MongoDB Atlas

MongoDB Atlas

Remotely monitor your SaaS installation of MongoDB (Atlas)

Extension

Product information
Release notes

Overview

The extension remotely monitors your MongoDB Atlas projects through the MongoDB Atlas Administration API

Use cases

For SaaS deployments of MongoDB where the Dynatrace OneAgent cannot be installed. This extension enables insights into the overall health of your Atlas projects, clusters and nodes.

Get started

Activate the extension in your environment using the in-product Hub and provide the required configuration settings such as the Project Id and API access keys . Follow the instructions and prompts within the extension settings. MongoDB Atlas Prerequisites:

Find your atlas project ID
Create Org API key
Whitelist the ActiveGate IP address under the API Key access list

Details

This extension used the Atlas Administration API to fetch important metrics and metadata for your Projects, Clusters and Nodes.

Events

It also optionally fetches important Project events as Dynatrace log events. If enabled, by default ALL mongo events will be ingested into Dynatrace. You can view the list of events under the 'eventType' parameter at: listProjectEvents API Reference. Another good source to view Mongo events is: Mongo alert-types. Note: not all supported Atlas events are documented at this second link.

You can also specify a comma-separated list of events to collect if you only want to ingest specific event types. e.g., "CREDIT_CARD_ABOUT_TO_EXPIRE, NO_PRIMARY, CPS_SNAPSHOT_FALLBACK_FAILED, NDS_X509_USER_AUTHENTICATION_MANAGED_USER_CERTS_EXPIRATION_CHECK". All events are ingested as 'Info' severity logs. You can configure log preprocessing rules to automatically raise this severity for specific event types. See Dynatrace log Processing

DDU licensing

The metrics and events collected through this extension consume Dynatrace Davis Data Units (DDUs). See DDUs for metrics

The extension will monitor all clusters (deployments) within a Mongo Atlas project.
Each cluster then has a number of nodes (processes) which is where the metrics are collected from.
If you also want to collect disk metrics, then the disk metrics are collected from each node partition.

So, a general formula for the number of metrics would be:

Process Metrics (Total = 108):

num_process_metrics = Number of projects * Clusters in project * Nodes per Cluster * 108

Disk Metrics (Total = 18):

num_disk_metrics = Number of projects * Clusters in project * Nodes per Cluster * Partitions per Node * 18

Total_metrics = num_process_metrics + num_disk_metrics

You can use the feature sets defined below to enable/disable the collection of specific metric categories.

Compatibility information

Only compatible with MongoDB Atlas

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Extension content

Content typeNumber of items included

metric metadata

135

screen logs cards

1

generic relationship

4

screen layout

5

dashboards

1

generic type

5

screen chart groups

25

screen entities lists

4

Feature sets

Below is a complete list of the feature sets provided in this version. To ensure a good fit for your needs, individual feature sets can be activated and deactivated by your administrator during configuration.

Feature setsNumber of metrics included

Metric name	Metric key	Description	Unit
ASSERT_MSG	mongo.atlas.ASSERT_MSG	Rate of MSG asserts for a MongoDB process	PerSecond
ASSERT_REGULAR	mongo.atlas.ASSERT_REGULAR	Rate of REGULAR asserts for a MongoDB process	PerSecond
ASSERT_USER	mongo.atlas.ASSERT_USER	Rate of USER asserts for a MongoDB process	PerSecond
ASSERT_WARNING	mongo.atlas.ASSERT_WARNING	Rate of WARNING asserts for a MongoDB process	PerSecond

Metric name	Metric key	Description	Unit
OPLOG_MASTER_LAG_TIME_DIFF	mongo.atlas.OPLOG_MASTER_LAG_TIME_DIFF	-	Second
OPLOG_MASTER_TIME	mongo.atlas.OPLOG_MASTER_TIME	-	Second
OPLOG_RATE_MB_PER_MIN	mongo.atlas.OPLOG_RATE_MB_PER_MIN	Oplog rate (MB/min) - calculated from Atlas metric OPLOG_RATE_GB_PER_HOUR	MegaBytePerMinute
OPLOG_SLAVE_LAG_MASTER_TIME	mongo.atlas.OPLOG_SLAVE_LAG_MASTER_TIME	-	Second
-	mongo.atlas.OPLOG_REPLICATION_LAG	-	-

