At a Glance Metrics

£18,000/mo
Monthly Cloud Savings
Bill reduced from £45,000 to £27,000.
97%
Resource Tag Coverage
Up from 40%, enabling full product-level cost tracking.
61%
Reserved Instance Cover
Workloads shifted from pay-as-you-go pricing.

Client Background

The client is a UK-based SaaS business providing a B2B workflow platform to mid-market companies in the legal and compliance sector. At the time of engagement, the business had 80 employees and approximately £6.5 million in annual recurring revenue. The product was fully cloud-native, deployed on Microsoft Azure, and had been growing steadily for 7 years.

Azure was the business's largest technology cost. And it was growing faster than revenue. The CTO had a strong engineering background and a capable internal team, but the team's priorities were feature development and platform reliability — not cost governance. Cloud cost management had never been formally owned by anyone.

The Challenge: Visibility Gaps & Exploding Budgets

The lack of infrastructure governance led to several core issues:

  • Lack of Cost Visibility: Cloud costs were reviewed as a single board line item with no breakdown by product, environment, or workloads.
  • Abandoned Infrastructure: Staging/dev environments created for historical product launches were still running at full capacity long after completion.
  • Inefficient Workload Pricing: Stable, predictable production workloads were billed on expensive pay-as-you-go pricing rather than reserved instances.
Execution Strategy

The Solution: 8-Week Cloud FinOps Engagement

A structured programme focused on immediate waste elimination and long-term cost governance.

  • Immediate Waste Elimination

    Decommissioned legacy development databases and unused VMs. Configured scheduled shutdowns for remaining active dev instances.

    Cleanup
  • Rightsizing & Reservs

    Optimised VM sizes based on CPU/memory utilization profiles. Moved infrequently accessed storage to cold/archive tiers.

    RightsizingReserved Instances
  • Tagging & Governance

    Remediated tag coverage and enforced policies via Azure Policy. Built real-time Power BI cost dashboards with Slack anomaly alerts.

    Azure PolicyPower BI
  • Forecasting Framework

    Implemented a rolling 6-month budget forecast, allowing the finance team to align infrastructure spending with product roadmap plans.

    Forecasting

Performance and Cost Validation

Every rightsizing and migration step was validated against performance metrics before being finalized. Post-project validation confirmed zero degradation in production application performance:

  • P95 API response times remained unchanged.
  • Error rates stayed within normal thresholds.
  • Overall throughput capacity was maintained.

The savings generated by the project paid for the entire engagement in less than 4 weeks.

Approach

Delivery Phases

A repeatable approach to cloud cost reduction.

  1. 01
    Phase 1

    Discovery (1 week)

    Full Azure estate audit, cost profiling, waste identification, and stakeholder interviews leading to a fixed-fee proposal.

  2. 02
    Phase 2

    Build & Optimise (7 weeks)

    Executing waste elimination, compute/storage rightsizing, governance rules, and dashboard deployment in weekly sprints.

  3. 03
    Phase 3

    Measure & Maintain

    Post-engagement performance validation, monthly actual-vs-budget reviews, and annual FinOps healthchecks.

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