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Results 1 - 6 of 6 for Nanoseconds (0.2 sec)

  1. CHANGELOG/CHANGELOG-1.10.md

    * Upgrade Stackdriver Logging Agent addon image to 0.6-1.6.0-1 to use Fluentd v1.2. This provides nanoseconds timestamp granularity for logs. ([#70954](https://github.com/kubernetes/kubernetes/pull/70954), [@qingling128](https://github.com/qingling128))
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  2. CHANGELOG/CHANGELOG-1.13.md

    - Upgrade Stackdriver Logging Agent addon image to 0.6-1.6.0-1 to use Fluentd v1.2. This provides nanoseconds timestamp granularity for logs. ([#70954](https://github.com/kubernetes/kubernetes/pull/70954), [@qingling128](https://github.com/qingling128))
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  3. CHANGELOG/CHANGELOG-1.12.md

    * Upgrade Stackdriver Logging Agent addon image to 0.6-1.6.0-1 to use Fluentd v1.2. This provides nanoseconds timestamp granularity for logs. ([#70954](https://github.com/kubernetes/kubernetes/pull/70954), [@qingling128](https://github.com/qingling128))
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    - Last Modified: Thu Feb 06 06:04:15 GMT 2020
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  4. CHANGELOG/CHANGELOG-1.11.md

    * Upgrade Stackdriver Logging Agent addon image to 0.6-1.6.0-1 to use Fluentd v1.2. This provides nanoseconds timestamp granularity for logs. ([#70954](https://github.com/kubernetes/kubernetes/pull/70954), [@qingling128](https://github.com/qingling128))
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  5. CHANGELOG/CHANGELOG-1.25.md

      - `priority_level_seat_count_watermarks` is removed.
      - `priority_level_request_count_samples` is replaced with `priority_level_request_utilization`, which samples every nanosecond rather than every millisecond; the old metric conveyed utilization despite its name.
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  6. CHANGELOG/CHANGELOG-1.26.md

        - `apiserver_flowcontrol_upper_limit_seats`: Configured upper bound on number of execution seats available to each priority level
        - `apiserver_flowcontrol_demand_seats`: Observations, at the end of every nanosecond, of (the number of seats each priority level could use) / (nominal number of seats for that level)
        - `apiserver_flowcontrol_demand_seats_high_watermark`: High watermark, over last adjustment period, of demand_seats
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