Is there a way to monitor the response time since mongo got a command to execute till the returned an answer?I couldn't find any in MMS nor in Server Density?Is there other service that can give me that information?
Hence, we can monitor MongoDB databases by using different tools like mongostat, mongotop, dbStats, collStats, and serverStatus commands. These commands provide real-time monitoring and reporting of the database server that allows us to monitor errors and database performance and assist in informed decision making to optimize a database.
Monitoring MongoDB Response Time
Monitor MongoDB with New Relic to quickly gain improved distribution and increased visibility into real-time user and app response times, throughput and breakdown by component and layer, and long-term data trends over time.
If the replication headroom is rapidly shrinking and is about to become negative, that means that the replication lag is getting higher than the oplog window. In that case, write operations recorded in the oplog will be overwritten before secondary nodes have time to replicate them. MongoDB will constantly have to resync the entire data set on this secondary which takes much longer than just fetching new changes from the oplog. Properly monitoring and alerting on Replication Lag and oplog window should allow you to prevent this.
This example shows the total amount of time spent while querying each collection. This view adds to, for example, a 99th percentile visualization of response times because a high total count could be reached if there are slow queries but also if there are many small queries.
This one plots the 99th response time percentile on the Y axis and the dot size represents the number of queries in the particular time bucket. Different colors represent different collections. Just another way of visualizing performance data which can be helpful in spotting trends. In this screenshot, for example, you can notice the cyclicality of the response times.
Dynatrace tracks and inspects all SQL statements and NoSQL queries sent by your application. There is no better way to solve a database problem than to have the SQL statements in question directly on screen. Inspect failure rates, database response times, and execution frequencies of all database read/write operations.
Dynatrace enables you to dig into your applications and find hotspots at the code level. Identify slow and buggy services by investigating service response times and failure rates per service-method. Easily pinpoint anomalies in response times and service requests.
This tracks the usage and storage statistics for each collection (count of operations and time by microsecond). mongodb.collstats.collection mongodb.collstats.commands.count mongodb.collstats.commands.time.us mongodb.collstats.db mongodb.collstats.getmore.count mongodb.collstats.getmore.time.us mongodb.collstats.insert.count mongodb.collstats.insert.time.us mongodb.collstats.lock.read.count mongodb.collstats.lock.read.time.us mongodb.collstats.lock.write.count mongodb.collstats.lock.write.time.us mongodb.collstats.name mongodb.collstats.queries.count mongodb.collstats.queries.time.us mongodb.collstats.remove.count mongodb.collstats.remove.time.us mongodb.collstats.total.count mongodb.collstats.total.time.us mongodb.collstats.update.count mongodb.collstats.update.time.us
mongodb.metrics.commands.aggregate.failed mongodb.metrics.commands.aggregate.total mongodb.metrics.commands.build_info.failed mongodb.metrics.commands.build_info.total mongodb.metrics.commands.coll_stats.failed mongodb.metrics.commands.coll_stats.total mongodb.metrics.commands.connection_pool_stats.failed mongodb.metrics.commands.connection_pool_stats.total mongodb.metrics.commands.count.failed mongodb.metrics.commands.count.total mongodb.metrics.commands.db_stats.failed mongodb.metrics.commands.db_stats.total mongodb.metrics.commands.distinct.failed mongodb.metrics.commands.distinct.total mongodb.metrics.commands.find.failed mongodb.metrics.commands.find.total mongodb.metrics.commands.get_cmd_line_opts.failed mongodb.metrics.commands.get_cmd_line_opts.total mongodb.metrics.commands.get_last_error.failed mongodb.metrics.commands.get_last_error.total mongodb.metrics.commands.get_log.failed mongodb.metrics.commands.get_log.total mongodb.metrics.commands.get_more.failed mongodb.metrics.commands.get_more.total mongodb.metrics.commands.get_parameter.failed mongodb.metrics.commands.get_parameter.total mongodb.metrics.commands.host_info.failed mongodb.metrics.commands.host_info.total mongodb.metrics.commands.insert.failed mongodb.metrics.commands.insert.total