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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

Top Generative AI Use Cases 2024

Top Generative AI Use Cases 2024

As we stand at the precipice of an AI-first world, the onus is on us to prepare for the transformative journey that lies ahead. Join us on a journey to uncover the Top Generative AI Use Cases for 2024 and beyond! Discover how Generative AI can be your industry’s game-changer

Implementing CAPTCHA Control in AWS WAF WebACLv2

Implementing CAPTCHA Control in AWS WAF WebACLv2

Explore how Amazon Web Services’ (AWS) Web Application Firewall (WAF) enhances web application security through CAPTCHA and Challenge actions and how to implement it.

Deploying Hugging Face Models on AWS SageMaker

Deploying Hugging Face Models on AWS SageMaker

Did you know that Hugging Face models can be deployed on AWS SageMaker both through SageMaker Notebook/Studio and from your own laptop, catering to scenarios with and without direct internet access?

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