--- title: Google Cloud Observability Reviews meta_title: 'Google Cloud Observability Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 99 reviews by the users' company size, role or industry to find out how Google Cloud Observability works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 99 scale: '5' date_modified: '2026-08-09' parent_category: name: Monitoring url: https://www.g2.com/categories/monitoring --- # Google Cloud Observability Reviews **Vendor:** Google **Category:** [Observability Software](https://www.g2.com/categories/observability-software) **Average Rating:** 4.3/5.0 **Total Reviews:** 99 ## About Google Cloud Observability Monitoring, logging, and diagnostics for applications on Cloud Platform and AWS ## Google Cloud Observability Pros & Cons **What users like:** - Users value the **intuitive APIs and documentation** of Google Cloud Observability, enhancing their use of Cloud Logging and Tracing. (1 reviews) - Users appreciate the **concise APIs and documentation** for Cloud Logging and Tracing, enhancing ease of use. (1 reviews) - Users appreciate the **easy integration** of Cloud Tracing with OpenCensus, enhancing their observability experience effortlessly. (1 reviews) **What users dislike:** - Users find **UX issues** in Google Cloud Observability, particularly with trace viewer navigation and clarity in multi-threading operations. (1 reviews) ## Google Cloud Observability Reviews ### 1. GCO review for stackdriver product **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** December 31, 2020 **What do you like best about Google Cloud Observability?** * integration with Stackdriver is smooth if we are using GCP products, it seamless and easy to view the data on default dashboards. * Kubernetes default integration is out of the box and has real meaningful insights into workload monitoring. **What do you dislike about Google Cloud Observability?** * Lag in showing the data on the dashboard is huge, for some products it even reaches 4m, which is highly unacceptable to business usecases. For example, compute.googleapis.com ingestion delay is 240s. **Recommendations to others considering Google Cloud Observability:** * integration with existing GCP product is seamless, especially with kubernetes. Hence I would recommend using it. The only concern I have to the data ingestion lag is 1 minute to 4 minutes. **What problems is Google Cloud Observability solving and how is that benefiting you?** We are using Stackdriver logging and monitoring to view the logs and monitor the service running on Kubernetes. Also, we have stackdriver exporter which pull the stackdriver metrics and ingest them into our inhouse monitoring platform as we want to have a unified interface for all the monitoring across all the service running in GCP. We mostly pull data for cloud sql and VPN tunnels. Stackdriver APIs really helped in having a unified interface for alerting and visulization. ### 2. Have been using SD for 3 years now. Its sometimes lag in data loading and sometime is good. **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** November 19, 2019 **What do you like best about Google Cloud Observability?** I like the uptime check of the SD and its integration with Pager Duty and Slack. **What do you dislike about Google Cloud Observability?** The data loading problem, had to open in in-cognito mode very often. **Recommendations to others considering Google Cloud Observability:** Its a good tool. Lags a bit but will be better with updation in controller. **What problems is Google Cloud Observability solving and how is that benefiting you?** It helps us in monitoring, alerting and dash-boarding. Its PagerDuty integration helps us in our on-call rotation and other alert integration works best like Slack. ### 3. Good for aggregating logs, easy to use if already on GCP, bad for metrics **Rating:** 3.0/5.0 stars **Reviewed by:** Matthew W. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 24, 2019 **What do you like best about Google Cloud Observability?** Easy to collect logs from all Google Cloud services you use. Logs are kept in an archive for a very long time (if you can pay for it). **What do you dislike about Google Cloud Observability?