As our library continues to grow and evolve, we must evaluate and monitor how we're impacting performance in consuming projects -- particularly in Kibana.
This PR raised concerns about the potential performance impacts of the Emotion conversion.
We encountered some performance related issues in Kibana related to Emotion, but most of them have been mitigated by an effort to memoize emotion styles. At the time of writing this issue, we have about 80% of the library converted to Emotion, so we do not anticipate many more performance issues related to Emotion.
However, we must consider how we prevent future performance degredation and manage to a baseline level of performance in the EUI library on an ongoing basis.
The foundational task that we'd need to accomplish as part of this Meta issue is establishing that baseline, and putting a system in place to continually monitor it.
As our library continues to grow and evolve, we must evaluate and monitor how we're impacting performance in consuming projects -- particularly in Kibana.
This PR raised concerns about the potential performance impacts of the Emotion conversion.
We encountered some performance related issues in Kibana related to Emotion, but most of them have been mitigated by an effort to memoize emotion styles. At the time of writing this issue, we have about 80% of the library converted to Emotion, so we do not anticipate many more performance issues related to Emotion.
However, we must consider how we prevent future performance degredation and manage to a baseline level of performance in the EUI library on an ongoing basis.
The foundational task that we'd need to accomplish as part of this Meta issue is establishing that baseline, and putting a system in place to continually monitor it.