Autodesk creates design software that requires significant compute capacity for rendering. For Autodesk, the Rendering-as-a-Service (RaaS) workload was its single largest when measured by total spend. The company now relies on Amazon EC2 Spot Instances for significant cost savings on its RaaS function.

Startup Pratilipi attracts more than six million monthly active users, with its nine-person engineering team conducting 4,500 code deployments in a year after migrating to microservices on AWS. Pratilipi operates a storytelling platform for users to upload books, short stories, and essays written in India’s multiple official languages. The company uses Amazon ECS to orchestrate its microservices and Amazon Kinesis to collate user data, which is stored in a data lake built using Amazon S3.

MilesWeb migrated its websites to AWS—reducing latency by 30 percent and management costs by 30 percent. MilesWeb hosts websites for more than 10,000 customers around the world. The websites run on Amazon Lightsail and Amazon EC2 M5 Instances that includes static IP addresses, server monitoring, solid-state disk block storage, and firewall protection.

Karza Technologies has reduced its IT costs by migrating from its existing CSP to AWS and adopting AWS Lambda. Karza Technologies helps financial institutions screen counterparties more effectively. The company runs its big-data databases like Hadoop, Amazon Elasticsearch, Cassandra and JanusGraph on Amazon EC2, and uses AWS Lambda and Amazon API Gateway for exposing APIs.

Gardens, Libraries and Museums (GLAM) digitized its collections and reduced storage costs by 50-60 percent and avoided a management cost increase of 13 percent with Amazon Web Services (AWS). GLAM consists of four University museums and the Botanic Garden & Harcourt Arboretum. It has created a digital record of its collections, which it stores in Amazon S3 via the AWS Storage Gateway and retains the data long-term in Amazon Glacier.

KNMI launches an IT infrastructure in weeks to tackle airborne hazards using AWS. KNMI is the Dutch national weather service and a partner in the EUNADICS-AV project, whose goal is to make data on airborne hazards, like volcanic eruptions, easily available to airlines. KNMI is using AWS Lambda to run code for processing atmospheric data and Amazon DynamoDB for storing file metadata.

By migrating to the AWS Cloud, JobAdder has saved more than 50 percent on document storage costs and increased the rate of product releases by fourfold. JobAdder is an Australian independent software vendor offering recruiting software that simplifies hiring by automating low-value-added tasks. The company uses Amazon S3 to store 4 TB of documents, AWS Lambda to perform serverless operations such as scanning such documents for malware, and Amazon SNS to support its event-driven architecture.

The Maryland Department of Human Services (DHS) uses AWS to host a new social services delivery platform that drives cross-agency collaboration, improves service delivery to state residents, ensures data integrity, and reduces costs. The organization, through its 24 local departments of social services, provides critical services to more than 2 million residents annually. DHS uses services including Amazon EC2 and Amazon ECS to build and host MD THINK, a secure human services platform.

Neat is complying with Hong Kong financial regulations by keeping customer accounts safe with AWS. The fintech company offers an online alternative to a traditional bank account. The company’s core fintech application is located inside an Amazon VPC and it uses Amazon GuardDuty for threat detection services.

ST Unitas is an EdTech company founded in 2010 with a vision of “removing the gap between the world’s rich and poor through education.” ST Unitas generated around 420 billion KRW (360 million USD) in annual sales in just seven years and has approximately 70 leading brands, including Youngdangi (for standardized English tests such as TOEIC and TOEFL) and Gongdangi (for civil service exams). The company also launched an artificial intelligence (AI)-based education service called STELLA in 2018, which was designed to help each student overcome their learning weaknesses, as well as a knowledge platform called CONECTS. With these, ST Unitas is expanding its services from education to knowledge.

Taking over the Princeton Review in 2017, one of the top education institutions in the US, ST Unitas is growing into a global EdTech company. To handle the vast amount of video content and education data, the company is using machine learning on AWS. ST Unitas aims to provide services tailored to its customers’ needs through more organized and stable big data management.