Selecting a service on the services page leads you to the detailed service page. A service is a set of processes that do the same job - for example a web framework or database (read more about how services are defined in Getting Started with APM).
Note: Tag any monitor with service:<SERVICE_NAME> to attach it to an APM service.
The service page features summary cards with highlights on your service health. Easily spot potential faulty deployments, click into the card to view details or traces of the latest deployment, or view all deployments on this service. See new issues flagged on your service through our integration with Error Tracking, where errors are automatically aggregated into issues.
Our Service Level Objectives (SLOs) and Incidents summaries allow you to monitor the status of SLOs and ongoing incidents, so that you can keep performance goals top of mind. Click the cards to create a new SLO on the service or declare an incident.
The Watchdog Insights carousel surfaces anomalies detected on specific tags, enabling you to drill down straight to the root cause of an issue.
The Dependency Map showing upstream and downstream services.
Sub-services: When there are multiple services involved, a fourth graph (in the same toggle option as the Dependency Map) breaks down your Total time spent/%of time spent/Avg time per request of your service by services or type.
This represents the total, relative, and average time spent by traces in downstream services from the current service to the other services or type.
Note: For services like Postgres or Redis, which are “final” operations that do not call other services, there is no sub-services graph.
Watchdog performs automatic anomaly detection on the Requests, Latency, and Error graphs. If there is an anomaly detected, there will be an overlay on the graph and a Watchdog icon you can click for more details in a side panel.
On the upper-right corner of each graph click on the arrow in order to export your graph into a pre-existing dashboard:
See Requests, Latency, and Error graphs broken down by resource to identify problematic resources. Resources are particular actions for your services (typically individual endpoints or queries). Read more in Getting Started with APM.
Below, there’s a list of resources associated with your service. Sort the resources for this service by requests, latency, errors, and time, to identify areas of high traffic or potential trouble. Note that these metric columns are configurable (see image below).
Requests: Absolute amount of requests traced (per seconds)
Requests per second: Absolute amount of requests traced per second
Total time: Sum of all time spend in this resource
Avg/p75/p90/p95/p99/Max Latency: The Avg/p75/p90/p95/p99/Max latency of your traced requests
Errors: Absolute amount of error for a given resource
Error Rate: Percent of error for a given resource
A service configured with version tags will show versions in the Deployment tab. The version section shows all versions of the service that were active during the selected time interval, with active versions at the top.
By default you will see:
The version names deployed for this service over the timeframe.
The times at which traces that correspond to this version were first and last seen.
An Error Types indicator, which shows how many types of errors appear in each version that did not appear in the immediately previous version.
Note: This indicator shows errors that were not seen in traces from the previous version. It doesn’t mean that this version necessarily introduced these errors. Looking into new error types can be a great way to begin investigating errors.
Requests per second.
Error rate as a percentage of total requests.
You can add columns to or remove columns from this overview table and your selections will be saved. The additional available columns are:
Endpoints that are active in a version that were not in the previous version.
Time active, showing the length of time from the first trace to the last trace sent to Datadog for that version.
Total number of Requests.
Total number of Errors.
Latency measured by p50, p75, p90, p95, p99, or max.
View issues on your service, which are similar errors aggregated together to turn a noisy stream of errors into manageable issues and help you assess the impact of your service’s errors. Read more about issues in Error Tracking)
This tab has overview graphs that show which resources have the most issues and a list of the most common issues occurring in your service. Click on an issue in the list to see details in a side panel, including its stack trace, related code versions, and total error occurrences since inception.
If your service is running on Kubernetes, you’ll see an Infrastructure tab on the Service Page. The live Kubernetes pods table shows you detailed information on your pods, such as if memory usage is close to its limit, and allows you to improve resource allocation by clearly seeing if provisioned compute resources exceed what’s required for optimal application performance.
The Kubernetes metrics below show you a high level summary of your infrastructure health for the selected time period, including CPU, Memory, Network, and Disk metrics.
If runtime metrics are enabled in the tracing client, you’ll see a Runtime metrics tab corresponding to the runtime language of your service. Read more in Runtime Metrics.
You’ll see a Profiling tab if the Continuous Profiler is set up for your service. Summary details like versions available and runtime language are at the top. Below are out-of-the-box profiling metrics by version, endpoint, and method to help you identify and debug resource-intensive methods. Click on any graph to view related traces, logs, and other data, or open a flame graph to inspect the code profile. Learn more about APM and the Continuous Profiler.
View the list of traces associated with the service in the traces tab, which is already filtered on your service, environment, and operation name. Drill down to problematic spans using core facets such as status, resource, and error type. For more information, click a span to view a flame graph of its trace and more details.
View common patterns in your service’s logs, and use facets like status in the search bar to filter the list of patterns. Click on a pattern to open the side panel to view more details, such as what events triggered the cascade. Read more in Log Patterns.
Additional helpful documentation, links, and articles: