Datadog Google Cloud Platform and GCP Storage Monitoring

Monitor Cloud Storage with Bucket-Level Metrics

Prevent negative user experiences by proactively monitoring availability, response times, reliability, error rates, and throughput
Control storage costs with bucket-level issue monitoring, including stale prefixes, which indicate unused data
Detect unexpected application behavior or security issues by tracking sharp increases in prefix size
Quickly spot delays in data delivery that might compromise downstream processing deadlines with granular, prefix-level insights into datasets

Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and alerts on latency, yarn application, and queue-size metrics
Resolve detected problems faster with infrastructure metrics, distributed request traces, and logs all within one platform
Test hypotheses in seconds by overlaying data pipeline events onto time-synchronized metric graphs
Understand short-term and long-term performance in context with high-granularity metrics and events stored for 15 months or longer

Easily verify that your streaming architecture is highly available through dashboard reporting, synthetic tests, and more
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
Proactively prevent outages and errors by alerting on metric forecasts or specific data thresholds
Eliminate false-positives and receive smarter alerts that account for daily, weekly, and seasonal fluctuations or cascading event failures

Improve collaboration across teams with workflow integrations such as Slack and PagerDuty
Easily analyze performance issues with intuitive tag filtering, custom dashboards, and publicly-shareable links
Reduce mean time to resolution with a unified view of your metrics, traces, and logs