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Tailor Brands Cuts AWS Costs 35%

DoiT migrated most EC2 workloads to Spot Instances and added CloudWatch and CloudHealth visibility, freeing the 30-person engineering team to ship product.

Meet Tailor Brands

Tailor Brands is an automated platform that uses AI to enable small businesses to launch and run their business, starting with a logo and branding, and includes all of their online presence such as domain, website, business mailbox, social media assets, and more. Over 26,000,000 companies currently use the service. The AI system learns from every customer, using their likes, dislikes, and adjustments to fine-tune what it offers similar customers. Tailor Brands has a strong DevOps culture with a 30-person engineering team focused on fast product development, with system updates happening multiple times a day.

The Challenge

Tailor Brands needed to maximize their engineering team's productivity by reducing time spent on infrastructure maintenance. With a relatively small technical team of 30 people and a DevOps culture requiring multiple daily deployments, they wanted to avoid wasting staff time on everyday maintenance tasks and focus on business and application development instead.

The Solution

DoiT helped Tailor Brands migrate most of their Amazon EC2 workloads to Spot Instances across multiple production environments. They also implemented monitoring tools including Amazon CloudWatch and CloudHealth to provide improved transparency into AWS spending, enabling informed cost optimization decisions without disrupting performance or product development.

Results

Achieved 35% cost reduction through strategic migration to Amazon EC2 Spot Instances
Enabled engineering team to focus on product innovation rather than infrastructure maintenance
Implemented real-time spending analysis tools for continuous cost optimization
Improved access to AWS support and guidance for technical issues

We work with DoiT because their expertise helps us use AWS services at a higher level. It's like turbocharging the benefits. The result is my engineers are focused on making the business better, not on the day-to-day of keeping it running. This is what people mean when they talk about working smarter.
Nadav Shatz, Chief Technology Officer

Strategic Migration to Spot Instances

DoiT helped Tailor Brands move most of their Amazon EC2 workloads to Spot Instances to improve efficiencies and reduce costs. This big project covered multiple production environments and achieved a smooth migration from more expensive on-demand instances. The project delivered a 35% cost reduction at deployment, with potential for even higher reductions as the system is fine-tuned. This strategic approach allowed Tailor Brands to maintain performance while significantly reducing infrastructure costs.

Enhanced Cost Visibility and Control

DoiT worked with the Tailor Brands finance team to implement monitoring tools including Amazon CloudWatch and CloudHealth for AWS. This provides improved transparency into AWS spending, enabling teams to identify excessive expenditures in specific areas rather than making general cost statements. The detailed insights allow for informed conversations about cost reduction without disrupting performance or product development, ensuring optimal use of different AWS instance types for maximum value.

Comprehensive AWS Architecture

Tailor Brands runs most of its systems on Amazon EKS to manage clusters, reducing the burden on their engineering team. They use Amazon ElastiCache to reduce database request demands, Amazon Athena on S3 for their data lake, Amazon Redshift for analytical work, and Amazon SageMaker for machine-learning programming. The company is evaluating AQUA for Amazon Redshift, which can speed up queries by up to 10 times, and exploring more managed services to reduce overhead.

Future Growth and Optimization

Tailor Brands is expanding machine learning capabilities to refine customer offerings and improve their one-stop-shop business services. Their systems constantly analyze user customization patterns to inform design and personalization engine improvements. The company plans to expand services for small businesses and improve existing offerings including website design, social media marketing, and printing services. With real-time spending analysis tools in place, they expect even greater returns on their AWS investment.

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What they say

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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