Cloud Optimization: More Than Just Cost Savings
How You Can Also Achieve Performance, Uptime, and Efficiency
Cloud optimization is almost universally discussed as a cost story. Reduce waste. Right size resources. Shut down idle instances. Lower the monthly bill.
This perspective makes sense. The numbers are difficult to ignore. According to the Flexera 2026 State of the Cloud Report, wasted cloud spend has climbed back to 29%. This means nearly one in three cloud dollars is tied to resources that are underutilized, oversized, or delivering little business value.
But there’s a larger issue hiding behind those numbers.
Cloud waste is not just a financial problem. It’s a performance and reliability problem as well. The same inefficiencies that inflate cloud bills also slow applications, create bottlenecks, and reduce system stability.
That’s why modern cloud optimization is no longer just about reducing spend. It’s also about continuously aligning infrastructure, workloads, and business priorities so resources perform efficiently without unnecessary waste. Done correctly, this optimization improves application speed, scalability, uptime, and operational resilience at the same time.
A real-world example illustrates this clearly: when Advanced Cyber Security partnered with Navisite, Part of Accenture, to migrate and optimize its EndpointLock product on Amazon Web Services (AWS) and implement ongoing cloud optimization, the company didn’t simply reduce costs through discounted billing and FinOps oversight. The engagement also improved scalability and operational performance as demand increased. Cost optimization and performance enhancement happened together, not as separate initiatives.
Following, we’ll explore the core components of cloud optimization and the strategic benefits they can deliver to the business.
The Hidden Performance Cost of Cloud Waste
By definition, cloud waste includes unused, idle, or improperly allocated resources. While it increases costs, it also quietly degrades application performance in ways many organizations don’t immediately recognize.
The cloud’s self-service model makes it easy for inefficiencies to accumulate. Environments spin up quickly, temporary resources remain active indefinitely, and workloads evolve without corresponding infrastructure adjustments.
Over time, these inefficiencies create two major performance problems:
- Infrastructure Bottlenecks Slow Applications: Wrong-sized or outdated instances often remain in production because teams fear disrupting workloads or triggering new budget approvals. Over time, this causes infrastructure to fall out of alignment with demand. When this happens, applications experience increased latency, CPU contention, memory saturation, throughput constraints, and storage I/O bottlenecks.
- Waste Prevents Investment in Reliability: Idle or oversized resources also consume budget that could otherwise fund higher-value improvements, including multi-AZ resilience, higher-performance storage tiers, and proactive load testing. As a result, organizations often postpone reliability initiatives not because they lack value, but because too much spend is trapped in inefficient infrastructure.
These challenges are among the primary factors driving waste reduction to the forefront of operational priorities. In fact, according to the FinOps Foundation’s State of FinOps 2024 report, reducing waste emerged as the top priority for FinOps practitioners for the first time, highlighting a broader industry shift toward greater cost efficiency, resource optimization, and financial accountability in cloud operations.
The solution to eliminating cloud waste is not simply spending less. It’s reallocating resources toward infrastructure that actively improves performance and resilience.
Our work with Kallik makes the point concretely. After migrating to AWS and implementing ongoing optimization through Navisite’s FinOps team, Kallik’s Veraciti platform helped customers cut artwork and label project completion time by 50%, reduce artwork and label generation time by 75%, and generate automated artwork and labels in less than 37 seconds. Those gains came from cloud-native architecture and properly optimized infrastructure working together.
How Rightsizing Improves Speed
Another key element in cloud optimization is rightsizing. While rightsizing is often mistaken for simply scaling down infrastructure to cut costs, it’s fundamentally about aligning cloud resources with actual workload demands, ensuring environments are neither over-provisioned and wasteful nor underpowered and performance-constrained.
Industry data highlights how widespread misalignment has become. Average CPU utilization across many cloud environments still hovers around 15–20% (AWS Well-Architected Framework). Optimization tools such as AWS Compute Optimizer and Azure Advisor can identify opportunities to move workloads toward healthier utilization ranges of 50–70% (Flexera State of the Cloud series).
That balance matters because workloads perform best when infrastructure is efficiently utilized without becoming saturated. When workloads operate on appropriately sized infrastructure:
- Latency decreases
- Throughput improves
- Resource contention drops
- Application responsiveness increases
Additionally, when organizations reclaim spend from oversized resources, they can redirect investment toward higher-value infrastructure improvements, lowering costs and strengthening application performance simultaneously.