** Searching through gathered logs is a bit slow. Metrics are not well supported. There is a limit to how often you can send a particular metric to Google, no matter how many processes you have running that would need to send the metric. So, you must create your own metric collection infrastructure so that you can buffer them and send the aggregate metrics periodically. **Recommendations to others considering Google Cloud Observability:** Useful for aggregating and searching logs, but less useful for metrics. Other products like Datadog have better support for being able to easily send metrics from each process. With Stackdriver metrics, you need to aggregate them yourself because you can only send one metric every 5 seconds or so. If you have two microservice instances, that means sending the metrics to a dedicated microservice just to collect them and aggregate them so that between your entire system, the metric is only sent to GCP every 5 seconds or so. **What problems is Google Cloud Observability solving and how is that benefiting you?** Knowing what's going on in each stage of our big data pipeline. Logs from different microservices are aggregated and we can search through them. It supports structured logging, so we can attach tags to the log messages like the Kubernetes pod or cluster it's running in, to more easily filter the messages to what we want to see. ### 4. Stackdriver Scope **Rating:** 2.5/5.0 stars **Reviewed by:** Neeraj S. | Solutions Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 11, 2019 **What do you like best about Google Cloud Observability?** The ability to attach multiple projects to a single workspace **What do you dislike about Google Cloud Observability?** Limits on number of projects which can be linked with one workspace. Why can't it collect metrics which prometheus is providing, why we need third party products **What problems is Google Cloud Observability solving and how is that benefiting you?** Single Pane for 2000 projects ### 5. Using it for GKE, DataProc logging and alerting **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 07, 2019 **What do you like best about Google Cloud Observability?** Stackdriver's ease of use and the integration with the other google services **What do you dislike about Google Cloud Observability?** Still needs to mature and provide same capabilities as splunk **What problems is Google Cloud Observability solving and how is that benefiting you?** Logging and Monitoring ## Google Cloud Observability Discussions - [What is the best way to learn Stackdriver?](https://www.g2.com/discussions/what-is-the-best-way-to-learn-stackdriver) - 1 comment, 1 upvote - [View Google Cloud Observability pricing details and edition comparison](https://www.g2.com/products/google-cloud-observability/reviews?filters%5Bnps_score%5D%5B%5D=3§ion=pricing&secure%5Bexpires_at%5D=2026-08-10+01%3A53%3A26+-0500&secure%5Bsession_id%5D=984f3ee3-7bb3-4c2d-b657-27f17f655f0c&secure%5Btoken%5D=9453273f57df15464059c1e7c5d640171dda005eb1568e6f7799fef2331b9826&format=llm_user) ## Google Cloud Observability Features **Monitoring** - Usage Monitoring - Database Monitoring - API Monitoring - Real-Time Monitoring - Cloud Infrastructure Monitoring - Security and Compliance Monitoring **Telemetry Collection & Ingestion - Observability** - Multi-Telemetry Ingestion - OpenTelemetry Support **Agentic AI - Observability Software** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - AI/Machine Learning - Third-Party Integrations **Administration** - Activity Monitoring - Multi-Cloud Management - Automation - Auto-Scaling & Resource Optimization **Visualization & Dashboards - Observability** - Service Dependency Mapping - Unified Dashboard - Trace Visualization - Activity Dashboard **Analysis** - Reporting - Dashboards and Visualizations - Spend Forecasting and Optimization **Correlation & Root Cause Analysis - Observability** - Cross-Telemetry Correlation - Root Cause Detection - Intelligent Alerting **Scalability & Ecosystem Integration - Observability** - Kubernetes Monitoring - Hybrid/Multi-Cloud Support - Real-Time Monitoring - Network Monitoring - Container Monitoring - Activity Monitoring **Agentic AI - Cloud Infrastructure Monitoring** - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Features - Observability** - Predictive Insights - Generative AI - AI Anomaly Detection **AI Automation - Cloud Infrastructure Monitoring** - AI-Powered Anomaly Detection - AI-Driven Insight Recommendations **Additional Functionality** - Vulnerability Management - Load Balancing - Asset Discovery - AI Copilot - Real-Time Data - Incident Reporting - Real-Time Analytics - Threat Response - Threat Intelligence - Performance Metrics - Alerts/Notifications - Compliance Management - Workflow Management - Configuration Management - Issue Tracking - Reporting & Statistics - Log Management - Troubleshooting - Incident Management - Root Cause Analysis - Prioritization - Key Performance Indicators ## Top Google Cloud Observability Alternatives - [Dynatrace](https://www.g2.com/products/dynatrace/reviews) - 4.5/5.0 (1,234 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (715 reviews) - [Azure Monitor](https://www.g2.com/products/azure-monitor/reviews) - 4.3/5.0 (91 reviews)