- Observability: other versions:
- What is Elastic Observability?
- What’s new in 8.14
- Get started
- Observability AI Assistant
- Application performance monitoring (APM)
- Self manage APM Server
- Data Model
- Features
- Navigate the APM UI
- Perform common tasks in the APM UI
- Configure APM agents with central config
- Control access to APM data
- Create an alert
- Create and upload source maps (RUM)
- Create custom links
- Filter data
- Find transaction latency and failure correlations
- Identify deployment details for APM agents
- Integrate with machine learning
- Explore mobile sessions with Discover
- Observe Lambda functions
- Query your data
- Storage Explorer
- Track deployments with annotations
- OpenTelemetry integration
- Manage storage
- Configure
- Advanced setup
- Secure communication
- Monitor
- APM Server API
- APM UI API
- Troubleshoot
- Upgrade
- Release notes
- Known issues
- Log monitoring
- Infrastructure monitoring
- AWS monitoring
- Azure monitoring
- Synthetic monitoring
- Get started
- Scripting browser monitors
- Configure lightweight monitors
- Manage monitors
- Work with params and secrets
- Analyze monitor data
- Monitor resources on private networks
- Use the CLI
- Configure projects
- Configure Synthetics settings
- Grant users access to secured resources
- Manage data retention
- Use Synthetics with traffic filters
- Migrate from the Elastic Synthetics integration
- Scale and architect a deployment
- Synthetics support matrix
- Synthetics Encryption and Security
- Troubleshooting
- Uptime monitoring
- Real user monitoring
- Universal Profiling
- Alerting
- Service-level objectives (SLOs)
- Cases
- CI/CD observability
- Troubleshooting
- Fields reference
- Tutorials
Mobile service overview
editMobile service overview
editSelecting a mobile service brings you to the Mobile service overview. The Mobile service overview contains a wide variety of charts and tables that provide high-level visibility into how a mobile service is performing for your users—enabling you to make data-driven decisions about how to improve your user experience.
For example, see:
- Crash Rate (Crashes per session)
- Slowest App load time — coming soon
- Number of sessions
- Number of HTTP requests
- Map showing the total number of HTTP requests based on country and region
- Most used devices, network connection type, OS version, and app version
- Latency, throughput, and errors over time
- Service dependencies
All of these metrics & insights can help SREs and developers better understand the health of their mobile application environment and the impact of backend errors and bottlenecks on end-user experience.
Quick stats
editUnderstand the impact of slow application load times and variations in application crash rate on user traffic (coming soon). Visualize session and HTTP trends, and see where your users are located—enabling you to optimize your infrastructure deployment and routing topology.
Note: due to the way crash rate is calculated (crashes per session) it is possible to have greater than 100% rate, due to fact that a session may contain multiple crashes.

Most used
editOptimize your end-user experience and your application QA strategy based on your most used device models and operating system versions.

Throughput and transactions
editThe Throughput chart visualizes the average number of transactions per minute for the selected service.
The Transactions table displays a list of transaction groups for the selected service and includes the latency, traffic, error rate, and the impact for each transaction. Transactions that share the same name are grouped, and only one entry is displayed for each group.
By default, transaction groups are sorted by Impact to show the most used and slowest endpoints in your service. If there is a particular endpoint you are interested in, click View transactions to view a list of similar transactions on the transactions overview page.

Failed transaction rate and dependencies
editThe failed transaction rate represents the percentage of failed transactions from the perspective of the selected service. It’s useful for visualizing unexpected increases, decreases, or irregular patterns in a service’s transactions.
HTTP transactions from the HTTP server perspective do not consider a 4xx
status code (client error) as a failure
because the failure was caused by the caller, not the HTTP server. Thus, event.outcome=success
and there will be no increase in failed transaction rate.
HTTP spans from the client perspective however, are considered failures if the HTTP status code is ≥ 400.
These spans will set event.outcome=failure
and increase the failed transaction rate.
If there is no HTTP status, both transactions and spans are considered successful unless an error is reported.
The Dependencies table displays a list of downstream services or external connections relevant to the service at the selected time range. The table displays latency, throughput, failed transaction rate, and the impact of each dependency. By default, dependencies are sorted by Impact to show the most used and the slowest dependency. If there is a particular dependency you are interested in, click View dependencies to learn more about it.
Displaying dependencies for services instrumented with the Real User Monitoring (RUM) agent requires an agent version ≥ v5.6.3.

