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7 Steps to Comprehensive Monitoring for Web Performance

Dirk Paessler

Many companies are dependent on a high-performing, available website to conduct business. Whether it's an online store, a landing page for customer acquisition or online support, web performance is critical to business success. Downtime means lost dollars, and long-term problems can put the business at serious risk. Some estimates have put the cost of downtime and outages into the hundreds of billions per year.

IT departments often try to protect against downtime by focusing on the web application. Monitoring web application's performance helps identify malfunctions and their cause on a code level, so that the DevOps team can solve the problem. But, monitoring application performance only protects against application errors and ignores external factors such as network traffic, hardware, connectivity issues or bandwidth usage, all of which can have an impact performance and availability of a website.

When website performance is poor, any individual component can be responsible. Worse, the search for the root cause can be time consuming and difficult. The best way for IT departments to approach this specific problem, therefore, is not to focus on which point solutions solve specific problems, but to engage in preventative maintenance of all systems. If the systems administrator constantly monitors all of the components involved in a website process, they can baseline normal patterns and set ranges that alert to anomalous behavior.

Collecting that type of data is extremely useful in anticipating issues and identifying them before they become problems. The main goal for IT in this instance is not to establish efficient backup and recovery processes, but instead, to prevent the types of issues that lead to failures and outages altogether. Additionally, over time administrators can optimize systems and process based on historical data, which only increases the resiliency of the website and enhances overall performance.

Administrators looking to monitor website health performance in a more holistic way need to find a solution that can comprehensively monitor all aspects of the IT environment. To monitor the website end-to-end, IT would have to take the following steps:

1. Website monitoring via ping

2. Monitoring page load times

3. Web server monitoring (Microsoft Internet Information Services IIS, Apache, nginx)

4. Transaction monitoring

5. Out-of-box monitoring of common devices and applications, such as servers, switches, routers, databases and firewalls

6. Support of standard protocols for monitoring data streams such as SNMP, NetFlow and Packet Sniffing

7. Monitor virtual applications

If an administrator can put in place a comprehensive monitoring strategy that can track every aspect of the website process, they will be able to identify issues before they become problems, decrease downtime, and protect a mission-critical business process.

Dirk Paessler is CEO and Founder of Paessler AG.

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Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

7 Steps to Comprehensive Monitoring for Web Performance

Dirk Paessler

Many companies are dependent on a high-performing, available website to conduct business. Whether it's an online store, a landing page for customer acquisition or online support, web performance is critical to business success. Downtime means lost dollars, and long-term problems can put the business at serious risk. Some estimates have put the cost of downtime and outages into the hundreds of billions per year.

IT departments often try to protect against downtime by focusing on the web application. Monitoring web application's performance helps identify malfunctions and their cause on a code level, so that the DevOps team can solve the problem. But, monitoring application performance only protects against application errors and ignores external factors such as network traffic, hardware, connectivity issues or bandwidth usage, all of which can have an impact performance and availability of a website.

When website performance is poor, any individual component can be responsible. Worse, the search for the root cause can be time consuming and difficult. The best way for IT departments to approach this specific problem, therefore, is not to focus on which point solutions solve specific problems, but to engage in preventative maintenance of all systems. If the systems administrator constantly monitors all of the components involved in a website process, they can baseline normal patterns and set ranges that alert to anomalous behavior.

Collecting that type of data is extremely useful in anticipating issues and identifying them before they become problems. The main goal for IT in this instance is not to establish efficient backup and recovery processes, but instead, to prevent the types of issues that lead to failures and outages altogether. Additionally, over time administrators can optimize systems and process based on historical data, which only increases the resiliency of the website and enhances overall performance.

Administrators looking to monitor website health performance in a more holistic way need to find a solution that can comprehensively monitor all aspects of the IT environment. To monitor the website end-to-end, IT would have to take the following steps:

1. Website monitoring via ping

2. Monitoring page load times

3. Web server monitoring (Microsoft Internet Information Services IIS, Apache, nginx)

4. Transaction monitoring

5. Out-of-box monitoring of common devices and applications, such as servers, switches, routers, databases and firewalls

6. Support of standard protocols for monitoring data streams such as SNMP, NetFlow and Packet Sniffing

7. Monitor virtual applications

If an administrator can put in place a comprehensive monitoring strategy that can track every aspect of the website process, they will be able to identify issues before they become problems, decrease downtime, and protect a mission-critical business process.

Dirk Paessler is CEO and Founder of Paessler AG.

Hot Topics

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...