Retrieving Metric Data

Using the metric retrieval methods you can retrieve performance metrics at the cluster, node, and column family levels.

Additionally, you have the ability to use existing metric data to create a forecast of future data points for a specific metric. More information on forecasting is available here

Metric Retrieval Methods URL
Retrieve cluster-wide metrics. GET /{cluster_id}/cluster-metrics/{dc}/{metric}
Retrieve cluster-wide metrics about a device. GET /{cluster_id}/cluster-metrics/{dc}/{metric}/{device}
Retrieve cluster-wide metrics about a column family. GET /{cluster_id}/cluster-metrics/{dc}/{ks_name}/{cf_name}/{metric}
Retrieve metrics about a node. GET /{cluster_id}/metrics/{node_ip}/{metric}
Retrieve node-specific metrics about a device. GET /{cluster_id}/metrics/{node_ip}/{metric}/{device}
Retrieve node-specific metrics about a column family. GET /{cluster_id}/metrics/{node_ip}/{ks_name}/{cf_name}/{metric}
Retrieve a forecast for a cluster-wide metric. GET /{cluster_id}/cluster-metrics/{dc}/{metric}
New way to retrieve all types of metrics. GET /{cluster_id}/new-metrics

You can choose from a large number of metric keys to pass with these methods, making retrieval of a wide spectrum of performance information possible.

Controlling the Metric Data Output

You can also use the following query parameters with these methods to control the output:

Query Parameter Description
start (optional) A timestamp in seconds indicating the beginning of the time range to fetch. When omitted, this defaults to one day before the end parameter.
end (optional) A timestamp in seconds indicating the end of the time range to fetch. When omitted, this defaults to the current time.
step (optional) The resolution of the data points for the metric. Valid input options are: 1, 5, 120, or 1440 minutes; corresponding output intervals are 60, 300, 7200, or 86400 seconds. The default is a 1 minute step.
step (optional) The new metrics api requires that the step argument.
(new-metrics) be specified in seconds rather than minutes. This is to stay consistent with the return format of the new api. Valid inputs in this case are: 60, 300, 7200, and 86400.
function (optional) The type of aggregation to perform on the metric: min, max, or average. By default, results are returned for all three types of aggregation.
forecast (optional) A boolean flag indicating that we would like to generate a forecast for the time range and step specified. This will use past data to calculate projected data points in the time range specified.

Results of calls to retrieve metrics are returned in the following format:

{
  [<node_ip>: | <device>: | <keyspace.columnfamily>:]
    {
      <function>:
        [
          [<timestamp> <value>],
          ...
        ]
    }
}

By default, the output is metric data points at 60-second intervals over a 24-hour period. Data points are listed in chronological order, starting with the oldest data point first.

GET /{cluster_id}/cluster-metrics/{dc}/{metric}

Aggregate a metric across multiple nodes in the cluster rather than retrieving data about a single node.

Path arguments:
  • cluster_id – A Cluster Config ID.
  • dc – The name of the data center for the nodes. Use the name all to aggregate a metric across all data centers.
  • metric – One of the Cluster Metrics Keys.
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Returns metric data across multiple nodes in a cluster.

Example

Get the average write requests per second over to the cluster over all data centers on May 1, 2012 from 8 AM to 5 PM GMT. Show data points at 2-hour (120-minute) intervals.

curl -G
  http://127.0.0.1:8888/Test_Cluster/cluster-metrics/all/write-ops
    -d 'step=120'
    -d 'start=1335859200'
    -d 'end=1335891600'
    -d 'function=average'

Output:

Data points at 2-hour (7200 seconds) intervals show the number of write requests per second during business hours on May 1.

