MongoDB is one of the most popular NoSQL databases in use today. The fact that it is a free, open-source database makes it the go-to solution for individuals and businesses looking for an affordable database that performs just as well as the other popular brands out there – free or otherwise.
In this article, we will be looking at the best MongoDB monitoring tools to help such users and businesses get the most out of their database of choice.
Here’s our list of the seven best MongoDB monitoring tools:
- SolarWinds Database Performance Monitor (FREE TRIAL) A superior MongoDB monitoring tool made for enterprises looking for a bang for one’s buck and knowing that their investment will always be worth it.
- Quest Foglight for MongoDB A MongoDB monitoring tool that is effective as both a standalone solution or as part of an existing architecture; it has a tiny digital footprint but is powerful enough to be implemented in larger business environments.
- Datadog Application Performance Monitoring (APM) An all-around solution to handle the whole network stack, and not only MongoDB installations; all dependencies are also taken into consideration.
- ManageEngine Applications Manager A popular database and applications monitoring tool for deep insights into MongoDB performance; it also offers reports and forecasting features for trending.
- Site24x7 Server Monitoring A flexible and versatile MongoDB monitoring solution that requires installing plugins to create an overall management tool; it comes at an affordable price but performs like the best in the market.
- Dynatrace MongoDB Monitoring A MongoDB monitoring solution that reads deep into metrics which is then visualized in interactive dashboards; it offers automatic recognition of sub-par performance for proactive action.
- LogicMonitor MongoDB Monitoring A MongoDB management solution for database and server health; its native monitoring allows for in-depth business intelligence in cloud-based architectures.
What is MongoDB?
MongoDB is a flexible and scalable document database that also has querying and indexing features, just like any other database out there.
Ok; but what is a “document database”?
Document-oriented databases – or document databases – are databases that store data as documents. This is a more flexible structure when compared to other databases because fields can be used to store arrays, or two records can have different fields.
MongoDB represents these documents in a binary-encoded JSON format called BSON (Binary JSON) data-interchange format which adds speed to the flexibility of the JSON format, along with other data types.
Other examples of document databases include CouchDB and Amazon DynamoDB.
MongoDB – which can be either cloud-based or on-premises – is primarily targeted to help small-to-medium businesses (SMBs), and even larger organizations, store their data and perform read and write query operations as well as sort their data based on multiple field selections. This allows developers to access and analyze their data using ad-hoc queries, indexing, and data aggregation in real-time.
MongoDB is also popular because it allows users to fully control it, mold it to meet their requirements, and follow a stable process – even when they run their most resource-intensive applications.
Why choose MongoDB?
MongoDB, as we have mentioned, is the most popular NoSQL, document-based database. It is used by some of the biggest tech companies: Facebook, eBay, Foursquare, Expedia, and Electronic Arts being a few of them. Their reasons for choosing this database solution include:
- It is easy to install and use – even in a managed enterprise environment – and can also be easily integrated into their existing architectures.
- It offers an expressive query language and secondary indexes.
- It offers a robust database storage solution that also has a strong consistency.
- It can be used in geo-application environments allowing for always-on global deployments of applications.
- Administrators can create visualizations and connect with Business Intelligence tools that are compatible with the MySQL protocol.
But, most importantly, MongoDB’s document model is simple enough for developers to master in a short time and it is a highly scalable database that can meet complex requirements. It comes with a default of drivers for over a dozen languages, but the user community has created dozens more.
Finally, MongoDB ensures high availability thanks to its replication mechanisms and horizontal scalability thanks to sharding – two main reasons it is currently the most widely adopted document storage system.
The Seven Βest MongoDB Μonitoring Τools
Ok; let’s get back to our list of the seven best MongoDB monitoring tools. And, without further ado, they are:
The SolarWinds Database Performance Monitor (DPM) is a tool that is used to manage a wide range of databases, including MongoDB. It offers round-the-clock monitoring of mission-critical data storage solutions and presents it for big-data analysis on customizable dashboards for the convenience of administrators and developers alike.
Features offered in SolarWinds DPM include:
- Administrators have full and easy access to their databases and get real-time or historical MongoDB data to help pinpoint performance issues.
- It has a SaaS platform with a web-based user interface that can monitor databases in the cloud, on-premises, or in hybrid architectures. It also offers performance monitoring and optimization for traditional or open-source databases that could be running alongside the MongoDB database.
- SolarWinds Database Performance Monitor’s Explorer feature makes it easy to see the performance, and impacts, of queries on a database and the infrastructure as a whole.
- Administrators can view CPU utilization alongside their query data to quickly determine if any queries are running more frequently, taking longer, or perhaps not using indexes when they should.
- The tool’s dashboards – which are easy to create and share – make it easy to visualize the thousands of metrics, which are collected by lightweight agents, about queries, databases, and the infrastructure.
- Adaptive fault detection in DPM helps find small interruptions to server or service availability while they’re still small – which helps avoid major outages later.
