Skip to main content

Sumo Logic App for MongoDB Released

Sumo Logic announced the availability of its Sumo Logic App for MongoDB to provide an in-depth view into the operational health and performance of MongoDB deployments.

This visibility enables the flexibility to monitor, optimize and secure modern applications powered by modern database engines that today’s digital businesses require.

With the Sumo Logic App for MongoDB, users can gain global oversight of their complete application infrastructure from a single interface. Issues that risk affecting customer experience can be quickly identified and isolated to specific components – whether attributable to devices, hardware infrastructure, networks, APIs, application code, databases and more. The new integration also helps speed application development and deployment for modern software delivery lifecycles.

Sumo Logic’s cloud-native machine data analytics platform delivers real-time, continuous intelligence across the entire application lifecycle and stack enabling organizations to build, run and secure their modern applications. As one of the fastest growing databases in the world, MongoDB enables modern applications with near instant access to data that is essential in the day-to-day running of successful digital businesses. The new integration with MongoDB’s NoSQL database – which allows users to rapidly store and access massive volumes of structured and unstructured data in a scalable way – will provide deep visibility into MongoDB deployments, alongside the rest of the technology stack. The Sumo Logic App for MongoDB is simple to set up and achieve efficiency out of the box, giving developers working with complex large-scale deployments access to:

- Operational Insights: Developers can receive a complete overview of their application and MongoDB deployment on a single dashboard. Users can monitor the overall health of their deployment, with deeper visibility into operational performance, security and query optimization to support complex deployments pinpointing problems to enable deep understanding of issues in the larger context of the entire application stack.

- Integrated with Operational Tooling: If the operations team needs finer grained telemetry into MongoDB, they can drill down into the 100+ system metrics maintained by MongoDB Ops Manager and Cloud Manager.

- Security Monitoring: Mitigate security threats by identifying issues with failed logins and geo-location of clients using the Sumo Logic App for MongoDB.

“The shift to the cloud has created an opportunity for companies such as Sumo Logic and MongoDB to capitalize on the complex and changing requirements of mission-critical applications,” said Alan Chhabra, VP of Partners at MongoDB. “We are excited about the Sumo Logic App for MongoDB as it further deepens the ecosystem for our customers to ensure the health of their cloud infrastructure.”

Sumo Logic provides real-time monitoring, troubleshooting and root cause analysis and advanced analytics through machine learning to identify patterns and anomalies so developers can uncover problems and predict potential issues before they impact customers.

“Today’s IT teams are struggling with getting a deep, holistic view into the health of their database deployments, so they can more monitor performance, diagnose problems and audit access to identify potential risks,” said Bruno Kurtic, founding VP of Product and Strategy. “The Sumo Logic App for MongoDB provides a modern solution built on machine data analytics that integrates with MongoDB environments to provide actionable intelligence in a unified, content-aware view across all applications and supporting infrastructure.”

The Sumo Logic App for MongoDB is available for free to all Sumo Logic customers.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

Sumo Logic App for MongoDB Released

Sumo Logic announced the availability of its Sumo Logic App for MongoDB to provide an in-depth view into the operational health and performance of MongoDB deployments.

This visibility enables the flexibility to monitor, optimize and secure modern applications powered by modern database engines that today’s digital businesses require.

With the Sumo Logic App for MongoDB, users can gain global oversight of their complete application infrastructure from a single interface. Issues that risk affecting customer experience can be quickly identified and isolated to specific components – whether attributable to devices, hardware infrastructure, networks, APIs, application code, databases and more. The new integration also helps speed application development and deployment for modern software delivery lifecycles.

Sumo Logic’s cloud-native machine data analytics platform delivers real-time, continuous intelligence across the entire application lifecycle and stack enabling organizations to build, run and secure their modern applications. As one of the fastest growing databases in the world, MongoDB enables modern applications with near instant access to data that is essential in the day-to-day running of successful digital businesses. The new integration with MongoDB’s NoSQL database – which allows users to rapidly store and access massive volumes of structured and unstructured data in a scalable way – will provide deep visibility into MongoDB deployments, alongside the rest of the technology stack. The Sumo Logic App for MongoDB is simple to set up and achieve efficiency out of the box, giving developers working with complex large-scale deployments access to:

- Operational Insights: Developers can receive a complete overview of their application and MongoDB deployment on a single dashboard. Users can monitor the overall health of their deployment, with deeper visibility into operational performance, security and query optimization to support complex deployments pinpointing problems to enable deep understanding of issues in the larger context of the entire application stack.

- Integrated with Operational Tooling: If the operations team needs finer grained telemetry into MongoDB, they can drill down into the 100+ system metrics maintained by MongoDB Ops Manager and Cloud Manager.

- Security Monitoring: Mitigate security threats by identifying issues with failed logins and geo-location of clients using the Sumo Logic App for MongoDB.

“The shift to the cloud has created an opportunity for companies such as Sumo Logic and MongoDB to capitalize on the complex and changing requirements of mission-critical applications,” said Alan Chhabra, VP of Partners at MongoDB. “We are excited about the Sumo Logic App for MongoDB as it further deepens the ecosystem for our customers to ensure the health of their cloud infrastructure.”

Sumo Logic provides real-time monitoring, troubleshooting and root cause analysis and advanced analytics through machine learning to identify patterns and anomalies so developers can uncover problems and predict potential issues before they impact customers.

“Today’s IT teams are struggling with getting a deep, holistic view into the health of their database deployments, so they can more monitor performance, diagnose problems and audit access to identify potential risks,” said Bruno Kurtic, founding VP of Product and Strategy. “The Sumo Logic App for MongoDB provides a modern solution built on machine data analytics that integrates with MongoDB environments to provide actionable intelligence in a unified, content-aware view across all applications and supporting infrastructure.”

The Sumo Logic App for MongoDB is available for free to all Sumo Logic customers.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...