Datadog-AWS Elastic Map Reduce Integration

Overview

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data.

Enable this integration to see in Datadog all your EMR metrics.

Setup

Installation

If you haven’t already, set up the Amazon Web Services integration first. There are no other installation steps that need to be performed.

Configuration

In the Amazon Web Services integration tile, ensure that EMR is checked under metric collection.

Data Collected

Metrics

aws.elasticmapreduce.apps_completed
(gauge)
The number of applications submitted to YARN that have completed.
shown as
aws.elasticmapreduce.apps_failed
(gauge)
The number of applications submitted to YARN that have failed to complete.
shown as
aws.elasticmapreduce.apps_killed
(gauge)
The number of applications submitted to YARN that have been killed.
shown as
aws.elasticmapreduce.apps_pending
(gauge)
The number of applications submitted to YARN that are in a pending state.
shown as
aws.elasticmapreduce.apps_running
(gauge)
The number of applications submitted to YARN that are running.
shown as
aws.elasticmapreduce.apps_submitted
(gauge)
The number of applications submitted to YARN.
shown as
aws.elasticmapreduce.capacity_remaining_gb
(gauge)
The amount of remaining HDFS disk capacity.
shown as byte
aws.elasticmapreduce.container_allocated
(gauge)
The number of resource containers allocated by the ResourceManager.
shown as
aws.elasticmapreduce.container_pending
(gauge)
The number of containers in the queue that have not yet been allocated.
shown as
aws.elasticmapreduce.container_pending_ratio
(gauge)
The percentage of containers in the queue that have not yet been allocated.
shown as percent
aws.elasticmapreduce.container_reserved
(gauge)
The number of containers reserved.
shown as
aws.elasticmapreduce.core_nodes_pending
(gauge)
The number of core nodes waiting to be assigned. All of the core nodes requested may not be immediately available; this metric reports the pending requests. Data points for this metric are reported only when a corresponding instance group exists.
shown as node
aws.elasticmapreduce.core_nodes_running
(gauge)
The number of core nodes working. Data points for this metric are reported only when a corresponding instance group exists.
shown as node
aws.elasticmapreduce.corrupt_blocks
(gauge)
The number of blocks that HDFS reports as corrupted.
shown as block
aws.elasticmapreduce.dfs_fsnamesystem_pending_replication_blocks
(gauge)
The status of block replication: blocks being replicated, age of replication requests, and unsuccessful replication requests.
shown as
aws.elasticmapreduce.hbase_backup_failed
(gauge)
Whether the last backup failed. This is set to 0 by default and updated to 1 if the previous backup attempt failed. This metric is only reported for HBase clusters.
shown as
aws.elasticmapreduce.hbase_most_recent_backup_duration
(gauge)
The amount of time it took the previous backup to complete. This metric is set regardless of whether the last completed backup succeeded or failed. While the backup is ongoing, this metric returns the number of minutes after the backup started. This metric is only reported for HBase clusters.
shown as minute
aws.elasticmapreduce.hbase_time_since_last_successful_backup
(gauge)
The number of elapsed minutes after the last successful HBase backup started on your cluster. This metric is only reported for HBase clusters.
shown as minute
aws.elasticmapreduce.hdfsbytes_read
(gauge)
The number of bytes read from HDFS.
shown as byte
aws.elasticmapreduce.hdfsbytes_written
(gauge)
The number of bytes written to HDFS.
shown as byte
aws.elasticmapreduce.hdfsutilization
(gauge)
The percentage of HDFS storage currently used.
shown as percent
aws.elasticmapreduce.is_idle
(gauge)
Indicates that a cluster is no longer performing work, but is still alive and accruing charges. It is set to 1 if no tasks are running and no jobs are running, and set to 0 otherwise. This value is checked at five-minute intervals and a value of 1 indicates only that the cluster was idle when checked, not that it was idle for the entire five minutes.
shown as
aws.elasticmapreduce.jobs_failed
(gauge)
The number of jobs in the cluster that have failed.
shown as
aws.elasticmapreduce.jobs_running
(gauge)
The number of jobs in the cluster that are currently running.
shown as
aws.elasticmapreduce.live_data_nodes
(gauge)
The percentage of data nodes that are receiving work from Hadoop.
shown as percent
aws.elasticmapreduce.live_task_trackers
(gauge)
The percentage of task trackers that are functional.
