We’ve reduced our costs by 30 percent with AWS, while gaining a broader set of open-source cloud applications and uptimes of 99.98 percent.
Lodewijk Tanamal Chief Technology Officer, Bhinneka

Launched 25 years ago, Bhinneka is an offline retailer in Indonesia that has embraced e-commerce. The company now runs business-to-consumer (b2c), business-to-business (b2b), and business-to-government (b2g) websites, selling office supplies to b2b and b2g customers and a wide range of items including clothing, tools and computers to its b2c audience.

The company developed a hybrid IT architecture that consisted of an on-premises infrastructure integrated with Microsoft Azure. To drive innovation, it wanted to switch from proprietary to open-source software to cut costs and free up resources for artificial intelligence (AI) and machine-learning (ML) projects.

To support its goals, Bhinneka migrated from Microsoft Azure to Amazon Web Services (AWS). Lodewijk Tanamal, chief technology officer at Bhinneka, explains, “AWS gave us better access than Microsoft Azure to cost-effective open-source software that allowed us to drive innovation.”

The internal IT team at Bhinneka easily migrated its cloud-based IT to the AWS Cloud owing to the intuitiveness of AWS, according to Lodewijk. The company now uses Amazon Elastic Compute Cloud (Amazon EC2) to run its websites, payment-processing system, and line-of-business applications. Furthermore, with Amazon Kinesis and Amazon QuickSight, Bhinneka can analyze website data to better understand customer behavior and improve the site’s usability to increase sales.

By migrating to AWS, Bhinneka has reduced its cloud IT overhead. Says Lodewijk, “We’ve reduced our costs by 30 percent with AWS, while gaining a broader set of open-source cloud applications and uptimes of 99.98 percent.”

Bhinneka has also cut software development times in half since moving from Azure to AWS. Says Lodewijk, “Using tools such as AWS Lambda, we have accelerated development and can release new applications 50 percent faster.” This is freeing up resources for developing new inventory-prediction applications and chatbots on the TensorFlow ML framework.

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