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Everything is Green but Users are Complaining. What's Your Next Move?

Chris Siakos

This is a classic scenario which continues to plague Network, Application and IT leaderships teams. The toolsets tell a good story showing "green" yet the complaints keep coming. Lots of questions, very few answers!

The network team is typically the first to get blamed and the default mode is to prove its innocence. Meanwhile leadership continues to receive complaints, and back and forth troubleshooting communications between network and app teams consume valuable and smart human capital for days. We're all aware of the technical intra-company and inter-company relationship debt that these situations bring with them. Is there sufficient collaboration to make sure everyone is on the same page?

While teams frantically drive towards problem detection, user complaints all of a sudden stop for no apparent reason and life continues until the next performance event. If problem detection drags on for days, users lose faith in the IT organization and stop complaining. How can you analyze data in real-time and win back their confidence?

Many of these challenges stem from loosely inferring user experience levels by looking at network performance (NPMD) tools and cobbling together data from a variety of different tools. Teams are inundated with telemetry data which not only prove pointless for this problem but makes their job even harder. What about the APM or vendor-specific application monitoring tools? Great tools to monitor performance within the application — what about the network and the end users?

Then we have the move to the cloud — Yet Another Tool for Cloud Monitoring? The "swivel chair effect" goes to a whole new level. If you're thinking that there is a gap somewhere which hinders speed to detecting user experience issues then you're right. It's a gap that's about to get bigger.

We call this the "application intelligence" gap. This is the intelligence gap between network, application and cloud which makes performance problem detection very challenging and expensive. When users complain about application experience, what do you do? Is the problem with the network, the application or the cloud?

Detecting and diagnosing end-to-end user experience issues is hard and gets harder with cloud and serverless computing. Establishing the right foundation starts with bringing Network, Application and Cloud teams together on a common framework. A framework that provides operational performance intelligence to show what matters very quickly so teams can detect fast, predict and avoid performance issues and focus on what they do best. Are you ready to break the silos and foster collaboration?

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Everything is Green but Users are Complaining. What's Your Next Move?

Chris Siakos

This is a classic scenario which continues to plague Network, Application and IT leaderships teams. The toolsets tell a good story showing "green" yet the complaints keep coming. Lots of questions, very few answers!

The network team is typically the first to get blamed and the default mode is to prove its innocence. Meanwhile leadership continues to receive complaints, and back and forth troubleshooting communications between network and app teams consume valuable and smart human capital for days. We're all aware of the technical intra-company and inter-company relationship debt that these situations bring with them. Is there sufficient collaboration to make sure everyone is on the same page?

While teams frantically drive towards problem detection, user complaints all of a sudden stop for no apparent reason and life continues until the next performance event. If problem detection drags on for days, users lose faith in the IT organization and stop complaining. How can you analyze data in real-time and win back their confidence?

Many of these challenges stem from loosely inferring user experience levels by looking at network performance (NPMD) tools and cobbling together data from a variety of different tools. Teams are inundated with telemetry data which not only prove pointless for this problem but makes their job even harder. What about the APM or vendor-specific application monitoring tools? Great tools to monitor performance within the application — what about the network and the end users?

Then we have the move to the cloud — Yet Another Tool for Cloud Monitoring? The "swivel chair effect" goes to a whole new level. If you're thinking that there is a gap somewhere which hinders speed to detecting user experience issues then you're right. It's a gap that's about to get bigger.

We call this the "application intelligence" gap. This is the intelligence gap between network, application and cloud which makes performance problem detection very challenging and expensive. When users complain about application experience, what do you do? Is the problem with the network, the application or the cloud?

Detecting and diagnosing end-to-end user experience issues is hard and gets harder with cloud and serverless computing. Establishing the right foundation starts with bringing Network, Application and Cloud teams together on a common framework. A framework that provides operational performance intelligence to show what matters very quickly so teams can detect fast, predict and avoid performance issues and focus on what they do best. Are you ready to break the silos and foster collaboration?

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

Enterprise data sprawl already challenges companies' ability to protect and back up their data. Much of this information is never fully secured, leaving organizations vulnerable. Now, as GenAI platforms emerge as yet another environment where enterprise data is consumed, transformed, and created, this fragmentation is set to intensify ...

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