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*[More Observability Databases in OSS](#more-observability-databases-in-oss)
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*[Monitoring for Streaming APIs](#monitoring-for-streaming-apis)
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*[In practice](#in-practice)
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*[Common source of useful metadata](#common-source-of-useful-metadata)
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*[References](#references)
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*[Contributors](#contributors)
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*[Contributing](#contributing)
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Unfortunately, both methodologies are hard to implement for Streaming APIs. With the popularization of streaming Remote Procedure Calls (RPC), e.g. gRPC, we must develop a new or updated methodology and tools to monitor those.
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## In practice
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### Common source of useful metadata
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The main source of metadata are dimensions in metrics, span tags in traces and so on in your observability stack. Additional to the metadata in your observability signals, other metadata become important when you work in bigger distributed applications.
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Think about a bigger web shop, there might be a team providing services for customer data, an other team providing services for stock allocation and so on. You might even depend on some external services for billing.
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In order to quickly respond to any problem you need the contact data for each service.
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Or you found a problem in a container image and you want to inform the other teams that use the same image.
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In practice a common source of metadata is important to store additional metadata like support contacts, links to knowledged bases and more. Tools like [backstage](https://backstage.io/) are helpful to collect the metadata from different source and make easy them accessible.
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## References
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1. HARTMANN, Richard. Talk given at Fosdem (Brussels), Feb 2019. Available at: https://archive.fosdem.org/2019/schedule/event/on_observability_2019/. Accessed on: June 24, 2021.
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