{
  "Total": {
    "AVERAGE": [
      [
        1335859200,
        null
      ],
      [
        1335866400,
        13.376885890960693
      ],
      [
        1335873600,
        13.372154712677002
      ],
      [
        1335880800,
        13.365732669830322
      ],
      [
        1335888000,
        13.392115592956543
      ]
    ]
  }
}
GET /{cluster_id}/cluster-metrics/{dc}/{metric}/{device}

Aggregate a disk or network metric, which pertains to a specific device, across multiple nodes in the cluster rather than retrieving data about a single node.

Path arguments:
  • cluster_id – A Cluster Config ID.
  • dc – The name of the data center for the nodes. Use the name all to aggregate a metric across all data centers.
  • metric – One of the Cluster Metrics Keys or Operating System Metrics Keys.
  • device – The device to be measured, which the Node object lists. Use the name all to measure all devices, For example, when requesting a disk metric, all will aggregate metrics from all disk devices.
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Examples of Device Arguments

To determine the set of network interfaces that metrics are available for, you can run a query similar to the following:

curl http://localhost:8888/Test_Cluster/nodes/192.168.1.1/network_interfaces
["lo0", "eth0", "eth1"]

In this case, lo0, eth0, and eth1 can all be used.

Disk devices can be discovered in a similar way.

curl http://localhost:8888/Test_Cluster/nodes/192.168.1.1/devices
{
  "commitlog": "sdb",
  "data": ["sda"],
  "saved_caches": "sda",
  "other": ["sdc"]
}

In this case, any of sda, sdb, or sdc may be used.

Finally, metrics are also captured for disk partitions and filesystems:

curl http://localhost:8888/Test_Cluster/nodes/192.168.1.1/partitions
{
  "commitlog": "/dev/sdb1",
  "data": ["/dev/sda1"],
  "saved_caches": "/dev/sda1",
  "other": ["/dev/sdc1"]
}

Here, the available partitions are /dev/sda1, /dev/sdb1, and /dev/sdc1. Keep in mind that you will need to URL-encode the items, so /dev/sda1 will become %2Fdev%2Fsda1.

Using a partition, network interface, or other device name for the device argument returns disk or network metric data about a specific device across multiple nodes. Using all for the device name returns a dictionary of keys (device names) and the values (results for that device).

Example

Get the average GB of space on all disks in all data centers used each day by the cluster from April 11, 2012 00:00:00 to April 26, 2012 00:00:00 GMT.

curl -G
  http://127.0.0.1:8888/Test_Cluster/cluster-metrics/all/os-disk-used/all
    -d 'step=1440'
    -d 'start=1334102400'
    -d 'end=1335398400'
    -d 'function=average'

Output:

{
  "Total": {
    "AVERAGE": [
      [
        1334102400,
        null
      ],
      [
        1334188800,
        21.000694274902344
      ],
      [
        1334275200,
        8.736943244934082
      ],
      [
        1334361600,
        9.0
      ],
      [
        1334448000,
        19.0
      ],
      [
        1334534400,
        19.0
      ],
      [
        1334620800,
        19.0
      ],
      [
        1334707200,
        19.0
      ],
      [
        1334793600,
        18.629029273986816
      ],
      [
        1334880000,
        19.923184394836426
      ],
      [
        1334966400,
        25.0
      ],
      [
        1335052800,
        25.0
      ],
      [
        1335139200,
        25.923053741455078
      ],
      [
        1335225600,
        26.0
      ],
      [
        1335312000,
        26.549484252929688
      ]
    ]
  }
}
GET /{cluster_id}/cluster-metrics/{dc}/{ks_name}/{cf_name}/{metric}

Aggregate a column family metric across multiple nodes in the cluster rather than retrieving data about a single node.

Path arguments:
  • cluster_id – A Cluster Config ID.
  • dc – The name of the data center for the nodes. Use the name all to aggregate a metric across all data centers.
  • ks_name – The keyspace that contains the column family to be measured.
  • cf_name – The column family to be measured.
  • metric – One of the Column Family Metrics Keys.
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Returns metric data for multiple nodes.

