Cases

Logistics SaaS — Azure savings (–32% infra cost)

Context: Multi-tenant SaaS on Azure facing rising compute/storage costs.

What we did:

• Rightsized VMs and storage, introduced reservations/commit plans.
• Auto-scaling policy and off-peak schedules for non-prod.
• Refined logging/retention; moved cold data to cheaper tiers.

Outcome: ~32% run-rate reduction within 90 days, with no service disruption.

Stack: Azure Compute/Storage, Monitor, IaC (Terraform).

Duration: 6 weeks to first savings, 12 weeks to full impact.

IoT fleet — reliability (–48% P1 incidents)

Context: Large device fleet with noisy alerts and frequent out-of-hours incidents.

What we did:

• Alert hygiene: severity rules, deduplication, sane thresholds.
• Runbooks for top 10 incident classes; safer change windows.
• Observability baseline and weekly ops review with action items.

Outcome: 48% fewer P1s quarter-on-quarter; faster mean time to recovery.

Stack: Azure/AWS monitoring, SRE practices, IaC.

Duration: 8 weeks to visible stability improvements.

M&A transformation — streamline, synergise, and cut waste

Context: Post-merger IT estate with duplicated tools, overlapping teams, rising costs, and unclear ownership.

What we did:

• Mapped portfolios and contracts; identified duplicate systems and shadow IT.
• Consolidated platforms (identity, monitoring, CI/CD, ticketing) and standardised IaC.
• Redesigned the operating model (clear RACI, SRE practices, change & incident governance).
• Created a 90-day synergy plan with tracked savings and an execution cadence.

Outcome: Material OPEX reduction, faster time-to-value for product teams, fewer incidents, and a single, accountable run organisation.

Stack: Azure/AWS, Terraform/Ansible, unified identity/SSO, consolidated monitoring and ITSM.

Duration: 12–16 weeks for consolidation wave 1; further waves scheduled quarterly.

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