Explore how IAMOPS optimized BrightPay’s CI pipeline, cutting build times from 12-15 minutes to just 4-6 minutes by using pre-cooked Docker images and centralized dependencies. The solution enhanced developer productivity, improved dependency management, and standardized microservice builds.
IAMOPS solved the monitoring limitations of Amazon EKS Fargate by using a sidecar architecture, enabling seamless observability, effective log management, and cost-efficient scaling without DaemonSets.
Freshfruit.ai achieved 20% faster incident response and enhanced security as IAMOPS implemented a role-based authentication solution using AWS Roles and OIDC, ensuring zero downtime during the transition.
IAMOPS implemented a scalable GKE and GitLab-based infrastructure for StarcommIoT, enabling efficient high-volume load testing with 60% cost savings and improved system reliability.
With a real-time alert and monitoring system for Freshfruit.ai, IAMOPS was able to reduce their email bounce rate from 11.46% to 0.22%, ensuring compliance with AWS SES policies and maintaining uninterrupted service.
IAMOPS automated CyvexTech’s release management with a CI/CD workflow, reducing manual efforts, improving consistency, and accelerating time-to-market, resulting in a more reliable and scalable deployment process.
With successful synthetic testing using GitHub Actions and AWS Lambda, CyvexTech was able to have a reliable and automated way to validate their functionality, while identifying and resolving any issues promptly.
To maintain high availability and scalability to meet the demands of Virora’s globally spread users, IAMOPS implemented a migration of Virora’s platform to AWS EKS, leveraging Kubernetes for container orchestration.
The migration of Neuralogitec’s cloud-based infrastructure to an on-premise deployment allowed them to have better control over the latency and improve real-time prediction performance, thereby enhancing operational efficiency.
Checkout how IAMOPS used Jenkins pipeline to automate the deployment of backend and frontend environments on AWS, enabling seamless creation of entire test environments, reducing the time and effort needed for deployment.
