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3 Ways to Minimize Cloud Costs

With a little creativity, you can battle soaring cloud costs and embrace a more customized cloud approach
Greg Hohenbrink
Wursta

For well over a year now, small businesses and enterprises alike have been scrambling to unlock cost efficiencies in response to a persistent economic downturn. Shoring up revenue wherever possible has become mission critical, and even as business leaders eye new technology solutions to improve their workflows, keeping purse strings tightened remains top of mind.

If your company is considering migrating to the cloud and/or looking to make better use of your current cloud investments, look no further! Let's explore three ways you can minimize cloud spend while maximizing the value derived from your tech stack.

1. Start with Strategy

Creating a more efficient cloud spend requires a proactive approach. It's imperative to start at the very beginning, i.e. taking stock of every technology investment your company makes and evaluating its purpose. Don't skip the pre-work here; getting a holistic strategy in place is absolutely essential, especially in an environment where every penny counts.

Start by ensuring you truly understand the objective of every app within your tech stack and how often it's actually used. Is this a superfluous tool that employees are reluctant to adopt? Or is it a core part of their daily workflows? Once you've determined the value the tool provides your business, you can dive deeper into your evaluation by asking the following questions:

■ Do we have the proper processes in place for maximum efficiency?

■ Are we getting the most out of this application?

■ Could we execute in a more efficient way by building a custom application or investing in application integration?

You may be surprised at how many opportunities for consolidated tools you'll uncover — there are a number of multifunctional tech solutions on the market that offer more comprehensive capabilities, which means you may be able to say goodbye to a vendor or two without sacrificing any value.

If you're struggling to implement a technology strategy on your own, there are plenty of resources online you can turn to. You may also find it helpful to work with a consultant who can lead you through the process, especially if you're a smaller shop already juggling a number of priorities.

2. Customize Your Cloud Environment

Users new to the cloud may struggle to identify the true use cases for cloud technology at first. It's crucial to understand that one solution likely won't solve for all of your needs — so thoughtful and methodical customization will go a long way.

The cloud's adaptability and flexibility are two of its biggest advantages. You may consider embracing strategies like "just-in-time" services: an approach to reducing waste by ensuring you're investing in just what you need, when you need it, and nothing more. Starting small and scaling as needed is possible, so long as you're willing to evaluate alternative options to your legacy systems.

Reducing redundant applications and resources, offloading to different storage buckets, and leveraging on-demand tools and APIs are all practical strategies for increasing value and reducing waste when it comes to cloud spend.

3. Consider Adopting a Hybrid Approach

When it comes to determining whether your data belongs in the cloud or on-premises, a hybrid approach can be incredibly beneficial. Instead of trying to cut corners on costs in the short term, think about what makes the most sense for your business given your industry and the type of data in question.

For example, the heavily regulated financial and healthcare industries face more compliance around their use and storage of data, so it's wise (and in some cases mandatory) to store their most sensitive information on-premises. That said, it's easy to fall down the slippery slope of over-investing in servers and other equipment needed for on-site data storage. It's crucial to carefully evaluate what needs to be on-premises versus what can realistically be stored in the cloud.

A hybrid approach is useful for less regulated industries as well. It's not practical for businesses that work with large amounts of data every day to pull information into the cloud, process it, then bring it back down — keeping high-touch data stored on-premises may lead to more efficient processes.

Business leaders should keep in mind that while it may seem cheaper in the short term to purchase ten servers for on-premises data storage, the cost of staffing that operation is much more expensive and may be unsustainable in the long run. The same is true with equipment upgrades, repairs, and the other hidden costs that come with on-premises data centers.

The ROI for migrating even some of your data to the cloud won't be achieved right away, but with a little bit of patience, you'll begin to see the cost savings 5-10 years down the line.

Conclusion

No matter your relationship with the cloud, there are a multitude of opportunities to leverage this technology to your advantage without damaging your budget. Cost efficiency and streamlined processes go hand in hand. A creative and strategic approach won't just save your business money in the long run; it will also ensure you're getting the most out of the tools you actually need.

