![]() ![]() The io/database_load metric also provides a label of which operation typeĬaused the load. See the full list of Realtime Database metrics available through Cloud Monitoring. Your app is using SSL session tickets efficiently.Ĭloud Monitoring and receive notifications based on Realtime Database metrics.įor example, you can choose to receive a notification if your io/database_load Network/sent_payload_and_protocol_bytes_count to monitor whether or not You can measure this against the network/sent_bytes_count and Reused an existing SSL session ticket with the reused_ssl_session filter. SSL connection requests your database received, and split out requests that SSL overhead: Use network/https_requests_count to monitor how many.YouĬan also add storage/disabled_for_overages to see if your app experiencedĪny down time as a result of exceeded storage limits. Your storage utilization in relation to the Realtime Database storage limits. Storage: Use the storage/limit and storage/total_bytes to monitor.Io/database_load by type to troubleshoot different operation types. Total database load is used by each operation type. Operations: Use the io/database_load metric to see how much of your.Might have occurred if your Realtime Database exceeded any storage limits.Ĭombine metrics in charts on your dashboard for helpful insights and overviews.įor example, try the following combinations: Might have occurred if your Realtime Database exceeded any bandwidth or network ![]() This happens when the total bandwidth usedĪcross multiple minutes is condensed into the minute-long reporting interval Reported load might exceed 100% on operations You can also see which operation types are utilizing the most load,Īnd troubleshoot accordingly. See performance issues as your database load approaches the total availableīandwidth. Use this metric to monitor how much of yourĪvailable database bandwidth is in use processing requests over time. Note all metric type names are prefixed with /. Might want to use Cloud Monitoring to monitor the following metrics. If you're experiencing issues with performance, including uptime or latency, you See the following sections for tips on using specific Cloud Monitoring The steps for setting up Cloud Monitoring are described in Monitor Database Usage. The Realtime Database integration with Cloud Monitoring offers the deepest With charts that display various combinations of performance metrics over time. With Cloud Monitoring from Google Cloud, you can use the MetricsĮxplorer to see individual performance metrics, or create different dashboards You might not be able to drill down enough to troubleshoot potential performance issues. Tab gives you a more accurate overview of your database's overall performance, Overhead), and your database's load over 1-minute intervals. ![]() Offers information about simultaneous connections to your database, how muchĭata you're storing, outgoing bandwidth (including protocol and encryption To learn more about using the profiler tool, see Overhead, however, and should not be used to estimate billing costs. It doesn't include historical information or any statistics about connection The speed and payload size of each operation, in addition to unindexed queries. The Realtime Database profiler tool provides a realtime overview of You can gather data about your Realtime Database's performance through a fewĭifferent tools, depending on the level of granularity you need. This page discusses Realtime Database performance monitoring. Picture of your database's operations can be a helpful troubleshooting tool. Additionally, if something seems off, getting a clear Incoming and outgoing bandwidth and load can also give you an idea of what Performance and spot potential problems in your app. There are a few different ways to monitor your Firebase Realtime Database's ![]()
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