Example

Get the maximum bytes of disk space used for live data by the Users column family in the Keyspace1 keyspace of the cluster over all data centers from May 1, 2012 00:00:00 to May 5, 2012 00:00:00 GMT:

curl -G
  http://127.0.0.1:8888/Test_Cluster/cluster-metrics/all/Keyspace1/Users/cf-live-disk-used
  -d 'function=max'
  -d 'start=1335830400'
  -d 'end=1336176000'
  -d 'step=1440'

Output:

Data points at 24-hour intervals show the metrics for the period.

{

  "Total": {
    "MAX": [
      [
        1335830400,
        9740462592.0
      ],
      [
        1335916800,
        9932527616.0
      ],
      [
        1336003200,
        null
      ],
      [
        1336089600,
        10644448512.0
      ]
    ]
  }
}
GET /{cluster_id}/metrics/{node_ip}/{metric}

Retrieve metric data for a single node.

Path arguments:
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Returns metric data for a single node.

Example

Get the daily average data load on cluster node 10.11.12.150 from April 20, 2012 00:00:00 to April 26, 2012 00:00:00 GMT:

curl -G
http://127.0.0.1:8888/Test_Cluster/metrics/10.11.12.150/data-load
  -d 'step=1440'
  -d 'start=1334880000'
  -d 'end=1335398400'
  -d 'function=average'

Output:

{
  "10.11.12.150": {
    "AVERAGE": [
      [
        1334880000,
        null
      ],
      [
        1334966400,
        6353770496.0
      ],
      [
        1335052800,
        6560092672.0
      ],
      [
        1335139200,
        6019291136.0
      ],
      [
        1335225600,
        6149050880.0
      ],
      [
        1335312000,
        6271239680.0
      ]
    ]
  }
}
GET /{cluster_id}/metrics/{node_ip}/{metric}/{device}

Aggregate a disk or network metric for a single node.

Path arguments:
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Returns disk or network metrics data for a single node.

Example

Get the maximum GB of disk space for all disks used by cluster node 10.11.12.150 from April 30, 2012 at 22:05 to May 1, 2012 8:00:00 GMT:

curl -G
http://127.0.0.1:8888/Test_Cluster/metrics/10.11.12.150/os-disk-used/all
  -d 'start=1335823500'
  -d 'end=1335859200'
  -d 'step=120'
  -d 'function=max'

Output:

Data points at 2-minute intervals show the disk space used by device /dev/sda1.

{
  "/dev/sda1": {
    "MAX": [
      [
        1335823200,
        null
      ],
      [
        1335830400,
        17.0
      ],
      [
        1335837600,
        16.0
      ],
      [
        1335844800,
        17.0
      ],
      [
        1335852000,
        16.0
      ]
    ]
  }
}
GET /{cluster_id}/metrics/{node_ip}/{ks_name}/{cf_name}/{metric}

Retrieve metric data about a column family on a single node.

Path arguments:
  • cluster_id – A Cluster Config ID.
  • node_ip – IP address of the target Node.
  • ks_name – The keyspace that contains the column family to be measured.
  • cf_name – The column family to be measured.
  • metric – One of the Column Family Metrics Keys.
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Example

Get the daily, maximum response time (in microseconds) to write requests on the Users column family in the Keyspace1 keyspace by cluster node 10.11.12.150 from May 1, 2012 at 00:00:00 to May 5, 2012 00:00:00 GMT.

curl -G
http://127.0.0.1:8888/Test_Cluster/metrics/10.11.12.150/Keyspace1/Users/cf-write-latency-op
  -d 'function=max'
  -d 'start=1335830400'
  -d 'end=1336176000'
  -d 'step=1440'

Output:

{
  "OpsCenter.rollups60": {
    "MAX": [
      [
        1335830400,
        102.28681945800781
      ],
      [
        1335916800,
        124.86614227294922
      ],
      [
        1336003200,
        null
      ],
      [
        1336089600,
        127.14733123779297
      ]
    ]
  }
}
GET /{cluster_id}/cluster-metrics/{dc}/{metric}

Generate a forecast for a metric aggregated across the cluster

Path arguments:
  • cluster_id – A Cluster Config ID.
  • dc – The name of the data center for the nodes. Use the name all to aggregate a metric across all data centers.
  • metric – One of the Cluster Metrics Keys.
Query params:

parameters – The parameters listed in Controlling the Metric Data Output.

