AWS DevOps Blog
Category: Serverless
Best Practices for Writing Step Functions Terraform Projects
Terraform by HashiCorp is one of the most popular infrastructure-as-code (IaC) platforms. AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. In this blog, we showcase best practices for users leveraging Terraform to deploy […]
Deploy serverless applications in a multicloud environment using Amazon CodeCatalyst
Amazon CodeCatalyst is an integrated service for software development teams adopting continuous integration and deployment practices into their software development process. CodeCatalyst puts the tools you need all in one place. You can plan work, collaborate on code, and build, test, and deploy applications by leveraging CodeCatalyst Workflows. Introduction In the first post of the […]
Integrating with Aarogya Setu Open API on AWS to ensure a safe workspace
The Indian government announced the Open API Service from Aarogya Setu (ASetu) in August, 2020. It enables organizations and business entities to fetch the COVID-19 risk status of their employees or any other ASetu app users. Most office spaces have a visitor management system that controls access or logs the identities of people entering the […]
Micro ETL pipeline: How to fetch, process, and refresh small data using AWS Lambda and AWS SAM
Whether you are building a data lake, a data analytics pipeline, or a simple data feed, you may have small volumes of data that need to be processed and refreshed regularly. This post shows how you can build and deploy a micro extract, transform, and load (ETL) pipeline to handle this requirement. In addition, you […]
Gaining operational insights with AIOps using Amazon DevOps Guru
Amazon DevOps Guru offers a fully managed AIOps platform service that enables developers and operators to improve application availability and resolve operational issues faster. It minimizes manual effort by leveraging machine learning (ML) powered recommendations. Its ML models take advantage of AWS’s expertise in operating highly available applications for the world’s largest e-commerce business for […]
Automated CloudFormation Testing Pipeline with TaskCat and CodePipeline
Researchers at Academic Medical Centers (AMCs) use programs such as Observational Health Data Sciences and Informatics (OHDSI) and Research Electronic Data Capture (REDCap) to interact with healthcare data. Our internal team at AWS has provided solutions such as OHDSI-on-AWS and REDCap environments on AWS to help clinicians analyze healthcare data in the AWS Cloud. Occasionally, […]