mongodb.metrics.commands.is_master.failed mongodb.metrics.commands.is_master.total mongodb.metrics.commands.is_self.failed mongodb.metrics.commands.is_self.total mongodb.metrics.commands.last_collections.failed mongodb.metrics.commands.last_collections.total mongodb.metrics.commands.last_commands.failed mongodb.metrics.commands.last_commands.total mongodb.metrics.commands.list_databased.failed mongodb.metrics.commands.list_databased.total mongodb.metrics.commands.list_indexes.failed mongodb.metrics.commands.list_indexes.total mongodb.metrics.commands.ping.failed mongodb.metrics.commands.ping.total mongodb.metrics.commands.profile.failed mongodb.metrics.commands.profile.total mongodb.metrics.commands.replset_get_rbid.failed mongodb.metrics.commands.replset_get_rbid.total mongodb.metrics.commands.replset_get_status.failed mongodb.metrics.commands.replset_get_status.total mongodb.metrics.commands.replset_heartbeat.failed mongodb.metrics.commands.replset_heartbeat.total mongodb.metrics.commands.replset_update_position.failed mongodb.metrics.commands.replset_update_position.total mongodb.metrics.commands.server_status.failed mongodb.metrics.commands.server_status.total mongodb.metrics.commands.update.failed mongodb.metrics.commands.update.total mongodb.metrics.commands.whatsmyuri.failed mongodb.metrics.commands.whatsmyuri.total mongodb.metrics.cursor.open.no_timeout mongodb.metrics.cursor.open.pinned mongodb.metrics.cursor.open.total mongodb.metrics.cursor.timed_out mongodb.metrics.document.deleted mongodb.metrics.document.inserted mongodb.metrics.document.returned mongodb.metrics.document.updated mongodb.metrics.get_last_error.write_timeouts mongodb.metrics.get_last_error.write_wait.count mongodb.metrics.get_last_error.write_wait.ms mongodb.metrics.operation.scan_and_order mongodb.metrics.operation.write_conflicts mongodb.metrics.query_executor.scanned_documents.count mongodb.metrics.query_executor.scanned_indexes.count mongodb.metrics.replication.apply.attempts_to_become_secondary mongodb.metrics.replication.apply.batches.count mongodb.metrics.replication.apply.batches.time.ms mongodb.metrics.replication.apply.ops mongodb.metrics.replication.buffer.count mongodb.metrics.replication.buffer.max_size.bytes mongodb.metrics.replication.buffer.size.bytes mongodb.metrics.replication.executor.counters.cancels mongodb.metrics.replication.executor.counters.event_created mongodb.metrics.replication.executor.counters.event_wait mongodb.metrics.replication.executor.counters.scheduled.dbwork mongodb.metrics.replication.executor.counters.scheduled.exclusive mongodb.metrics.replication.executor.counters.scheduled.failures mongodb.metrics.replication.executor.counters.scheduled.netcmd mongodb.metrics.replication.executor.counters.scheduled.work mongodb.metrics.replication.executor.counters.scheduled.work_at mongodb.metrics.replication.executor.counters.waits mongodb.metrics.replication.executor.event_waiters mongodb.metrics.replication.executor.network_interface mongodb.metrics.replication.executor.queues.free mongodb.metrics.replication.executor.queues.in_progress.dbwork mongodb.metrics.replication.executor.queues.in_progress.exclusive mongodb.metrics.replication.executor.queues.in_progress.network mongodb.metrics.replication.executor.queues.ready mongodb.metrics.replication.executor.queues.sleepers mongodb.metrics.replication.executor.shutting_down mongodb.metrics.replication.executor.unsignaled_events mongodb.metrics.replication.initial_sync.completed mongodb.metrics.replication.initial_sync.failed_attempts mongodb.metrics.replication.initial_sync.failures mongodb.metrics.replication.network.bytes mongodb.metrics.replication.network.getmores.count mongodb.metrics.replication.network.getmores.time.ms mongodb.metrics.replication.network.ops mongodb.metrics.replication.network.reders_created mongodb.metrics.replication.preload.docs.count mongodb.metrics.replication.preload.docs.time.ms mongodb.metrics.replication.preload.indexes.count mongodb.metrics.replication.preload.indexes.time.ms mongodb.metrics.storage.free_list.search.bucket_exhausted mongodb.metrics.storage.free_list.search.requests mongodb.metrics.storage.free_list.search.scanned mongodb.metrics.ttl.deleted_documents.count mongodb.metrics.ttl.passes.count
In this configuration we are monitoring multiple MongoDB servers from the same integration. For the first instance (HOST: 1st_mongodb_host) we are collecting metrics and inventory while for the second instance (HOST: 2nd_mongodb_host) we will only collect metrics. 2ff7e9595c
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