Virora’s EKS cluster was upgraded to the latest Kubernetes version without downtime, enhancing security, resolving vulnerabilities, and maintaining cost efficiency through rolling updates and optimized resource management.
IAMOPS upgraded BrightPay’s backend applications from Java 11 to Java 17 using a lab environment for testing, improving application performance by 15%, increasing Jenkins build success rates, and reducing memory usage by up to 15%.
IAMOPS implemented isolated environments for each PR using AWS and Kubernetes, eliminating shared environment conflicts, boosting productivity by 35%, cutting database costs by 20%, and accelerating PR merging by 25%.
IAMOPS transitioned Cylent’s Java testing environment from Windows to Linux, cutting CPU usage by over 60%, reducing monthly costs by 75%, and improving build success rates to 84%, ensuring faster, more efficient testing.
IAMOPS transitioned workloads to GCP Spot instances, saving $11,214 per month while ensuring operational continuity with auto-scaling, robust CI/CD automation, and resilient architecture.
For our client, IAMOPS designed a secure file distribution system leveraging AWS services like S3, API Gateway, and VPC endpoints. The solution eliminated public access, safeguarded sensitive data, and maintained strict compliance with industry regulations.
By configuring DynamoDB autoscaling and fine-tuning capacity thresholds, IAMOPS reduced throttling for Sociavia, improved application responsiveness, and cut costs through dynamic resource management.
IAMOPS implemented a structured CI/CD workflow for Glomaxia, integrating QA validation and automated testing in feature branches. The use of Azure App Service’s staging slots ensured high-quality releases without additional costs while enhancing transparency and deployment efficiency.
IAMOPS automated BrightPay’s latency reporting by integrating AWS Lambda, Athena, and EventBridge, providing consistent weekly and monthly insights on API performance, reducing manual workload, and enabling proactive issue identification.
IAMOPS integrated Apache Airflow with KEDA for event-driven scaling, optimizing resource usage for variable task loads. This solution improved scalability, reduced costs during idle times, and ensured stable, efficient workflow management.
