MongoDB Monitoring & Observability

Make data-driven decisions, optimize MongoDB performance, and ensure the security and resilience of your MongoDB environment.

MongoDB Monitoring
Query TimeMetrics

Monitor MongoDB Availability and Connection Metrics

Ensure seamless MongoDB operation with constant availability tracking and detailed connection metric analysis. Understand uptime, observe connection pool dynamics, and diagnose issues in real-time. This results in uninterrupted service, providing instant awareness of any potential challenges, empowering you with a resilient and reliable MongoDB environment.

MongoDB Connection Time
Slow QuerySlow MongoDB Commands

Pinpoint Slow MongoDB Commands Impacting App Performances

Achieve precision in optimizing MongoDB performance by pinpointing slow commands affecting app performance. Our advanced monitoring capabilities allow you to analyze and identify commands with the most significant impact on MongoDB responsiveness. Streamline your MongoDB infrastructure by optimizing these commands, ensuring a faster and more efficient system.

MongoDB Slow Query
DB CallWorkload Analysis

Understand Load Characteristics of MongoDB Instances

Gain precise insights into workload dynamics within MongoDB databases. By tracking and analyzing crucial load characteristics like throughput, response times, and operation rates, you can strategically plan capacity and allocate resources efficiently.

MongoDB Load Analysis
Slow QueryReplica Set

Diagnose and Resolve MongoDB Replica Set Challenges

Monitor real-time replication lag, consistency levels, and node health to uphold the continuous integrity of your data. Proactively detect and swiftly resolve potential issues within MongoDB Replica Sets, ensuring a dependable and resilient database environment.

MongoDB Replica Set Monitoring
Ensure Continuous Database Monitoring Across all SQL and No-SQL Databases
MySQL MonitoringMySQL
MongoDB MonitoringMongoDB
Memcached MonitoringMemcached
Redis MonitoringRedis
PostgreSQL MonitoringPostgreSQL
SQLite MonitoringSQLite
Aerospike MonitoringAerospike
MariaDB MonitoringMariaDB
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We've Got Your Stack Covered!

Boost Framework Performance

Boost Framework Performance

Gain insights into your performance, enhancing transaction flow and speeding up error resolution.

Trace Every Request Instantly

Trace Every Request Instantly

Visualize end-to-end traces across your stack, ensuring that you catch every error, performance issue, or bottleneck before it affects users.

Identify Slow Queries Instantly

Identify Slow Queries Instantly

Pinpoint and resolve slow database queries and eliminate performance bottlenecks impacting your application's responsiveness, leading to faster response times

Stay Alert to Vulnerabilities

Stay Alert to Vulnerabilities

Get alerted to potential library vulnerabilities, preventing security risks before they affect your customers or compliance.

Simplify Logs, Troubleshoot Faster

Simplify Logs, Troubleshoot Faster

Centralize all your logs in one place, and quickly identify the root cause of issues using advanced filtering, pattern detection, and log pipelines.

Custom Metrics That Matter

Custom Metrics That Matter

Set up and track custom metrics that align with your app's KPIs to ensure you're monitoring exactly what matters most for your success.

Quick Request Analysis Anytime

Quick Request Analysis Anytime

Explore request-level analysis, including stdout APM logs, to understand execution times, bottlenecks, and areas that need optimization.

Align APM with Server Metrics

Align APM with Server Metrics

Correlate your app’s APM metrics with server health to get a complete picture of your application’s performance and infrastructure dependencies.

Actionable Alerts

Actionable Alerts

Receive real-time alerts for app performance degradations and critical issues. Take immediate action to prevent downtime and optimize user experiences.

FAQs on MongoDB Monitoring

What is MongoDB monitoring, and why is it important?

MongoDB monitoring refers to the process of observing and collecting data on the performance, health, and activities of MongoDB databases. It is essential for identifying issues, optimizing performance, and ensuring the overall stability of MongoDB deployments.

What are some important MongoDB metrics to monitor in Atatus?

Key MongoDB metrics to monitor in Atatus include:

  1. Connection statistics: Number of connections, available connections, etc.
  2. Operation counters: Read and write operations.
  3. Memory usage: Resident, virtual, and mapped memory.
  4. Disk I/O: Read and write operations on disk.
  5. Replication lag: Time difference between primary and secondary nodes in a replica set.
Which databases does Atatus support for monitoring?

Atatus supports a wide range of popular databases, including but not limited to MySQL, MS SQL, PostgreSQL, MariaDB, Memcached, Redis, SQLite, and Aerospike. The platform provides integrations and pre-built dashboards tailored to each supported database, allowing users to monitor and analyze their database performance effectively. Whether your application relies on MySQL or a combination of different databases, Atatus provides a unified platform for effective monitoring and optimization.

Can Atatus help with tracking MongoDB queries and performance bottlenecks?

Atatus empowers users with tracing capabilities to actively monitor MongoDB queries and performance. By seamlessly integrating with Application Performance Monitoring (APM), users can correlate data and retrieve comprehensive stack trace information. This integration enables users to actively investigate MongoDB queries, pinpoint slow queries, analyze their impact, and proactively optimize database performance.

Does Atatus support monitoring MongoDB sharded clusters?

Yes, Atatus supports monitoring MongoDB sharded clusters. It provides insights into the performance of individual shards, as well as the overall health of the sharded cluster.

Does Atatus support integration with MongoDB logs?

Yes, Atatus supports Logs Monitoring for MongoDB. You can configure Atatus to collect and analyze MongoDB logs, enabling you to troubleshoot issues, track errors, and gain insights into the database's behavior.

Can I receive alerts for MongoDB issues in Atatus?

Yes, Atatus allows you to set up custom alerts based on specific conditions or thresholds for MongoDB metrics. This ensures that you are notified promptly when there are issues or performance deviations in your MongoDB database.

How long is my MongoDB query metrics available?

Data retention for MongoDB monitoring is set to 7 days by default. This can be changed in your billing settings to 60 or 90 days. Contact our Customer Success Representative if you require a longer retention period.

You're in good company.

You don't have to trust our word. Hear what our customers say!

Atatus is a great product with great support. Super easy to integrate, it automatically hooks into everything. The support team and dev team were also very helpful in fixing a bug and updating the docs.
Tobias
Tobias L
Full Stack Engineer, ClearVoyage
Atatus is powerful, flexible, scalable, and has assisted countless times to identify issues in record time. With user identification, insight into XHR requests to name a few it is the monitoring tool we choose for our SPAs.
Jan Paul
Jan-Paul B
Chief Executive Officer, iSavta
Atatus continues to deliver useful features based on customer feedback. Atatus support team has been responsive and gave visibility into their timeline of requested features.
Daniel
Daniel G
Software Engineer, MYND Management

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