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refer to some places to read more
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README.md

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## limitations
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* no performance/availability isolation between tenants per instance. (only data isolation)
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* no sharding/partitioning mechanism in metrictank itself yet. (Cassandra does it for storage)
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* no sharding/partitioning mechanism in metrictank itself yet. (Cassandra does it for storage) ([work in progress](https://github.com/raintank/metrictank/issues/315))
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* runtime master promotions (for clusters) are a manual process.
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* no computation locality: we move the data from storage to processing code, which is both metrictank and graphite-api.
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* the datastructures can use performance engineering. [A Go GC issue may occassionally inflate response times](https://github.com/golang/go/issues/14812).
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* the native input protocol is inefficient. Should not send all metadata with each point.
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* we use metrics2.0 in native input protocol and indexes, but barely do anything with it yet.
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* we use metrics2.0 in native input protocol and indexes, but [barely do anything with it yet](https://github.com/raintank/metrictank/blob/master/docs/tags.md).
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* for any series you can't write points that are earlier than previously written points. (unless you restart MT)
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## interesting design characteristics (feature or limitation.. up to you)

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