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Delivering DevOps at scale to enterprise clients worldwide is a challenge when you don’t have DevOps engineers on the team. That’s the problem that Loom Analytics was having, and things were about to get even more challenging as they were about to expand their cloud capacity. 

In this case study, we’ll show you how we supported a growing AI-based workflow automation solution company with DuploCloud out-of-the-box automation with AWS.  

Key Takeaways

  • Loom Analytics products automate speech, text, and documents for the transcription, legal, medical, insurance, and business sectors.
  • This is mission-critical work that requires rock-solid infrastructure. The bulk of it runs on AWS. And Loom was about to 4X AWS spending.
  • The problem was that the Loom dev team didn’t include any DevOps specialists, and AWS/DevOps challenges were causing real problems for the team. 

The Challenge

Loom Analytics is a Toronto, Canada-based leading provider of AI-powered workflow automation solutions for the transcription, legal, medical, insurance, and business sectors. 

With a focus on security, accuracy, and efficiency, Loom Analytics delivers cutting-edge tools that enhance productivity and streamline document production processes. 

Claudio, the company’s flagship product, is a fully automated transcription solution that offers tailored workflows for various industries, ensuring over 97% accuracy in first-draft transcripts.

Loom has clients worldwide and runs on AWS-based data servers in the US, Canada, the UK, and Australia. 

Loom’s developers aren’t DevOps engineers—they are product builders who happened to be juggling cloud operations alongside their actual work. The strain was starting to show, and this was impacting productivity and team morale:

  • Team burnout: Loom was experiencing internal team dynamic issues as developers struggled under the dual burden of building features and managing infrastructure.
  • AWS costs increasing 4X: Loom was about to quadruple its AWS spend to support its global expansion. The lack of cloud and DevOps foundations could have put the company’s software delivery at risk.
  • Lack of confidence: Leadership recognized that the current infrastructure wouldn’t reliably support the upcoming global scale.
  • Massive risk: Every outage, every configuration issue, every security concern fell on developers who weren’t trained for that responsibility. 

Mona Datt, the CEO of Loom Analytics, spent three months interviewing DevOps engineers, but kept running into the same wall: “We’re not a DevOps company. There’s no career path here for a DevOps specialist. We couldn’t attract or retain the talent we needed.”

The situation was untenable, especially with a major global expansion on the horizon. Loom was preparing to scale globally, but its underlying infrastructure wasn’t mature enough to support that growth.

Fortunately, Amazon Web Services (AWS) recommended DuploCloud as an automated DevOps-as-a-Service provider with AWS expertise. 

The Solution: DevOps as a Service, with AWS Expertise 

“DuploCloud turned out to be exactly what we needed, a low-code DevOps automation platform that eliminated the need to hire a dedicated DevOps team while giving us enterprise-grade infrastructure”, says Mona Datt, CEO of Loom Analytics.

Here is what changed for Loom Analytics: 

  • Stability replaced the ad-hoc workflows. DuploCloud automated provisioning, Kubernetes operations, security policies, and compliance tasks, removing late-night firefighting that the Loom team had been handling manually. The company’s AWS environments became consistent, predictable, and far easier to manage.
  • Real support when Loom needed it. The dev team established a straightforward process: spend a maximum of 30 to 45 minutes trying to solve a DevOps problem internally. If it’s not resolved, escalate it to DuploCloud. This way, the developer team stops struggling and starts shipping features again.
  • Peace of mind for leadership. Now senior leaders can rest easy knowing Loom’s whole infrastructure isn’t one misconfiguration away from disaster. It also means AWS spending won’t be out of control. 

Ready to explore how we can handle DevOps for AWS and other cloud platforms? Letting us take care of your AWS DevOps will accelerate your growth and help you better serve enterprise customers. Book a demo with us today. 

DevOps as a Competitive Advantage

With DuploCloud, companies like Loom Analytics gain numerous automated DevOps advantages, including but not limited to: 

  • Integrated Experience: All the DevOps tooling and solutions in one place.
  • Reduced Costs: Streamlined deployments and eliminated manual maintenance to lower operational spend.
  • Accelerated GTM: Automated infrastructure provisioning shortens release cycles and lets developers focus on innovation.
  • Infrastructure automation that works across Loom’s global AWS deployment.
  • Built-in compliance and security for the regulated industries that Loom serves.
  • Expert support that acts as the company’s extended DevOps team.
  • Cost optimization that prevented Loom’s AWS spend from spiraling out of control.
  • Developer productivity improves, as the team can refocus on building the product rather than managing AWS servers and configurations. 

Datt says that “since working with DuploCloud, this has been the answer to our DevOps problems. Things are getting much more stable. If one of the team struggles with a DevOps headache for too long, they simply flip it over to DuploCloud. It means we don’t have to worry, and Baral, who’s our head of tech, can sleep peacefully at night.” 

Ready to explore how we can handle DevOps for AWS and other cloud platforms? Letting us take care of your DevOps will accelerate your growth and help you serve enterprise customers better. Book a demo with us today.