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Luxury Escapes Saves $10K+ /month on AWS

DoiT's Cloud Intelligence platform drove RDS right-sizing, a Reserved Instance strategy and unified visibility across 25 AWS accounts.

Cloud Intelligence™
Luxury Escapes

The Challenge

Two Problems With Real Business Consequences

Infrastructure Provisioned for the Worst Case, Not the Real Case

Amazon Aurora clusters sat at the core of the platform's data layer, but they ran on Standard Storage configurations that didn't reflect actual I/O patterns. RDS instances were provisioned for peak load rather than tuned to everyday usage. The gap between what was provisioned and what was needed translated directly into unnecessary spend, month after month.

Without a structured approach to analysing usage patterns, that spend was effectively invisible. The team knew inefficiency existed somewhere in the estate. Pinpointing it, and knowing what to do about it, required expertise they didn't have in-house.

No Reliable Way to Govern a 25-Account Estate

Tracking what ran where across 25 AWS accounts was a manual, error-prone process. In accounts being wound down and deprecated, new resources could appear without anyone noticing. For a team managing cost accountability across a complex estate, that blind spot carried real risk: untracked resources meant untracked spend and potential compliance exposure.

Each challenge was manageable in isolation. Together, they pointed to a team that needed both a smarter platform and an extended technical partner, one with the specialist depth to complement what an in-house team at this scale and pace can carry alone.

The Solution

Precise Analysis, Unified Visibility and a Partner in Every Sprint

DoiT engaged the Luxury Escapes platform team through its Cloud Intelligence platform, pairing intelligent tooling with hands-on engineering expertise. For Chiamaka's team, the difference wasn't just what DoiT could see. It was what DoiT did with what it saw.

A Reserved Instance Strategy Built on Real Usage Data

DoiT's Forward Deployed Engineers and Customer Success Manager analysed daily RDS usage patterns and performance metrics across the Luxury Escapes estate, building a picture of how workloads actually behaved rather than how they were assumed to behave. That analysis identified clear opportunities to right-size instances and shift to a Reserved Instance model calibrated to real demand.

The outcome was a tailored strategy that now covers 70% to 80% of Luxury Escapes' Aurora RDS workload, delivering approximately $7,000 to $8,000 in direct savings. DoiT's engineers went further, reviewing Aurora cluster storage configurations and identifying specific workloads where a shift to I/O Optimized storage made both performance and cost sense. A configuration detail most teams would overlook became a compounding efficiency gain.

CloudFlow: Visibility, Governance and Commitment Monitoring

With the Reserved Instance strategy in place, Satyam Gupta, introduced CloudFlow to give the team the tools to monitor and protect that investment. Through automated reporting in CloudFlow, Chiamaka's team gained visibility of Reserved Instance expiration dates and utilisation rates across the estate, allowing it to act ahead of expiring commitments rather than discovering them after the fact.

CloudFlow also addressed a broader governance challenge. For a team previously context-switching between 25 separate AWS accounts, it provided a single, unified view of what was running across the entire estate. Automated alerting meant that new resources created inside a deprecated account triggered an immediate notification, turning a process that had relied on manual checks into a controlled, auditable workflow.

Present Every Sprint, Not Just at Quarterly Reviews

Satyam checked in with Chiamaka's team multiple times per sprint, surfacing new platform capabilities and providing active support through the App Mesh migration and ongoing Aurora cluster work. When the team hit problems that needed specialist knowledge, Satyam connected them with the right DoiT engineers quickly. Cost attribution was configured across teams and services so anomalies could trace back to their root cause without delay.

Results

  • $10K+ saved per month Via RDS right-sizing and Reserved Instance strategy
  • 75% Aurora RDS coverage Aurora workload covered by Reserved Instances
  • 25 accounts unified single view across the full AWS estate via Cloud Intelligence™
  • Automated RI expiration alerts via CloudFlow so nothing slips through

What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.

Chiamaka Ibeme, Engineering Manager, Platform

What's Next

Luxury Escapes isn't slowing down, and the platform team's ambitions for the AWS estate reflect that. Over the next 12 months, the focus shifts from establishing the FinOps practice to deepening it. CloudFlow's resource visualisation and governance capabilities have more to give, and Chiamaka's team plans to expand how they use them as familiarity with the platform grows.

The AWS App Mesh migration continues with active support from DoiT's engineers. Further Aurora storage optimisation work remains in the pipeline. And as the platform adds accounts, services and spend, the partnership model that made the first wave of results possible scales with it.

For Chiamaka, that continuity matters as much as any individual outcome. A partner who shows up every sprint, knows the estate and brings the right expertise at the right moment isn't a vendor. It's infrastructure for the team itself.

Scaling Fast, With a Cloud Estate to Match

Luxury Escapes gives travellers access to curated premium holidays across the Asia-Pacific region and beyond. When a customer books through the platform, they're trusting it to handle everything: finding the right experience, processing payment and personalising what comes next. That trust depends entirely on a technology platform that performs reliably at scale.

Chiamaka Ibeme, Engineering Manager for Platform at Luxury Escapes, carries much of the responsibility for that reliability. Her team owns the infrastructure, developer experience, DevOps, CI pipelines and security underpinning the full customer journey. As the business grew, so did the complexity of the AWS environment they managed, spanning 25 accounts and a diverse set of services including Amazon Aurora, Amazon ElastiCache, Amazon OpenSearch Service and AWS App Mesh.

Chiamaka knew the estate needed more rigour. Cloud spend had reached approximately 500,000 Australian dollars per month, and the tools and processes her team relied on weren't built for an environment of that scale. Without better visibility and tighter governance, cost could quietly spiral while engineering attention stayed focused on delivery.

"The goal," she says, "was to stay on top of our cloud costs and make sure it doesn't go out of proportion."

See how DoiT helps cloud teams build an automated environment

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What they say

Shasta Cloud

Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.

Paul White, VP of Engineering, Shasta Cloud

Flooid

We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.

Martin Lee, Director of Operations

Finlex

DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.

Milad Rezazadeh, CTO

Hippo

Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.

Eli Zilbershtein, Head of DevOps, Hippo

Island

You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.

Omri Cohen, Director of Engineering, Platform

Claroty

Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.

Jonathan Langer, COO, Claroty

Salt Security

Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.

Kfir Lippmann, CFO, Salt Security

PropertyGuru

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Accrete AI

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Jason Moore, Principal DevOps Engineer, Accrete AI

Akamai

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