Eric

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9 results found

  1. disk iops

    1 vote
    0 comments  ·  Ops Tools » Monitoring / Alerts  ·  Admin →
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    Eric shared this idea  · 

  2. Allow ability to exclude specific fields from Atlas Search

    2 votes
    1 comment  ·  Atlas Search  ·  Admin →
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    Eric commented  · 

    Can't you already do this by turning dynamic mapping off?

  3. Allow the ability to test Atlas Search locally

    369 votes
    37 comments  ·  Atlas Search  ·  Admin →
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    Eric supported this idea  · 

  4. Add a "Limit" to Delete and Bulk Delete operations

    10 votes
    2 comments  ·  Database  ·  Admin →
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    Eric commented  · 

    Please throttle remove().

    Please allow caller to throttle or limit "remove()". The syntax to remove includes a filter query much like find(). But, there is NO limit. So if a caller wants to delete all documents older than date X, but only delete 1MM of them at a time, there is NO good way to do that. It would be really nice to allow finer control of remove.

    Eric supported this idea  · 

  5. disk iops

    15 votes
    5 comments  ·  Atlas » Monitoring and Metrics  ·  Admin →
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    Eric commented  · 

    Just commenting to bump this up. This is a trivial add that would mean so much to me. :)

    Eric shared this idea  · 

  6. metrics

    10 votes
    1 comment  ·  Atlas » Monitoring and Metrics  ·  Admin →
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    Eric shared this idea  · 

  7. Autoscaling improvements

    156 votes
    18 comments  ·  Atlas » Autoscaling  ·  Admin →
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    Eric commented  · 

    Our workload is highly predictable. We serve K-12 students. For 8 hours, M-F we have very heavy loads. Evenings, weekends, holidays and summers we have nothing.

    I'd like to +1 on the time-based scaling... but only as substitute for better granularity on perf metrics.

    It would be better to trigger scale up/scale down on IOPS or Ops. Ops is the better metric b/c it does not change when the scale changes. (whereas read iops can drop precipitously after a scale up)

    For instance, scale up when OPS hit 500, 1000, 2000. To scale down, you could specify these metrics as pairs.

    500,100 => scale up when hit 500, down when fall back to 100.
    1000, 500 => scale up when hit 1000, down when back to 500.
    2000, 1000 = > scale up when hit 2000, down when back to 1000.

    Or, just take single points... and 100, 500, 1000, 2000 and infer the scale down from the previous up point.

  8. Show a graph of BANKED iops (AWS)

    11 votes
    1 comment  ·  Atlas » Monitoring and Metrics  ·  Admin →
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    Eric shared this idea  · 

  9. Suggested actions for alerts

    62 votes
    8 comments  ·  Atlas » Alerts  ·  Admin →
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    Eric commented  · 

    Please... just add the collection name and query. You can get fancy after that.

    Eric supported this idea  · 

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