When it comes to MongoDB specifically, DPM has even more to offer:
- Performance monitoring designed especially for MongoDB and with a real-time and historical analysis of MongoDB query performances, executions, and index usages.
- MongoDB best practice guidance – the tool reviews the settings in place in the operating system, database instances, and replica sets to find any inconsistencies or divergence from MongoDB best practices.
- DPM continuously evaluates configurations to identify vulnerabilities while also providing ongoing compliance status updates – this helps mitigate the risk of cyberattacks due to misconfigurations in MongoDB deployments.
All in all, this suite of tools will help monitor the health of MongoDB installations as well as their dependent databases – both SQL and NoSQL types. It is also expandable as it can work with an array of other SolarWinds products.
You can try SolarWinds Database Performance Monitor through a free and fully functional 14-day trial.
Foglight for MongoDB is designed to provide enterprises with a powerful tool that can act as a standalone solution, or become part of a broader cross-platform database monitoring system. It supports the monitoring of key functions including the server itself, as well as its queries, indexing, replication, load balancing, and file-storage health.
Foglight for MongoDB helps centralize the management of cross-platform databases and provides alerting and notification workflows, real-time and historical diagnostics, and reporting, as well as for analytics of collected data. Looking into more features we get:
- Foglight, which supports MongoDB 2.4 or later, can be deployed both on-premises or as a cloud-based monitoring solution.
- It uses memory tracking and analysis to keep an eye on all aspects of memory utilization – including allocated memory and resident memory – with alerting capabilities if allocated memory isn’t enough to hold all indexes or is insufficient for peak performances.
- It offers database operation analysis to track and analyze database loads along with insights into database operation statistics like details on replication lags and sharding.
- It has page fault tracking capabilities to receive alerts when the number of page faults is high or increasing, which gives administrators enough time to increase allocated memory.
- Intelligent alerting prevents false alerts with flexible, customizable thresholds to ensure that alarms are triggered only when baselines are breached.
Although it can perform all these tasks to keep a MongoDB installation safe, Foglight for MongoDB has a light digital footprint which makes it a good choice for networks with limited bandwidth resources available.
Download a FREE trial of Foglight for MongoDB.
Datadog Application Performance Monitoring (APM) provides end-to-end distributed monitoring – from frontend devices to the databases in the back.
By seamlessly correlating distributed traces with frontend and backend data, Datadog APM allows for the monitoring of service dependencies, reducing latency, and eliminating errors so end-users get the best possible experience out of their databases.
Looking at more eye-catching features, we have:
- Datadog APM is easy to deploy – it only takes seconds to start application performance monitoring of hosts, containers, serverless functions, and PaaS.
- Once up and running, it can collect, search, and analyze 100% of traces live for the data that has been received over the past 15 minutes.
- It can also retain errors and high latency traces automatically for 15 days.
- APM has out-of-the-box service dashboards that give code-level visibility into issues which helps administrators pinpoint the causes of errors and latencies in a short time.
The Datadog Agent is an open-source, and easy install, software that collects and reports on metrics extracted from hosts and database servers – like MongoDB. These metrics are then made accessible to Datadog dashboards where they are visualized and can be monitored easily. Administrators can therefore correlate the performance of their MongoDB installations to see how they are affecting, or affected by, other applications that interface with them.
Incidentally, these dashboards can be cloned, customized, or even integrated with other metrics from any part of the stack to get a bigger picture.
Once issues are spotted, or if there is any other need for communication, they can be easily reported using platforms like Slack, PagerDuty, or HipChat – all of which are examples of platforms that integrate well with Datadog.
Datadog APM would be the ideal choice for SMBs looking for a simple solution that is both highly effective and all-inclusive at the same time.
Try Datadog Application Performance Monitoring FREE for 14 days.
Most administrators know that ManageEngine is one of the more popular database and applications management tools out there. It shouldn’t come as a surprise, then, that Applications Manager is being included in this article. This monitoring tool supports MongoDB 3.6.2 (and older versions) as well as mongod and mongos services.
Administrators can monitor MongoDB with in-depth insights into important key performance parameters, spot bottlenecks, and troubleshoot these (and other) issues before they affect the end-users UX. They can monitor lock stats – such as the number of read/write locks and active users performing those operations – to prevent any latency problems.
It also provides statistics on database operations – along with replication and sharding operation details – with which administrators can ensure that they are running their MongoDB instances at optimal rates.
MongoDB registers every change in a journal, and monitoring these entries gives administrators insights into loads. Applications Manager also uses polled data – like the commits to a journal in the last commit interval, commits behind a write lock, and commits before a scheduled interval – to create these in-depth insights.
And, of course, administrators can also get historical reports, over a period of time, and compare them to find trends or spot recursive errors. They can then set threshold values for important metrics and receive alerts (or even configure actions to take) when they are not met.
Finally, ManageEngine Application Manager’s comprehensive reports help to evaluate the performance and trends of a MongoDB installation, while machine learning techniques help in forecasting the load and plan capacity of the database servers.
