MongoDB profiler is an internal tool that enables DBAs and developers to collect information about executed MongoDB requests.
Profiler has three levels:
0 – profile is off
1 – profiler collects information on slow requests
2 – profiler collects all information
For production purposes level 1 is what DBA needs. In general, it is best to set it to some reasonable SLA required threshold, like 1,000 milliseconds (1 second), etc.
Level 2 is best for development purposes to get a complete log of executed requests.
Below is the list of profile related commands:
# set profiling to level 1 capture requests with duration over 500 ms
db.setProfilingLevel(1,500)
#get current profiler level
db.getProfilingLevel()
# get current profiler settings
MongoDB Enterprise > db.getProfilingStatus()
{ "was" : 1, "slowms" : 500 }
To return operations slower than 500 milliseconds, run a query similar to the following:
db.system.profile.find( { millis : { $gt : 50 } } ).pretty()
Enteros UpBeat High Load Capture continuously captures history of executed mongodb requests across all collection as well as other mongo db, OS, SAN and other operational statistics across muliple systems.
When the spike is identified, it can be cross-correlated across MongoDB nodes and correlated with MongoDB requests. A detailed report is generated to pinpoint what requests are were active during the problem time.
Also, please check my presentation on MongoDB performance tuning
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
The Future of Financial RevOps: Enteros’ AIOps-Powered Framework for Precision Cost Estimation
- 8 December 2025
- Database Performance Management
Introduction The financial sector is undergoing a massive transformation driven by digital acceleration, regulatory pressure, cloud migration, AI adoption, and rising customer expectations. Banks, insurance companies, fintechs, and wealth management firms now operate in a hyper-competitive landscape where agility, accuracy, and operational efficiency determine long-term success. Within this environment, Revenue Operations (RevOps) has emerged as … Continue reading “The Future of Financial RevOps: Enteros’ AIOps-Powered Framework for Precision Cost Estimation”
What Technology Teams Gain from Enteros’ GenAI-Driven Database Performance and Cloud FinOps Intelligence
Introduction The technology sector is entering a new era—one where rapid innovation, distributed architectures, and cloud-native systems fuel unprecedented digital acceleration. Yet behind this momentum sits a challenge that every CTO, DevOps leader, and cloud architect knows all too well: how do you maintain high performance, manage cost efficiency, and ensure seamless database reliability across … Continue reading “What Technology Teams Gain from Enteros’ GenAI-Driven Database Performance and Cloud FinOps Intelligence”
What Retail Tech Teams Gain from Enteros’ AI-Driven Cost Estimation and Database Optimization Platform
- 7 December 2025
- Database Performance Management
Introduction The retail industry is undergoing one of the most aggressive digital evolutions in history. From omnichannel customer experiences and real-time inventory management to personalization engines and AI-driven demand forecasting, today’s retail IT environments are powered by complex, high-volume databases and cloud ecosystems. Behind every transaction, search query, delivery update, and loyalty personalization lies a … Continue reading “What Retail Tech Teams Gain from Enteros’ AI-Driven Cost Estimation and Database Optimization Platform”
How Enteros Transforms Banking IT: Database Optimization Powered by Cloud FinOps and RevOps Intelligence
Introduction The banking sector is undergoing rapid digital modernization. Customers expect real-time transactions, instant approvals, personalized insights, mobile-first experiences, and zero downtime. At the core of this digital revolution lies one essential asset: data. Modern banks now operate massive volumes of structured and unstructured data across core banking systems, digital payments, fraud detection engines, credit … Continue reading “How Enteros Transforms Banking IT: Database Optimization Powered by Cloud FinOps and RevOps Intelligence”