AWS Startups Blog
Tag: Technical Use Cases
Building Managed Services: Architecting Ahana Cloud for Presto with the In-VPC Deployment Model
Ahana is the startup that provides the first cloud-native managed service for Presto, the fast-growing, open source distributed SQL engine. Backed by GV (formerly known as Google Ventures) and Lux Ventures, the Ahana team includes experts in Presto, AWS, and big data. This blog post discusses how AWS users have evolved their big data requirements and how the team architected our managed service offering, highlighting the best practice of providing an “In-VPC” deployment. We hope other infrastructure software startups can benefit from sharing some of the key learnings that led to the launch of Ahana Cloud for Presto on AWS.
IntelloLabs Cuts Down on Fresh Produce Wastage using AI and Computer Vision
$500 billon worth of food is wasted or lost every year, around the world. One billion extra people could be fed if food losses could be halved. We all know technology can do wonders, and its adoption in agriculture is pacing up – that’s where India-based Intello Labs comes in. Their VP of Sales walks us through how they used AWS to create a computer vision-driven solution to help eliminate food waste.
Cost Optimization: How MoneySmart Group Leveraged AWS to “Live and Breathe Efficiency”
MoneySmart lives and breathes efficiency and believes in intelligent use of AWS services to deliver high ROI and keep costs low. Here’s how they’re doing it.
How Care Communication Platform Myo Moved to Amazon EKS
Myo passionately believes in the principle of automatization in every stage of the business development process. That’s why, in 2019, they decided to make the much-needed transition to Amazon Elastic Kubernetes Service (Amazon EKS) on AWS. Josip Medic, a software engineer at Myo, walks us through how they did it.
Using Amazon Redshift & AWS Glue: How Landbay Pivoted to Provide Mortgage Payment Holidays
Chris Burrell, Head of Tech at Landbay explains how the startup used AWS and the power of Amazon Redshift and AWS Glue to adapt quickly during the COVID-19 pandemic to ensure they adhered to government guidelines for mortgage payment holidays.
redBus: Building a Data Platform with AWS & Apache Software Foundation
As future data requirements cannot always be planned much ahead of time, data warehousing effort is generally subdued by first creating a data lake, which is a pool of centralized data ready to be transformed based on use cases. A means for accessing and analyzing this data makes it easier for knowledge workers to make good informed decisions. Here’s how Indian bus ticketing platform Redbus does it.
A Data Lake as Code, Featuring ChEMBL and OpenTargets
AWS Startup Solutions Architect Paul Underwood believes that a data lake is just another complex and heterogeneous infrastructure problem. In this post, he illustrates how you might build a data lake-as-code using the AWS Cloud Development Kit (CDK). Underwood will outline the strategy, core data lake services used, associated costs, and how you can tie it all together with code.
Stedi Simplifies the B2B Transaction Process Leveraging a Serverless-First Architecture
Stedi provides organizations with the ability to quickly connect and transact with trading partners without having to go through painful point-to-point implementations. Leveraging a serverless first architecture, the company provides a completely self-service ‘digital mailbox’ that organizations can use to exchange 300+ different commercial transaction types in standardized formats.
Infinite Scaling of Selenium UI tests using AWS Lambda
HackerEarth is a comprehensive developer assessment software that helps companies to accurately measure the skills of developers during the recruiting process. Kundan Kumar, SDET at HackerEarth walks through how their team leveraged AWS Lambda to scale critical selenium UI tests.
FinTech Startup Tide’s Analytics Platform Journey: Walking through the Past, Present, and Future
Plamen Ivanov, consultant for Tide is deeply involved in redesigning and implementing its Analytics Platform in AWS. In this article, he shares the journey that Tide has been on, architecting the Platform in a way to best serve Tide’s needs. He’ll share the platform’s past — what they faced when the team was formed back in November 2019; the platform’s present — what they achieved in 6 months (Nov 2019 — Apr 2020), and the platform’s future — what they are planning to achieve by the end of the year (2020).