AWS Step Functions is a fully managed workflow service for application developers. You can think & work at a high level, connecting and coordinating activities in a reliable and repeatable way, while keeping your business logic separate from your workflow logic. After you design and test your workflows (which we call state machines), you can […]
0 CommentsSoftware developers have their own preferred tools. Some use powerful editors, others Integrated Development Environments (IDEs) that are tailored for specific languages and platforms. In 2014 I created my first AWS Lambda function using the editor in the Lambda console. Now, you can choose from a rich set of tools to build and deploy serverless applications. […]
0 CommentsSmartBear Recognized as the Vendor Positioned Highest on the Ability to Execute Axis in the Magic Quadrant SOMERVILLE, Mass. – Nov. 29, 2018 – SmartBear, the innovator behind the industry’s highest impact tools to build, test, and monitor great software, was named a Leader in the 2018 Gartner Magic Quadrant for Software Test Automation.[1] Gartner, […]
0 CommentsDALLAS – November 29, 2018 –Trend Micro Incorporated (TYO: 4704; TSE: 4704), a global leader in cybersecurity solutions, today demonstrated the strength of its relationship with Amazon Web Services, Inc. (AWS) through integration with technology, the channel and workforce diversity. “A strong alignment with AWS has contributed to businesses increasingly choosing Trend Micro to protect […]
0 CommentsNew York – November 29, 2018 – Anodot, the autonomous analytics company, today announced the enhancement of its AI/ML solution with the addition of dozens of inbound data collectors which enable its ecosystem of customers to benefit from true self-service detection of business incidents in real-time. Detection of incidents in data and root cause analysis […]
0 CommentsCompanies are increasingly building their applications as microservices (many separate services that each do a single job). Microservices often allow companies to iterate and deploy more quickly. Many of these microservice-based modern applications are built using various types of cloud resources and deployed on dynamically changing infrastructure. Previously you had to use configuration files to […]
0 CommentsAs promised in Welcome to AWS re:Invent 2018, here’s a summary of the launches, previews, and pre-announcements from Andy Jassy’s keynote. I have included links to allow you to sign up for previews, as appropriate. (photo from AWS Community Hero Eric Hammond) Launches Here are the blog posts that we wrote for today’s launches: Amazon […]
0 CommentsMachine learning (ML) is split in two distinct phases: training and inference. Training deals with building the model, i.e. running a ML algorithm on a dataset in order to identify meaningful patterns. This often requires large amounts of storage and computing power, making the cloud a natural place to train ML jobs with services such […]
0 CommentsThe capacity to foresee the future would be an incredible superpower. At AWS, we can’t give you that, but we can help you use machine learning to forecast time series in a few steps. The goal of time series forecasting is to predict future values of time-dependent data such as weekly sales, daily inventory levels, […]
0 CommentsMachine learning definitely offers a wide range of exciting topics to work on, but there’s nothing quite like personalization and recommendation. At first glance, matching users to items that they may like sounds like a simple problem. However, the task of developing an efficient recommender system is challenging. Years ago, Netflix even ran a movie […]
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