Greg Hohenbrink is Cloud Services Director at Wursta

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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

3 Ways to Minimize Cloud Costs

With a little creativity, you can battle soaring cloud costs and embrace a more customized cloud approach
Greg Hohenbrink
Wursta

For well over a year now, small businesses and enterprises alike have been scrambling to unlock cost efficiencies in response to a persistent economic downturn. Shoring up revenue wherever possible has become mission critical, and even as business leaders eye new technology solutions to improve their workflows, keeping purse strings tightened remains top of mind.

If your company is considering migrating to the cloud and/or looking to make better use of your current cloud investments, look no further! Let's explore three ways you can minimize cloud spend while maximizing the value derived from your tech stack.

1. Start with Strategy

Creating a more efficient cloud spend requires a proactive approach. It's imperative to start at the very beginning, i.e. taking stock of every technology investment your company makes and evaluating its purpose. Don't skip the pre-work here; getting a holistic strategy in place is absolutely essential, especially in an environment where every penny counts.

Start by ensuring you truly understand the objective of every app within your tech stack and how often it's actually used. Is this a superfluous tool that employees are reluctant to adopt? Or is it a core part of their daily workflows? Once you've determined the value the tool provides your business, you can dive deeper into your evaluation by asking the following questions:

■ Do we have the proper processes in place for maximum efficiency?

■ Are we getting the most out of this application?

■ Could we execute in a more efficient way by building a custom application or investing in application integration?

You may be surprised at how many opportunities for consolidated tools you'll uncover — there are a number of multifunctional tech solutions on the market that offer more comprehensive capabilities, which means you may be able to say goodbye to a vendor or two without sacrificing any value.

If you're struggling to implement a technology strategy on your own, there are plenty of resources online you can turn to. You may also find it helpful to work with a consultant who can lead you through the process, especially if you're a smaller shop already juggling a number of priorities.

2. Customize Your Cloud Environment

Users new to the cloud may struggle to identify the true use cases for cloud technology at first. It's crucial to understand that one solution likely won't solve for all of your needs — so thoughtful and methodical customization will go a long way.

The cloud's adaptability and flexibility are two of its biggest advantages. You may consider embracing strategies like "just-in-time" services: an approach to reducing waste by ensuring you're investing in just what you need, when you need it, and nothing more. Starting small and scaling as needed is possible, so long as you're willing to evaluate alternative options to your legacy systems.

Reducing redundant applications and resources, offloading to different storage buckets, and leveraging on-demand tools and APIs are all practical strategies for increasing value and reducing waste when it comes to cloud spend.

3. Consider Adopting a Hybrid Approach

When it comes to determining whether your data belongs in the cloud or on-premises, a hybrid approach can be incredibly beneficial. Instead of trying to cut corners on costs in the short term, think about what makes the most sense for your business given your industry and the type of data in question.

For example, the heavily regulated financial and healthcare industries face more compliance around their use and storage of data, so it's wise (and in some cases mandatory) to store their most sensitive information on-premises. That said, it's easy to fall down the slippery slope of over-investing in servers and other equipment needed for on-site data storage. It's crucial to carefully evaluate what needs to be on-premises versus what can realistically be stored in the cloud.

A hybrid approach is useful for less regulated industries as well. It's not practical for businesses that work with large amounts of data every day to pull information into the cloud, process it, then bring it back down — keeping high-touch data stored on-premises may lead to more efficient processes.

Business leaders should keep in mind that while it may seem cheaper in the short term to purchase ten servers for on-premises data storage, the cost of staffing that operation is much more expensive and may be unsustainable in the long run. The same is true with equipment upgrades, repairs, and the other hidden costs that come with on-premises data centers.

The ROI for migrating even some of your data to the cloud won't be achieved right away, but with a little bit of patience, you'll begin to see the cost savings 5-10 years down the line.

Conclusion

No matter your relationship with the cloud, there are a multitude of opportunities to leverage this technology to your advantage without damaging your budget. Cost efficiency and streamlined processes go hand in hand. A creative and strategic approach won't just save your business money in the long run; it will also ensure you're getting the most out of the tools you actually need.

Greg Hohenbrink is Cloud Services Director at Wursta

Hot Topics

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...