Cost Optimisation Guide

How to Reduce Cloud Costs on Azure, AWS or GCP

Cloud bills rarely spiral because of one bad decision — they creep up through dozens of small ones nobody ever revisits. Whichever platform you're on, the fix looks the same: find what's actually running, match it to what you actually need, and put a process in place so it doesn't creep back up.

Why Cloud Costs Spiral

These four causes account for the vast majority of avoidable spend we find, regardless of which provider a business is on.

Oversized Resources

Virtual machines and databases provisioned for peak load, or just guessed at, and never resized once real usage patterns became clear.

Orphaned Resources

Test environments, old disks, unattached storage volumes and forgotten snapshots that outlived the project they were built for.

No Monitoring

Nobody's watching utilisation or spend trends, so a slow, steady increase never triggers a conversation until the invoice is already a shock.

No Committed Pricing

Stable, predictable workloads left on full pay-as-you-go rates instead of locked into a reserved or committed-use discount.

A Practical Cost-Audit Approach

Before touching any discount programs or resizing anything, get a clear picture of what's actually out there.

  • Pull a full resource inventory. List every running resource across every subscription, account or project — including the ones spun up for a one-off test that quietly kept billing ever since.
  • Check actual utilisation against what's provisioned. Native monitoring tools show CPU, memory and disk utilisation over the last 30-90 days — a VM sitting at 8% average CPU is a rightsizing candidate, not a performance requirement.
  • Tag everything by owner and purpose. Untagged resources are the ones that survive every audit, because nobody knows who to ask before deleting them. Tagging by team, project and environment fixes that going forward.
  • Identify anything that doesn't need to run 24/7. Development, test and staging environments are prime candidates — check whether they're actually used outside business hours before paying for round-the-clock uptime.
  • Review your current discount coverage. Compare your stable, always-on workloads against what's actually covered by a reserved instance, savings plan or committed-use discount — gaps here are often the single biggest saving available.

Key Cost-Saving Levers

These are the levers that move the needle most for a typical SMB workload, roughly in order of effort required.

  • Rightsize compute and databases. Match VM and database instance sizes to actual measured usage rather than the original guess — this alone is usually the biggest single saving available.
  • Commit to reserved or savings-plan pricing for stable workloads. Anything running predictably around the clock — production databases, core application servers — is almost always cheaper on a 1 or 3-year commitment than on-demand.
  • Turn on auto-scaling for variable demand. Workloads with predictable peaks and troughs (end-of-month processing, business-hours traffic) should scale down automatically instead of running peak capacity all day.
  • Move cold data to cheaper storage tiers. Backups, logs and archives that are rarely accessed don't need to sit on the same premium storage tier as live production data — tiering this correctly can cut storage costs substantially.
  • Schedule dev/test environments off outside business hours. A non-production environment that only needs to exist 9-to-5 on weekdays is being paid for roughly three times longer than necessary if it's left running around the clock.

Each Provider's Native Cost Tools

You don't need third-party software to get started — all three platforms ship a capable cost management tool for free.

  Azure Cost Management AWS Cost Explorer GCP Cost Management
Budgets & alerts Built-in budgets with automatic email or action-group alerts at set spend thresholds. AWS Budgets integrates alongside Cost Explorer for threshold and forecast alerts. Budgets and alerts built directly into the billing console.
Recommendations engine Advisor surfaces rightsizing and reserved instance recommendations automatically. Compute Optimizer and Trusted Advisor flag oversized and idle resources. Recommender highlights idle and oversized resources across projects.
Tagging & granularity Cost breakdown by resource group, tag or subscription. Cost allocation tags plus detailed per-service, per-account breakdowns. Labels and per-project billing export into BigQuery for deeper analysis.
Best for Businesses already comfortable in the Azure portal wanting built-in guidance. Teams wanting the deepest historical reporting and forecasting detail. Data-savvy teams who want to query billing data directly for custom reporting.

All three are free to use and included with your existing account — there's no reason to wait on a paid third-party tool before you've exhausted what's already sitting in your billing console.

Outside Help vs Managing It Internally

The native tools get you most of the way — the question is whether anyone has the time and cloud-specific expertise to act on what they show.

Manage It Internally When
  • Your cloud footprint is small and simple — a handful of VMs or a single application environment.
  • Someone on the team already understands the platform and has time to review spend monthly.
  • You're comfortable acting on native recommendations without a second opinion.
Bring In Outside Help When
  • Your environment spans multiple subscriptions, accounts or projects and nobody has full visibility across all of them.
  • You want reserved or committed-use pricing decisions checked by someone who does this across many environments, not just yours.
  • You'd rather this be reviewed on an ongoing schedule than revisited only when a bill looks wrong.

Frequently Asked Questions

It depends heavily on how long it's been since your last review, but double-digit percentage reductions are common on environments that have never been audited — oversized resources, orphaned storage and missed committed pricing add up faster than most businesses expect.

Only if it's done without checking first — that's why the audit step matters. Confirm actual utilisation and who owns a resource before resizing or shutting it down, and change non-critical or lower environments before touching anything customer-facing.

There's some commitment risk, which is why it's worth only committing your genuinely stable, predictable workloads and leaving variable ones on-demand. Shorter one-year terms and flexible savings-plan style commitments (rather than instance- specific reservations) reduce this risk considerably.

No — for most SMBs, running one cloud well and reviewed regularly saves far more than splitting workloads across providers chasing marginal price differences. Multi- cloud adds operational complexity that usually costs more than it saves at this scale.

A full audit at least once a year, with a lighter monthly check against budgets and alerts in between. Businesses growing or changing workloads quickly benefit from a quarterly review so waste doesn't accumulate unnoticed between annual checks.

Want a second set of eyes on your cloud bill?

We'll review your Azure, AWS or GCP environment, flag the waste, and recommend the right pricing model for your workloads — no sales pitch required.

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