| # Copyright 2019 The Fuchsia Authors. All rights reserved. |
| # Use of this source code is governed by a BSD-style license that can be |
| # found in the LICENSE file. |
| |
| metric_definitions: |
| |
| ##################################################################### |
| # fuchsia_up_ping |
| # |
| # Periodically, we log one or more of the following events: |
| # - Up, if the device is up at all |
| # - UpOneMinute, if the device has been up for at least one minute |
| # - UpTenMInutes, if the device has been up for at lest ten minutes |
| # - etc. |
| # |
| # Note that each event is logged repeatedly by our periodic process. |
| # It is not the case, for example, that UpOneMinute is only logged once |
| # when the device has been up for one minute. The intention is that this |
| # metric be used with local daily aggregation. |
| ##################################################################### |
| - id: 1 |
| metric_name: fuchsia_up_ping |
| metric_type: EVENT_OCCURRED |
| metric_dimensions: |
| - dimension: uptime |
| event_codes: |
| 0: Up |
| 1: UpOneMinute |
| 2: UpTenMinutes |
| 3: UpOneHour |
| 4: UpTwelveHours |
| 5: UpOneDay |
| 6: UpThreeDays |
| 7: UpSixDays |
| max_event_code: 7 |
| reports: |
| ##################################################################### |
| # fuchsia_unique_device_counts |
| # |
| # Every day we count the number of unique devices that are |
| # - up at all during the day |
| # - up during the day and have been up for at least one minute |
| # - up during the day and have been up for at least 10 minutes |
| # - etc. |
| ##################################################################### |
| - report_name: fuchsia_unique_device_up_counts |
| id: 2228126248 # legacy long report_id |
| report_type: UNIQUE_N_DAY_ACTIVES |
| local_privacy_noise_level: NONE |
| window_size: |
| - 1 |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| ##################################################################### |
| # fuchsia_up_ping |
| # |
| # We count the number of pings without the on-device aggregation. |
| # Note that the actual values of the counts are not particularly |
| # meaningful. We expect to use this report primarily as a sanity check of |
| # the reporting system. |
| ##################################################################### |
| - report_name: fuchsia_up_ping |
| id: 1074068063 # legacy long report_id |
| report_type: SIMPLE_OCCURRENCE_COUNT |
| local_privacy_noise_level: NONE |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/01/17" |
| |
| |
| ##################################################################### |
| # fuchsia_lifetime_events |
| # |
| # We log each time one of these events occur on a Fuchsia device. |
| ##################################################################### |
| - id: 2 |
| metric_name: fuchsia_lifetime_events |
| metric_type: EVENT_OCCURRED |
| metric_dimensions: |
| - dimension: events |
| event_codes: |
| 0: Boot |
| max_event_code: 7 |
| reports: |
| ##################################################################### |
| # fuchsia_lifetime_event_counts |
| # |
| # Every day we count the number of times the following events occur across |
| # the fleet: |
| # - boots |
| ##################################################################### |
| - report_name: fuchsia_lifetime_event_counts |
| id: 14219118 # legacy long report_id |
| report_type: SIMPLE_OCCURRENCE_COUNT |
| local_privacy_noise_level: NONE |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| |
| ##################################################################### |
| # fuchsia_unique_device_lifetime_event_counts |
| # |
| # Every day we count the number of unique devices for which each |
| # of the following events occurred during the course of the day: |
| # - boot |
| ##################################################################### |
| - report_name: fuchsia_unique_device_lifetime_event_counts |
| id: 560138269 # legacy long report_id |
| report_type: UNIQUE_N_DAY_ACTIVES |
| local_privacy_noise_level: NONE |
| window_size: |
| - 1 |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/01/17" |
| |
| ##################################################################### |
| # fuchsia memory_usage |
| # |
| # For every minute, we log the memory usage in bytes with breakdowns: |
| ##################################################################### |
| - id: 3 |
| metric_name: fuchsia_memory_experimental |
| metric_type: MEMORY_USAGE |
| metric_dimensions: |
| - dimension: memory_breakdown |
| event_codes: |
| 0: TotalBytes |
| 1: UsedBytes |
| 2: FreeBytes |
