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180 results found

  1. Add connection pooling metrics for sharded clusters

    We recently ran into an issue where we hit the internal mongoS -> mongoD connection pool limit when reading from secondary's requiring Atlas support to increase the value of ShardingTaskExecutorPoolMaxSize.

    As a result it would be great to be able to monitor the internal mongoS -> mongoD connection pool usage so we can monitor it and set up alarms if it gets near the limit.

    2 votes

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  2. Expose hourly cost data as a metric for monitoring cluster cost

    The hourly cost of a cluster is already availble in the Atlas UI. Expose this same data as a metric for monitoring cluster cost. We understand it may not include the data transfer and some other costs but monitoring the spike or valleys in the monitor over time for a given cluster is helpful when autoscaling is turned on. Then we can also be able to set an alarm on the metric.

    2 votes

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  3. Premium Monitoring Granularity for lower tier clusters

    CURRENT STATE

    Premium Monitoring Granularity (10 second metrics) only available on M40 clusters or higher

    IMPACT

    Lower tiered environments (such as testing and staging) cannot have 10 second metrics granularity. Some customers export metrics to third parties such as Data Dog who only handle homogenous granularity of metrics.

    When Data Dog accepts different granularities e.g. 10 second granularity for PROD environments (M40+) and lower granularity for STAGE environments (lower than M40) - it leads to poor data integration and dashboards failing to load data properly.

    Customer does not have a reliable into their data since some environments send 10 second…

    2 votes

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  4. Collection size metrics

    Hi,

    From time to time we have Atlas auto-scale up our clusters' disks. We then need to start analyzing why. In some cases it is organic growth of the data we store, but in some cases we are missing TTLs or they are misconfigured and we accumulate data we do not need.
    In both cases, trying to realize what causes the disk increase is a very tedious process as some clusters have thousands of collections.
    To overcome this, we started running a small utility that gathers some data over all our collections. It iterates on all the organizations, all the…

    2 votes

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  5. Add application connection details

    It would be really helpful to be able to see application connection details on Atlas monitoring. The "real time" only shows active collections. I want to see which applications are connecting, active, and what queries are they running etc. At this moment, we don't have that on Atlas web console. Please consider this feature to be added in the coming future.

    1 vote

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  6. Show Mongos Connection Number in Overview.

    Currently, the connection number shown in Overview is shard connection, it is the connection from Mongos to Mongod, which should usually be lower than the Mongos connection.
    The connection limit for MongoDB is referring to Mongos connection which should be shown in overview or otherwise very misleading when we received connection % alert.

    1 vote

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  7. index stat

    Merge index stats from all replicas in index page UI, and enable the reset stats in UI.
    Preferably merge all stats from all shards and show it is coming from a secondary replica or a primary replica. Current index stats in UI only show primary stats and it is not useful.

    1 vote

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  8. Export Aggregation Results as Metrics to Prometheus

    Add support for exporting MongoDB aggregation results as Prometheus metrics. This would allow users to track custom queries and dynamic data, enabling more granular and meaningful monitoring and alerting in Prometheus and Grafana.

    6 votes

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  9. Notification "Failed maintenance"

    It would be helpful to have a "Failed maintenance" notification. While we cannot resolve the issue ourselves in such cases and need to open an Atlas support ticket, it is still important for us to receive a notification so that we are informed about the problem and can respond accordingly.

    1 vote

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  10. Query profiler drilldown by number of write conflicts

    One sort of issue that can lead to elevated CPU utilization but is otherwise hard to identify is queries with high numbers of write conflicts. Having some way to drill down to queries that exhibit these symptoms would be quite convenient.

    1 vote

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  11. Forward MongoDB Atlas logs to Securonix

    This is a feature request to integrate the forwarding of MongoDB Atlas logs to Securonix.

    1 vote

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  12. Properly Formatted Prometheus Integration (mongodb_ metrics)

    The (mongodb*) metrics collected by the integration lack the metric type and the description is extremely vague (mongodbcatalogStats_views has "catalogStats." as description). It would be easier to setup dashboards and queries if the type (e.g., gauge, counter) was properly set up and the metric provided a proper description.

    1 vote

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  13. Adding balancer activity from sharding Statistics into Atlas UI

    The customer often experience multiple performance issues in different clusters related to chunk migrations and in each case the customers are struggling with being able to determine that chunk migrations were occurring and started at the same time as the performance issue. The customer is limited in the observability available to identify this problem via Atlas UI:

    Using db.serverStatus().shardingStatistics on each shard can provide what the customers need.

    https://www.mongodb.com/docs/manual/reference/command/serverStatus/#mongodb-serverstatus-serverstatus.shardingStatistics

    In particular, key metrics below will provide good insight on balancer activity :

    For donor:

    1. db.serverStatus().shardingStatistics.countDonorMoveChunkStarted

    : The total number of times that MongoDB starts the moveChunk command or moveRange command…

    2 votes

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  14. Integrar la alerta de Replication lag de Atlas en el API de Prometheus

    Se solicita incluir métricas en el API de prometheus para poder implementar la alarma de Replication lag

    6 votes

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  15. View cluster/storage scalable (yes/no) in "All cluster" dashboard

    Right now in the "all cluster" view, one cannot see, if the clusters are enabled for auto scaling. my idea is to add this also to avoid last minute performance alerts for non scaling enabled clusters

    1 vote

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  16. Collection query audit logs

    It would be nice to be able to see what queries were run on which collection over the last x days.

    1 vote

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  17. MongoDB Atlas historical stats by collection

    It would be helpful to have historical metrics for storage by collection. Storage space used, indexspace used, number of indexes.
    Thanks

    1 vote

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  18. Improve Metric Correlation

    Would be nice to better correlate metrics, server events, and individual operations.

    For example would be helpful to have in the profiler indication of automatic scale up/down of the cluster in order to easily correlate actions that trigger them in the last 24h.

    1 vote

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  19. Metric Grouping

    A huge improvement and help when it comes to metrics would be the ability to query by grouping (e.g. for database access users). This way if you were to use a specific database user per a specific service connection, we could see how much load to the database that specific service is causing.
    Any form of implementation would be helpful, one example could be adding labels to the prometheus metrics per user, replica/shard etc.

    2 votes

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  20. Throttle instances within a shared tier

    Right now, if a cluster is in a shared tier, other "noisy neighbor" tenants can destroy performance by overusing the resources, forcing a restart, causing unstable behevior etc.

    Throttle noisy neighbors so that others don't suffer!

    1 vote

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