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New Requirements for Performance Management Vendors

Gabriel Lowy

Legacy performance management solutions were architected for smaller, less-complex and static computing environments that did not change much from year-to-year. When all an IT team had to worry about was measuring infrastructure availability and utilization these tools were sufficient. But time has passed them by.

Download the White Paper

As businesses become increasingly software-defined – and with the Internet of Things (IoT) on the near horizon – the pace of change has accelerated. Virtualization, agile development, cloud and mobility have given rise to modern globally distributed architectures and applications that result in an unprecedented level of scale, complexity and dynamism.

Modern applications have far greater connections points between the end user and the data center. They leverage shared services and compute resources that are managed centrally but may be controlled by either the enterprise or by external providers. However, many third-party cloud services are opaque, providing little visibility into the overall health of the compute infrastructure. These performance challenges extend to SaaS applications, which continue to proliferate within the enterprise.

Network and application performance issues have grown dramatically as these trends converge. This has caused more components of the application delivery chain to be obscured from IT and line of business owners. Poor performance issues increase the risk of user frustration.

Modern computing environments are driving a much greater need for end-to-end visibility. Availability and utilization metrics alone are no longer enough to understand infrastructure and application health and performance. Instead, IT teams must shift their focus from fault management and utilization to performance-based management in order to deliver better services consistently.

Widespread adoption of virtualization technologies and associated virtual machine migration, balancing between public, hybrid and private cloud environments and the traffic explosion of latency-sensitive applications such as market data, streaming video and voice-over-IP create new requirements for IT to achieve faster-time-to-value. Enterprises want to mitigate risk involved with new application rollouts, data center consolidation or physical-to-virtual migrations while ensuring consistent application performance that meets users’ expectations.

A New Generation of Performance Management Solutions

More enterprises have recognized the need for a new generation of performance management solutions that go beyond the scope of legacy monitoring tools to cut through this complexity. Modern tools should automatically detect and monitor all network assets, whether they are deployed on-premises, in the cloud or in hybrid environments. They should allow administrators to focus on higher-value tasks rather than on constantly watching the infrastructure and all connected systems.

Enterprises today have the following requirements for a next-generation performance management solution:

Easy-to-install; easy-to-use: For faster time to value, customers want solutions that work automatically after a simple installation without the need for professional services.

Fully-integrated views across multiple platforms: A unified view of metric, flow and time-stamped log data is valued for eliminating “swivel-chair monitoring” across disparate tools.

Rapidly scalable for all network devices, including non-SNMP: As the industry moves away from just supporting standard protocols like SNMP, a next-generation platform should intuitively scale to collect and store non-standard performance metrics from third-party sources.

Granularity of data: More enterprises are requiring high-frequency polling to allow second-by-second views of performance data.

Traps, alarms and alerts management: Real-time solutions can automatically baseline network performance for more meaningful and proactive monitoring. A unified platform also lets them consolidate conflicting consoles and alerts, further reducing the number of false positives while acceleration mean time to repair (MTTR).

Achieve business ROI and risk management objectives at lower TCO: Proactive analysis and troubleshooting help IT teams avoid service interruptions and outages, which can negatively impact business and expose the company to penalties. The increased automation in next-generation monitoring solutions reduces TCO while enabling IT to help business units improve outcomes and financial results

These products can help control costs, mitigate risk and enable faster time to value by enabling IT to positively impact the business. A modern-day solution should provide unified views of all data – including performance metrics, data flows and logs – to meet these new requirements. Enterprises can retire legacy server and application monitoring and reporting tools, saving unnecessary maintenance and operations costs.

A next-generation performance management platform enables customers to gain insights into understanding how their infrastructure is supporting core services. As a result, IT can better align with corporate objectives by improving business outcomes and financial performance.

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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 ...

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New Requirements for Performance Management Vendors

Gabriel Lowy

Legacy performance management solutions were architected for smaller, less-complex and static computing environments that did not change much from year-to-year. When all an IT team had to worry about was measuring infrastructure availability and utilization these tools were sufficient. But time has passed them by.

Download the White Paper

As businesses become increasingly software-defined – and with the Internet of Things (IoT) on the near horizon – the pace of change has accelerated. Virtualization, agile development, cloud and mobility have given rise to modern globally distributed architectures and applications that result in an unprecedented level of scale, complexity and dynamism.

Modern applications have far greater connections points between the end user and the data center. They leverage shared services and compute resources that are managed centrally but may be controlled by either the enterprise or by external providers. However, many third-party cloud services are opaque, providing little visibility into the overall health of the compute infrastructure. These performance challenges extend to SaaS applications, which continue to proliferate within the enterprise.

Network and application performance issues have grown dramatically as these trends converge. This has caused more components of the application delivery chain to be obscured from IT and line of business owners. Poor performance issues increase the risk of user frustration.

Modern computing environments are driving a much greater need for end-to-end visibility. Availability and utilization metrics alone are no longer enough to understand infrastructure and application health and performance. Instead, IT teams must shift their focus from fault management and utilization to performance-based management in order to deliver better services consistently.

Widespread adoption of virtualization technologies and associated virtual machine migration, balancing between public, hybrid and private cloud environments and the traffic explosion of latency-sensitive applications such as market data, streaming video and voice-over-IP create new requirements for IT to achieve faster-time-to-value. Enterprises want to mitigate risk involved with new application rollouts, data center consolidation or physical-to-virtual migrations while ensuring consistent application performance that meets users’ expectations.

A New Generation of Performance Management Solutions

More enterprises have recognized the need for a new generation of performance management solutions that go beyond the scope of legacy monitoring tools to cut through this complexity. Modern tools should automatically detect and monitor all network assets, whether they are deployed on-premises, in the cloud or in hybrid environments. They should allow administrators to focus on higher-value tasks rather than on constantly watching the infrastructure and all connected systems.

Enterprises today have the following requirements for a next-generation performance management solution:

Easy-to-install; easy-to-use: For faster time to value, customers want solutions that work automatically after a simple installation without the need for professional services.

Fully-integrated views across multiple platforms: A unified view of metric, flow and time-stamped log data is valued for eliminating “swivel-chair monitoring” across disparate tools.

Rapidly scalable for all network devices, including non-SNMP: As the industry moves away from just supporting standard protocols like SNMP, a next-generation platform should intuitively scale to collect and store non-standard performance metrics from third-party sources.

Granularity of data: More enterprises are requiring high-frequency polling to allow second-by-second views of performance data.

Traps, alarms and alerts management: Real-time solutions can automatically baseline network performance for more meaningful and proactive monitoring. A unified platform also lets them consolidate conflicting consoles and alerts, further reducing the number of false positives while acceleration mean time to repair (MTTR).

Achieve business ROI and risk management objectives at lower TCO: Proactive analysis and troubleshooting help IT teams avoid service interruptions and outages, which can negatively impact business and expose the company to penalties. The increased automation in next-generation monitoring solutions reduces TCO while enabling IT to help business units improve outcomes and financial results

These products can help control costs, mitigate risk and enable faster time to value by enabling IT to positively impact the business. A modern-day solution should provide unified views of all data – including performance metrics, data flows and logs – to meet these new requirements. Enterprises can retire legacy server and application monitoring and reporting tools, saving unnecessary maintenance and operations costs.

A next-generation performance management platform enables customers to gain insights into understanding how their infrastructure is supporting core services. As a result, IT can better align with corporate objectives by improving business outcomes and financial performance.

Hot Topics

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 ...

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