Metric name	Metric key	Description	Unit
SYSTEM_NETWORK_IN	mongo.atlas.SYSTEM_NETWORK_IN	Incoming network throughput in bytes per second.	BytePerSecond
SYSTEM_NETWORK_OUT	mongo.atlas.SYSTEM_NETWORK_OUT	Outgoing network throughput in bytes per second.	BytePerSecond
MAX_SYSTEM_NETWORK_IN	mongo.atlas.MAX_SYSTEM_NETWORK_IN	MAX Incoming network throughput in bytes per second.	BytePerSecond
MAX_SYSTEM_NETWORK_OUT	mongo.atlas.MAX_SYSTEM_NETWORK_OUT	MAX Outgoing network throughput in bytes per second.	BytePerSecond

Metric name	Metric key	Description	Unit
DISK_PARTITION_IOPS_READ	mongo.atlas.DISK_PARTITION_IOPS_READ	Throughput of I/O read operations for the disk partition used for MongoDB.	PerSecond
DISK_PARTITION_IOPS_WRITE	mongo.atlas.DISK_PARTITION_IOPS_WRITE	Throughput of I/O write operations for the disk partition used for MongoDB.	PerSecond
DISK_PARTITION_IOPS_TOTAL	mongo.atlas.DISK_PARTITION_IOPS_TOTAL	Throughput of total I/O operations for the disk partition used for MongoDB.	PerSecond
MAX_DISK_PARTITION_IOPS_READ	mongo.atlas.MAX_DISK_PARTITION_IOPS_READ	MAX Throughput of I/O read operations for the disk partition used for MongoDB.	PerSecond
MAX_DISK_PARTITION_IOPS_WRITE	mongo.atlas.MAX_DISK_PARTITION_IOPS_WRITE	MAX Throughput of I/O write operations for the disk partition used for MongoDB.	PerSecond
MAX_DISK_PARTITION_IOPS_TOTAL	mongo.atlas.MAX_DISK_PARTITION_IOPS_TOTAL	MAX Throughput of total I/O operations for the disk partition used for MongoDB.	PerSecond

Metric name	Metric key	Description	Unit
SYSTEM_NORMALIZED_CPU_GUEST	mongo.atlas.SYSTEM_NORMALIZED_CPU_GUEST	Guest CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
SYSTEM_NORMALIZED_CPU_KERNEL	mongo.atlas.SYSTEM_NORMALIZED_CPU_KERNEL	Kernel CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
SYSTEM_NORMALIZED_CPU_NICE	mongo.atlas.SYSTEM_NORMALIZED_CPU_NICE	CPU usage of processes with a positive nice value, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Count
SYSTEM_NORMALIZED_CPU_IOWAIT	mongo.atlas.SYSTEM_NORMALIZED_CPU_IOWAIT	CPU usage of processes spent waiting for IO operations to complete, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
SYSTEM_NORMALIZED_CPU_IRQ	mongo.atlas.SYSTEM_NORMALIZED_CPU_IRQ	CPU usage of harware interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
SYSTEM_NORMALIZED_CPU_SOFTIRQ	mongo.atlas.SYSTEM_NORMALIZED_CPU_SOFTIRQ	CPU usage of software interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
SYSTEM_NORMALIZED_CPU_STEAL	mongo.atlas.SYSTEM_NORMALIZED_CPU_STEAL	The percentage of time the CPU had something runnable, but the hypervisor chose to run something else, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
SYSTEM_NORMALIZED_CPU_USER	mongo.atlas.SYSTEM_NORMALIZED_CPU_USER	User CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores	Percent
MAX_SYSTEM_NORMALIZED_CPU_GUEST	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_GUEST	MAX Guest CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
MAX_SYSTEM_NORMALIZED_CPU_KERNEL	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_KERNEL	MAX Kernel CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
MAX_SYSTEM_NORMALIZED_CPU_NICE	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_NICE	MAX CPU usage of processes with a positive nice value, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Count
MAX_SYSTEM_NORMALIZED_CPU_IOWAIT	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_IOWAIT	MAX CPU usage of processes spent waiting for IO operations to complete, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
MAX_SYSTEM_NORMALIZED_CPU_IRQ	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_IRQ	MAX CPU usage of harware interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
MAX_SYSTEM_NORMALIZED_CPU_SOFTIRQ	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_SOFTIRQ	MAX CPU usage of software interrupts, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
MAX_SYSTEM_NORMALIZED_CPU_STEAL	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_STEAL	MAX The percentage of time the CPU had something runnable, but the hypervisor chose to run something else, scaled to a range of 0 to 100% by dividing by the number of CPU cores.	Percent
MAX_SYSTEM_NORMALIZED_CPU_USER	mongo.atlas.MAX_SYSTEM_NORMALIZED_CPU_USER	MAX User CPU usage of processes on the host scaled to a range of 0 to 100% by dividing by the number of CPU cores	Percent

