Category: *Post Types

Comparing machine learning algorithm performance is fundamental for machine learning practitioners, and data scientists. The goal is to evaluate the appropriate algorithm to implement for a known business problem. Machine learning performance is often correlated to the usefulness of the model deployed. Improving the performance of the model typically results in an increased accuracy of […]

This post was co-written by Michael Wirig, Software Engineering Manager at Grōv Technologies. A substantial percentage of the world’s habitable land is used for livestock farming for dairy and meat production. The dairy industry has leveraged technology to gain insights that have led to drastic improvements and are continuing to accelerate. A gallon of milk […]

This post is contributed by Bill Kerr and Raj Seshadri For most customers, infrastructure is hardly done with CI/CD in mind. However, Infrastructure as Code (IaC) should be a best practice for DevOps professionals when they provision cloud-native assets. Microservice apps that run inside an Amazon EKS cluster often use CI/CD, so why not the […]

Customers who maintain manufacturing facilities often find it challenging to ingest, centralize, and visualize IoT data that is emitted in flat-file format from their factory equipment. While modern IoT-enabled industrial devices can communicate over standard protocols like MQTT, there are still some legacy devices that generate useful data but are only capable of writing it […]

Amazon FSx provides AWS customers with the native compatibility of third-party file systems with feature sets for workloads such as Windows-based storage, high performance computing (HPC), machine learning, and electronic design automation (EDA).  Amazon FSx automates the time-consuming administration tasks such as hardware provisioning, software configuration, patching, and backups. Since Amazon FSx integrates the file […]

Recovering your mission-critical workloads from outages is essential for business continuity and providing services to customers with little or no interruption. That’s why many customers replicate their mission-critical workloads in multiple places using a Disaster Recovery (DR) strategy suited for their needs. With AWS, a customer can achieve this by deploying multi Availability Zone High-Availability […]

Enterprise AWS customers are often managing many accounts under a payer account, and sometimes accounts are closed before Reserved Instances (RI) or Savings Plans (SP) are fully used. Manually tracking account closures and requesting RI and SP migration from the closed accounts can become complex and error prone. This blog post describes a solution for automating […]

One of the use cases we hear from customers is that they want to provide very limited access to Amazon Workspaces users (for example contractors, consultants) in an AWS account. At the same time they want to allow them to query Amazon Simple Storage Service (Amazon S3) data in another account using Amazon Athena over a […]

This post was co-written with Brian Nutt, Senior Software Engineer and Kao Makino, Principal Performance Engineer, both at Snowflake. Transactional databases are a key component of any production system. Maintaining data integrity while rows are read and written at a massive scale is a major technical challenge for these types of databases. To ensure their […]

In this blog post, I show you an interesting approach to implement a Java-based application and compile it to a native image using Quarkus. This native image is the main application, which is containerized, and runs in an Amazon Elastic Container Service and Amazon Elastic Kubernetes Service cluster on AWS Fargate. Amazon ECS is a […]