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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

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

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

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

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.

Ian Fahey, Senior Analytics Engineer at Loop

You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can

Diana Koshy, Sr. Director of Data Engineering at Kargo

SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.

Devin McGee, Data Engineering Lead at Home Chef

SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform

Blake Baggett, Head of Data Operations at Entain

One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.

Michael Revelo, Manager of data and analytics engineering at ClickUp

Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.

Skyler Chi, SVP, GTM Productivity & Excellence at Exiger

Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.

Edward Mancey, GTM Lead at Synthesia

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