AWS News Blog
New – AWS Well-Architected Tool – Review Workloads Against Best Practices
Back in 2015 we launched the AWS Well-Architected Framework and I asked Are You Well-Architected? The framework includes five pillars that encapsulate a set of core strategies and best practices for architecting systems in the cloud: Operational Excellence – Running and managing systems to deliver business value. Security – Protecting information and systems. Reliability – […]
Read MoreNew for AWS Lambda – Use Any Programming Language and Share Common Components
I remember the excitement when was announced in 2014! Four years on, customers are using functions for many different use cases. For example, iRobot is using AWS Lambda to provide compute services for their Roomba robotic vacuum cleaners, Fannie Mae to run Monte Carlo simulations for millions of mortgages, Bustle to serve billions of requests for their digital content. Today, we are introducing […]
Read MoreNew – Compute, Database, Messaging, Analytics, and Machine Learning Integration for 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 deploy them at […]
Read MoreNew – AWS Toolkits for PyCharm, IntelliJ (Preview), and Visual Studio Code (Preview)
Software 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 function using the editor in the console. Now, you can choose from a rich set of tools to build and deploy serverless applications. For example, the […]
Read MoreAWS Cloud Map: Easily create and maintain custom maps of your applications
Companies 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 […]
Read MoreNew – Hibernate Your EC2 Instances
As you know, you can easily build highly scalable AWS applications that launch fresh EC2 instances on an as-needed basis. While the instances can be up and running in a matter of seconds, booting the operating system and the application can take considerable time. Also, caches and other memory-centric application components can take some time […]
Read MoreNew AWS License Manager – Manage Software Licenses and Enforce Licensing Rules
When you make use of commercial, licensed software in the using a BYOL (Bring Your Own License) strategy, you need to make sure that you stay within the provisions of the license, while also avoiding expensive over-provisioning. This can be a challenge when it is so easy to launch instances on demand whenever you need […]
Read MoreAWS Launches, Previews, and Pre-Announcements at re:Invent 2018 – Andy Jassy Keynote
As 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 […]
Read MoreAmazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere
Machine 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 […]
Read MoreAmazon Forecast – Time Series Forecasting Made Easy
The 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, […]
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