If you have ever been formally employed or have hired people, you know how vital background checks are, and how their speedy, accurate execution makes life easier for employers and employees alike. One of our clients, a Middle East and Africa (MEA)-based background check company with a global reach spanning 200+ countries, specializes in verifying credentials for medical staff, doctors, and other professionals across diverse industries.
Manual processes: Time-consuming, non-scalable, hampering growth
Before they approached us, the client company relied on manual processes for conducting background checks, depending on verifying information across 1,500 known data sources. As you can imagine, this was a time-consuming and error-prone approach. Further, it was also restricted by the number of employees they had, thus stifling their growth potential. There was a critical need for an entirely different way of doing things - one which enabled them to scale up while ensuring high accuracy, speed, and quality.
Going digital: The way ahead
While migrating from a manual process to a digital workflow felt like the obvious answer, it needed careful planning to not only utilize the optimum set of technologies, but also to weave them together into an efficient, modular solution. After a thorough analysis, we decided to leverage DevOps functionalities on Google Cloud to create a fully digital, AI-driven background check system.
Putting the pieces together
When designing any solution, we follow the below guidelines:
1. Scalability - The solution needed to be able to scale up and down as per the volume of work.
2. Automated delivery - Updates and changes to workflows needed to be made available to end-users in a seamless manner with minimal manual intervention.
3. Efficiency - Like in any cloud-based solution, the resource utilization needs to be kept at a minimum to achieve cost efficiencies.
4. AI integration - Replacing human labour with AI was the essence of achieving speed and accuracy in summarization and verification of information.
5. Simplified monitoring - No solution is complete if you are unable to easily monitor it and tweak it if it is not performing to pre-defined standards.
With these goals in mind, this is how we implemented the final solution:
Scalability with Kubernetes
Set up a Google Kubernetes Engine (GKE) cluster using Terraform.Configured Horizontal Pod Autoscaling (HPA), Vertical Pod Autoscaling (VPA), and Node Autoscaling to efficiently handle fluctuating workloads.
CI/CD with GitLab
AI and NLP integration for data processing
Simplified scheduling and monitoring
Efficient messaging and data exchange
When results speak for themselves
As the saying goes, the proof of the pudding is in the eating. We're happy to confirm that this pudding was truly delicious. Here’s what we accomplished:
Why Choose Truminds for DevOps?
Put simply, our comprehensive DevOps and SRE approach frees your team up from having to manage infrastructure and lets them focus on innovation and customer satisfaction. Here's what sets us apart:
In addition to the points mentioned, we also offer a seamless single-click deployment process for infrastructure management using Terraform scripts. With our pre-configured Terraform resources, we can deploy and manage our infrastructure effortlessly, ensuring consistency, speed, and reliability. This capability further streamlines operations, empowering our team to focus on delivering value rather than getting bogged down in manual configurations or troubleshooting.