Example

Forecast the average write requests per second over for the cluster over all data centers starting from the current time to 4 weeks in the future. Show data points at 1 day (1440-minute) intervals.

curl -G
  http://127.0.0.1:8888/Test_Cluster/cluster-metrics/all/write-ops
    -d "step=1440"
    -d "start=`date +'%s'`"
    -d "end=`date -v+4w +'%s'`"
    -d "forecast=1"

Output:

Data points at 1 day (86400 seconds) intervals show the forecasted number of write requests per day for the next 4 weeks. The results will include the data used to generate the forecast. In this example the forecast is based on 12 weeks of data, so the results begin 12 weeks in the past.

{
    "Total": {
        "AVERAGE": [
            [
                1376006400,
                172.18471918718131
            ],
            [
                1376092800,
                182.06741811718813
            ],
            [
                1376179200,
                159.14967219176917
            ],
            ...
            [
                1385769600,
                202.93040370941162
            ],
            [
                1385856000,
                202.78100836277008
            ],
            [
                1385942400,
                202.59301888942719
            ]
        ]
}
GET /{cluster_id}/new-metrics

Retrieve metric data for a single node.

Path arguments:

cluster_id – A Cluster Config ID.

Query params:
  • nodes – A comma separated list of nodes to fetch data for. Either this or node_group must be specified.
  • node_group – A convenient way of specifying a group of nodes to retrieve data for. Can be ‘all’ for all nodes, or the name of a datacenter for the nodes in that datacenter. Either this or nodes must be specified.
  • metrics – A comma separated list of the Metrics Attribute Key Lists to fetch data for. When fetching multiple metrics, all metrics will be fetched using the same nodes, start, end, etc parameters.
  • columnfamilies – A comma separated list of ‘<keyspace>.columnfamily’ strings indicating the column families to fetch the given metrics for. Required when fetching metrics that are specific to a certain column family.
  • devices – A comma separated list of device strings indicating the devices to fetch the given metrics for. Required when fetching metrics that are specific to a certain disk or network device.
  • node_aggregation – Indicates whether or not to aggregate the results across nodes. A ‘0’ value indicates false and a ‘1’ value indicates true.
  • parameters (additional) – The parameters listed in Controlling the Metric Data Output.

Returns metric data.

Examples

Get the daily average data load on cluster nodes 10.11.12.150, 10.11.12.151 from April 20, 2012 00:00:00 to April 26, 2012 00:00:00 GMT:

curl -G
http://127.0.0.1:8888/Test_Cluster/new-metrics
  -d 'metrics=data-load'
  -d 'nodes=10.11.12.150,10.11.12.151'
  -d 'step=86400'
  -d 'start=1334880000'
  -d 'end=1335398400'

Output:

{
  "metrics": ["data-load"],
  "bounds": {"start": 1334880000, "end": 1335312000, "step": 86400},
  "aggregation_function": null,
  "nodes": ["10.11.12.150", "10.11.12.151"],
  "data": {
    "10.11.12.150": [
      {"metric": "data-load",
       "data-points":
          [
              [4353770496.0, 4353770496.0, 4353770496.0],
              [6353770496.0, 6353770496.0, 6353770496.0],
              [6560092672.0, 6560092672.0, 6560092672.0],
              [6019291136.0, 6019291136.0, 6019291136.0],
              [6149050880.0, 6149050880.0, 6149050880.0],
              [6271239680.0, 6271239680.0, 6271239680.0]
          ]
      }
    ],
    "10.11.12.151": [
      {"metric": "data-load",
       "data-points":
          [
              [4353770496.0, 4353770496.0, 4353770496.0],
              [6353770496.0, 6353770496.0, 6353770496.0],
              [6560092672.0, 6560092672.0, 6560092672.0],
              [6019291136.0, 6019291136.0, 6019291136.0],
              [6149050880.0, 6149050880.0, 6149050880.0],
              [6271239680.0, 6271239680.0, 6271239680.0]
          ]
      }
    ]
  }
}

