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## What is Odigos? | ||
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Odigos is an open-source distributed tracing solution that revolutionizes observability for Kubernetes environments. It provides instant tracing capabilities without requiring any code changes to your applications. |
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Odigos is an open-source distributed tracing solution that revolutionizes observability for Kubernetes environments. It provides instant tracing capabilities without requiring any code changes to your applications. | |
Odigos is an open-source distributed tracing solution that revolutionizes observability for Kubernetes environments. It provides instant distributed tracing, metrics and log capabilities without requiring any code changes to your applications. |
* **Code-Free Instrumentation**: Set up distributed tracing in minutes, eliminating manual code modifications. | ||
* **Multi-Language Support**: Works with Java, Python, .NET, Node.js, and Go applications. | ||
* **eBPF-Powered**: Utilizes eBPF technology for high-performance instrumentation, especially for Go applications. | ||
* **OpenTelemetry Compatible**: Generates traces in OpenTelemetry format for broad tool compatibility. |
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* **OpenTelemetry Compatible**: Generates traces in OpenTelemetry format for broad tool compatibility. | |
* **OpenTelemetry Compatible**: Generates traces, metrics and logs in OpenTelemetry format for broad tool compatibility. |
README.md
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* **Code-Free Instrumentation**: Set up distributed tracing in minutes, eliminating manual code modifications. | ||
* **Multi-Language Support**: Works with Java, Python, .NET, Node.js, and Go applications. | ||
* **eBPF-Powered**: Utilizes eBPF technology for high-performance instrumentation, especially for Go applications. |
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For the open-source version, eBPF is used only for go. Is the "especially" meant for the enterprise edition?
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yes, I think we can rephrase it like this:
eBPF-Powered: Utilizes eBPF technology for high-performance instrumentation of Go applications. eBPF-based instrumentation for Java, Python, .NET, and Node.js is available in the commercial edition.
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## Why Choose Odigos? | ||
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1. **Efficiency**: Over 20x faster than manual instrumentation at higher percentiles. |
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This is only for the enterprise tier
README.md
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| | Traces | Metrics | Logs | | ||
| ------------------------- | -------- | --------- | ------ | | ||
| New Relic | ✅ | ✅ | ✅ | | ||
| Datadog | ✅ | ✅ | ✅ | | ||
| Grafana Cloud | ✅ | ✅ | ✅ | | ||
| Honeycomb | ✅ | ✅ | ✅ | | ||
| Chronosphere | ✅ | ✅ | | | ||
| Logz.io | ✅ | ✅ | ✅ | | ||
| qryn.cloud | ✅ | ✅ | ✅ | | ||
| OpsVerse | ✅ | ✅ | ✅ | | ||
| Dynatrace | ✅ | ✅ | ✅ | | ||
| AWS S3 | ✅ | ✅ | ✅ | | ||
| Google Cloud Monitoring | ✅ | | ✅ | | ||
| Google Cloud Storage | ✅ | | ✅ | | ||
| Azure Blob Storage | ✅ | | ✅ | | ||
| Splunk | ✅ | | | | ||
| Lightstep | ✅ | | | | ||
| Sentry | ✅ | | | | ||
| Axiom | ✅ | | ✅ | | ||
| Sumo Logic | ✅ | ✅ | ✅ | | ||
| Coralogix | ✅ | ✅ | ✅ | |
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This list is not up to date.
While we are at it, or as a followup PR, we can update it and add missing destinations (like Elastic APM and Gigapipe).
I also wonder if it makes more sense to sort it alphabetically
| | Traces | Metrics | Logs | | ||
| ------------- | ------ | ------- | ---- | | ||
| --------------- | -------- | --------- | ------ | |
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Also this list is not up-to-date.
For example, it is missing ClickHouse and otlp (gRPC, http) destinations
Co-authored-by: Amir Blum <[email protected]>
Co-authored-by: Amir Blum <[email protected]>
Added description of Odigos and updated links to YouTube playlist