Metric name	Metric key	Description	Unit
DISK_PARTITION_SPACE_PERCENT_USED	mongo.atlas.DISK_PARTITION_SPACE_PERCENT_USED	The percentage of disk used on the disk partition used by MongoDB.	Percent
DISK_PARTITION_SPACE_PERCENT_FREE	mongo.atlas.DISK_PARTITION_SPACE_PERCENT_FREE	The percentage of disk free on the disk partition used by MongoDB.	Percent
DISK_PARTITION_SPACE_USED	mongo.atlas.DISK_PARTITION_SPACE_USED	Amount of disk space used in Bytes, on the disk partition used by MongoDB.	Byte
DISK_PARTITION_SPACE_FREE	mongo.atlas.DISK_PARTITION_SPACE_FREE	Amount of disk space free in Bytes, on the disk partition used by MongoDB.	Byte
MAX_DISK_PARTITION_SPACE_PERCENT_USED	mongo.atlas.MAX_DISK_PARTITION_SPACE_PERCENT_USED	MAX The percentage of disk used on the disk partition used by MongoDB.	Percent
MAX_DISK_PARTITION_SPACE_PERCENT_FREE	mongo.atlas.MAX_DISK_PARTITION_SPACE_PERCENT_FREE	MAX The percentage of disk free on the disk partition used by MongoDB.	Percent
MAX_DISK_PARTITION_SPACE_USED	mongo.atlas.MAX_DISK_PARTITION_SPACE_USED	MAX Amount of disk space used in Bytes, on the disk partition used by MongoDB.	Byte
MAX_DISK_PARTITION_SPACE_FREE	mongo.atlas.MAX_DISK_PARTITION_SPACE_FREE	MAX Amount of disk space free in Bytes, on the disk partition used by MongoDB.	Byte

Metric name	Metric key	Description	Unit
COMPUTED_MEMORY	mongo.atlas.COMPUTED_MEMORY	Amount of COMPUTED process memory, in mebibytes (MiB)	MebiByte
MEMORY_RESIDENT	mongo.atlas.MEMORY_RESIDENT	Amount of RESIDENT process memory, in mebibytes (MiB)	MebiByte
MEMORY_VIRTUAL	mongo.atlas.MEMORY_VIRTUAL	Amount of VIRTUAL process memory, in mebibytes (MiB)	MebiByte
MEMORY_MAPPED	mongo.atlas.MEMORY_MAPPED	Amount of MAPPED process memory, in mebibytes (MiB)	MebiByte
DB_DATA_SIZE_TOTAL	mongo.atlas.DB_DATA_SIZE_TOTAL	Total On-disk data size - dbstats	Byte
DB_STORAGE_TOTAL	mongo.atlas.DB_STORAGE_TOTAL	Total On-disk storage size - dbstats	Byte
SWAP_USAGE_FREE	mongo.atlas.SWAP_USAGE_FREE	Total amount of swap space free.	Byte
SWAP_USAGE_USED	mongo.atlas.SWAP_USAGE_USED	Total amount of swap space in use.	Byte
MAX_SWAP_USAGE_FREE	mongo.atlas.MAX_SWAP_USAGE_FREE	MAX amount of swap space free.	Byte
MAX_SWAP_USAGE_USED	mongo.atlas.MAX_SWAP_USAGE_USED	MAX amount of swap space in use.	Byte