Get the cluster average for data load and write ops from April 20, 2012 00:00:00 to April 2, 2012 00:00:00 GMT:

curl -G
http://127.0.0.1:8888/Test_Cluster/new-metrics
  -d 'metrics=data-load,write-latency-op'
  -d 'node_group=all'
  -d 'step=86400'
  -d 'start=1334880000'
  -d 'end=1335398400'
  -d 'node_aggregation=1'

Output:

{
  "metrics": ["data-load", "write-latency-op"],
  "bounds": {"start": 1334880000, "end": 1335312000, "step": 86400},
  "aggregation_function": {
    "data-load": "sum",
    "write-latency-op": "average"
  }
  "nodes": ["10..11.12.150", "10.11.12.151"],
  "data": {
    "aggregate": [
      {"metric": "data-load",
       "data-points":
          [
              [4353770496.0, 4353770496.0, 4353770496.0],
              [6353770496.0, 6353770496.0, 6353770496.0],
              [6560092672.0, 6560092672.0, 6560092672.0],
              [6019291136.0, 6019291136.0, 6019291136.0],
              [6149050880.0, 6149050880.0, 6149050880.0],
              [6271239680.0, 6271239680.0, 6271239680.0]
          ]
      },
      {"metric": "write-latency-op",
       "data-points":
          [
              [4353770496.0, 4353770496.0, 4353770496.0],
              [6353770496.0, 6353770496.0, 6353770496.0],
              [6560092672.0, 6560092672.0, 6560092672.0],
              [6019291136.0, 6019291136.0, 6019291136.0],
              [6149050880.0, 6149050880.0, 6149050880.0],
              [6271239680.0, 6271239680.0, 6271239680.0]
          ]
      },
    ]
  }
}

Get the write-ops for multipe cfs for all nodes from April 20, 2012 00:00:00 to April 2, 2012 00:00:00 GMT:

curl -G
http://127.0.0.1:8888/Test_Cluster/new-metrics
  -d 'metrics=cf-write-ops'
  -d 'node_group=all'
  -d 'columnfamiies=OpsCenter.events,OpsCenter.settings'
  -d 'step=86400'
  -d 'start=1334880000'
  -d 'end=1335398400'

Output:

{
  "metrics": ['cf-write-ops'],
  "bounds": {"start": 1334880000, "end": 1335312000, "step": 86400},
  "aggregation_function": null
  "nodes": ["10.11.12.150", "10.11.12.151"],
  "columnfamilies": ["OpsCenter.events", "OpsCenter.settings"],
  "data": {
    "10.11.12.150": [
      {"metric": "cf-write-ops",
       "columnfamily": "OpsCenter.events",
       "data-points":
          [
              [4353770496.0, 4353770496.0, 4353770496.0],
              [6353770496.0, 6353770496.0, 6353770496.0],
              [6560092672.0, 6560092672.0, 6560092672.0],
              [6019291136.0, 6019291136.0, 6019291136.0],
              [6149050880.0, 6149050880.0, 6149050880.0],
              [6271239680.0, 6271239680.0, 6271239680.0]
          ]
      },
    ],
    "10.11.12.151": [
      {"metric": "cf-write-ops",
       "columnfamily": "OpsCenter.settings",
       "data-points":
          [
              [4353770496.0, 4353770496.0, 4353770496.0],
              [6353770496.0, 6353770496.0, 6353770496.0],
              [6560092672.0, 6560092672.0, 6560092672.0],
              [6019291136.0, 6019291136.0, 6019291136.0],
              [6149050880.0, 6149050880.0, 6149050880.0],
              [6271239680.0, 6271239680.0, 6271239680.0]
          ]
      },
    ]
  }
}

