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My Wife's Perspective: Try-Before-You-Buy Avoids Cloud Migration Disappointment

Jim Swepson

My wife loves to shop, and even more so when I give her access to my credit card. I was recently with her when she was looking to purchase an outfit for a wedding. She already had an idea on what she wanted as she had searched online for ideas and costs. But when it came to the actual experience of choosing an outfit I will admit to being pretty exasperated! Each outfit she looked at was viewed by style, color, cost, machine wash or dry-clean only (aftercare). But, and this is the point I believed was the most important – did she look great in it? She's my wife and of course she looked good in every outfit! I realized quickly that although this was normally the required response, shopping was a very different matter.

My irritation grew and I asked her why she just didn't purchase the outfit online? I received a withering look and the comment “I like to try my clothes on before I buy.” I quietly stated that some online shops allow you to try before you buy by having an easy “sale or return” policy, attractive for many buyers. She wasn't convinced.

It got me thinking about my work and how often I come across companies who look at spending a lot of money to move their IT to a different environment such as Cloud or to a new datacenter, maybe virtualize their environment, without ever realizing that they could "try before they buy". Providers of cloud/managed services and datacenter moves cannot not offer a “sale or return” due to the commitment to make the change. This makes the offer of "try before you buy" even more important.

I remembered an occasion a few years back when I was dating my wife, we were at a ZCMI store where she was trying on outfits (again). It wasn't long before we left the shop promptly without her buying the outfit. She explained that the outfit looked completely wrong! I recalled the enthusiastic sales lady had gushed to her about how great the color looked, how it accentuated all the right bits – basically saying it was perfect for her. My wife explained that the color was all wrong, the cut was really not flattering, and she had understood that the sales lady didn't care. She recognized that the sales lady was only interested in the sale, she was only important as a potential buyer. This was a perceptive observation and going back to sourcing the right cloud or datacenter solutions, the job is to sell, and all that "trying it out" gets in the way! But your job isn't to buy, it's to make your life and the life of your company better.

Now, imagine the scenario of a cloud provider telling you that before you buy, you can see for yourselves how it will perform; what, if any, are the potential pitfalls; what might comprise post-deployment performance; what about Response Time metrics; pre-deployment performance metrics; can the cloud provider can achieve more? So how is this achieved? Network emulation/replication has been used for years by large banks and the military, as getting things right was a must. Today this technology offers the same assurances to companies moving their applications into a networked environment, where they can replicate the entire network experience, including the conditions, the types of networks, and how the components will cope.

It's really worth being aware of what's out there, because when moving applications or changing to different types of networks, the premise should be that, as a buyer, you should know exactly what you are getting for your money. Taking a leaf out of my wife's shopping habits - Your business is important to you. The provider cares about the sale. Make sure that along with every aspect on offer that the fit is right for you, that the performance is what you need. Availability should be a given, but performance is a more subtle point as it seems more subjective. Who makes the decision that performance is poor? Also, what performance related factors will be measured? Where would your evidence be if your users start to gain a poor experience?

So, analogies aside it's right to get your move right by understanding and experiencing how your business applications will perform in the cloud or in new networks, especially if moving from a LAN-based environment today to a WAN- based networked environment tomorrow. Your applications will have to experience the mixed conditions of different networked environments, and if we are looking at mobile applications and mobile networks, this becomes even more essential to understand what this will mean for your customers and staff as these networks are highly variable.

So when it comes to choosing a Cloud or datacenter provider who says they will make your IT life easier, try it out first. It's a small cost to pay to get it right.

Jim Swepson is a Pre-sales Technologist at Itrinegy.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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My Wife's Perspective: Try-Before-You-Buy Avoids Cloud Migration Disappointment

Jim Swepson

My wife loves to shop, and even more so when I give her access to my credit card. I was recently with her when she was looking to purchase an outfit for a wedding. She already had an idea on what she wanted as she had searched online for ideas and costs. But when it came to the actual experience of choosing an outfit I will admit to being pretty exasperated! Each outfit she looked at was viewed by style, color, cost, machine wash or dry-clean only (aftercare). But, and this is the point I believed was the most important – did she look great in it? She's my wife and of course she looked good in every outfit! I realized quickly that although this was normally the required response, shopping was a very different matter.

My irritation grew and I asked her why she just didn't purchase the outfit online? I received a withering look and the comment “I like to try my clothes on before I buy.” I quietly stated that some online shops allow you to try before you buy by having an easy “sale or return” policy, attractive for many buyers. She wasn't convinced.

It got me thinking about my work and how often I come across companies who look at spending a lot of money to move their IT to a different environment such as Cloud or to a new datacenter, maybe virtualize their environment, without ever realizing that they could "try before they buy". Providers of cloud/managed services and datacenter moves cannot not offer a “sale or return” due to the commitment to make the change. This makes the offer of "try before you buy" even more important.

I remembered an occasion a few years back when I was dating my wife, we were at a ZCMI store where she was trying on outfits (again). It wasn't long before we left the shop promptly without her buying the outfit. She explained that the outfit looked completely wrong! I recalled the enthusiastic sales lady had gushed to her about how great the color looked, how it accentuated all the right bits – basically saying it was perfect for her. My wife explained that the color was all wrong, the cut was really not flattering, and she had understood that the sales lady didn't care. She recognized that the sales lady was only interested in the sale, she was only important as a potential buyer. This was a perceptive observation and going back to sourcing the right cloud or datacenter solutions, the job is to sell, and all that "trying it out" gets in the way! But your job isn't to buy, it's to make your life and the life of your company better.

Now, imagine the scenario of a cloud provider telling you that before you buy, you can see for yourselves how it will perform; what, if any, are the potential pitfalls; what might comprise post-deployment performance; what about Response Time metrics; pre-deployment performance metrics; can the cloud provider can achieve more? So how is this achieved? Network emulation/replication has been used for years by large banks and the military, as getting things right was a must. Today this technology offers the same assurances to companies moving their applications into a networked environment, where they can replicate the entire network experience, including the conditions, the types of networks, and how the components will cope.

It's really worth being aware of what's out there, because when moving applications or changing to different types of networks, the premise should be that, as a buyer, you should know exactly what you are getting for your money. Taking a leaf out of my wife's shopping habits - Your business is important to you. The provider cares about the sale. Make sure that along with every aspect on offer that the fit is right for you, that the performance is what you need. Availability should be a given, but performance is a more subtle point as it seems more subjective. Who makes the decision that performance is poor? Also, what performance related factors will be measured? Where would your evidence be if your users start to gain a poor experience?

So, analogies aside it's right to get your move right by understanding and experiencing how your business applications will perform in the cloud or in new networks, especially if moving from a LAN-based environment today to a WAN- based networked environment tomorrow. Your applications will have to experience the mixed conditions of different networked environments, and if we are looking at mobile applications and mobile networks, this becomes even more essential to understand what this will mean for your customers and staff as these networks are highly variable.

So when it comes to choosing a Cloud or datacenter provider who says they will make your IT life easier, try it out first. It's a small cost to pay to get it right.

Jim Swepson is a Pre-sales Technologist at Itrinegy.

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...