API Insights
In this article
Understanding API Metrics
Overview
The API dashboard wall displays metrics for your API Manager Developer Portal. The dashboard is composed of widgets that help you visualize the types of metrics that provide insights into your APIs. As an API developer, you can track the consumption of your APIs, troubleshoot errors, and analyze performance (latency).
You can access the dashboard by clicking the API tab in the SnapLogic Dashboard. Similar to the functionalities available on the Pipeline and Tasks dashboard tabs, you can view assets to which you have read and write permissions. As an Org admin, you can also monitor statistics that give a summary view and details about the APIs (Ultra and Triggered Tasks) running in your Org.
Troubleshooting Errors
The API dashboard serves as the central repository of information about your APIs. You can collect metrics on usage, latency, and the number and type of errors API consumers face. This data collection is an important part of managing API policies because understanding these metrics can help you decide on the combination of policies that best protect the APIs published to your developer portal. Because the dashboard supports downloads, you can collect these metrics over time and analyze the patterns for usage trends.
The dashboard separates response from target errors, making it easier to determine if the error occurred because of an API policy configuration or originated from the Pipeline runtime. Latency metrics facilitate fine-tuning the efficiency of your traffic control policies for your APIs. Furthermore, you can perform deep dive analysis from the dashboard, and easily access the Pipeline runtime of a target API. This capability allows API developers to fix issues at the Pipeline level and improve the service that the API provides.
Analyzing API Consumption
The API dashboard renders API usage metrics in visual and statistical views. The API Details table lists the APIs that are handling the most requests. The order of target APIs defaults to requests per minute, essentially giving you a view of the top ten APIs. You can also sort by error percentage and latency, so that you can analyze problems your API consumers are facing when ingesting APIs from your developer portal. These details combined with the widgets give API developers the tools they need to analyze consumption trends and improve the user experience of their APIs.
API Metrics
The dashboard displays area charts, where you can view metrics for your APIs:
Requests: The number of requests during a selected time period (when positioning your cursor over the area chart). The chart displays requests per minute on the top right of the chart, calculated as the rate at which the system is processing requests.
For a 1-hour interval, the chart displays the aggregated number of requests processed each minute.
For 8-hour and longer time intervals, the chart displays 15-minute data points as the indication of the throughput of the API ecosystem.
You can also use filters to view the value of this metric for your target APIs.
Request Errors: The 400 and 500 errors that occur, typically because of an API policy violation or fail authentication, resulting in a canceled request. Pipelines are not prepared or executed in this scenario.
Target Errors: The 400 and 500 errors that occur during the Pipeline prepare state and run.
Error Percentage: The errors that occur with the API calls as a percentage of the total number of requests. This metric indicates ineffective API design, weak API documentation, and/or even malicious actors accessing the API ecosystem.
Request Errors: The errors that violate a policy or fail authentication, resulting in a canceled request. Pipelines are not prepared or executed in this scenario.
Target Errors: The errors that occur during the Pipeline prepare state and run.
99 Percentile Latency: Latency is the number of milliseconds the API ecosystem takes to respond to a call. The 99p latency value means that 99 out of 100 API data samples fall below this value. This metric indicates the efficiency or the cycle time of the API ecosystem.
Request Latency: The time taken to link the Task definition, run API policies, and authenticate the request in milliseconds (ms).
Target Latency: The time taken to prepare and execute the Pipeline to completion in milliseconds (ms).
Response Latency: The time taken to collect statistics and process the response to the caller in milliseconds (ms).
Queue Size: The number of requests waiting to be processed by your Ultra Tasks. The vertical access gives the number of requests in the queue, and the horizontal access is the timeline.
Top API by Request: The top 10 APIs in your Org by request.
Top Consumer by Requests: The top number of requests by API consumer.
Selecting a Widget
To select/deselect the widgets to display on the Dashboard, click the Widget selector on the left side below the tabs:
Exploring the Widget
Within the graphs, you can position your cursor over the data points to view the metrics for that period of time. Data points represent the total or the average value over a 15-minute period. Sliding the cursor along the trend line on the widget also displays the data points for that area of the graph. You can further specify which metrics to view by clicking the labeled colored squares below the graph.
Selecting the API
To filter which metrics are shown, expand the API selector and select the Project Spaces, Projects, and APIs whose metrics you want to display. By default, the widgets display the metrics for All APIs in your Org.
You can also filter the results displayed in the API selector by entering a keyword in the Filter field.