7 Steps to Comprehensive Monitoring for Web Performance
February 15, 2017

Dirk Paessler
Paessler AG

Share this

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.

Share this

The Latest

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...

November 05, 2024

The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...

November 04, 2024

Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...

November 01, 2024

Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...

October 31, 2024

Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...

October 30, 2024

On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...

October 29, 2024

Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...

October 28, 2024

Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...