Metrics Attribute Key Lists

This section contains these tables of metric keys to use with resources that retrieve OpsCenter performance data:

Cluster Metrics Keys

This list of keys corresponds to Cassandra metrics collected by OpsCenter:

Key Units Description
data-load bytes Size of the data on the node.
pending-compaction-tasks Number of compaction operations queued and waiting to run.
pending-flush-sorter-tasks Number of pending tasks related to the first step in flushing memtables to disk as SSTables.
pending-flushes Number of memtables queued for the flush process.
pending-gossip-tasks Number of gossip messages and acknowledgments queued and waiting to be sent or received.
pending-hinted-handoff Number of hints in the queue waiting to be delivered after a failed node comes up.
pending-internal-responses Number of pending tasks from internal tasks, such as nodes joining and leaving the cluster.
pending-memtable-post-flushers Number of pending tasks related to the last step in flushing memtables to disk as SSTables.
pending-migrations Number of pending tasks from system methods that modified the schema.
pending-misc-tasks Number of pending tasks from infrequently run operations, not measured by another metric.
pending-read-ops Number of read requests received by the cluster and waiting to be handled.
pending-read-repair-tasks Number of read repair operations in the queue waiting to run.
pending-repair-tasks Manual repair tasks pending, operations to be completed during anti-entropy repair of a node.
pending-repl-on-write-tasks Pending tasks related replication of data after an insert or update to a row.
pending-request-responses Progress of streamed rows from the receiving node.
pending-write-ops Number of write requests received by the cluster and waiting to be handled.
read-latency-op microseconds Average response time to a client read request.
read-ops The number of read requests per second.
write-latency-op microseconds The average response time to a client write request.
write-ops The write requests per second.
key-cache-hits The number of key cache hits per second. (This metric is per-column family before Cassandra 1.1)
key-cache-requests The number of key cache requests per second. (This metric is per-column family before Cassandra 1.1)
key-cache-hit-rate % The percentage of key cache lookups that resulted in a hit. (This metric is per-column family before Cassandra 1.1)
row-cache-hits The number of row cache hits per second. (This metric is per-column family before Cassandra 1.1)
row-cache-requests The number of row cache requests per second. (This metric is per-column family before Cassandra 1.1)
row-cache-hit-rate % The percentage of row cache lookups that resulted in a hit. (This metric is per-column family before Cassandra 1.1)
total-compactions-completed Number of compaction tasks completed.
total-bytes-compacted bytes Number of bytes compacted per second.
cms-collection-count Number of concurrent mark sweep garbage collections performed per second.
cms-collection-time ms/sec Average number of milliseconds spent performing CMS garbage collections per second.
par-new-collection-count Number of ParNew garbage collections performed per second.
par-new-collection-time ms/sec Average number of milliseconds spent performing ParNew garbage collections per second.
heap-committed bytes Allocated memory guaranteed for the Java heap.
heap-max bytes Maximum amount that the Java heap can grow.
heap-used bytes Average amount of Java heap memory used.
nonheap-committed bytes Allocated memory, guaranteed for Java nonheap.
nonheap-max bytes Maximum amount that the Java nonheap can grow.
nonheap-used bytes Average amount of Java nonheap memory used.

