Category: News

Earlier this year we made the x1.32xlarge instance available. With nearly 2 TiB of memory, this instance type is a great fit for memory-intensive big data, caching, and analytics workloads. Our customers are running the SAP HANA in-memory database, large-scale Apache Spark and Hadoop jobs, and many types of high performance computing (HPC) workloads. Today […]

Update (June 2019) – This feature is no longer available. If you are running MapReduce jobs on premises and storing data in HDFS (the Hadoop Distributed File System), you can now copy that data directly from HDFS to an AWS Snowball without using an intermediary staging file. Because HDFS is often used for Big Data […]

You have had the power to store your own business, application, and system metrics in Amazon CloudWatch for quite some time (see New – Custom Metrics for Amazon CloudWatch to learn more).  As I wrote way back in 2011 when I introduced this feature, “You can view graphs, set alarms, and initiate automated actions based […]

I like to watch long-term technology and business trends and watch as they shape the products and services that I get to use and to write about. As I was preparing to write today’s post, three such trends came to mind: Moore’s Law – Coined in 1965, Moore’s Law postulates that the number of transistors […]

I would like to extend a very warm welcome to the newest AWS Heroes: Cyrus Wong Paul Duvall Vit Niennattrakul Habeeb Rahman Francisco Edilton Jeevan Dongre The Heroes share their knowledge and demonstrate their enthusiasm for AWS via social media, blog posts, user groups, and workshops. Let’s take a look at their bios to learn […]

As cloud computing becomes the new normal for organizations all over the world and as our customer base becomes larger and more diverse, we will continue to build and launch additional AWS Regions. Bonjour la France I am happy to announce that we will be opening an AWS Region in Paris, France in 2017. The […]

EC2’s M4 instances offer a balance of compute, memory, and networking resources and are a good choice for many different types of applications. We launched the M4 instances last year (read The New M4 Instance Type to learn more) and gave you a choice of five sizes, from large up to 10xlarge. Today we are […]

Our customers use Amazon EMR (including Apache Hadoop and the full range of tools that make up the Apache Spark ecosystem) to handle many types of mission-critical big data use cases. For example: Yelp processes over a terabyte of log files and photos every day. Expedia processes streams of clickstream, user interaction, and supply data. […]