shown as percent
aws.elasticmapreduce.map_slots_open
(gauge)
The unused map task capacity. This is calculated as the maximum number of map tasks for a given cluster, less the total number of map tasks currently running in that cluster.
shown as
aws.elasticmapreduce.memory_allocated_mb
(gauge)
The amount of memory allocated to the cluster.
shown as byte
aws.elasticmapreduce.memory_available_mb
(gauge)
The amount of memory available to be allocated.
shown as byte
aws.elasticmapreduce.memory_reserved_mb
(gauge)
The amount of memory reserved.
shown as byte
aws.elasticmapreduce.memory_total_mb
(gauge)
The total amount of memory in the cluster.
shown as byte
aws.elasticmapreduce.missing_blocks
(gauge)
The number of blocks in which HDFS has no replicas. These might be corrupt blocks.
shown as block
aws.elasticmapreduce.mractive_nodes
(gauge)
The number of nodes presently running MapReduce tasks or jobs.
shown as node
aws.elasticmapreduce.mrdecommissioned_nodes
(gauge)
The number of nodes allocated to MapReduce applications that have been marked in a DECOMMISSIONED state.
shown as
aws.elasticmapreduce.mrlost_nodes
(gauge)
The number of nodes allocated to MapReduce that have been marked in a LOST state.
shown as node
aws.elasticmapreduce.mrrebooted_nodes
(gauge)
The number of nodes available to MapReduce that have been rebooted and marked in a REBOOTED state.
shown as node
aws.elasticmapreduce.mrtotal_nodes
(gauge)
The number of nodes presently available to MapReduce jobs.
shown as node
aws.elasticmapreduce.mrunhealthy_nodes
(gauge)
The number of nodes available to MapReduce jobs marked in an UNHEALTHY state.
shown as node
aws.elasticmapreduce.no_of_black_listed_task_trackers
(gauge)
The number of blackisted TaskTracker nodes.
shown as node
aws.elasticmapreduce.no_of_gray_listed_task_trackers
(gauge)
The number of graylisted TaskTracker nodes.
shown as node
aws.elasticmapreduce.pending_deletion_blocks
(gauge)
The number of blocks marked for deletion.
shown as block
aws.elasticmapreduce.reduce_slots_open
(gauge)
Unused reduce task capacity. This is calculated as the maximum reduce task capacity for a given cluster, less the number of reduce tasks currently running in that cluster.
shown as
aws.elasticmapreduce.remaining_map_tasks
(gauge)
The number of remaining map tasks for each job. If you have a scheduler installed and multiple jobs running, multiple graphs are generated. A remaining map task is one that is not in any of the following states: Running, Killed, or Completed.
shown as task
aws.elasticmapreduce.remaining_map_tasks_per_slot
(gauge)
The ratio of the total map tasks remaining to the total map slots available in the cluster.
shown as
aws.elasticmapreduce.remaining_reduce_tasks
(gauge)
The number of remaining reduce tasks for each job. If you have a scheduler installed and multiple jobs running, multiple graphs are generated.
shown as task
aws.elasticmapreduce.running_map_tasks
(gauge)
The number of running map tasks for each job. If you have a scheduler installed and multiple jobs running, multiple graphs are generated.
shown as task
aws.elasticmapreduce.running_reduce_tasks
(gauge)
The number of running reduce tasks for each job. If you have a scheduler installed and multiple jobs running, multiple graphs are generated.
shown as task
aws.elasticmapreduce.s_3bytes_read
(gauge)
The number of bytes read from Amazon S3.
shown as byte
aws.elasticmapreduce.s_3bytes_written
(gauge)
The number of bytes written to Amazon S3.
shown as byte
aws.elasticmapreduce.task_nodes_pending
(gauge)
The number of task nodes waiting to be assigned. All of the task nodes requested may not be immediately available; this metric reports the pending requests. Data points for this metric are reported only when a corresponding instance group exists.
shown as node
aws.elasticmapreduce.task_nodes_running
(gauge)
The number of task nodes working. Data points for this metric are reported only when a corresponding instance group exists.
shown as node
aws.elasticmapreduce.total_load
(gauge)
The total number of concurrent data transfers.
shown as
aws.elasticmapreduce.total_map_tasks
(gauge)
The total number of map tasks.
shown as task
aws.elasticmapreduce.total_reduce_tasks
(gauge)
The total number of reduce tasks.
shown as task
aws.elasticmapreduce.under_replicated_blocks
(gauge)
The number of blocks that need to be replicated one or more times.
shown as block

Each of the metrics retrieved from AWS will be assigned the same tags that appear in the AWS console, including but not limited to host name, security-groups, and more.