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Google Cloud SQL

Google Cloud SQL

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

Extension
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  • Product information
  • Release notes

Overview

This Dynatrace extension leverages data collected from the Google Operations API to constantly monitor health and performance of Google Cloud SQL 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 40 metrics that are specific to Google Cloud SQL, like Auto-failover Requests, Available for failover, CPU reserved cores, and more.

  • Use dashboard presets for immediate visibility into availability, usage, and performance of your Google Cloud SQL services.

  • Build custom dashboards for your cloud infrastructure.

  • Analyze Google Cloud SQL logs.

  • Use preconfigured alerting.

  • Set custom alerts that trigger remediation workflows.

Google Cloud SQL 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 1.256+

Details

This extension package contains:

  • Configuration for Google Cloud SQL metric ingest based on your selected feature set (see the full list of feature sets and metrics)
  • Google Cloud SQL preconfigured dashboard
  • Topology mapping and service instance analysis view
  • Google Cloud SQL predefined alerts for: Cloud SQL Database CPU utilization [GCP]

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 “Download” button below.)
  • Ensure that you have GCP integration running in your environment and that Google Cloud SQL service is configured.

Following GCP integration and Google Cloud SQL configuration:

  • The first data points will be ingested by Dynatrace Davis within ~5 minutes.
  • Work with the Google Cloud SQL preconfigured dashboard to understand its capabilities.
  • Explore Google Cloud SQL metrics in Data Explorer and create custom charts.
  • Activate predefined alerting or set custom events for alerting
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Extension content

Content typeNumber of items included
screen injections
1
generic relationship
1
alerts
1
screen actions
1
dashboards
1
screen layout
1
list screen layout
1
generic type
2
screen entities lists
2
metric metadata
59