Column Family Metrics Keys

This list of keys corresponds to column family-specific metrics collected by OpsCenter:

Key Units Description
cf-keycache-hit-rate % Cache requests that resulted in a key cache hit. (This metric is global in Cassandra 1.1+.)
cf-keycache-hits Number of read requests that resulted in the requested row key being found in the key cache. (This metric is global in Cassandra 1.1+.)
cf-keycache-requests Total number of read requests on the key cache. (This metric is global in Cassandra 1.1+.)
cf-live-disk-used bytes Disk space used by a column family for readable data.
cf-live-sstables Current number of SSTables for a column family.
cf-pending-tasks Number of pending reads and writes on a column family.
cf-read-latency-op microseconds Internal response time to a successful request to read data from a column family.
cf-read-ops Read requests per second on a column family.
cf-rowcache-hit-rate Percentage of cache requests that resulted in a row cache hit. (This metric is global in Cassandra 1.1+.)
cf-rowcache-hits Number of read requests on the row cache. (This metric is global in Cassandra 1.1+.)
cf-rowcache-requests Total number of read requests on the row cache. (This metric is global in Cassandra 1.1+.)
cf-total-disk-used Disk space used by a column family for live or old data (not live).
cf-write-latency-op microseconds Internal response time to a successful request to write data to a column family.
cf-write-ops Write requests per second on a column family.
cf-bf-space-used bytes How large the bloom filter is.
cf-bf-false-positives Number of bloom filter false positives per second.
cf-bf-false-ratio % Percentage of bloom filter lookups that resulted in a false positive.
solr-avg-time-per-req milliseconds Average time a search query takes in a DSE cluster using DSE search.
solr-errors Errors per second that occur for a specific Solr core/index.
solr-requests Requests per second made to a specific Solr core/index.
solr-timeouts Timeouts per second on a specific Solr core/index.

Operating System Metrics Keys

This list of keys corresponds to operating system (OS) metrics collected by OpsCenter:

Key OS Units Description
os-cpu-idle all* % Time the CPU is idle.
os-cpu-iowait Linux % Time the CPU devotes to waiting for I/O to complete.
os-cpu-nice Linux % Time the CPU devotes to processing nice tasks.
os-cpu-privileged Windows % Time the CPU devotes to processing privileged instructions.
os-cpu-steal Linux % Time the CPU devotes to tasks stolen by virtual operating systems.
os-cpu-system Linux, OSX % Time the CPU devotes to system processes.
os-cpu-user all* % Time the CPU devotes to user processes.
os-disk-await Linux, Windows MS Average completion time of each request to the disk.
os-disk-free all* GB Free space on a specific disk partition.
os-disk-queue-size Linux, Windows Average number of requests queued due to disk latency issues.
os-disk-read-rate Linux, Windows Rate of reads per second to the disk.
os-disk-read-throughput Linux, Windows mb/sec Average disk throughput for read operations.
os-disk-request-size Linux sectors Average size of read requests issued to the disk.
os-disk-request-size-kb Windows KB Average size of read requests issued to the disk.
os-disk-throughput OSX mb/sec Average disk throughput for read and write operations.
os-disk-usage all* % Disk space used by Cassandra at a given time.
os-disk-used all* GB Disk space used by Cassandra at a given time.
os-disk-utilization Linux, Windows % CPU time consumed by disk I/O.
os-disk-write-rate Linux, Windows Rate of writes per second to the disk.
os-disk-write-throughput Linux, Windows mb/sec Average disk throughput for write operations.
os-load all* Operating system load average
os-memory-avail Windows MB Available physical memory.
os-memory-buffers Linux MB Total system memory currently buffered.
os-memory-cached Linux MB Total system memory currently cached.
os-memory-committed Windows MB Memory in use by the operating system.
os-memory-free Linux, OSX MB Total system memory currently free.
os-memory-pool-nonpaged Windows MB Allocated pool-nonpaged memory.
os-memory-pool-paged Windows MB Allocated pool-paged-resident memory.
os-memory-sys-cache-resident Windows MB Memory used by the file cache.
os-memory-used Linux, OSX MB Total system memory currently used.
os-net-received all* kb/sec Speed of data received from the network.
os-net-sent all* kb/sec Speed of data sent across the network.
  • all means Linux, OSX, and Windows operating systems.