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Jaeger graduation proposal #171
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Signed-off-by: Yuri Shkuro <ys@uber.com>
Thanks @yurishkuro RFC @cncf/toc |
@yurishkuro have any maintainers been added since the project came into CNCF? |
Signed-off-by: Yuri Shkuro <ys@uber.com>
Signed-off-by: Yuri Shkuro <ys@uber.com>
I will pick this up to drive due diligence. |
Signed-off-by: Yuri Shkuro <ys@uber.com>
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Thanks @yurishkuro. Flushing out a few comments. Generally looks good, but let me know when addressed and I will take another pass. Thank you!
reviews/graduation-jaeger.md
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* Over 2700 microservices are integrated with Jaeger, which collects about 10 billion spans per day, across multiple data centers. | ||
* Data mining techniques on traces are used to significantly reduce root cause analysis time during outages. | ||
* Tracing data is utilized by a number of other internal tools, such as using it to reduce duplicate alerts, and to infer data lineage. | ||
* [Weaveworks](https://www.weave.works/) empowers developers and DevOps teams to build better software faster. Using Jaeger in production since Spring 2018. ~70 microservices, ~600 containers, most of services are instrumented with Jaeger. Using AWS Elasticsearch as the span storage backend, with two weeks retention. |
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@monadic do you have anything that you want to add here in support of graduation from the Weaveworks perspective?
Signed-off-by: Yuri Shkuro <ys@uber.com>
Signed-off-by: Yuri Shkuro <ys@uber.com>
Signed-off-by: Yuri Shkuro <ys@uber.com>
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LGTM.
@cncf/toc and community PTAL. I will be producing a parallel DD document as well. Thank you!
Signed-off-by: Yuri Shkuro <ys@uber.com>
+1 binding TOC votes (7/9):
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