Technology
Your DevOps Team Is Spending 30% of Its Time on Work That Should Take Minutes
The hidden cost of manual infrastructure — and what high-performing teams are doing differently.
The Tax Nobody Budgets For
There's a line item that never shows up in your cloud bill but quietly drains engineering capacity every sprint.
Engineering teams spend an average of 30% of their time on infrastructure tasks that should take minutes, not hours. Your DevOps team wasn't hired to build server images. They were hired to ship software, automate workflows, and keep production running. But somewhere along the way, infrastructure setup became the job.
Hardening images. Aligning compliance baselines. Debugging environment drift between dev, staging, and production. Starting from scratch and repeating the same provisioning steps across every new project, region, or team.
And the cost is staggering. For a 50-person engineering team, that's equivalent to $1.2M annually in wasted salary costs. More critically, slow provisioning discourages infrastructure experimentation, leading to over-provisioned resources and architectural stagnation.
The same 2026 DevOps.com report found that organizations using manual provisioning report average infrastructure request fulfillment times of 4–7 days, and platform engineering teams spend 60–70% of their time on repetitive provisioning tasks, according to DevOps Research and Assessment (DORA) findings. That's your most expensive engineers doing work that a pre-configured image could eliminate entirely.
But this isn't just a provisioning problem. Many of these teams are also overpaying for the compute underneath it all — running workloads on x86 architecture when Arm64 could deliver the same results at a fraction of the cost.
What the Fastest Teams Do Differently
They don't provision faster. They skip provisioning entirely. 6 High-performing teams have stopped treating infrastructure setup as a task and started treating it as a solved problem. They deploy from golden images — standardized, pre-configured VM templates — and go straight to building.
Golden Images, Not Blank Canvases
A golden image is a preconfigured, fully functional snapshot of a system that serves as a standardized template for rapid deployment. By capturing a specific state of an operating system, including its patches and security policies, you create a single source of truth for your entire infrastructure. Security hardened. Compliance aligned. Optimized for the target platform.
But the teams pulling ahead the fastest aren't just adopting golden images — they're deploying them on Arm64. And the economics of that decision are reshaping how organizations think about cloud infrastructure.
The Arm64 Advantage: Why Architecture Choice Matters More Than You Think
Choosing the right CPU architecture isn't just a technical decision anymore. It's a financial one.
Arm64 delivers 30% lower compute costs on average compared to x86. For memory-heavy workloads, cost savings reached up to 42%.10
That gap compounds quickly at scale. But cost is only part of the story:
Faster cold starts
Across all runtimes, arm64 delivered 13–24% faster cold start initialization10 — a meaningful improvement for serverless and containerized workloads where startup latency directly affects user experience.
Better energy efficiency
ARM architecture provides 40% better energy efficiency through RISC architecture optimization11, which translates to lower power consumption and reduced cooling costs in data centers.
Stronger price-performance at every tier
A cost comparison shows Graviton4 delivers 9% better performance at 33% lower cost than equivalent x86 instances. Combined, that's 42% better price-performance.12
Superior throughput
Arm64 architecture offers unparalleled energy efficiency, enabling high-performance processing with lower power consumption — particularly beneficial for enterprises looking to deploy large-scale IoT solutions or edge computing systems.13 The market proves it. Over 90,000 AWS customers run Graviton workloads, including 98% of the top 1,000 EC2 users.12 This isn't an experiment. It's a migration that's already happened.
The Sustainability Case for Arm64
Performance and cost get the headlines. But for organizations with ESG commitments, carbon reduction targets, or regulatory obligations, Arm64's environmental benefits deserve equal attention.
Data centers account for approximately 1–2% of global electricity consumption, and their share is expected to grow. With increasing global emphasis on ESG (Environmental, Social, and Governance) goals, ARM processors offer a strategic path to greener data centers.
The physics are straightforward. ARM's RISC-based design means each instruction requires fewer transistors and consumes less power. In real-world workloads, especially cloud-native and distributed environments, ARM chips have demonstrated up to 60% better performance per watt compared to equivalent x86 chips.
That efficiency ripples through every layer of infrastructure:
Lower power draw per server
A 30–60% drop in power usage per processor can reduce electricity costs by millions annually, not to mention the reduction in carbon emissions.
Reduced cooling demands
Since ARM chips consume significantly less power and generate less heat, the cooling infrastructure required is far less demanding. Operators can either fit more ARM servers into the same physical footprint without overheating or reduce cooling needs — both options lead to improved Total Cost of Ownership.
Measurable carbon reduction
Tech giants like Amazon claim up to 50% reduction in carbon emissions per workload using ARM-based processors.
Capgemini validated these numbers through real-world migrations. With little effort and within only a few days, they were able to port existing x86-based containerized EC2 applications to Arm-based images with cost savings of up to 20% and reduction of power consumption and carbon footprint up to 45%.
This isn't a tradeoff between doing well and doing right. Arm64 delivers both — lower bills and a lower carbon footprint from the same decision.
