A span can have zero or more key/value attributes. Attributes allow you to create metadata about the span. For example, you might create attributes that hold a customer ID, or information about the environment that the request is operating in, or an app’s release. Attributes do not reflect any time-based events (log events handle events). The OpenTelemetry spec defines several standard attributes.
You can also implement your own attributes and events. The following are attributes and log events that work very well with Cloud Observability in addition to the OpenTelemetry semantic conventions. Any attribute that you add to your span data will enable more segmentation, making it easier to find, filter, and group your span data in Cloud Observability. Cloud Observability doesn’t have cardinality limitations, so the more attributes you use, the greater your insights will be.
Cloud Observability can analyze your instrumentation and recommend ways to improve it. If there is metadata that you’d like all services to report to Cloud Observability (like a customer ID or Kubernetes region), you can register the corresponding attributes and Cloud Observability will check for those when determining the IQ score.
In particular, attributes that allow you to segment user pathways are useful. Adding things like “parameters” (
params.count), that correspond to the operation on the span and tell an operation which path to take depending on user input, are also very helpful for grouping, filtering, and segmenting. Otherwise, you may optimize for one use case without noticing some other outlier use case that only gets triggered 1/4 the time. Correlations will also be able to spot the outliers from these attribute values.
Define namespaces, for example
This is especially important when multiple service teams have their own attribute and logs
Following are recommended attributes (other than the OpenTelemetry attributes) that provide greater visibility into your span data.
Use the OpenTelemetry semantic attributes whenever possible.
User-related attributes provide context about your application’s users.
Software-related attributes provide context about your application’s software.
Production code versions:
service.version attribute allows you to monitor deploys in Cloud Observability.
http.status_code_groupsuch as 4xx, 5xx, 2xx.
internal.error(differentiating when an error is caused by a user, for example a 404, 400 versus 500)
These help to quickly figure out the magnitude of exceptions or specific error types that are occurring.
canary: true/false, or other A/B test
pubsub.message_id, and other attributes corresponding to
Data-related attributes provide context about the data in your application.
payload.size, or other size attributes when sending and receiving data.
Infrastructure-related attributes provide context about your application’s infrastructure
region, or any sort of regional, zone, or geographical attribute.
node.id, to show when a problem is isolated to a particular cluster, pod or node.
sanitized payload for request, forwarding to <xyz>.
context deadline exceeded. An operation may go for a few seconds and logging can add context on what it’s doing or what it’s waiting for.
Updated Nov 2, 2019