This is a guest blog post by Manoj Mohanan, Technical Marketing Specialist at HP.
Over the past few years, non-relational databases have seen tremendous growth and acceptance across industries, with MongoDB leading the way. The database has now made considerable inroads into enterprise companies, with over a third of the Fortune 100 utilizing it to power their next-generation and mission-critical applications. This wide adoption makes MongoDB monitoring a necessary feature in many infrastructure and application monitoring systems.
Due to an increasingly dynamic and complex IT landscape, operations personnel are often tasked with becoming proficient in monitoring and managing newly introduced technologies. Perhaps just as important, they also face the need to bring their newly acquired knowledge and processes into their existing end-to-end operations; without a tight integration, it may be difficult to understand how the behavior of one of their new technologies impacts the wider business. For organizations looking to drive innovation with new technologies, these operational challenges are significant, especially given the sheer breadth of tools now available to developers.
A more modern approach to IT Operations management can drastically reduce the number of events presented to operators and automate the discovery of business service dependencies. These capabilities help filter and correlate events to remove noise and get to the root cause of each issue. The result is faster mean time to repair, with some customers reaching as much as 75 percent reduction in event volumes and 90 percent improvements in MTTR.
The HP Operations Bridge solution uniquely addresses these challenges by providing the means to sense the status and analyze the state of service delivery. It dynamically and automatically discovers and correlates—even as the environment changes—three sets of data:
- Event data that indicates infrastructure- or service-impacting issues
- Topology data that ties the IT infrastructure to the business services that rely on it
- Metrics that describe the availability and performance of the business service and its dependencies
HP Operations Bridge has just been improved with the announcement of OMi version 10, a core product in the Operations Bridge solution. With over 100+ integrations, it covers many of the technologies that are being used in today’s IT ecosystem to fuel various business apps, e.g. MongoDB, Vertica, Docker, VMWare, HortonWorks and many more. Learn more in the HP blog, Our Connected World Seen Through the Spanish Looking Glass.
While MongoDB does offer domain-specific monitoring via MMS and Ops Manager, some operations teams may require monitoring to be available through a consolidated console. Using HP Operations Manager i and the newly released OMi Management Pack for MongoDB, operations teams can now monitor the health of MongoDB and all their other IT components using a single Operations Bridge Console.
This first release of new OMi Management Pack for MongoDB provides out of the box capabilities to collect, monitor and visualize the critical availability and performance metrics of MongoDB instances.
- Collect and store critical availability and performance metrics
- Monitor the health and generate alerts
- Visualize the MongoDB topology, its dependencies, and its associated health
With this and other management packs, HP Operations Bridge v10.00 expands IT capabilities, providing the innovative power to analyze the state of IT resources.
HP Operations Bridge v10.00 provides predictive analytics out of the box. The metrics you capture from MongoDB monitoring and all other monitoring is brought to the single pane of glass for IT Operations Management. The metrics collected by the MongoDB management pack can then be fed to HP’s patented Predictive Analytics.
Customers using this integrated capability gain predictive alerts, which may save them hundreds of thousands of dollars by giving their operations teams an early warning alert before a service disruption impacts business users and revenues.
MongoDB monitoring data can also be analyzed in real time along with log files to uncover unpredicted and unknown events that otherwise would not have been tracked. HP Operations Analytics adds the lightning fast capabilities of Big Data analytics to enhance monitoring capabilities. Operators add the power of a “time machine” approach to their event driven analytics to search across the complex array of data sets monitoring provides. Some IT teams have gained as much as 72x improvement on MTTR, maximizing the ROI on their OMi Management packs.
HP Operations Bridge with the OMi Management Pack for MongoDB allows you to monitor your entire MongoDB deployment (and your entire IT ecosystem) from a single pane of glass. This integration between MongoDB and HP Operations Bridge will be further strengthened by integration with the Ops Manager API, which will offer additional comprehensive monitoring metrics and automation capabilities in the future.
Learn more and download the OMi Management Pack for MongoDB here.
Visit and explore other integrations with HP Operations Bridge here.
Interested in learning more about MongoDB Operations Best Practices? Read our white paper: