iOS RUM Agent
Measure and analyze the impact of feature flag changes on iOS app performance with the Harness FME iOS RUM Agent.
This guide provides detailed information about FME's Real User Monitoring (RUM) Agent for iOS.
FME's iOS RUM Agent collects events about your users' experience when they use your application and sends this information to FME services. This allows you to measure and analyze the impact of feature flag changes on performance metrics.
Before you begin
FME's iOS RUM Agent is designed for iOS applications written in Swift and is compatible with iOS SDK versions 12 and later.
Initialization
Set up FME's RUM Agent in your code with the following three steps:
1. Import the Agent into your project
Swift Package Manager
Import the Agent into your project using Swift Package Manager pointing to the iOS RUM repo URL. Currently, the last version is 0.4.0.
Cocoa Pods
You can also import the Agent into your Xcode project using CocoaPods, adding it in your Podfile.
pod 'SplitRum', '~> 0.4.0'IMPORTANT
If you get the Sandbox: rsync.samba(19690) deny(1) file-read-data ... error, make sure that the ENABLE_USER_SCRIPT_SANDBOXING project flag is set to 'No'
2. Setup the Agent
To allow the Agent to send information to FME services, you need to call the setup method on the SplitRum object.
IMPORTANT
The Crashlytics framework has a compatibility issue that interferes with the proper functioning of RUM Agent when Crashlytics is initialized first. To resolve this, initialize the RUM Agent using the setup method before starting Crashlytics.
Alternatively, you can create a SplitRumAgent-Info.plist file with a key called apiKey and your SDK KEY as its value. Then call the setup method without parameters.
Arguments passed to the setup method will override any value contained in the SplitRumAgent-Info.plist. When initializing the Agent, the setup method will throw an error if any parameter invalid, so this method must be called using a try clause.
3. Add an Identity
While the Agent will work without having an Identity, events won't be sent to FME services until at least one is set.
Identity objects consist of a key and a traffic type. You can only pass values that match the names of traffic types already defined in Harness FME.
The RUM Agent provides methods to manage Identities, as shown in the table below.
Configuration
FME's iOS RUM Agent can be configured to change its default behavior. The following options are available:
Log Level: level of logging. Valid values are
VERBOSE,DEBUG,INFO,WARNING,ERRORandNONE.
Log level can be configured using the SplitRumAgent-Info.plist file or programmatically. Values specified programmatically will override any of the same values specified in the configuration file.
Configuration using the manifest file:
Configuration specified programmatically:
Events
FME's iOS RUM Agent collects a number of events by default.
Default events and properties
Event type ID
Description
Has value?
Has properties?
crash
Any unhandled error that causes the application to crash.
No
{ signal: int, message: string }
error
Errors tracked via the trackError method.
No
{ errorCode: int, errorMessage: string, isFatal: boolean, errorType: string, errorMethod: string }
app_start
Time in milliseconds elapsed until app is launched.
Yes
No
hangs
Sent if an application hang is detected.
No
No
device_info
Information provided by the OS about a device. This is sent the first time the Agent runs on the device. The device ID recorder is the ASIdentifierManager.shared().advertisingIdentifier value.
No
{ id: string, model: string, osName: string, osVersion: string }
Each event for the metrics described above automatically includes a session_id property that can be use to filter certain events when defining Split metrics for experimentation purposes. Learn more about metric definitions and how to define property filters.
Name
Description
session_id
ID of the session in which the event took place.
Automatic metric creation
FME will automatically create metrics for a subset of the event types received from the iOS RUM Agent. These out-of-the-box metrics are auto-created for you:
Event type
Metric name
split.rum.error
Count of Application Errors - Split Agents
split.rum.crash
Count of Crashes - Split Agents
split.rum.app_start
Average App Start Time - Split Agents
split.rum.anr
Count of ANRs - Split Agents
For a metric that was auto-created, you can manage the definition and alert policies like you would for any other metric. If you delete a metric that was auto-created, FME will not re-create the metric, even if the event type is still flowing.
Advanced use cases
Custom properties
Custom properties can be also added to a tracked event by using the various methods for managing them.
Custom events
Custom events can be tracked using the following options:
the
trackmethodthe specialized
trackErrormethod These methods are demonstrated below.
Using the track methods:
Using the trackError method:
Using the trackTimeFromStart method. This method generates an event which value is the number of milliseconds between app launch and the moment the method is called.
User consent
By default the Agent will send events to Harness FME servers, but you can disable this behavior until user consent is explicitly granted.
The userConsent configuration parameter lets you set the initial consent status of the Agent, and the SplitRum.setUserConsent(boolean) method lets you grant (enable) or decline (disable) dynamic event tracking.
There are three possible initial states:
'GRANTED': The user grants consent for tracking events and impressions. The SDK sends them to Harness FME servers. This is the default value ifuserConsentparam is not defined.'DECLINED': The user declines consent for tracking events and impressions. The SDK does not send them to Harness FME servers.'UNKNOWN': The user neither grants nor declines consent for tracking events and impressions. The SDK tracks them in its internal storage, and eventually either sends them or not if the consent status is updated to'GRANTED'or'DECLINED'respectively.
The status can be updated at any time with the setUserConsent factory method.
Working with user consent is demonstrated below.
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