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Google Dataflow

Google Dataflow

Get insights into Google Dataflow service metrics collected from the Google Operations API to ensure health of your cloud infrastructure.

Extension
Free trialDocumentation
  • Product information
  • Release notes

Overview

This Dynatrace extension leverages data collected from the Google Operations API to constantly monitor health and performance of Google Dataflow services. This extension combines all relevant data into pre-configured dashboards and provides alerting and event tracking.

This is intended for users, who want to:

  • enrich their monitoring data with metrics and logs from Google Operations API

This enables you to:

  • View and analyze 23 metrics that are specific to Google Dataflow, like Billable shuffle data processed, Current number of vCPUs in use, Current shuffle slots in use, and more.

  • Build custom dashboards for your cloud infrastructure.

  • Analyze Google Dataflow logs.

  • Set custom alerts that trigger remediation workflows.

Google Dataflow metric and log ingestion requires advanced GCP integration.

Compatibility requirements

  • Dynatrace GCP integration version 1.0.0+. To enable metric and log ingestion, see Dynatrace Documentation.
  • Dynatrace version 1.230+

Details

Details

This extension package contains:

  • Configuration for Google Dataflow metric ingest based on your selected feature set (see full list of feature sets and metrics)

To provide correlation and causation analysis all ingested metrics and logs are analyzed by the Dynatrace Davis AI engine, which consumes DDUs.

Get started

To add this extension to your environment:

  • Follow the instructions detailed in Dynatrace Documentation. (Ignore the “Add to environment” button below.)
  • Ensure that you have GCP integration running in your environment and that Google Dataflow service is configured.

Following GCP integration and Google Dataflow configuration:

  • The first data points will be ingested by Dynatrace Davis within ~5 minutes.
  • Explore Google Dataflow metrics in Data Explorer and create custom charts.
  • Set custom events for alerting
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Extension content

Content typeNumber of items included
metric metadata
44
generic type
1

Feature sets

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.

Feature setsNumber of metrics included
Metric nameMetric keyDescriptionUnit
Per-stage backlog in bytescloud.gcp.dataflow_googleapis_com.job.backlog_bytes-Byte
Per-stage backlog in elementscloud.gcp.dataflow_googleapis_com.job.backlog_elements-Count
BigQueryIO.Write Requestscloud.gcp.dataflow_googleapis_com.job.bigquery.write_count-Count
Billable shuffle data processedcloud.gcp.dataflow_googleapis_com.job.billable_shuffle_data_processed-Byte
Bundle user processing latenciescloud.gcp.dataflow_googleapis_com.job.bundle_user_processing_latencies-MilliSecond
Current number of vCPUs in usecloud.gcp.dataflow_googleapis_com.job.current_num_vcpus-Count
Current shuffle slots in usecloud.gcp.dataflow_googleapis_com.job.current_shuffle_slots-Count
Data watermark lagcloud.gcp.dataflow_googleapis_com.job.data_watermark_age-Second
Disk Space Capacitycloud.gcp.dataflow_googleapis_com.job.disk_space_capacity-Byte
Duplicate message count per stagecloud.gcp.dataflow_googleapis_com.job.duplicates_filtered_out_count-Count
Elapsed timecloud.gcp.dataflow_googleapis_com.job.elapsed_time-Second
Element countcloud.gcp.dataflow_googleapis_com.job.element_count.gauge-Count
Elements Producedcloud.gcp.dataflow_googleapis_com.job.elements_produced_count-Count
Estimated byte countcloud.gcp.dataflow_googleapis_com.job.estimated_byte_count.gauge-Byte
Estimated Bytes Producedcloud.gcp.dataflow_googleapis_com.job.estimated_bytes_produced_count-Count
Failedcloud.gcp.dataflow_googleapis_com.job.is_failed-Count
Memory Capacitycloud.gcp.dataflow_googleapis_com.job.memory_capacity-Byte
Per-stage data watermark lagcloud.gcp.dataflow_googleapis_com.job.per_stage_data_watermark_age-Second
Per-stage system lagcloud.gcp.dataflow_googleapis_com.job.per_stage_system_lag-Second
The approximate number of parallel processing keyscloud.gcp.dataflow_googleapis_com.job.processing_parallelism_keys-Count
Pub/Sub Late Messages Countcloud.gcp.dataflow_googleapis_com.job.pubsub.late_messages_count-Count
Pub/Sub Published Messages Countcloud.gcp.dataflow_googleapis_com.job.pubsub.published_messages_count-Count
Pub/Sub Pulled Message Agescloud.gcp.dataflow_googleapis_com.job.pubsub.pulled_message_ages-MilliSecond
PubsubIO.Read requests from Dataflow jobscloud.gcp.dataflow_googleapis_com.job.pubsub.read_count-Count
Pub/Sub Pull Request Latenciescloud.gcp.dataflow_googleapis_com.job.pubsub.read_latencies-MilliSecond
Percentage of active/terminated Streaming Pull connectionscloud.gcp.dataflow_googleapis_com.job.pubsub.streaming_pull_connection_status-Percent
Pub/Sub Publish Requestscloud.gcp.dataflow_googleapis_com.job.pubsub.write_count-Count
Pub/Sub Publish Request Latenciescloud.gcp.dataflow_googleapis_com.job.pubsub.write_latencies-MilliSecond
Statuscloud.gcp.dataflow_googleapis_com.job.status-Unspecified
Storage bytes readcloud.gcp.dataflow_googleapis_com.job.streaming_engine.persistent_state.read_bytes_count-Count
Storage bytes writtencloud.gcp.dataflow_googleapis_com.job.streaming_engine.persistent_state.write_bytes_count-Count
Storage write latenciescloud.gcp.dataflow_googleapis_com.job.streaming_engine.persistent_state.write_latencies-MilliSecond
Per stage end to end latencies.cloud.gcp.dataflow_googleapis_com.job.streaming_engine.stage_end_to_end_latencies-MilliSecond
System lagcloud.gcp.dataflow_googleapis_com.job.system_lag-Second
Thread Timecloud.gcp.dataflow_googleapis_com.job.thread_time-MilliSecond
Timers pending count per stagecloud.gcp.dataflow_googleapis_com.job.timers_pending_count-Count
Timers processed count per stagecloud.gcp.dataflow_googleapis_com.job.timers_processed_count-Count
Total memory usage timecloud.gcp.dataflow_googleapis_com.job.total_memory_usage_time-GigaByte
Total PD usage timecloud.gcp.dataflow_googleapis_com.job.total_pd_usage_time-GigaByte
Total SECU usagecloud.gcp.dataflow_googleapis_com.job.total_secu_usage-Unspecified
Total shuffle data processedcloud.gcp.dataflow_googleapis_com.job.total_shuffle_data_processed-Byte
Total streaming data processedcloud.gcp.dataflow_googleapis_com.job.total_streaming_data_processed-Byte
Total vCPU timecloud.gcp.dataflow_googleapis_com.job.total_vcpu_time-Second
User Countercloud.gcp.dataflow_googleapis_com.job.user_counter-Count

Full version history

To have more information on how to install the downloaded package, please follow the instructions on this page.
ReleaseDate

Full version history

Version 1.0.5

Updated

  • Updated set of supported metrics

Full version history

Version 1.0.4

Updated

  • Feature sets & metrics section in HUB Product Information page

Full version history

Version 1.0.3

Added

  • Release notes to published extension
  • Auto publishing extensions to Hub

Full version history

No release notes

Full version history

No release notes

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