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Our latest case studies
Elevating Financial Operations & Security with AWS Migration
Industry Financial Solution CloudAWSPublished OnDec, 2024 About the client A leading financial services firm, aims to migrate its on-premises infrastructure to AWS to enhance security and align with financial industry compliance standards. The project involves assessing the current infrastructure, deploying AWS landing zone, designing a secure AWS architecture with VPCs, encryption, IAM policies, and threat[...]
Migration of SAAS Smart Carbon Measurement and Management Platform from Azure to AWS
Industry Carbon Measurement and Management CloudAWSPublished OnDec, 2024 About the client A prominent enterprise-grade SaaS platform specializes in smart carbon measurement and management. It provides comprehensive solutions to track and manage carbon emissions, enabling organizations to efficiently monitor, measure, and reduce their carbon footprint. Project Requirements: A leading SaaS provider in carbon management seeks to[...]
Seamless Migration of Core Banking Applications (LOS, LCS, LMS) from On-Premises to AWS Cloud
Industry Financial Services CloudAWSPublished OnDec, 2024 About the client A leading provider of financial services, is set to migrate its on-premises infrastructure to AWS to strengthen security and ensure compliance with industry regulations. The project involves assessment of the existing infrastructure, followed by the deployment of an AWS landing zone. A secure AWS architecture will[...]
Our latest blog posts
Revolutionizing Document Processing with 1CH and Amazon Textract
In this blog, We will explain how 1CH improvised the functionality of Amazon Textract by developing a custom workflow solution by integrating with AWS Step Functions, AWS Lambda and AWS SNS making the above super-sized documents process easier and quicker.
Train and host custom-built Scikit-Learn model container in Amazon SageMaker
How we can create our own container and import our custom Scikit-Learn model onto the container and host, train, and inference in Amazon SageMaker
Accessing Amazon DynamoDB using AWS SDK for Python (Boto3)
How an item in Amazon DynamoDB can be accessed using AWS CLI and AWS SDK for Python (Boto3).