Metric name	Metric key	Description	Unit
FTS_DISK_UTILIZATION	mongo.atlas.FTS_DISK_UTILIZATION	Total bytes of disk space that search processes use.	Byte
FTS_MEMORY_MAPPED	mongo.atlas.FTS_MEMORY_MAPPED	Total bytes of mapped memory that search processes occupy.	Byte
FTS_MEMORY_RESIDENT	mongo.atlas.FTS_MEMORY_RESIDENT	Total bytes of resident memory that search processes occupy.	Byte
FTS_MEMORY_VIRTUAL	mongo.atlas.FTS_MEMORY_VIRTUAL	Total bytes of virtual memory that search processes occupy.	Byte
FTS_PROCESS_NORMALIZED_CPU_KERNEL	mongo.atlas.FTS_PROCESS_NORMALIZED_CPU_KERNEL	Percentage of time that the CPU spent servicing operating system calls for the search process.	Percent
FTS_PROCESS_NORMALIZED_CPU_USER	mongo.atlas.FTS_PROCESS_NORMALIZED_CPU_USER	Percentage of time that the CPU spent servicing user calls for the search process.	Percent

Metric name	Metric key	Description	Unit
QUERY_EXECUTOR_SCANNED	mongo.atlas.QUERY_EXECUTOR_SCANNED	Average rate per second to scan index items during queries and query-plan evaluations.	PerSecond
QUERY_EXECUTOR_SCANNED_OBJECTS	mongo.atlas.QUERY_EXECUTOR_SCANNED_OBJECTS	Average rate of documents scanned per second during queries and query-plan evaluations.	PerSecond
QUERY_TARGETING_SCANNED_OBJECTS_PER_RETURNED	mongo.atlas.QUERY_TARGETING_SCANNED_OBJECTS_PER_RETURNED	Ratio of the number of documents scanned to the number of documents returned.	Ratio
QUERY_TARGETING_SCANNED_PER_RETURNED	mongo.atlas.QUERY_TARGETING_SCANNED_PER_RETURNED	Ratio of the number of index items scanned to the number of documents returned.	Ratio

Metric name	Metric key	Description	Unit
OPCOUNTER_CMD	mongo.atlas.OPCOUNTER_CMD	Rate of database operations on a MongoDB process since the process last started	Count
OPCOUNTER_DELETE	mongo.atlas.OPCOUNTER_DELETE	Rate of database DELETE operations on a MongoDB process since the process last started	Count
OPCOUNTER_GETMORE	mongo.atlas.OPCOUNTER_GETMORE	Rate of database GETMORE operations on a MongoDB process since the process last started	Count
OPCOUNTER_INSERT	mongo.atlas.OPCOUNTER_INSERT	Rate of database INSERT operations on a MongoDB process since the process last started	Count
OPCOUNTER_QUERY	mongo.atlas.OPCOUNTER_QUERY	Rate of database QUERY operations on a MongoDB process since the process last started	Count
OPCOUNTER_UPDATE	mongo.atlas.OPCOUNTER_UPDATE	Rate of database UPDATE operations on a MongoDB process since the process last started	Count
OPCOUNTER_REPL_CMD	mongo.atlas.OPCOUNTER_REPL_CMD	Rate of database operations on MongoDB secondaries	Count
OPCOUNTER_REPL_UPDATE	mongo.atlas.OPCOUNTER_REPL_UPDATE	Rate of database UPDATE operations on MongoDB secondaries	Count
OPCOUNTER_REPL_DELETE	mongo.atlas.OPCOUNTER_REPL_DELETE	Rate of database DELETE operations on MongoDB secondaries	Count
OPCOUNTER_REPL_INSERT	mongo.atlas.OPCOUNTER_REPL_INSERT	Rate of database INSERT operations on MongoDB secondaries	Count

