Author: Dustin Ward

Amazon Web Services FeedOptimizing the cost of running AWS Elastic Beanstalk Workloads AWS Elastic Beanstalk handles provisioning resources, maintenance, health checks, automatic scaling, and other common tasks necessary to keep your application running, which allows you to focus on your application code. You can now run your applications on Elastic Beanstalk using Amazon Elastic Compute…

Amazon Web Services FeedSafely deploying and monitoring Amazon SageMaker endpoints with AWS CodePipeline and AWS CodeDeploy As machine learning (ML) applications become more popular, customers are looking to streamline the process for developing, deploying, and continuously improving models. To reliably increase the frequency and quality of this cycle, customers are turning to ML operations (MLOps),…

Amazon Web Services FeedField Notes: Inference C++ Models Using SageMaker Processing Machine learning has existed for decades. Before the prevalence of doing machine learning with Python, many other languages such as Java, and C++ were used to build models. Refactoring legacy models in C++ or Java could be forbiddingly expensive and time consuming. Customers need…

Amazon Web Services FeedAWS IoT Device Management increases the limit for concurrent Active Jobs to 1,000 per AWS account per region We’re excited to announce that customers will be able to create up to 1,000 Active Jobs per AWS account per connected region. The prior limit was 100 active continuous jobs and 100 active snapshot…

Amazon Web Services FeedVortexa delivers real-time insights on Amazon MSK with Lenses.io This is a guest post by Lenses.io. In their own words, “Lenses.io is a group of engineers, designers, developers, data analysts, tinkerers, writers, and open-source contributors. We specialize in the democratizing of data technologies. That’s why we developed Lenses.io (Lenses-eye-oh) to help enterprises…