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ManageEngine Monitors Application Performance for Big Data and NoSQL

ManageEngine's on-premise application performance monitoring solution, Applications Manager, supports NoSQL technologies that drive Big Data.

Now, Applications Manager can monitor application performance and provide operational intelligence for the Apache Cassandra and the MongoDB NoSQL databases.

The ManageEngine solution also continues its existing support for traditional relational databases such as Oracle, MySQL and memcached.

As applications become more complex and distributed, many businesses are looking to exploit the benefits of NoSQL technologies such as Cassandra and MongoDB, which offer superior scalability and read/write performance when compared to traditional relational databases. However, these technologies can also increase the complexity of the applications they power, making it harder for IT operations teams to manage them. With Applications Manager, IT teams can proactively monitor the performance of Cassandra and MongoDB databases to ensure the applications based on those NoSQL databases perform as expected.

"NoSQL technologies are relatively new and expertise is hard to find, and that makes it difficult to ensure the performance of big data," said Gibu Mathew, director of product management at ManageEngine. "With out-of-the-box support for Apache Cassandra and MongoDB, Applications Manager can empower existing IT teams and make it easy for businesses to justify their investments in big data technologies."

Applications Manager enables comprehensive Cassandra performance monitoring and administration of all nodes in a cluster from a centralized console. The key performance metrics of Cassandra monitored by Applications Manager include heap size and usage, garbage collection, IO wait, cache hit rate and compaction count.

For MongoDB, the key performance metrics tracked by Applications Manager include memory utilization details, open connection statistics, CPU usage, database operation performance and latency, transaction details, response time, lock current queue and journaling statistics.

The support for MongoDB and Cassandra is complementary to the existing out-of-the-box support for 50+ apps such as memcached, Tomcat, JBoss and VMware.

ManageEngine Applications Manager

Download Applications Manager

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ManageEngine Monitors Application Performance for Big Data and NoSQL

ManageEngine's on-premise application performance monitoring solution, Applications Manager, supports NoSQL technologies that drive Big Data.

Now, Applications Manager can monitor application performance and provide operational intelligence for the Apache Cassandra and the MongoDB NoSQL databases.

The ManageEngine solution also continues its existing support for traditional relational databases such as Oracle, MySQL and memcached.

As applications become more complex and distributed, many businesses are looking to exploit the benefits of NoSQL technologies such as Cassandra and MongoDB, which offer superior scalability and read/write performance when compared to traditional relational databases. However, these technologies can also increase the complexity of the applications they power, making it harder for IT operations teams to manage them. With Applications Manager, IT teams can proactively monitor the performance of Cassandra and MongoDB databases to ensure the applications based on those NoSQL databases perform as expected.

"NoSQL technologies are relatively new and expertise is hard to find, and that makes it difficult to ensure the performance of big data," said Gibu Mathew, director of product management at ManageEngine. "With out-of-the-box support for Apache Cassandra and MongoDB, Applications Manager can empower existing IT teams and make it easy for businesses to justify their investments in big data technologies."

Applications Manager enables comprehensive Cassandra performance monitoring and administration of all nodes in a cluster from a centralized console. The key performance metrics of Cassandra monitored by Applications Manager include heap size and usage, garbage collection, IO wait, cache hit rate and compaction count.

For MongoDB, the key performance metrics tracked by Applications Manager include memory utilization details, open connection statistics, CPU usage, database operation performance and latency, transaction details, response time, lock current queue and journaling statistics.

The support for MongoDB and Cassandra is complementary to the existing out-of-the-box support for 50+ apps such as memcached, Tomcat, JBoss and VMware.

ManageEngine Applications Manager

Download Applications Manager

The Latest

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

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In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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