IAMOPS implemented individualized development environments for Sociavia, leading to faster development cycles, reduced merge conflicts, and more efficient code reviews by allowing developers to work independently and debug with ease.
IAMOPS migrated Glomaxia’s infrastructure from Azure to AWS, leading to a 30% cost reduction, 25% better performance, and enhanced scalability. The solution included containerizing .NET applications, automating with Terraform, and optimizing security and monitoring.
AWS WAF with Account Takeover Prevention enhanced Virora’s platform security by safeguarding login pages from brute-force and credential-stuffing attacks, ensuring uninterrupted service and protecting user accounts during high-demand periods.
IAMOPS unified CyvexTech’s secret management by migrating to AWS Secrets Manager and implementing External Secrets operator, reducing deployment failures, minimizing human errors, and accelerating deployment cycles.
BrightPay’s logging practices were enhanced to cut Loki’s resource usage by 30% and achieve 99% accuracy in masking sensitive data, improving system efficiency and ensuring compliance with data security standards.
IAMOPS migrated Freshfruit.ai from long-term IAM User credentials to IAM Roles with OIDC integration, reducing security risks, cutting DevOps workload by 30%, and streamlining access management across environments.
IAMOPS migrated CyvexTech’s infrastructure from ECS to EKS, improving scalability, reducing costs, and enhancing security with automated CI/CD workflows, Kubernetes deployments, and a robust monitoring stack.
Freshfruit.ai improved performance and reduced costs by integrating AWS Lambda with EFS, enabling shared access to dependencies and minimizing S3 operations. This streamlined workflow reduced execution time, simplified deployment, and enhanced dependency management.
Freshfruit.ai’s development cluster restoration time was cut by 4X using automated MongoDB Atlas snapshots, ensuring up-to-date data without disrupting production and improving service stability through AWS Lambda automation.
KEDA enabled Illuminate Tech to dynamically scale microservices based on BullMQ metrics, optimizing resource usage and reducing costs. The autoscaling solution improved performance and operational efficiency while setting up a scalable framework for future growth.
