs, troubleshoot problems, and make better business decisions related to your API program.
API Analytics helps everyone improve
Through a continual process of collecting, analyzing, and visualizing data, Apigee API Analytics helps your API team improve their APIs and helps app developers improve their apps:
- API Team - The API team is tapping into internal systems to create interesting APIs. The API team wants to know how the API program is doing overall, how individual APIs are doing, and how to improve their APIs.
- App Developers - By sharing analytics information with app developers, you get better apps. These developers are innovating with your API and building creative apps that help drive revenue to your enterprise. Analytics help app developers know how their apps are doing and how much they are contributing to the bottom line of your enterprise. App developers want to know how they can improve their apps.
- Ops Team - The operations team wants to understand traffic patterns and anticipate when to add backend resources or make other critical adjustments.
- Business Owner - The business owner wants to see how their API investment is paying off and where to invest API dollars in the future.
What kind of data is collected and analyzed?
Apigee API Analytics collects and analyzes a broad spectrum of data that flows across API proxies such as:
- Response time
- Request latency
- Request size
- Target errors
- API product name
- Developer email address
- App name
- Many others
For a complete listing of data collected by API Analytics, see Analytics metrics, dimensions, and filters reference.
How do I collect custom analytics data?
Apigee natively collects a wealth of data. You might also want to collect custom analytics data specific to your API proxies, apps, products, or developers. For example, you might want to gather analytics data from query parameters, request headers, request and response bodies, or variables that you define in your APIs.
You collect custom analytics data by using Collect custom analytics data and use the analytics UI or API to examine the data. See Analyze API message content using custom analytics for complete example demonstrating how to collect custom analytics data.
When and for how long is my analytics data available?
There are two time intervals that control when and for how long you can view your analytics data:
- Data delay interval - After a call is made to an API proxy, it can take up to 10 minutes for the data to be accessible for display or through API calls.
- Data retention - The length of time that analytics data is retained by Apigee differs by plan. Depending on your plan, analytics data may be available for the past 30, 60, 90, or 365 days.
How do I access my analytics data?
Apigee Analytics provides data visualization tools built into the Apigee UI. These tools include predefined analytics dashboards and custom reports that display data in graphs and charts and let you drill down to see data grouped into different dimensions (such as by API proxy, IP address, or HTTP status code).
In addition, you can download analytics data by using the Apigee API. Once downloaded, you can import that data into your own data visualization tools or analytics system.
The Apigee UI provides a set of predefined dashboards that you can use to view analytics data. For example, the following images shows the Proxy Performance dashboard:
This dashboard includes charts for:
- Total Traffic - The total number of API requests received by Apigee for an API environment in an organization.
- Traffic Success - The total number of requests that resulted in a successful response. Error responses do not count.
- Traffic Errors - The total number of all API requests that are unsuccessful; that is, the request does not deliver a response. The count includes both Proxy errors (Apigee side) and Target errors (the backend services).
- Average TPS - The average number of API requests and resulting responses per second.
Additional predefined dashboards include:
- Cache performance
- Developer engagement
- Device usage
- Error code analysis
- Latency analysis
- Target performance
- Traffic composition
For more information on these predefined dashboards, see Using the analytics dashboards.
Custom reports let you drill-down into specific API metrics and view the exact data that you want to see. You can create a custom report by using any of the analytics data built into Apigee.
When building a custom report, you select the data you want to see (metrics), group the data in meaningful ways (dimensions), and optionally limit the data returned based on specific characteristics of the data (filtering).
You can also set the chart type displayed in the custom report as a column or line chart. The following images show chart examples for transactions per second grouped by API proxy:
Column - Each API proxy is represented by a different column:
Line - Each API proxy is represented be a different line:
For more, see Creating and managing custom reports.
Use the Apigee API to download analytics data. For example, you can use the API to build your own visualization tools that you can embed in portals or custom apps.
Here's an example API call to retrieve analytics data for API proxies:
curl "https://apigee.googleapis.com/v1/organizations/myorg/environments/test/stats/apiproxy?"select=sum(message_count)&timeRange=6/24/20120%2000:00~6/24/2020%2023:59&timeUnit=hour" \ -X POST \ -H "Authorization: Bearer $TOKEN"
This call returns:
- The sum of requests (message count) per API proxy
- For a 24 hour period
- Grouped by hour
timeRange query parameter specifies the time period in the form:
timeRange parameter requires
a URL-encoded space character before
HH:MM, or a
+ character, as in:
For more, see Using the metrics APIs to measure API program performance.
Export analytics data to GCP
You can use the Apigee API to export all analytics data for an entire day from Apigee to your own data repository, such as Google Cloud Storage or BigQuery. You can then take advantage of the powerful query and machine learning capabilities offered by Google Cloud BigQuery and TensorFlow to perform your own data analysis.
For more, see Exporting data from analytics.
How do I share data with app developers?
When you think of app developers as your customers, you'll want to make sure they have the tools and information available to them to make the best use of your API.
App developers are not only concerned about the quality of their apps, they are very interested in your APIs. The Drupal-based developer portals includes an optional App Performance page designed to give app developers access to important metrics for their apps. This page gives developers information about:
- Errors: Which API errors is my app seeing?
- Performance: Is the API slow right now? Which API methods are typically slow or slow at the moment?
- Availability: Is the API up or down right now?
- Quota: Does your API have a quota? And as the app developer, how am I doing against the quota?
For more information, see Monitor apps in the Drupal 8 documentation.
Additionally, you can share analytics with your developers by:
- Creating custom reports and sharing them with your app developers. For more information, see Creating and managing custom reports.
- Using the metrics APIs to capture data over a wider period of time to share with app developers offline. For more information, see Use the metrics APIs to measure API program performance.
How do I generate complete analytics data?
What do we mean by complete analytics? You can, for example, create an API proxy and Apigee will collect analytics data about that proxy. But what about metrics for the developer or app that called the API proxy? If Apigee doesn't know who made an API call, it can't collect that data.
A few steps are required to let Apigee figure out which developers and which developer apps are calling your API proxies. Here is a list of those steps with links to more detailed information:
- Create one or more API products, which is a grouping of API proxies along with a service plan. See Managing API products.
- Registering app developers with Apigee. See Managing app developers.
- Registering apps and managing API keys for your developers. See Register apps and manage API keys.
- Add security policies to your API proxies that verify API keys and/or security tokens. See the following topics:Verify API Key policy, OAuthV2 policy, and Verify JWT policy.