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ScienceLogic Releases EM7 Version 7.1

Extending Centralized Virtualization and Cloud Management Capabilities

ScienceLogic has released EM7 version 7.1, a new version of its IT operations and cloud management platform, to help organizations centrally manage heterogeneous physical, virtual and cloud environments and easily incorporate new applications and the latest-generation technologies into their IT operations.

ScienceLogic EM7 version 7.1 introduces Dynamic Component Mapping to proactively manage constantly changing virtualized infrastructures and complex systems, such as VMware and Cisco Unified Computing System (UCS), being deployed in modern distributed data centers.

ScienceLogic EM7 Dynamic Component Mapping is a powerful mechanism that automatically discovers, maps and monitors all the components in integrated systems, including Cisco UCS and virtualized server infrastructures such as VMware vCenter/ESXi, and the dynamic relationships between them. This capability addresses the need to maintain visibility into complex systems to ensure uptime of end-user services and predict potential problems.

Dynamic Component Mapping discovers the entire range of component devices from a single interface, such as Cisco UCS Manager or VMware vCenter, and generates an easy-to-understand visual representation of the tree hierarchy. Furthermore, with ScienceLogic EM7, context-sensitive performance and configuration policies may be nimbly applied to each component in the tree and events are correlated to the relevant components.

ScienceLogic EM7 also automatically updates the relationships between components and systems when changes occur. For example, EM7 will discover a newly provisioned VMware hypervisor running on a previously modeled Cisco UCS blade and automatically extend the map to show the hypervisor and virtual machines linked to UCS. Another example would be the discovery and re-mapping of a Linux virtual machine that is moved by VMware vMotion from one ESX server to another. With the ability to discover relationships from a single query, Dynamic Component Mapping's impact on discovered systems is minimal.

In addition, the ScienceLogic unique template-based approach to Dynamic Component Mapping enables customers and partners to easily modify or extend any aspect of the management themselves to support new features in target systems as soon as they are available, without having to wait for the vendor to develop new code. EM7 further enriches the maps with additional analytics gathered from its myriad collection methods, such as application data captured via Windows Management Instrumentation (WMI) on a virtual machine running on a hypervisor.

ScienceLogic EM7 version 7.1 also adds support for customers to actively manage Amazon Web Services (AWS), GoGrid, and RackSpace cloud environments through their native APIs or via CloudKick's monitoring service. This provides views into metrics that include instance inventory, CPU or network performance, operational status, security groups, and disk volumes as well as the estimated total operational cost for each AWS instance.

In addition to helping customers monitor their public cloud vendor's performance and watch costs, this information will help them ensure efficient utilization of the cloud resources, track and assess usage patterns to determine growth directions, and spot anomalous usage of the cloud infrastructure.

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ScienceLogic Releases EM7 Version 7.1

Extending Centralized Virtualization and Cloud Management Capabilities

ScienceLogic has released EM7 version 7.1, a new version of its IT operations and cloud management platform, to help organizations centrally manage heterogeneous physical, virtual and cloud environments and easily incorporate new applications and the latest-generation technologies into their IT operations.

ScienceLogic EM7 version 7.1 introduces Dynamic Component Mapping to proactively manage constantly changing virtualized infrastructures and complex systems, such as VMware and Cisco Unified Computing System (UCS), being deployed in modern distributed data centers.

ScienceLogic EM7 Dynamic Component Mapping is a powerful mechanism that automatically discovers, maps and monitors all the components in integrated systems, including Cisco UCS and virtualized server infrastructures such as VMware vCenter/ESXi, and the dynamic relationships between them. This capability addresses the need to maintain visibility into complex systems to ensure uptime of end-user services and predict potential problems.

Dynamic Component Mapping discovers the entire range of component devices from a single interface, such as Cisco UCS Manager or VMware vCenter, and generates an easy-to-understand visual representation of the tree hierarchy. Furthermore, with ScienceLogic EM7, context-sensitive performance and configuration policies may be nimbly applied to each component in the tree and events are correlated to the relevant components.

ScienceLogic EM7 also automatically updates the relationships between components and systems when changes occur. For example, EM7 will discover a newly provisioned VMware hypervisor running on a previously modeled Cisco UCS blade and automatically extend the map to show the hypervisor and virtual machines linked to UCS. Another example would be the discovery and re-mapping of a Linux virtual machine that is moved by VMware vMotion from one ESX server to another. With the ability to discover relationships from a single query, Dynamic Component Mapping's impact on discovered systems is minimal.

In addition, the ScienceLogic unique template-based approach to Dynamic Component Mapping enables customers and partners to easily modify or extend any aspect of the management themselves to support new features in target systems as soon as they are available, without having to wait for the vendor to develop new code. EM7 further enriches the maps with additional analytics gathered from its myriad collection methods, such as application data captured via Windows Management Instrumentation (WMI) on a virtual machine running on a hypervisor.

ScienceLogic EM7 version 7.1 also adds support for customers to actively manage Amazon Web Services (AWS), GoGrid, and RackSpace cloud environments through their native APIs or via CloudKick's monitoring service. This provides views into metrics that include instance inventory, CPU or network performance, operational status, security groups, and disk volumes as well as the estimated total operational cost for each AWS instance.

In addition to helping customers monitor their public cloud vendor's performance and watch costs, this information will help them ensure efficient utilization of the cloud resources, track and assess usage patterns to determine growth directions, and spot anomalous usage of the cloud infrastructure.

The Latest

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 ...

Image
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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...