Metric name	Metric key	Description	Unit
DISK_PARTITION_LATENCY_READ	mongo.atlas.DISK_PARTITION_LATENCY_READ	Read Latency of the disk partition that hosts MongoDB.	MilliSecond
DISK_PARTITION_LATENCY_WRITE	mongo.atlas.DISK_PARTITION_LATENCY_WRITE	Write Latency of the disk partition that hosts MongoDB.	MilliSecond
MAX_DISK_PARTITION_LATENCY_READ	mongo.atlas.MAX_DISK_PARTITION_LATENCY_READ	MAX Read Latency of the disk partition that hosts MongoDB.	MilliSecond
MAX_DISK_PARTITION_LATENCY_WRITE	mongo.atlas.MAX_DISK_PARTITION_LATENCY_WRITE	MAX Write Latency of the disk partition that hosts MongoDB.	MilliSecond

Metric name	Metric key	Description	Unit
GLOBAL_ACCESSES_NOT_IN_MEMORY	mongo.atlas.GLOBAL_ACCESSES_NOT_IN_MEMORY	-	Count
GLOBAL_LOCK_CURRENT_QUEUE_READERS	mongo.atlas.GLOBAL_LOCK_CURRENT_QUEUE_READERS	The number of operations that are currently queued and waiting for the read lock.	Count
GLOBAL_LOCK_CURRENT_QUEUE_TOTAL	mongo.atlas.GLOBAL_LOCK_CURRENT_QUEUE_TOTAL	The total number of operations queued waiting for the lock (readers + writers)	Count
GLOBAL_LOCK_CURRENT_QUEUE_WRITERS	mongo.atlas.GLOBAL_LOCK_CURRENT_QUEUE_WRITERS	The number of operations that are currently queued and waiting for the write lock.	Count
GLOBAL_PAGE_FAULT_EXCEPTIONS_THROWN	mongo.atlas.GLOBAL_PAGE_FAULT_EXCEPTIONS_THROWN	-	Count

Metric name	Metric key	Description	Unit
CONNECTIONS	mongo.atlas.CONNECTIONS	Number of connections to a MongoDB process	Count
CURSORS_TOTAL_OPEN	mongo.atlas.CURSORS_TOTAL_OPEN	Total number of cursors for a MongoDB process.	Count
CURSORS_TOTAL_TIMED_OUT	mongo.atlas.CURSORS_TOTAL_TIMED_OUT	Total number of cursors that have timed-out for a MongoDB process.	Count

Metric name	Metric key	Description	Unit
PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL	mongo.atlas.PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL	Children Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
PROCESS_NORMALIZED_CPU_CHILDREN_USER	mongo.atlas.PROCESS_NORMALIZED_CPU_CHILDREN_USER	Children User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
PROCESS_NORMALIZED_CPU_KERNEL	mongo.atlas.PROCESS_NORMALIZED_CPU_KERNEL	Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
PROCESS_NORMALIZED_CPU_USER	mongo.atlas.PROCESS_NORMALIZED_CPU_USER	User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
MAX_PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL	mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_CHILDREN_KERNEL	MAX Children Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
MAX_PROCESS_NORMALIZED_CPU_CHILDREN_USER	mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_CHILDREN_USER	MAX Children User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
MAX_PROCESS_NORMALIZED_CPU_KERNEL	mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_KERNEL	MAX Kernel CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent
MAX_PROCESS_NORMALIZED_CPU_USER	mongo.atlas.MAX_PROCESS_NORMALIZED_CPU_USER	MAX User CPU usage scaled to a range of 0% to 100% by dividing by the number of CPU cores.	Percent

Metric name	Metric key	Description	Unit
BACKGROUND_FLUSH_AVG	mongo.atlas.BACKGROUND_FLUSH_AVG	Amount of data flushed in the background.	Count
RESTARTS_IN_LAST_HOUR	mongo.atlas.RESTARTS_IN_LAST_HOUR	Number of times the host restarted within the previous hour.	Count
OPERATIONS_SCAN_AND_ORDER	mongo.atlas.OPERATIONS_SCAN_AND_ORDER	The total number of queries that return sorted data that cannot perform the sort operation using an index.	Count
EXTRA_INFO_PAGE_FAULTS	mongo.atlas.EXTRA_INFO_PAGE_FAULTS	The total number of page faults	Count

