Category: Technical How-to

Customers across industries and verticals deal with relational database code deployment. In most cases, developers rely on database administrators (DBAs) to perform the database code deployment. This works well when the number of databases and the amount of database code changes are low. As organizations scale, however, they deal with different database engines—including Oracle, SQL […]

Many AWS customers—startups and large enterprises—are on a path to adopt machine learning and deep learning in their existing applications. The reasons for machine learning adoption are dictated by the pace of innovation in the industry, with business use cases ranging from customer service (including object detection from images and video streams, sentiment analysis) to […]

Kubernetes is an open source system for automating the deployment, scaling, and management of containerized applications. It is especially suitable for building and deploying cloud-native applications on a massive scale, leveraging the elasticity of the cloud. Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service for running a production-grade, highly available Kubernetes cluster on […]

Not many people can say their job revolves around robotics and community, but Katherine Scott is one of them. Katherine Scott—or Kat, as her teammates call her—is a Developer Advocate at Open Robotics, an organization that develops open source software for use with robotics. Part of her job is helping developers stay focused on development […]

This article is a guest post from Mayur Shetty, a Senior Solution Architect within Red Hat’s Global Partners and Alliances organization. According to the 2019 CNCF Survey, 84% of customers surveyed have containers workloads in production, which is a dramatic increase from 18% in 2018. This increase is driven by a customer need to be […]

If you work in data science, you might think that the hardest thing about machine learning is not knowing when you’ll be done. You start with a problem, a dataset, and an idea about how to solve it, but you never know whether your approach is going to work until later, after you’ve wasted time. […]

This article is a guest post from David Kretch, Lead Data Scientist at Summit Consulting. In our previous post, we covered the basics of R and common workload pairings for R on AWS. In this second article in a two-part series, we’ll take a deeper dive on building a document processing application with AWS services. We’ll […]

This article is a guest post from David Kretch, Lead Data Scientist at Summit Consulting. As R workloads grow and become increasingly resource intensive, the ability to move from a local compute environment to scaleable, fully managed cloud services on Amazon Web Services (AWS) becomes extremely valuable for cost, speed, and resiliency reasons. In this two-part […]

This article is a guest post from 418sec co-founders Adam Nygate, Jake Mimoni, and Jamie Slome. Dependency on open source code has grown over the years, and as new open source technologies are introduced, so are more vulnerabilities. Review by “many eyes” helps secure open source software, and depends on exposing the code to as […]

This article is a guest post from Sebastien Goasguen, co-founder of TriggerMesh. Deploying AWS Lambda functions with the serverless framework is arguably the easiest way to deploy functions and configure how they get triggered. If you want to automate your function deployment, you will most likely do so via your CI/CD workflow. A CI/CD pipeline […]