Cloud Intelligence™Cloud Intelligence™

This page is also available in Deutsch, Español, Français, Italiano, 日本語, and Português.

Recurly cuts response times 15% on Google Cloud

DoiT guided Recurly's migration from on-prem to Google Kubernetes Engine, unlocking PCI-compliant scale and faster environment provisioning.

Cloud Intelligence™
Recurly

The Challenge

Recurly needed to migrate its core infrastructure away from on-premises hardware to the cloud. Payment processing services ran on-premises for security purposes, forcing teams to travel to server warehouses for manual fixes. The company's leadership wanted to eliminate on-premises infrastructure to free IT teams to innovate.

The Solution

Recurly chose Google Kubernetes Engine as the only PCI-compliant, fully managed Kubernetes solution available. The company deployed Google Cloud Platform with streamlined access to on-demand compute resources through GKE and Compute Engine. They also implemented Cloud IAM for access management, Cloud Pub/Sub for asynchronous processing, and Stackdriver for log management.

Results

  • 15% decrease in average response times to clients
  • Scaled cluster from 6 nodes to 36 nodes in just minutes instead of hours
  • Reduced environment setup time from months to one week
  • Eliminated dual user management framework and project delays

Having DoiT as a knowledge partner throughout the process was fantastic. DoiT helped us better understand our challenges and goals and provided effective best practices to keep us moving in the right direction.

Jeff Sheldon, VP of Platform and Architecture

Enhanced Productivity and Scaling

When Recurly deployed their production environment, they scaled their cluster from six nodes to 36 nodes in just a couple of minutes—a process that would have taken hours with their previous provider. Faster and more streamlined scaling allows the company to stand up new environments within one week rather than the months it used to take, translating to much faster time to market for services.

Improved Access Management and Security

Recurly took advantage of Cloud Identity and Access Management to eliminate access control challenges. With access to cloud resources being controlled through Cloud IAM, they can provide read access to developers all the way through their production environment, empowering the engineering team to focus on innovation rather than verification and routine tasks. The company also relies on Cloud Pub/Sub for asynchronous processing and Stackdriver for log management.

Partnership with DoiT

Recurly migrated its infrastructure with confidence by tapping into the engineer-to-engineer support offered by Managed Services Provider and Premier Google Cloud partner, DoiT. Given the migration's scope and complexity, Recurly benefited from DoiT's expertise in navigating all facets of the migration. DoiT offered 24/7 support that accelerated the Google Cloud migration while enabling the company to maximize savings and efficiencies.

Future Innovation

After its positive experiences with Google Cloud and DoiT, Recurly is looking to further enhance its infrastructure and employee experiences. Next up for the company is experimenting with data analytics, machine learning, and other Google Cloud solutions. The goal is to enable engineers to innovate through advanced access to cloud technologies that directly support their ideas.

See how DoiT helps cloud teams control spend

Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.

More customer stories

Software Projects

Software Projects accelerates a complex IBM-to-AWS migration with DoiT

3
AWS MAP phases delivered: Assess, Mobilize, Modernize
40
Servers migrated 1:1, preserving the full four-tier topology
2→1
IBM Cloud regions consolidated into a single AWS VPC across multiple AZs
Shasta Cloud

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
Finlex

Finlex cuts cloud costs 50% and ships production AI with DoiT

Over 65%
reduction in cloud infrastructure costs from 2024 - present
40%
cost savings achieved through improved visibility and efficient AI architecture
Hippo

Turning cloud costs into team action at Hippo

Minutes
Time to integrate Attribute™ with AWS
Business unit
Level of cost accountability achieved
Island

Island gains true cost-per-customer visibility, without tagging

$5B
Company valuation
Days
Time to first insights
0
Tags required
Claroty

Claroty unlocks precise customer cost attribution with Attribute™

1,000+
Customers protected worldwide
Days
Time to first granular cost reports
Zero
Disruption to operations during deployment
SaaS Leader

How Customer-Level Cost Attribution Enables Value-Based AI Pricing

$1.3M
in negative-margin revenue surfaced
~360
unprofitable accounts identified
$1.3M
in aggregate losses surfaced

What they say

PicnicAI

“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”

Josh Zarrabi, Infrastructure Engineer

Stefanini

“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”

David Adkins, Director of Software and Platform Engineering

Software Projects

Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.

DevOps Lead, Software Projects

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

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

Accrete AI

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

Akamai

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

Your cloud bill shouldn't be a mystery

Let us show you what ships this week.