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ManageEngine Releases Applications Manager 14.5 with Support for Oracle Autonomous Database

ManageEngine, the IT management division of Zoho Corporation, announced Applications Manager 14.5 — and its server, cloud, and application performance monitoring solution now support Oracle Autonomous Database.

This enables enterprise IT operations teams and cloud database administrators (DBAs) to gain visibility into the health and performance of every Oracle Autonomous Database instance in their fleet. Extensive support for both online transaction processing and data warehousing configurations help ensure optimal performance and enable DBAs to focus on business-critical tasks.

Oracle Autonomous Database has gained notable traction since its arrival last year, owing to its agility and support for even the most demanding applications. End users can leverage self-driving, self-repairing, and self-securing capabilities of Oracle Autonomous Database to reduce dependency on manual intervention, strengthen data security and drive scalability.

Oracle Autonomous Database automates several administration tasks, however it is vital to keep track of its performance, as issues related to application or external components that make up the application ecosystem can still impact application response times and availability for end users.

"As more business teams deploy Oracle Autonomous Database instances, IT teams and DBAs face the challenge of understanding what's been deployed, and what's in use across the organization as a whole," said Mathivanan Venkatachalam, VP at ManageEngine. "What businesses need is a warning system that lets them know about problems with business-critical workloads as they arise. Applications Manager provides proactive, end-to-end monitoring for admins to help them identify performance bottlenecks resulting from poorly-written application SQL code, abnormal workloads, invalid user connections and more."

Proactively Monitor Oracle Autonomous Database Metrics

Applications Manager's Oracle Autonomous Database performance monitoring capabilities enables admins to ensure high availability for workloads. It also correlates and resolves performance issues across every database entity. Applications Manager enables monitoring of sessions, processes, tablespace, connections, errors and other key Oracle Autonomous Database metrics.

Applications Manager's extensive support for the autonomous database enables database administrators to:

- Streamline Oracle Autonomous Database management by gaining comprehensive insights into key database performance indicators.

- Significantly improve database performance by drilling down to the root cause of issues and automating remedial actions before those issues affect end users.

- Auto-scale resource provisioning with just a click; forecast growth and resource utilization trends with machine learning-enabled analytics.

Applications Manager version 14.5 with support for Oracle Autonomous Database monitoring is available now.

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ManageEngine Releases Applications Manager 14.5 with Support for Oracle Autonomous Database

ManageEngine, the IT management division of Zoho Corporation, announced Applications Manager 14.5 — and its server, cloud, and application performance monitoring solution now support Oracle Autonomous Database.

This enables enterprise IT operations teams and cloud database administrators (DBAs) to gain visibility into the health and performance of every Oracle Autonomous Database instance in their fleet. Extensive support for both online transaction processing and data warehousing configurations help ensure optimal performance and enable DBAs to focus on business-critical tasks.

Oracle Autonomous Database has gained notable traction since its arrival last year, owing to its agility and support for even the most demanding applications. End users can leverage self-driving, self-repairing, and self-securing capabilities of Oracle Autonomous Database to reduce dependency on manual intervention, strengthen data security and drive scalability.

Oracle Autonomous Database automates several administration tasks, however it is vital to keep track of its performance, as issues related to application or external components that make up the application ecosystem can still impact application response times and availability for end users.

"As more business teams deploy Oracle Autonomous Database instances, IT teams and DBAs face the challenge of understanding what's been deployed, and what's in use across the organization as a whole," said Mathivanan Venkatachalam, VP at ManageEngine. "What businesses need is a warning system that lets them know about problems with business-critical workloads as they arise. Applications Manager provides proactive, end-to-end monitoring for admins to help them identify performance bottlenecks resulting from poorly-written application SQL code, abnormal workloads, invalid user connections and more."

Proactively Monitor Oracle Autonomous Database Metrics

Applications Manager's Oracle Autonomous Database performance monitoring capabilities enables admins to ensure high availability for workloads. It also correlates and resolves performance issues across every database entity. Applications Manager enables monitoring of sessions, processes, tablespace, connections, errors and other key Oracle Autonomous Database metrics.

Applications Manager's extensive support for the autonomous database enables database administrators to:

- Streamline Oracle Autonomous Database management by gaining comprehensive insights into key database performance indicators.

- Significantly improve database performance by drilling down to the root cause of issues and automating remedial actions before those issues affect end users.

- Auto-scale resource provisioning with just a click; forecast growth and resource utilization trends with machine learning-enabled analytics.

Applications Manager version 14.5 with support for Oracle Autonomous Database monitoring is available now.

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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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