| 3: VmoBytes |
| 4: KernelFreeHeapBytes |
| 5: MmuBytes |
| 6: IpcBytes |
| 7: KernelTotalHeapBytes |
| 8: WiredBytes |
| 9: OtherBytes |
| reports: |
| ##################################################################### |
| # fuchsia_memory_usage |
| # |
| ##################################################################### |
| - report_name: fuchsia_memory_usage_numeric_aggr_experimental |
| id: 490323763 # legacy long report_id |
| report_type: NUMERIC_AGGREGATION |
| percentiles: [5, 10, 90, 95, 99] |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| - report_name: fuchsia_memory_usage_histogram_experimental_2 |
| id: 2249350189 # legacy long report_id |
| report_type: INT_RANGE_HISTOGRAM |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 154 |
| step_size: 10485760 # 10 MB |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/10/25" |
| |
| ##################################################################### |
| # fuchsia memory_usage with up time breakdown |
| # |
| # For every minute, we log the memory usage in bytes with breakdowns: |
| ##################################################################### |
| - id: 4 |
| metric_name: fuchsia_memory_experimental_2 |
| metric_type: MEMORY_USAGE |
| metric_dimensions: |
| - dimension: memory_breakdown |
| event_codes: |
| 0: TotalBytes |
| 1: UsedBytes |
| 2: FreeBytes |
| 3: VmoBytes |
| 4: KernelFreeHeapBytes |
| 5: MmuBytes |
| 6: IpcBytes |
| 7: KernelTotalHeapBytes |
| 8: WiredBytes |
| 9: OtherBytes |
| - dimension: time_since_boot |
| event_codes: |
| 0: Up |
| 1: UpOneMinute |
| 2: UpThirtyMinutes |
| 3: UpOneHour |
| 4: UpSixHours |
| 5: UpTwelveHours |
| 6: UpOneDay |
| 7: UpTwoDays |
| 8: UpThreeDays |
| 9: UpSixDays |
| reports: |
| ##################################################################### |
| # fuchsia_memory_usage |
| ##################################################################### |
| - report_name: fuchsia_memory_usage_numeric_aggr_experimental |
| id: 490323763 # legacy long report_id |
| report_type: NUMERIC_AGGREGATION |
| percentiles: [5, 10, 90, 95, 99] |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| - report_name: fuchsia_memory_usage_histogram_experimental |
| id: 57178942 # legacy long report_id |
| report_type: INT_RANGE_HISTOGRAM |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 154 |
| step_size: 10485760 # 10 MB |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/10/25" |
| |
| ##################################################################### |
| # ****** WILL DEPRECATE. Use id 8 below instead. ****** |
| # fuchsia CPU% * 100 averaged over all cores taken per sec |
| # |
| # For every second, a syscall is made to fetch the CPU idle time for |
| # each CPU core. With that, we calculate the CPU% which is |
| # (busy time / 1 sec * 100) for each core. Assuming all cores are |
| # the same, we take the average CPU% over all cores. |
| # Note that Cobalt only take integer input, so we further multiply the |
| # average CPU% by 100 to get 2 decimal places. |
| # We aggregate 60 data points before flushing them into Cobalt through |
| # one FIDL call. |
| # Note that we are using MEMORY_USAGE metric_type until CPU_USAGE is |
| # avaiable. |
| ##################################################################### |
| - id: 5 |
| metric_name: fuchsia_cpu_percentage_experimental |
| metric_type: MEMORY_USAGE # TODO(CB-253) Change to CPU metric type when available |
| metric_dimensions: |
| - dimension: device_state |
| event_codes: |
| 0: Unknown |
| 1: Idle |
| 2: Active |
| reports: |
| ##################################################################### |
| # fuchsia_cpu_usage |
| ##################################################################### |
| - report_name: fuchsia_cpu_percentage_histogram_experimental |
| id: 1375790990 # legacy long report_id |
| report_type: INT_RANGE_HISTOGRAM |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 100 |
| step_size: 100 # We multiply CPU% by 100. So step size is 100. |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/10/25" |
| |
| ##################################################################### |
| # fuchsia_uptime |
| # |
| # Once per hour, we check the time since the system metrics daemon |
| # started, and send the uptime in hours (rounded down to the nearest |
| # hour from the true uptime). |
| ##################################################################### |
| - id: 6 |
| metric_name: "fuchsia_uptime" |
| metric_type: ELAPSED_TIME |
| metric_dimensions: |
| - dimension: uptime_range |
| event_codes: |
| 0: LessThanTwoWeeks |
| 1: TwoWeeksOrMore |
