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Effective FinOps: Moving from Recommendations to Risks

Eric Ethridge
DoiT

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action?

This shift isn't just about semantics; it's about survival. Unchecked cloud costs aren't minor annoyances; they're financial liabilities that can shatter a company's foundation. Startups can incinerate their monthly runway in a single day. For mid-market firms, unanticipated or overlooked cloud expenses can obliterate profitability in an instant. This financial bleed doesn't just erode profit; it undermines operational performance and even security.

FinOps teams must treat these financial risks with the same gravity as security threats. Security doesn't offer vague suggestions; it pinpoints specific risks, assigns severity levels and tracks vital metrics like mean time to resolution. By mirroring this approach, FinOps can evolve from passive optimization to a proactive financial defense system that tackles risks head-on. This transforms cloud cost management from an "if time allows" chore into the non-negotiable, timely imperative it must be.

Risks and Responsibilities

Changing the conversation from soft "recommendations" to hard "risks" ignites urgency and breeds accountability. Suddenly, teams aren't just trying to save a buck; they're active guardians of financial stability. Engineers attack cost issues with the same tenacity they apply to critical bugs, and finance teams are right there, collaborating every step of the way.

What do executives get?

Real outcomes measured by clear metrics, not just vague "what-ifs."

FinOps teams must adopt this aggressive mindset and equip themselves with the right tech. A solution's purpose isn't to churn out endless suggestions. It's to sharply identify cost risks, make them actionable and then track how quickly and effectively they're neutralized. This isn't about mere budget tweaking; it's about forging a culture where innovation flourishes alongside strong financial controls.

FinOps: A Force Multiplier for Security

This re-envisioned FinOps isn't just about money; it's a significant boost for security:

  • Shrinking the Attack Surface: FinOps excels at spotting overprovisioned or idle cloud resources. This isn't just cost savings; it's also a direct way to reduce potential targets for attackers and close security holes.
  • Hardwiring Accountability: The core of FinOps is accountability, a principle critical for security. When resources have clear owners, enforcing security policies becomes straightforward. Data breaches can be traced back to unauthorized usage, and better-managed environments drastically cut down on misconfigurations that create vulnerabilities.
  • Building a Security-First Culture: When cost accountability is deeply ingrained, employees at all levels are far more likely to stick to security best practices and proven configurations, knowing they're directly responsible.

Today's tools are powerful allies. The right cost and security monitoring platforms allow for side-by-side evaluation of critical data. Resource tags can simultaneously track both financial and security risks. Budget alerts can even flag potential security breaches by detecting unusual cost spikes caused by malicious activity. And automation can seamlessly integrate FinOps, consistently applying governance across financial and security landscapes.

A Better Picture

The current FinOps approach is falling short for far too many organizations. The deluge of "recommendations" isn't delivering. A radical reframing is desperately needed, one that starts by calling cost issues exactly what they are: actual risks, demanding swift urgency and clear accountability.

True success won't be found in the sheer number of suggestions, but in the critical issues unearthed and definitively resolved — and the speed and thoroughness with which that resolution occurs. This transformative approach doesn't just fix financial leaks; it shatters siloed decision-making, forcing crucial conversations where cost and security are always considered hand-in-hand, painting a far more complete and actionable picture.

Eric Ethridge is Senior Technical Account Manager at DoiT

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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 ...

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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 ...

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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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Effective FinOps: Moving from Recommendations to Risks

Eric Ethridge
DoiT

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action?

This shift isn't just about semantics; it's about survival. Unchecked cloud costs aren't minor annoyances; they're financial liabilities that can shatter a company's foundation. Startups can incinerate their monthly runway in a single day. For mid-market firms, unanticipated or overlooked cloud expenses can obliterate profitability in an instant. This financial bleed doesn't just erode profit; it undermines operational performance and even security.

FinOps teams must treat these financial risks with the same gravity as security threats. Security doesn't offer vague suggestions; it pinpoints specific risks, assigns severity levels and tracks vital metrics like mean time to resolution. By mirroring this approach, FinOps can evolve from passive optimization to a proactive financial defense system that tackles risks head-on. This transforms cloud cost management from an "if time allows" chore into the non-negotiable, timely imperative it must be.

Risks and Responsibilities

Changing the conversation from soft "recommendations" to hard "risks" ignites urgency and breeds accountability. Suddenly, teams aren't just trying to save a buck; they're active guardians of financial stability. Engineers attack cost issues with the same tenacity they apply to critical bugs, and finance teams are right there, collaborating every step of the way.

What do executives get?

Real outcomes measured by clear metrics, not just vague "what-ifs."

FinOps teams must adopt this aggressive mindset and equip themselves with the right tech. A solution's purpose isn't to churn out endless suggestions. It's to sharply identify cost risks, make them actionable and then track how quickly and effectively they're neutralized. This isn't about mere budget tweaking; it's about forging a culture where innovation flourishes alongside strong financial controls.

FinOps: A Force Multiplier for Security

This re-envisioned FinOps isn't just about money; it's a significant boost for security:

  • Shrinking the Attack Surface: FinOps excels at spotting overprovisioned or idle cloud resources. This isn't just cost savings; it's also a direct way to reduce potential targets for attackers and close security holes.
  • Hardwiring Accountability: The core of FinOps is accountability, a principle critical for security. When resources have clear owners, enforcing security policies becomes straightforward. Data breaches can be traced back to unauthorized usage, and better-managed environments drastically cut down on misconfigurations that create vulnerabilities.
  • Building a Security-First Culture: When cost accountability is deeply ingrained, employees at all levels are far more likely to stick to security best practices and proven configurations, knowing they're directly responsible.

Today's tools are powerful allies. The right cost and security monitoring platforms allow for side-by-side evaluation of critical data. Resource tags can simultaneously track both financial and security risks. Budget alerts can even flag potential security breaches by detecting unusual cost spikes caused by malicious activity. And automation can seamlessly integrate FinOps, consistently applying governance across financial and security landscapes.

A Better Picture

The current FinOps approach is falling short for far too many organizations. The deluge of "recommendations" isn't delivering. A radical reframing is desperately needed, one that starts by calling cost issues exactly what they are: actual risks, demanding swift urgency and clear accountability.

True success won't be found in the sheer number of suggestions, but in the critical issues unearthed and definitively resolved — and the speed and thoroughness with which that resolution occurs. This transformative approach doesn't just fix financial leaks; it shatters siloed decision-making, forcing crucial conversations where cost and security are always considered hand-in-hand, painting a far more complete and actionable picture.

Eric Ethridge is Senior Technical Account Manager at DoiT

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 ...