Python observability
with OpenTelemetry (OTel)
OTel auto-instrumentation in Python
we at Helios are leveraging OTel to deliver more value for developers working in distributed systems and microservices. Our approach for OTel auto-instrumentation in Python is easy to implement and maintain and doesn’t require any code changes.
No code changes
No agent required - just `pip install` the Helios OpenTelemetry SDK and add a few environment variables - no need to change anything else.
Get all the context you need
Visualize complex sync and async flows, get a dynamic catalog of your APIs based on real traffic, get visibility into HTTP, gRPC and Kafka messages in the full context of their traces, and more.
No magic tricks
The library's source code is compatible with OpenTelemetry. Easily understand what’s happening, and debug if necessary.
The value of Helios for Python developers
Python Observability
Visibility See your service map and API catalog easily
Interactions’ Payloads Gain visibility into the communication between various components and inspect payloads
Onboarding Allows new developers and SREs to easily understand your architecture
Troubleshooting in Python
Root Cause Analysis Quickly pinpoint the root cause of your issues using Stack trace, error logs, and trace correlation
Replay Flows Find failed requests, generate snippets, and re-run them with the same or different parameters
Identify bottlenecks in app flows Instantly identify and analyze bottlenecks
Python Testing
Pinpoint Failed Tests Efficiently pinpoint the root cause of failed tests and gain insight into tests running in CI/CD
Trace-based Testing Eliminate the need to build testing infrastructure by creating trace-based tests from real traffic
Autogenerate Tests From traces to improve validation
Collaboration
Share Traces, tests and triggers with your team
Collaborate Generate, test, build and edit tests together
Visibility Give your team visibility of issues in your local environment
FAQs
Detailed instructions can be found in our docs.
Completely. The Helios OpenTelemetry SDK is built on top of OpenTelemetry’s Python SDK, and uses industry-standard instrumentation techniques.
No. Helios is free to use.
Our instrumentation is configured to collect all the data you may need to troubleshoot your application and to make sure that context is propagated properly across different services and provides the best way to locate issues and identify their root cause faster than ever.
We support the same versions that are supported by OpenTelemetry, Python 3.7 or later.
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