Metric name	Metric key	Description	Unit
JOURNALING_COMMITS_IN_WRITE_LOCK	mongo.atlas.JOURNALING_COMMITS_IN_WRITE_LOCK	Number of journaling COMMIT operations.	Count
JOURNALING_MB	mongo.atlas.JOURNALING_MB	-	MegaByte
JOURNALING_WRITE_DATA_FILES_MB	mongo.atlas.JOURNALING_WRITE_DATA_FILES_MB	-	MegaByte

Metric name	Metric key	Description	Unit
TICKETS_AVAILABLE_READS	mongo.atlas.TICKETS_AVAILABLE_READS	The number of read tickets available to the WiredTiger storage engine.	Count
TICKETS_AVAILABLE_WRITE	mongo.atlas.TICKETS_AVAILABLE_WRITE	The number of write tickets available to the WiredTiger storage engine.	Count

Metric name	Metric key	Description	Unit
CACHE_BYTES_READ_INTO	mongo.atlas.CACHE_BYTES_READ_INTO	Read - Amount of bytes in the WiredTiger storage engine cache	Byte
CACHE_BYTES_WRITTEN_FROM	mongo.atlas.CACHE_BYTES_WRITTEN_FROM	Write - Amount of bytes in the WiredTiger storage engine cache	Byte
CACHE_DIRTY_BYTES	mongo.atlas.CACHE_DIRTY_BYTES	Amount of dirty bytes in the WiredTiger storage engine cache	Byte
CACHE_USED_BYTES	mongo.atlas.CACHE_USED_BYTES	Amount of used bytes in the WiredTiger storage engine cache	Byte

Metric name	Metric key	Description	Unit
OP_EXECUTION_TIME_COMMANDS	mongo.atlas.OP_EXECUTION_TIME_COMMANDS	The average execution time in milliseconds per command operation over the selected sample period.	MilliSecond
OP_EXECUTION_TIME_READS	mongo.atlas.OP_EXECUTION_TIME_READS	The average execution time in milliseconds per read operation over the selected sample period.	MilliSecond
OP_EXECUTION_TIME_WRITES	mongo.atlas.OP_EXECUTION_TIME_WRITES	The average execution time in milliseconds per write operation over the selected sample period.	MilliSecond

Metric name	Metric key	Description	Unit
DOCUMENT_METRICS_DELETED	mongo.atlas.DOCUMENT_METRICS_DELETED	Average rate of documents DELETED.	PerSecond
DOCUMENT_METRICS_INSERTED	mongo.atlas.DOCUMENT_METRICS_INSERTED	Average rate of documents INSERTED.	PerSecond
DOCUMENT_METRICS_RETURNED	mongo.atlas.DOCUMENT_METRICS_RETURNED	Average rate of documents RETURNED.	PerSecond
DOCUMENT_METRICS_UPDATED	mongo.atlas.DOCUMENT_METRICS_UPDATED	Average rate of documents UPDATED.	PerSecond

Metric name	Metric key	Description	Unit
INDEX_COUNTERS_BTREE_ACCESSES	mongo.atlas.INDEX_COUNTERS_BTREE_ACCESSES	Number of index btree ACCESSES.	Count
INDEX_COUNTERS_BTREE_HITS	mongo.atlas.INDEX_COUNTERS_BTREE_HITS	Number of index btree HITS.	Count
INDEX_COUNTERS_BTREE_MISS_RATIO	mongo.atlas.INDEX_COUNTERS_BTREE_MISS_RATIO	index btree miss ratio	Ratio
INDEX_COUNTERS_BTREE_MISSES	mongo.atlas.INDEX_COUNTERS_BTREE_MISSES	Number of index btree MISSES.	Count

