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.
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What they say
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
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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.
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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.
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Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.
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DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.
Dr. Anish Kapur, Founder & CEO, Promptly
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