Site24x7 Server Monitoring provides website monitoring to diagnose performance issues, receive instant alerts, and troubleshoot any unplanned downtimes for any server, including MongoDB – all you need to do is install a plugin.
In fact, Site24x7 has over 100 Plugin Integrations that are ready-to-use and allow for the monitoring of servers like MySQL, Apache, and Nagios. For the savvier administrator, there is the option to write their own plugin – using Python, Shell, PowerShell, Batch, or VB – and monitor any type of data they may want.
The tool offers server performance monitoring using key metrics—including CPU usage by a processor or by core, used and free memory, and more—to monitor server availability and health.
And, once the MongoDB plugin has been installed using lightweight, easy-to-install agents, administrators can:
- Instantly start monitoring their MongoDB servers.
- Obtain a forecast on their disk usage, and then plan for optimal usages in the future.
- Monitor and analyze the network traffic that travels to and from their servers to proactively resolve network issues and outages.
- Examine the performance of services and processes to understand their effects on system resources; they can then use a dedicated mobile app to start, stop or delete them.
- Receive alerts notifying them of unauthorized accesses because a server is always busy with both foreground and background jobs and it becomes difficult to keep track of everything that is being created or modified on it.
- Extract detailed root cause analysis (RCS) reports for every server issue and, based on the analysis, automate fault resolution with exclusive IT Automation tools.
Finally, administrators can take full control of their domains by implementing preventive measures that are based on over 60 performance metrics, highly intuitive dashboards, IT Automation, and instant alerting mechanisms to monitor, warn about, and help resolve issues.
Site24x7 Server Monitoring is a good choice for businesses with a tight IT budget looking for a premium solution.
Get started with a 30-day FREE trial of Site24x7 Server Monitoring.
Dynatrace’s dedicated tool – dubbed MongoDB Monitoring tool – starts to auto-detect MongoDB databases as soon as its agent has been installed.
Once it is up and running, it starts visualizing the data it gathers. This, for example, involves reading deep into the detailed metrics for every single database statement which helps in tuning rogue applications and services that connect to a database. It can even visualize how apps use the databases by showing detailed usage characteristics which can later help make configurations easier to perform.
Dynatrace automatically recognizes when a database is not performing at its best; a default baselining approach sets the bar and any underperformance triggers an alert that pinpoints the problem. It also offers process-level visibility into database performance to help identify any failing components.
Perhaps, the best thing about this tool would be its MongoDB performance tuning capabilities. A MongoDB database performance checklist usually involves tasks like verifying the hosts’ health by monitoring server data, ensuring optimal VM performance by analyzing their metrics, optimizing database access with application data, and analyzing the network data to see any issues with database communication capabilities – all of which can be done with the help of Dynatrace MongoDB Monitoring.
It can check the CPU, memory, and disk space metrics to make sure all MongoDB processes have sufficient resources available. It can also monitor page faults per second – having too much of which could be an indication that a host is out of memory.
Try Dynatrace MongoDB Monitoring FREE for 15 days.
LogicMonitor’s MongoDB Monitoring package offers to monitor for database and server health. This MongoDB monitoring package is compatible with versions 4.1 or older.
Thanks to its native MongoDB monitoring, users of this tool get in-depth performance and availability monitoring right out of the box, without having to spend hours writing custom scripts.
With LogicMonitor, companies have the ability to not only monitor general MongoDB statistics – like operations per second, memory usage, and locks – but can also extract valuable business intelligence from their data.
It has replication for clusters where the package uses its MongoDB Java Driver to monitor the servers directly. This makes it possible for LogicMonitor to proactively keep tabs on all MongoDB servers and clusters, allowing for the implementation of predefined alert thresholds to help ensure the health, performance, and availability of services.
Administrators can easily add trending and alerting for any metric that is queried from MongoDB because of the tool’s extensibility to parse the JSON output of the queries. Also, the tool’s built-in expressions allow for the combination of metrics to calculate resource availability and usage, store them for future retrieval, report on them via dashboards or graphical presentation, or even set them as thresholds for alerting purposes. These alerts can be used to indicate if the thresholds have been exceeded.
Some more features worth mentioning include:
- MongoDB Replication Monitoring – which automatically discovers all replicas and arbiters, tracks their lag, health, and other metrics.
- MongoDB Flush Time – to track the time spent flushing to a disk and alert administrators when they are overloading the IO system of the Primary or Secondary servers.
- Cluster-Wide views – used to easily generate domain-wide views of all operations across all replicas.
- MongoDB Query activity – to monitor the amount and type of queries performed over time with the intention of tracking MongoDB activity increases or changes over time.
LogicMonitor MongoDB Monitoring is the ideal tool for businesses looking for a monitoring tool that can take care of their cloud-based infrastructure that also includes their MongoDB installation.
Sign up for a 14-day FREE trial of LogicMonitor MongoDB Monitoring.