Thank you for your interest. We've emailed you the case study.
Feel free to check our latest case studies and blogposts. For more information, please proceed to the home page.
Our latest case studies
Delivering Resilient Cloud Operations for Logistics with Managed Services
Industry Transportation & Logistics CloudAWSOfferingManaged cloud services About the client The client is a multinational enterprise in the global transportation and logistics sector, specializing in large-scale container shipping. With a global operational footprint, thousands of shipping routes, and an annual revenue of USD 30+ billion, the organization serves customers worldwide through an extensive network of[...]
Strengthening Cloud Operations for a Leading Financial Services Provider with Managed Services
Industry Financial Services / NBFC CloudAWSOfferingManaged services About the client A leading Non-Banking Financial Services Company (NBFC) offering small business loans and mortgage loans to eligible borrowers. As the business scaled, the organization needed to improve operational efficiency and address infrastructure reliability issues that existed in its on-premises data centers. AWS Partner 1CloudHub had earlier[...]
From On-Premises Data Center to Cloud: Five Star’s Strategic Shift to AWS Cloud Boosts Business Resilience
We at 1CloudHub successfully containerized an identified application, optimizing the cloud resources used by the application, for continuous delivery.
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).
