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Get insights into Google Dataproc service metrics collected from the Google Operations API to ensure health of your cloud infrastructure.
ExtensionThis Dynatrace extension leverages data collected from the Google Operations API to constantly monitor health and performance of Google Dataproc services. This extension combines all relevant data into pre-configured dashboards and provides alerting and event tracking.
View and analyze 21 metrics that are specific to Google Dataproc, like HDFS DataNodes, HDFS capacity, HDFS storage utilization, and more.
Build custom dashboards for your cloud infrastructure.
Analyze Google Dataproc logs.
Set custom alerts that trigger remediation workflows.
Google Dataproc metric and log ingestion requires advanced GCP integration.
This extension package contains:
To provide correlation and causation analysis all ingested metrics and logs are analyzed by the Dynatrace Davis AI engine, which consumes DDUs.
Below is a complete list of the feature sets provided in this version. To ensure a good fit for your needs, individual feature sets can be activated and deactivated by your administrator during configuration.
Metric name | Metric key | Description | Unit |
---|---|---|---|
Cluster capacity deviation | cloud.gcp.dataproc_googleapis_com.cluster.capacity_deviation | - | Count |
HDFS DataNodes | cloud.gcp.dataproc_googleapis_com.cluster.hdfs.datanodes | - | Count |
HDFS capacity | cloud.gcp.dataproc_googleapis_com.cluster.hdfs.storage_capacity | - | GibiByte |
HDFS storage utilization | cloud.gcp.dataproc_googleapis_com.cluster.hdfs.storage_utilization | - | Count |
Unhealthy HDFS blocks by status | cloud.gcp.dataproc_googleapis_com.cluster.hdfs.unhealthy_blocks | - | Count |
Job duration | cloud.gcp.dataproc_googleapis_com.cluster.job.completion_time | - | Second |
Job state duration | cloud.gcp.dataproc_googleapis_com.cluster.job.duration | - | Second |
Failed jobs | cloud.gcp.dataproc_googleapis_com.cluster.job.failed_count | - | Count |
Running jobs | cloud.gcp.dataproc_googleapis_com.cluster.job.running_count.gauge | - | Count |
Submitted jobs | cloud.gcp.dataproc_googleapis_com.cluster.job.submitted_count | - | Count |
Expected Nodes | cloud.gcp.dataproc_googleapis_com.cluster.nodes.expected | - | Count |
Failed Nodes | cloud.gcp.dataproc_googleapis_com.cluster.nodes.failed_count | - | Count |
Recovered Nodes | cloud.gcp.dataproc_googleapis_com.cluster.nodes.recovered_count | - | Count |
Running Nodes | cloud.gcp.dataproc_googleapis_com.cluster.nodes.running | - | Count |
Operation duration | cloud.gcp.dataproc_googleapis_com.cluster.operation.completion_time | - | Second |
Operation state duration | cloud.gcp.dataproc_googleapis_com.cluster.operation.duration | - | Second |
Failed operations | cloud.gcp.dataproc_googleapis_com.cluster.operation.failed_count | - | Count |
Running operations | cloud.gcp.dataproc_googleapis_com.cluster.operation.running_count.gauge | - | Count |
Submitted operations | cloud.gcp.dataproc_googleapis_com.cluster.operation.submitted_count | - | Count |
YARN allocated memory percentage | cloud.gcp.dataproc_googleapis_com.cluster.yarn.allocated_memory_percentage | - | Count |
YARN active applications | cloud.gcp.dataproc_googleapis_com.cluster.yarn.apps | - | Count |
YARN containers | cloud.gcp.dataproc_googleapis_com.cluster.yarn.containers | - | Count |
YARN memory size | cloud.gcp.dataproc_googleapis_com.cluster.yarn.memory_size | - | GibiByte |
YARN NodeManagers | cloud.gcp.dataproc_googleapis_com.cluster.yarn.nodemanagers | - | Count |
YARN pending memory size | cloud.gcp.dataproc_googleapis_com.cluster.yarn.pending_memory_size | - | GibiByte |
YARN virtual cores | cloud.gcp.dataproc_googleapis_com.cluster.yarn.virtual_cores | - | Count |
No release notes
No release notes