Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
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.
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.
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.
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.
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.
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.
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
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.
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."
Explore how Cloud Intelligence™ and ClodFlow help teams improve visibility, governance, and unit economics across cloud environments.
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
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
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
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
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
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
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
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
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