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
Auto-failover Requestscloud.gcp.cloudsql_googleapis_com.database.auto_failover_request_count-Count
Available for failovercloud.gcp.cloudsql_googleapis_com.database.available_for_failover-Count
CPU reserved corescloud.gcp.cloudsql_googleapis_com.database.cpu.reserved_cores-Count
CPU usagecloud.gcp.cloudsql_googleapis_com.database.cpu.usage_time.count-Second
CPU utilizationcloud.gcp.cloudsql_googleapis_com.database.cpu.utilization-Percent
Bytes usedcloud.gcp.cloudsql_googleapis_com.database.disk.bytes_used-Byte
Disk quotacloud.gcp.cloudsql_googleapis_com.database.disk.quota-Byte
Disk read IOcloud.gcp.cloudsql_googleapis_com.database.disk.read_ops_count-Count
Disk utilizationcloud.gcp.cloudsql_googleapis_com.database.disk.utilization-Count
Disk write IOcloud.gcp.cloudsql_googleapis_com.database.disk.write_ops_count-Count
Instance statecloud.gcp.cloudsql_googleapis_com.database.instance_state-Unspecified
Memory quotacloud.gcp.cloudsql_googleapis_com.database.memory.quota-Byte
Total memory usagecloud.gcp.cloudsql_googleapis_com.database.memory.total_usage-Byte
Memory usagecloud.gcp.cloudsql_googleapis_com.database.memory.usage-Byte
Memory utilizationcloud.gcp.cloudsql_googleapis_com.database.memory.utilization-Count
InnoDB dirty pagescloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_buffer_pool_pages_dirty-Count
InnoDB free pagescloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_buffer_pool_pages_free-Count
InnoDB total pagescloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_buffer_pool_pages_total-Count
InnoDB fsync callscloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_data_fsyncs.count-Count
InnoDB log fsync callscloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_os_log_fsyncs.count-Count
InnoDB pages readcloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_pages_read.count-Count
InnoDB pages writtencloud.gcp.cloudsql_googleapis_com.database.mysql.innodb_pages_written.count-Count
Queriescloud.gcp.cloudsql_googleapis_com.database.mysql.queries.count-Count
Questionscloud.gcp.cloudsql_googleapis_com.database.mysql.questions.count-Count
Network bytes received by MySQLcloud.gcp.cloudsql_googleapis_com.database.mysql.received_bytes_count-Byte
Available for failover (Deprecated)cloud.gcp.cloudsql_googleapis_com.database.mysql.replication.available_for_failover-Count
Last I/O thread error number.cloud.gcp.cloudsql_googleapis_com.database.mysql.replication.last_io_errno-Count
Last SQL thread error number.cloud.gcp.cloudsql_googleapis_com.database.mysql.replication.last_sql_errno-Count
Replica lagcloud.gcp.cloudsql_googleapis_com.database.mysql.replication.seconds_behind_master-Second
Slave I/O thread running statecloud.gcp.cloudsql_googleapis_com.database.mysql.replication.slave_io_running_state-Unspecified
Slave SQL thread running statecloud.gcp.cloudsql_googleapis_com.database.mysql.replication.slave_sql_running_state-Unspecified
Network bytes sent by MySQLcloud.gcp.cloudsql_googleapis_com.database.mysql.sent_bytes_count-Byte
Cloud SQL Connectionscloud.gcp.cloudsql_googleapis_com.database.network.connections-Count
Received bytescloud.gcp.cloudsql_googleapis_com.database.network.received_bytes_count-Byte
Sent bytescloud.gcp.cloudsql_googleapis_com.database.network.sent_bytes_count-Byte
PostgreSQL Connectionscloud.gcp.cloudsql_googleapis_com.database.postgresql.num_backends-Count
Lag bytescloud.gcp.cloudsql_googleapis_com.database.postgresql.replication.replica_byte_lag-Byte
Number of transactionscloud.gcp.cloudsql_googleapis_com.database.postgresql.transaction_count-Count
Replication lagcloud.gcp.cloudsql_googleapis_com.database.replication.replica_lag-Second
Server upcloud.gcp.cloudsql_googleapis_com.database.up-Count
Uptimecloud.gcp.cloudsql_googleapis_com.database.uptime.count-Second
Metric nameMetric keyDescriptionUnit
Execution timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.aggregate.execution_time.count-MicroSecond
IO timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.aggregate.io_time.count-MicroSecond
Latencycloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.aggregate.latencies-MicroSecond
Aggregated lock timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.aggregate.lock_time.count-MicroSecond
Affected rowscloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.aggregate.row_count-Count
Shared blocks cache accesscloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.aggregate.shared_blk_access_count-Count
Per query execution timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.perquery.execution_time.count-MicroSecond
Per query IO timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.perquery.io_time.count-MicroSecond
Per query latencycloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.perquery.latencies-MicroSecond
Per query lock timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.perquery.lock_time.count-MicroSecond
Per query affected rowscloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.perquery.row_count-Count
Per query shared blocks cache accesscloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.perquery.shared_blk_access_count-Count
Per tag execution timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.pertag.execution_time.count-MicroSecond
Per tag IO timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.pertag.io_time.count-MicroSecond
Per tag latencycloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.pertag.latencies-MicroSecond
Per tag lock timecloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.pertag.lock_time.count-MicroSecond
Per tag affected rowscloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.pertag.row_count-Count
Per tag shared blocks cache accessedcloud.gcp.cloudsql_googleapis_com.database.postgresql.insights.pertag.shared_blk_access_count-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 1.1.2

Updated

  • Feature sets & metrics section in HUB Product Information page

Full version history

Version 1.1.1

Fixed

  • GCP project details page doesn't crash anymore when cloud:gcp:cloudsql_database type is not declared in environment

Full version history

Version 1.1.0

Added

  • Metrics now support management-zone filtering (main entity type specified for metrics)

Full version history

Version 1.0.6

Added

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

Full version history

Support for GCP overview

Full version history

Now you can enable monitoring of Query insights for PostgreSQL databases. Set of 18 metrics is bundled in a new featureset (postgresinsights).

Full version history

No release notes

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