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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Yes, I already do that and have OTLP integration and use a few Google Cloud products for custom metrics. But I work on an Open Source project: https://github.com/squidex/squidex There are 2 reasons for built-in metrics: 1. Provide basic metrics for my users, even if they do not use any of these solutions. 2. I need the metrics for billing and to implement API call limits. Therefore there are different aggregations. Some metrics are aggregated by month, other by day. To check whether a limit has been reached I only need one request on a primary key.
Threading.Channel has more or less replaced all the concurrent queue alternatives for me. channels have the benefit of nonblocking wait for when the channel can be written.
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