Xtime, a subsidiary of Cox Automotive Inc., experienced this firsthand after moving to AWS with Navisite’s support. The company achieved a rightsized environment capable of rapidly scaling during volatile COVID-era demand swings while also generating more than $250,000 in annual savings.
Autoscaling and Elasticity: Performance Insurance That Pays for Itself
While rightsizing addresses baseline infrastructure alignment, autoscaling ensures environments remain optimized as demand changes in real time.
Autoscaling dynamically adds resources during traffic spikes and removes them during low-demand periods. That elasticity protects both performance and cost efficiency simultaneously.
Autoscaling isn’t a requirement for all use cases. However, without it, organizations could be forced to choose between permanent over-provisioning to handle peak demand or accepting degraded performance during traffic surges. Autoscaling eliminates that tradeoff.
It allows organizations to:
- Maintain a consistent user experience during spikes
- Avoid throttling and latency during high demand
- Reduce unnecessary spend during off-peak periods
- Improve operational efficiency automatically
In other words, autoscaling acts as both a performance safeguard and a cost-control mechanism.
According to AWS, organizations implementing autoscaling and scheduling for non-production resources can reduce related compute costs by up to 70% while production workloads maintain consistent performance through elastic scaling.
One retail application discovered periodic CPU throttling during a Navisite assessment. After implementing autoscaling, the application successfully handled three times the normal traffic during its next flash sale without performance degradation, then automatically scaled back down afterward. Optimization and elasticity improved together.
A More Stable Cloud Is a More Optimized Cloud
Performance optimization and operational stability are deeply connected. Well-optimized environments experience fewer incidents because they remove many of the conditions that cause outages in the first place: under-resourced infrastructure, misconfigured workloads, unbalanced architectures, and excessive resource contention.
As optimization matures, organizations typically experience:
- Less firefighting: fewer 3 AM alerts for CPU saturation, memory exhaustion, or storage I/O bottlenecks.
- Improved uptime: without performance setbacks, environments can maintain business continuity and near-zero downtime.
- Savings reinvested in resilience: optimization frees budget previously consumed by waste to fund multi-AZ deployments, better backup strategies, and proactive performance testing.
Thanks to Navisite, we now have a cloud roadmap in place that sets us up for cost-effective growth and business agility, while protecting the integrity and performance of our systems and applications at every turn along the way.
Jon Gelhaus, SVP of IT and CSO at Aqua Finance
Aqua Finance’s experience reflects a broader reality across modern cloud operations: optimization is no longer just a cost initiative. It’s an operational resilience strategy.
The Opportunity Ahead: Better Performance and Lower Costs Together
The organizations that treat cloud optimization as an ongoing operational discipline, not a one-time cost-cutting exercise, create long-term advantages that compound over time.
They don’t just spend less, they:
• Scale faster
• Improve application responsiveness
• Strengthen resilience
• Increase operational agility
• Deliver more consistent user experiences
The first step to achieving these results is understanding where inefficiencies exist today. A cloud optimization assessment reveals not only where unnecessary spend is occurring, but also where performance improvements are being left unrealized.
Navisite offers a variety of cloud services and cloud optimization assessments designed to improve both efficiency and operational performance across cloud providers including AWS and Microsoft Azure, including:
• Cloud Optimization
• Cloud Optimization Assessment
• Well-Architected Review
• FinOps
The organizations gaining the greatest advantage from the cloud are not simply reducing costs. They are building environments that adapt continuously, scale efficiently, and perform reliably under changing business demands.
Ready to assess your environment for both cost and performance improvements? Contact our FinOps experts to get started.
Cloud Optimization FAQ
Cloud optimization directly improves application performance. When waste is removed and resources are properly sized, workloads run on matched infrastructure, reducing latency, improving throughput, and increasing stability.
Cloud rightsizing is the practice of matching cloud resource allocations to actual workload needs — neither over- nor under-provisioned. It improves speed because workloads run on infrastructure sized for their actual demand, reducing contention and latency.
Autoscaling ensures applications receive additional resources during demand spikes and release them during quiet periods, eliminating both performance degradation and unnecessary cost.
Yes. A well-optimized cloud environment typically experiences fewer performance incidents because misconfigured and under-resourced components are the primary cause of CPU saturation alerts, memory exhaustion, and unplanned outages.
A typical assessment can take two-to-four weeks depending upon the size and complexity of the environments.
Cloud waste degrades performance by creating resource bottlenecks and diverting budget away from workloads that need it.