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4 Key ITSM Solutions

Dennis Rietvink

To stay competitive, organizations need to constantly evolve and improve all aspects of their businesses. They also have to engage measurable practices to ensure that all implemented changes are cost-effective and vital for their businesses.

ITSM, or IT Service Management, is a modern approach to planning, implementing and managing IT services of an agile, service-oriented organization. The practice is business, rather than technology-centered. IT services add the most value when they are in complete alignment with the needs of an organization. Otherwise, they impede a company's ability to react to market changes, put a strain on the budget, and, ultimately, result in dissatisfied customers and lost business opportunities.

The ability to measure progress and calculate ROI of IT projects is an important part of ITSM. Without a clear idea of project costs, organizations can't plan for the future and choose projects that would add the most strategic value at the lowest cost.

Organizations interested in implementing ITSM practices can follow the ITSM guidelines presented in three frameworks:

ITIL (Information Technology Infrastructure Library) consists of five books - Service Strategy, Service Design, Service Transition, Service Operation and Continual Service Improvement. The books are published to help organizations design, deploy, as well as measure the impact of their ITSM projects.

MOF (Microsoft Operations Framework) includes a number of guides to help design and deploy IT services in the most effective and affordable way. The guides break down the process into three phases - the Plan Phase, the Deliver Phase, and the Operate Phase.

COBIT (Control Objective for Information and Related Technology) offers guides on the ways to align IT objectives with business goals. It breaks down the process into four steps - Plan and Organize, Acquire and Implement, Deliver and Support, and Monitor and Evaluate.

ITSM frameworks are not dependent on one particular technology. The idea is to choose systems and applications that fit best the unique needs of each organization. The winning combination can include several products and services that deliver the best result at the lowest cost.

Some IT solutions can support a number of objectives of ITSM. A comprehensive infrastructure monitoring solution enables organizations to oversee in real time the performance of critical applications to ensure that all business processes are running smoothly.

Four key solutions that help deliver ITSM benefits include the following:

1. Distributed Application Monitoring

By monitoring groups of applications and processes, rather than individual components, an organization can get a better insight into its current business situation, since IT managers can instantly see how the monitored items are connected. The system can separate minor events that can wait to get fixed, from major accidents that require IT managers' immediate attention to prevent a major outage.

2. Notifications

Notifications can be forwarded to IT managers using email, IM, or SMS, ensuring that the right individuals are alerted about any potential problems right away.

3. Historical Data Collection

Historical Data Collection allows IT managers to generate reports on past events, analyze them, and draw conclusions to prevent similar problems from happening in the future.

4. End-user Monitoring

End-user Monitoring enables IT managers to ensure that the end users are not experiencing application performance issues.

ITSM practices can help organizations create flexible and productive IT environments aligned with each organization's unique business goals. There are a lot of solutions that offer a wealth of monitoring features to enable businesses to implement some of the basic principles of ITSM straight away.

Dennis Rietvink is Co-Founder and VP of Product Management at Savision

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People want to be doing more engaging work, yet their day often gets overrun by addressing urgent IT tickets. But thanks to advances in AI "vibe coding," where a user describes what they want in plain English and the AI turns it into working code, IT teams can automate ticketing workflows and offload much of that work. Password resets that used to take 5 minutes per request now get resolved automatically ...

Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...

Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

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Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

4 Key ITSM Solutions

Dennis Rietvink

To stay competitive, organizations need to constantly evolve and improve all aspects of their businesses. They also have to engage measurable practices to ensure that all implemented changes are cost-effective and vital for their businesses.

ITSM, or IT Service Management, is a modern approach to planning, implementing and managing IT services of an agile, service-oriented organization. The practice is business, rather than technology-centered. IT services add the most value when they are in complete alignment with the needs of an organization. Otherwise, they impede a company's ability to react to market changes, put a strain on the budget, and, ultimately, result in dissatisfied customers and lost business opportunities.

The ability to measure progress and calculate ROI of IT projects is an important part of ITSM. Without a clear idea of project costs, organizations can't plan for the future and choose projects that would add the most strategic value at the lowest cost.

Organizations interested in implementing ITSM practices can follow the ITSM guidelines presented in three frameworks:

ITIL (Information Technology Infrastructure Library) consists of five books - Service Strategy, Service Design, Service Transition, Service Operation and Continual Service Improvement. The books are published to help organizations design, deploy, as well as measure the impact of their ITSM projects.

MOF (Microsoft Operations Framework) includes a number of guides to help design and deploy IT services in the most effective and affordable way. The guides break down the process into three phases - the Plan Phase, the Deliver Phase, and the Operate Phase.

COBIT (Control Objective for Information and Related Technology) offers guides on the ways to align IT objectives with business goals. It breaks down the process into four steps - Plan and Organize, Acquire and Implement, Deliver and Support, and Monitor and Evaluate.

ITSM frameworks are not dependent on one particular technology. The idea is to choose systems and applications that fit best the unique needs of each organization. The winning combination can include several products and services that deliver the best result at the lowest cost.

Some IT solutions can support a number of objectives of ITSM. A comprehensive infrastructure monitoring solution enables organizations to oversee in real time the performance of critical applications to ensure that all business processes are running smoothly.

Four key solutions that help deliver ITSM benefits include the following:

1. Distributed Application Monitoring

By monitoring groups of applications and processes, rather than individual components, an organization can get a better insight into its current business situation, since IT managers can instantly see how the monitored items are connected. The system can separate minor events that can wait to get fixed, from major accidents that require IT managers' immediate attention to prevent a major outage.

2. Notifications

Notifications can be forwarded to IT managers using email, IM, or SMS, ensuring that the right individuals are alerted about any potential problems right away.

3. Historical Data Collection

Historical Data Collection allows IT managers to generate reports on past events, analyze them, and draw conclusions to prevent similar problems from happening in the future.

4. End-user Monitoring

End-user Monitoring enables IT managers to ensure that the end users are not experiencing application performance issues.

ITSM practices can help organizations create flexible and productive IT environments aligned with each organization's unique business goals. There are a lot of solutions that offer a wealth of monitoring features to enable businesses to implement some of the basic principles of ITSM straight away.

Dennis Rietvink is Co-Founder and VP of Product Management at Savision

Hot Topics

The Latest

People want to be doing more engaging work, yet their day often gets overrun by addressing urgent IT tickets. But thanks to advances in AI "vibe coding," where a user describes what they want in plain English and the AI turns it into working code, IT teams can automate ticketing workflows and offload much of that work. Password resets that used to take 5 minutes per request now get resolved automatically ...

Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...

Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...