Azure IaaS: How to design, build, and optimize cloud infrastructure for long-term cost efficiency

This blog post is the third part of a series called Azure IaaS, designed to share practical advice and best practices to help you establish a reliable infrastructure platform. This spans categories like performance, resiliency, security, scalability, and cost efficiency.

As businesses upgrade their infrastructure, shift crucial workloads, develop cloud-native applications, and expand AI capabilities, maintaining cost efficiency remains a core principle of cloud frameworks.

However, cloud expenses rarely stem from just one choice. Instead, they often arise from multiple architectural decisions in Azure Infrastructure-as-a-Service (IaaS) settings, particularly involving compute, storage, and networking.

For instance, overprovisioning can occur when organisations choose larger virtual machines than necessary or store infrequently accessed data on premium storage. Similarly, resilient architectures might introduce unnecessary overhead, or excessive operational data collection can waste resources. While these choices may seem minor separately, their collective impact can drastically affect costs and operational efficiency over time.

These issues become more pronounced as businesses ramp up AI initiatives and modernise applications while managing rising performance and resiliency demands.

The key lies in tackling these inefficiencies early on. By making informed choices during planning, deployment, and ongoing management, organisations can optimise resource usage, reduce total cost of ownership (TCO), and lay a solid foundation for future expansion.

In this blog, we’ll delve into prevalent cost challenges that organisations encounter today and discover how Azure IaaS features in compute, storage, and networking can enhance efficiency, diminish TCO, and suggest resources available in the Azure IaaS Resource Center to assist you in making well-informed decisions.

Many of the best optimisation chances arise well before a workload is put into service. To pinpoint where these opportunities lie, let’s take a closer look at common efficiency challenges (and their solutions) in compute, storage, and networking.

Compute: Aligning Resources to Workload Needs

Compute inefficiencies are typically among the easiest to spot, as they directly influence both performance and infrastructure costs.

The aim isn’t just to find the cheapest compute option but to match infrastructure resources with workload needs while leaving room for future growth.

Azure offers an extensive range of virtual machine options, enabling organisations to choose the right architecture, processor type, performance profile, and scaling features that align perfectly with their workload requirements. This way, organisations can ensure their infrastructure investments go towards what they actually need instead of paying for unused capacity.

It’s equally essential to capitalise on Azure’s flexible pricing models. Depending on the workload, businesses can mix Pay-As-You-Go, Azure savings plans, Azure Reservations, and Azure Spot Virtual Machines to match costs more closely with actual usage.

For environments that require high scalability, Azure Virtual Machine Scale Sets automatically adjust compute resources to meet demand in real time, ensuring the right size while optimising cost efficiency. Azure Compute Fleet even assists organisations in balancing capacity, availability, and price-performance across large deployments, simplifying the management of large-scale infrastructure.

This results in a compute ecosystem that not only saves money but is also better suited to meet application needs and business objectives.

Storage: Finding the Right Balance Between Performance and Management

Storage inefficiencies tend to creep in slowly and can often remain undetected until the environment scales significantly. It’s crucial to keep performance, capacity, and data access needs aligned.

Select the Right Storage Service for Your Workload

Different workloads have diverse storage performance requirements. Some applications need consistent low-latency block storage, whereas others may focus on storage capacity or long-term retention. Picking the right storage service and performance tier is vital for maximising efficiency and value.

For instance:

Automate Data Lifecycle Management

It’s equally crucial to ensure that data stays on the appropriate storage tier throughout its lifecycle. In many cases, data access patterns can change drastically over time, yet storage configurations often remain unchanged, leading to unnecessary cost for performance that’s no longer required.

Azure Blob Storage offers features to help organisations align storage costs with access habits. Automated tiering and lifecycle policies can ensure quick access to frequently used data while also moving seldom-accessed data to lower-cost tiers.

This creates a storage strategy that evolves alongside usage patterns, eliminating the need for constant manual adjustments.

Enhance Visibility Across Your Storage Environment

Understanding where costs arise is the first step toward optimisation.

Tools like Azure Storage Discovery and Azure Storage Actions empower organisations to gain insights into their storage setups, reveal optimisation prospects, and automate tasks across large-scale deployments.

Instead of managing each storage account individually, teams can spot trends and apply cost-saving measures consistently across their entire data landscape.

Taken together, these features facilitate a shift from just provisioning storage to continually optimising it.

Networking: Enhancing Efficiency While Maintaining Resilience

Networking poses unique optimisation challenges as organisations need to balance connectivity, performance, resilience, and operational visibility.

Achieving Resilience More Efficiently

Traditionally, improving resilience often meant duplicating infrastructure elements, leading to higher costs and increased management demands. Nowadays, organisations seek architectures that provide resilience without adding complexity and unnecessary resources.

Azure’s networking features assist organisations in making these trade-offs more effectively. Services such as ExpressRoute Metro, Zone Redundant NAT Gateway, and scalable networking setups offer avenues to improve resilience and scalability while preserving operational efficiency.

Cut Down on Operational and Logging Costs

Maintaining a clear operational overview is essential, but collecting every single data point for network and firewall logs can lead to high storage and operational costs over time.

Modern filtering and analytic tools enable teams to focus solely on the most pertinent network data, significantly cutting storage use and simplifying investigations.

This empowers organisations to gather necessary insights without incurring excessive log growth and retention expenses.

By employing filtering, automation, and smart logging practices, organisations can concentrate on actionable data while limiting unnecessary information gathering and prolongation.

Ongoing Optimisation for Long-Term Savings

Achieving infrastructure efficiency isn’t a one-time effort through a single migration, architecture assessment, or pricing choice.

As workloads evolve, usage patterns shift, and new platform features come into play, optimisation opportunities consistently arise.

Organisations that derive the most value from their cloud investments are often those that view optimisation as a constant operational practice. They routinely assess infrastructure usage, re-evaluate architectural assumptions, automate lifecycle management, and embrace new features that enhance efficiency across their environments.

Although individual enhancements may seem gradual, their cumulative effect can be significant. A well-sized virtual machine (VM), a better-suited storage tier, an automated lifecycle policy, or a more effective networking design may each yield modest savings individually. Together, they form a more efficient, scalable, and resilient infrastructure foundation.

Azure continues to enhance its offerings, such as Azure Copilot, which assists customers in streamlining cloud costs by merging real-time insights, AI-driven recommendations, and automated optimisation actions. This equips teams to quickly identify waste, adjust resources, and forecast expenses with ease.

Continue Your Journey of Optimising Azure IaaS

Whether you’re managing AI workloads, modernising legacy applications, or planning for future migration and growth, incorporating efficiency into your cloud architecture is crucial.

The Azure IaaS Resource Center offers guidance, best practices, technical resources, and optimisation strategies across compute, storage, and networking, equipping you to design, build, and optimise Azure environments confidently.

Make sure to check out the Azure IaaS Resource Center to dive into cost optimisation advice, architectural best practices, product resources, and tools that can help you maximise value from your Azure infrastructure investments.

Explore deeper into the Azure IaaS Resource Center for tutorials, best practices, and insights to aid you in designing and operating resilient infrastructure with greater confidence.

Did you miss these posts in the Azure IaaS series?