“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.”
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.
Loom Analytics Challenges
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.
DuploCloud Solutions
Loom was preparing to scale globally, but its underlying infrastructure wasn’t mature enough to support that growth.
Fortunately, AWS recommended DuploCloud as an automated DevOps-as-a-Service provider with AWS expertise. 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.
Impact for Loom Analytics
With DuploCloud, Loom Analytics gained numerous automated DevOps advantages, including:
- 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.