Metric name	Metric key	Description	Unit
SYSTEM_MEMORY_USED	mongo.atlas.SYSTEM_MEMORY_USED	Physical memory used, in bytes	Byte
SYSTEM_MEMORY_AVAILABLE	mongo.atlas.SYSTEM_MEMORY_AVAILABLE	Physical memory available, in bytes	Byte
SYSTEM_MEMORY_FREE	mongo.atlas.SYSTEM_MEMORY_FREE	Physical memory free, in bytes	Byte
MAX_SYSTEM_MEMORY_USED	mongo.atlas.MAX_SYSTEM_MEMORY_USED	MAX Physical memory used, in bytes	Byte
MAX_SYSTEM_MEMORY_AVAILABLE	mongo.atlas.MAX_SYSTEM_MEMORY_AVAILABLE	MAX Physical memory available, in bytes	Byte
MAX_SYSTEM_MEMORY_FREE	mongo.atlas.MAX_SYSTEM_MEMORY_FREE	MAX Physical memory free, in bytes	Byte

Metric name	Metric key	Description	Unit
DATABASE_AVERAGE_OBJECT_SIZE	mongo.atlas.DATABASE_AVERAGE_OBJECT_SIZE	Average size of each document in bytes.	Byte
DATABASE_DATA_SIZE	mongo.atlas.DATABASE_DATA_SIZE	Total size of the uncompressed data held in the database.	Byte
DATABASE_STORAGE_SIZE	mongo.atlas.DATABASE_STORAGE_SIZE	Sum of the disk space allocated to all collections in the database for document storage, including free space.	Byte
DATABASE_INDEX_SIZE	mongo.atlas.DATABASE_INDEX_SIZE	Sum of the disk space allocated to all indexes in the database, including free index space.	Byte

Metric name	Metric key	Description	Unit
NETWORK_BYTES_IN	mongo.atlas.NETWORK_BYTES_IN	MongoDB process incoming network throughput, in bytes per second.	BytePerSecond
NETWORK_BYTES_OUT	mongo.atlas.NETWORK_BYTES_OUT	MongoDB process outgoing network throughput, in bytes per second.	BytePerSecond
NETWORK_NUM_REQUESTS	mongo.atlas.NETWORK_NUM_REQUESTS	The total number of distinct requests that the MongoDB process has received.	Count

Metric name	Metric key	Description	Unit
-	mongo.atlas.DATABASE_COLLECTION_COUNT	-	-
-	mongo.atlas.DATABASE_INDEX_COUNT	-	-
-	mongo.atlas.DATABASE_EXTENT_COUNT	-	-
-	mongo.atlas.DATABASE_OBJECT_COUNT	-	-
-	mongo.atlas.DATABASE_VIEW_COUNT	-	-

Full version history

To have more information on how to install the downloaded package, please follow the instructions on this page.

ReleaseDate

Full version history

Improved feature set query filtering
Improved rate limit handling (429 errors)
- Only query for Database level metrics every 20mins: Atlas retrieves database metrics every 20 minutes
Add support for Dynatrace Enrichment Attributes

Full version history

Add Dynatrace credential vault support for the API public/private key configuration

Full version history

Poll for database measurements: Process -> Database
Database metric metadata, topology, screens
Quality of life features
- Custom extension schedule
- Filters to only monitor specific clusters, databases or partitions

Full version history

Map metrics to MongoDB entities for tagging and management zones
Use the MongoDB icon for created entities
Update the version of extension dependencies

Full version history

Collects Atlas Metric OPLOG_RATE_GB_PER_HOUR and converts it to Dynatrace metric OPLOG_RATE_MB_PER_MIN

Full version history

Links processes to clusters via the connection string and user alias

Full version history

Support for ingesting all Atlas Event Types
User Configuration option to restrict capturing of specific events
Update the project unified analysis screen to view all events

Full version history

Update to use v2 of the MongoDB Atlas Administration API
Support for all listed Metric Types: Metrics Reference
Updated Dashboard and Unified Analysis Screens
Custom entity type for Partitions

Full version history

Resolves a bug where metric scraping returned early for clusters with multiple nodes.

Full version history

Support for monitoring multiple Projects from the same configuration

Full version history

Dashboard image and metric updates
Improved metric parsing to skip over null values

Full version history

Initial release - MongoDB Atlas events and metrics

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Upgrading from Dynatrace Managed to SaaS

Upgrading from Dynatrace Managed to SaaS

Drive innovation, speed, and agility in your organization by seamlessly and securely upgrading.

Log Management and Analytics

Log Management and Analytics

Innovate faster and more efficiently with unified log management and log analytics for actionable insights and automation.