Integrated monitoring, logging, and trace managed services for applications and systems running on Google Cloud and beyond.
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Key features
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
Customers
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Documentation
Use cases
Cloud Logging and Cloud Monitoring provide your IT Ops/SRE/DevOps teams with out-of-the box observability needed to monitor your infrastructure and applications. Cloud Logging automatically ingests Google Cloud audit and platform logs so that you can get started right away. Cloud Monitoring provides a view of all Google Cloud metrics at zero cost and integrates with a variety of providers for non Google Cloud monitoring.
Reduce Mean Time to Recover (MTTR) and optimize your application’s performance with the full suite of cloud ops tools. Use dashboards to gain insights into your applications with both service and custom application metrics. Use Monitoring SLOs and alerting to help identify errors.
All features
Log management | Log Router allows customers to control where logs are sent. All logs, including audit logs, platform logs, and user logs, are sent to the Cloud Logging API where they pass through the log router. The log router checks each log entry against existing rules to determine which log entries to discard, which to ingest, and which to include in exports. |
Proactive monitoring | Cloud Monitoring allows you to create alerting policies to notify you when metrics, health check results, and uptime check results meet specified criteria. Integrated with a wide variety of notification channels, including Slack and PagerDuty. |
Prometheus as a managed service | Offload the scaling and management of Prometheus infrastructure, updates, storage, and more with Managed Service for Prometheus. Avoid vendor lock-in and keep all of the open source tools you use today for visualization, alerting, and analysis of Prometheus metrics. |
Custom visualization | Cloud Monitoring provides default out-of-the-box dashboards and allows you to define custom dashboards with powerful visualization tools to suit your needs. |
Health check monitoring | Cloud Monitoring provides uptime checks to web applications and other internet-accessible services running on your cloud environment. You can configure uptime checks associated with URLs, groups, or resources, such as instances and load balancers. |
Service monitoring | Service Monitoring provides out-of-the-box telemetry and dashboards that allow troubleshooting in context through topology and context graphs, plus automation of health monitoring through SLOs and error budget management. |
Latency management | Cloud Trace provides latency sampling and reporting for App Engine, including per-URL statistics and latency distributions. |
Performance and cost management | Cloud Profiler provides continuous profiling of resource consumption in your production applications, helping you identify and eliminate potential performance issues. |
Security management | Cloud Audit Logs provides near real-time user activity visibility across Google Cloud. |
Pricing
The pricing for Google Cloud's operations suite lets you control your usage and spending. Google Cloud's operations suite products are priced by data volume or usage. You can use the free data usage allotments to get started with no upfront fees or commitments.
Feature | Price | Free allotment per month | Effective date |
---|---|---|---|
Logging storage1 | $0.50/GiB; One-time charge for streaming logs into log bucket storage for indexing, querying, and analysis; includes up to 30 days of storage in log buckets. No additional charges for querying and analyzing log data. | First 50 GiB/project/month | July 1, 2018 |
Logging retention2 | $0.01 per GiB per month for logs retained more than 30 days; billed monthly according to retention. | Logs retained for the default retention period don't incur a retention cost. | April 1, 2023 |
Logging ingress3 | No additional charge | Not applicable | Not applicable |
No additional charge | Not applicable | Not applicable | |
No additional charge | Not applicable | Not applicable |
Feature | Price | Free allotment per month | Effective date |
---|---|---|---|
All Monitoring data except data ingested by using Managed Service for Prometheus | $0.2580/MiB6: first 150–100,000 MiB $0.1510/MiB: next 100,000–250,000 MiB $0.0610/MiB: >250,000 MiB | All non-chargeable Google Cloud metrics First 150 MiB per billing account for metrics charged by bytes ingested | July 1, 2018 |
Metrics ingested by using Google Cloud Managed Service for Prometheus, including GKE control plane metrics | $0.060/million samples†: first 0-50 billion samples ingested# $0.048/million samples: next 50-250 billion samples ingested $0.036/million samples: next 250-500 billion samples ingested $0.024/million samples: >500 billion samples ingested | Not applicable | August 8, 2023 |
Monitoring data ingested by using GKE workload metrics | GKE workload metrics is deprecated and removed in GKE 1.24; during the deprecation period, ingestion of GKE workload metrics is not charged | Not applicable | Not applicable |
Monitoring API calls | $0.01/1,000 Read API calls (Write API calls are free) | First 1 million Read API calls included per billing account | July 1, 2018 |
Execution of Monitoring uptime checks | $0.30/1,000 executions‡ | 1 million executions per Google Cloud project | October 1, 2022 |
Execution of Monitoring synthetic monitors | $1.20/1,000 executions* | 100 executions per billing account | November 1, 2023 |
Feature | Price | Free allotment per month | Effective date |
---|---|---|---|
Trace ingestion | $0.20/million spans | First 2.5 million spans | November 1, 2018 |
1 Storage volume counts the actual size of the log entries prior to indexing. There are no storage charges for logs stored in the _Required log bucket.
2 There are no retention charges for logs stored in the _Required log bucket, which has a fixed retention period of 400 days.
3 Ingress is defined as logs received through the Cloud Logging API.
4 Log routing is defined as forwarding received logs to a supported destination. Destination charges might apply to routed logs.
5 There is no charge to upgrade a log bucket to use Log Analytics or to issue SQL queries from the Log Analytics page.
Note: The pricing language for Cloud Logging changed on July 19, 2023; however, the free allotments and the rates haven't changed. Your bill might refer to the old pricing language.
6 For pricing purposes, all units are treated as binary measures, for example, as mebibytes (MiB, or 220 bytes) or gibibytes (GiB, or 230 bytes).
† Google Cloud Managed Service for Prometheus uses Cloud Monitoring storage for externally created metric data and uses the Monitoring API to retrieve that data. Managed Service for Prometheus meters based on samples ingested instead of bytes to align with Prometheus' conventions. For more information about sample-based metering, see Pricing for controllability and predictability. For computational examples, see Pricing examples based on samples ingested.
# Samples are counted per billing account.
‡ Executions are charged to the billing account in which they are defined. For more information, see Pricing for uptime-check execution.
* Executions are charged to the billing account in which they are defined. For each execution, you might incur additional charges from other Google Cloud services, including services such as Cloud Functions, Cloud Storage, and Cloud Logging. For information about these additional charges, see the pricing document for the respective Google Cloud service.
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