| reports: |
| ##################################################################### |
| # fuchsia_uptime_hourly_bucket_counts |
| # |
| # Each day, we report the total number of pings we received |
| # for each 1-hour uptime bucket, up to a cap of 2 weeks. These |
| # numbers will be used to compute statistics of the uptime per |
| # boot session, under the assumption that most devices will reboot |
| # for updates at least once every 2 weeks. |
| ##################################################################### |
| - report_name: fuchsia_uptime_hourly_bucket_counts |
| id: 3731123077 # legacy long report_id |
| report_type: INT_RANGE_HISTOGRAM |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 336 |
| step_size: 1 |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| ##################################################################### |
| # fuchsia_uptime_daily_bucket_counts |
| # |
| # Each day, we report the total number of pings we received |
| # for each 24-hour uptime bucket, up to a cap of 2 weeks. These numbers |
| # will be used to visualize the uptime per boot session, under the |
| # assumption that most devices will reboot for updates at least once |
| # every 2 weeks. |
| ##################################################################### |
| - report_name: fuchsia_uptime_daily_bucket_counts |
| id: 3715674597 # legacy long report_id |
| report_type: INT_RANGE_HISTOGRAM |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 14 |
| step_size: 24 |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| ##################################################################### |
| # fuchsia_uptime_per_device_max |
| # |
| # Each day, we report statistics of the maximum uptime reached by |
| # devices on that day. (The uptime session may have started on a |
| # previous day.) One piece of information provided by this report is |
| # the number of unique devices which have been up for 2 weeks or |
| # more on a given day. |
| ##################################################################### |
| - report_name: fuchsia_uptime_per_device_max |
| id: 3666699243 # legacy long report_id |
| report_type: PER_DEVICE_NUMERIC_STATS |
| aggregation_type: MAX |
| window_size: |
| - 1 |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, SYSTEM_VERSION, CHANNEL] |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/06/14" |
| |
| ##################################################################### |
| # fuchsia device temperature in degree celsius |
| |
| # Device temperature is fetched every 10 seconds, and flushed into Cobalt |
| # every 1 minute (6 samples at once). |
| ##################################################################### |
| - id: 7 |
| metric_name: fuchsia_temperature_experimental |
| metric_type: INT_HISTOGRAM |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 80 # Assuming max 80 degree celsius. |
| step_size: 1 |
| reports: |
| - report_name: fuchsia_temperature_histogram_experimental |
| id: 1340833861 # legacy long report_id |
| report_type: INT_RANGE_HISTOGRAM |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/10/25" |
| |
| |
| ##################################################################### |
| # fuchsia CPU% * 100 averaged over all cores taken per sec |
| # |
| # For every second, a syscall is made to fetch the CPU idle time for |
| # each CPU core. With that, we calculate the CPU% which is |
| # (busy time / 1 sec * 100) for each core. Assuming all cores are |
| # the same, we take the average CPU% over all cores. |
| # Note that Cobalt only take integer input, so we further multiply the |
| # average CPU% by 100 to get 2 decimal places. |
| # We aggregate 10 minutes of data before flushing them into Cobalt in |
| # one FIDL call. |
| # Estimated number of events per day is 3 * (24 * 60)/10 = 432. |
| ##################################################################### |
| - id: 8 |
| metric_name: cpu_percentage |
| metric_type: INT_HISTOGRAM |
| metric_dimensions: |
| - dimension: device_state |
| event_codes: |
| 0: Unknown |
| 1: Idle |
| 2: Active |
| int_buckets: |
| linear: |
| floor: 0 |
| num_buckets: 1000 # 0.00% - 100.00%. |
| step_size: 10 # 0.10% |
| reports: |
| ##################################################################### |
| # fuchsia_cpu_usage |
| ##################################################################### |
| - report_name: cpu_percentage_histogram |
| id: 1 |
| report_type: INT_RANGE_HISTOGRAM |
| system_profile_field: [BOARD_NAME, PRODUCT_NAME, ARCH, SYSTEM_VERSION, OS, CHANNEL] |
| meta_data: |
| max_release_stage: GA |
| expiration_date: "2020/12/17" |