Real-World Results: Who's Already Benefiting from Arm64
Formula 1
30% Cost Reduction, 80% Faster Simulations
This isn't theoretical. Organizations across industries are already seeing the results.14 Formula 1 migrated its data and workloads from on-premises IT to the cloud to improve performance and save costs. By relying on ARM instances, F1 cut the cost of running computational fluid dynamics (CFD) workloads by 30% and thinks, "cost savings could grow to 40%," says Pat Symonds, chief technical officer for Formula 1. F1 also reduced CFD simulation times by 80%, from 60 hours to 12 hours. That's the kind of infrastructure performance gain that directly impacts how fast a team can iterate.15
Netflix
$15M in Annual Savings
Netflix migrated 70% of its video encoding infrastructure to Arm64 and saved $15 million annually. The migration delivered 30% lower compute costs and 20% faster processing times while maintaining identical encoding quality.12 For a company encoding thousands of hours of video daily, Arm64 didn't just reduce costs — it made encoding pipelines measurably faster.
47% Cost Reduction, 62% Lower Carbon Emissions
Pinterest migrated more than 25 percent of its compute infrastructure to Arm64 instances. For one important workload — thousands of instances serving billions of API requests per day — the migration resulted in a 38 percent reduction in compute resources, 62 percent lower carbon emissions per API request, and 47 percent reduction in workload costs.16 "We don't have to choose between business outcomes and sustainability goals, because using [Arm64] we can align, achieving cost efficiency while emitting less carbon," says Chris Bunting, engineering manager at Pinterest.16
The Pattern Is Clear
Every one of these organizations achieved double-digit cost savings, performance improvements, or both — without sacrificing quality or reliability. The takeaway: you don't have to migrate everything at once. Even a partial shift to Arm64 delivers measurable savings.17
So Why Are Teams Still on x86?
If the economics are this clear, why do teams stay on x86? Usually, it's not a deliberate choice. It's friction. Unfamiliar architecture, unvalidated base images, time spent configuring and hardening a new OS from scratch — these aren't technical blockers, they're operational ones.18
Most teams don't avoid Arm64 because they've evaluated and rejected it. They avoid it because switching architectures adds yet another provisioning task to an already overloaded workflow. When your team is already spending 30% of its time on infrastructure setup, adding "figure out Arm64" to the list doesn't feel like an optimization — it feels like more work.
That's the real barrier. And it's exactly what a golden image removes.
How Ntegral's Ubuntu 26.04 Arm64 Golden Image for Azure Changes the Equation
This is where a pre-configured golden image on Arm64 changes the equation. Ntegral’s Ubuntu 26.04 LTS Arm64 for Azure Virtual Machines is designed for cloud and platform teams that want to deploy Linux workloads on Azure using the latest Ubuntu LTS generation and 64-bit Arm architecture. 19 Ntegral's approach is to remove the provisioning step entirely. Instead of expecting every customer's team to become cloud experts, Ntegral bakes hard-won DevOps and migration patterns into ready-to-deploy solutions in the Azure Marketplace.
What this means practically:
No manual OS configuration
Ntegral's Ubuntu 26.04 on Arm64 image is pre-hardened and compliance-aligned before you deploy it.
Consistent environments
Standardized images ensure that development, testing, and production environments behave the same — reducing risk and improving reliability. 21
Continuously maintained
Ntegral certified images are always up-to-date, secure, and built to work right out of the box. When any security threat or update is identified, Ntegral automatically repackages the applications and pushes the latest versions to the cloud marketplaces. 22
IaC-ready from day one
The image gives administrators and platform teams a deployable Ubuntu 26.04 on Arm64 foundation on Azure that can be incorporated into Infrastructure as Code pipelines, golden image strategies, and repeatable landing-zone patterns. 23
Compliance coverage built in
Ntegral enhances solutions by integrating compliance regulations built to conform to a comprehensive spectrum of regulatory frameworks including FedRAMP, FISMA, HITECH, PCI, DPR, ISO, and more.
The result: your team gets Arm64's cost, performance, and sustainability benefits on Azure without absorbing any of the migration complexity. Deploy Ntegral's Ubuntu 26.04 Arm64 VM in minutes, not days — and start realizing savings from the first workload.
The Bigger Picture
The infrastructure landscape is shifting. ARM processors hit 50% of hyperscaler compute in 2025, officially ending x86's four-decade dominance in cloud infrastructure. 12 The organizations moving fastest aren't just adopting new architectures — they're removing the friction that made the old ones sticky.
Ntegral’s Ubuntu 26.04 on Arm64 golden image solves both problems at once: it eliminates manual provisioning and puts your workloads on an architecture that costs less, performs better, and scales more efficiently.
The teams that are shipping faster in 2026 aren't doing so because they found better engineers. They standardized on a ready-to-deploy foundation, chose an architecture with better economics, and stopped treating infrastructure setup as a task their people should be doing by hand.
