Service sampling ratio
The service sampling ratio - in case different than the default 100% - is now easily available in Helios for each service and API impacted.
Observability over queue latency
In addition to automatically tracing E2E flows that include handling message queues such as Kafka or Amazon SQS - Helios now provides observability & monitoring over queue latency of the messages handled.
Top APIs by throughput, error rate, and duration
The service dashboard now also offers insight into the top APIs of the service, grouped by:
New metrics on the API dashboard
The API dashboard in Helios now also displays a few new metrics on the top right, calculated based on instrumented data during that time range and in the specific environment:
Service map highlights: Highest frequency, error rate and average duration
The service map in Helios, which is constructed automatically based on distributed tracing data reported by the application, now also highlights the interactions with the highest call frequency (pink), error rate (red), and average call duration (teal).
Temporal.io workflows & activities instrumentation
It's now possible to visualize and apply observability & monitoring to Temporal.io workflows & activities instrumented with the Helios SDK.
Sorting APIs by frequency, error rate and duration
We've added the options to sort the list of APIs (incoming operations) each service has by the following properties - based on the instrumented data and OpenTelemetry spans:
Grouping the most frequent operations in a label
We’ve added a new widget to the label dashboard: the most frequent operations that match the label's conditions.
Service map GA
After some time during which our service map was made available as a beta
feature, we're excited to announce that it is now generally available
Helios Slack Comunity
The Helios Slack Community is now live and users are welcome to join!