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Show Impact metric in the Operations list on the Insights page. #6389

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Show Impact metric in the Operations list on the Insights page. #6389

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kamilkisiela
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@kamilkisiela kamilkisiela commented Jan 17, 2025 •
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Impact equals to the total time spent (p95) on this operation in the selected period in seconds.
It helps assess which operations contribute the most to overall latency.

Impact = Requests * p95/1000

The result of that formula is formatted number:

1                = 1
1.5              = 1.5
10               = 10
10.5             = 11
100              = 100
554              = 554
1000             = 1K
1240             = 1.2K
10000            = 10K
10712            = 11K
100000           = 100K
321120.15        = 321K
1000000          = 1M
10000000         = 10M
100000000        = 100M
1000000000       = 1B
3123400000       = 3.1B
10000000000      = 10B
100000000000     = 100B
1000000000000    = 1T
10000000000000   = 10T
100000000000000  = 100T

A time unit could be used instead, but comparing seconds, minutes, hours, days, months, years... is awkward and much harder (9 weeks vs 4 months) than 23K vs 1M.

I also used a newer Tooltip component, so it looks much better.

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github-actions bot commented Jan 17, 2025 •
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📚 Storybook Deployment

The latest changes are available as preview in: https://973387dc.hive-storybook.pages.dev

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github-actions bot commented Jan 17, 2025 •
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🚀 Snapshot Release (alpha)

The latest changes of this PR are available as alpha on npm (based on the declared changesets):

Package Version Info
@graphql-hive/cli 0.46.1-alpha-20250120160152-5183c1fc7d066d5a7c52a212a22659c28499c598 npm ↗︎ unpkg ↗︎
hive 4.1.0-alpha-20250120160152-5183c1fc7d066d5a7c52a212a22659c28499c598 npm ↗︎ unpkg ↗︎

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github-actions bot commented Jan 17, 2025 •
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🐋 This PR was built and pushed to the following Docker images:

Targets: build

Platforms: linux/arm64

Image Tag: 5183c1fc7d066d5a7c52a212a22659c28499c598

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@kamilkisiela
New Impact metric in Insights > Operations list
be78beb 
Impact equals to the total time spent (p95) on this operation in the selected period in seconds.

It helps assess which operations contribute the most to overall latency.

Impact = Requests * p95/1000
@kamilkisiela kamilkisiela force-pushed the kamil-insights-impact branch from ac78efa to be78beb Compare January 20, 2025 10:25
@kamilkisiela kamilkisiela enabled auto-merge (squash) January 20, 2025 11:29
erikwrede
erikwrede approved these changes Jan 20, 2025
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Thanks for tagging me! The current use of the p95 * request count metric is already quite helpful. However, for operations with p95s caused by load spikes, the "Impact" metric may be misleading because it only reflects the top 5% of requests. In such cases, "Impact" might be more accurately represented by the total sum of latency across all requests.
Both the present and suggested metrics are incredibly useful, so this is a great start!

@kamilkisiela kamilkisiela marked this pull request as draft January 20, 2025 16:01
auto-merge was automatically disabled January 20, 2025 16:01

Pull request was converted to draft

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@erikwrede erikwrede erikwrede approved these changes

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