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ManageEngine Expands Big Data Monitoring to Hadoop

ManageEngine announced the availability of performance monitoring for new big data platforms, such as Hadoop and Oracle Coherence, in Applications Manager, its application performance monitoring solution.

The move enables IT operations teams in enterprises to gain operational intelligence into big data platforms such as Hadoop and Oracle Coherence as well as the business-critical applications relying on these platforms.

"Monitoring big data systems goes beyond the traditional APM approach and requires a deeper understanding of the entire SaaS stack," said Dev Anand, director of product management at ManageEngine. "Backed by our experience with Zoho's online services, we were able to tune Applications Manager to provide insight at the application, database and file levels."

Hadoop is an open source framework for distributed storing and processing of big data on large clusters of commodity hardware. Applications Manager enables comprehensive performance monitoring of Hadoop clusters to minimize downtime and performance degradation as well as take corrective action proactively before any problems arise. The key performance indicators of Hadoop monitored by Applications Manager include those pertaining to the Hadoop Distributed File System (HDFS), TaskTrackers/NodeManagers, jobs/applications, files and directories, and blocks.

Oracle Coherence is an in-memory grid and distributed caching solution that enables enterprises to scale mission-critical applications. Applications Manager's monitoring support for Oracle Coherence provides deep insights into the health and performance of Coherence clusters and facilitates rapid troubleshooting of issues. The key performance metrics of Oracle Coherence monitored by Applications Manager include those related to clusters, partition assignment, distributed and replicated services, Extend Connection, Extend Services, and distributed and replicated node memory details.

Among its many benefits, Hadoop and Oracle Coherence monitoring in Applications Manager helps IT personnel:

- Gain a 360-degree view into the performance of Hadoop and Oracle Coherence clusters, the applications that rely on them, and the associated infrastructure components.

- Get proactive alerts on a wide array of error conditions and faults. Diagnose and repair performance issues faster and keep critical applications up and running.

- Monitor resource utilization to ensure critical workloads do not run out of resources. Make informed decisions on capacity planning to handle the increasing size and complexity of applications.

- Assess the value delivered by big data processes to the enterprise.

The support for Hadoop and Oracle Coherence is complementary to the existing out-of-the-box support for 80+ applications and infrastructure components, including other big data/NoSQL technologies such as Cassandra, MongoDB, Redis, Memcached and Couchbase.

Applications Manager 12.7 is available immediately.

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ManageEngine Expands Big Data Monitoring to Hadoop

ManageEngine announced the availability of performance monitoring for new big data platforms, such as Hadoop and Oracle Coherence, in Applications Manager, its application performance monitoring solution.

The move enables IT operations teams in enterprises to gain operational intelligence into big data platforms such as Hadoop and Oracle Coherence as well as the business-critical applications relying on these platforms.

"Monitoring big data systems goes beyond the traditional APM approach and requires a deeper understanding of the entire SaaS stack," said Dev Anand, director of product management at ManageEngine. "Backed by our experience with Zoho's online services, we were able to tune Applications Manager to provide insight at the application, database and file levels."

Hadoop is an open source framework for distributed storing and processing of big data on large clusters of commodity hardware. Applications Manager enables comprehensive performance monitoring of Hadoop clusters to minimize downtime and performance degradation as well as take corrective action proactively before any problems arise. The key performance indicators of Hadoop monitored by Applications Manager include those pertaining to the Hadoop Distributed File System (HDFS), TaskTrackers/NodeManagers, jobs/applications, files and directories, and blocks.

Oracle Coherence is an in-memory grid and distributed caching solution that enables enterprises to scale mission-critical applications. Applications Manager's monitoring support for Oracle Coherence provides deep insights into the health and performance of Coherence clusters and facilitates rapid troubleshooting of issues. The key performance metrics of Oracle Coherence monitored by Applications Manager include those related to clusters, partition assignment, distributed and replicated services, Extend Connection, Extend Services, and distributed and replicated node memory details.

Among its many benefits, Hadoop and Oracle Coherence monitoring in Applications Manager helps IT personnel:

- Gain a 360-degree view into the performance of Hadoop and Oracle Coherence clusters, the applications that rely on them, and the associated infrastructure components.

- Get proactive alerts on a wide array of error conditions and faults. Diagnose and repair performance issues faster and keep critical applications up and running.

- Monitor resource utilization to ensure critical workloads do not run out of resources. Make informed decisions on capacity planning to handle the increasing size and complexity of applications.

- Assess the value delivered by big data processes to the enterprise.

The support for Hadoop and Oracle Coherence is complementary to the existing out-of-the-box support for 80+ applications and infrastructure components, including other big data/NoSQL technologies such as Cassandra, MongoDB, Redis, Memcached and Couchbase.

Applications Manager 12.7 is available immediately.

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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 ...

Image
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 ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

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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