Category: Amazon EC2

Last year I introduced you to the EC2 Run Command and showed you how to use it to do remote instance management at scale, first for EC2 instances and then in hybrid and cross-cloud environments. Along the way we added support for Linux instances, making EC2 Run Command a widely applicable and incredibly useful administration […]

I introduced you to Amazon Elastic File System (Amazon EFS) last year (Amazon Elastic File System – Shared File Storage for Amazon EC2) and announced production readiness earlier this year (Amazon Elastic File System – Production-Ready in Three Regions). Since the launch earlier this year, thousands of AWS customers have used it to set up, […]

Update (7/13/2017): Since this post was published, IPv6 supported has been extended and now supports 15 Regions and Multiple AWS Services. The continued growth of the Internet, particularly in the areas of mobile applications, connected devices, and IoT, has spurred an industry-wide move to IPv6. In accord with a mandate that dates back to 2010, […]

Have you ever had to decide between a general purpose tool and one built for a very specific purpose? The general purpose tools can be used to solve many different problems, but may not be the best choice for any particular one. Purpose-built tools excel at one task, but you may need to do that […]

I have written about the benefits of GPU-based computing in the past, most recently as part of the launch of the P2 instances with up to 16 GPUs. As I have noted in the past, GPUs offer incredible power and scale, along with the potential to simultaneously decrease your time-to-results and your overall compute costs. […]

Earlier today, AWS CEO Andy Jassy announced the next wave of updates to the EC2 instance roadmap. We are making updates to our high I/O, compute-optimized, memory-optimized instances, expanding the range of burstable instances, and expanding into new areas of hardware acceleration including FPGA-based computing. This blog post summarizes today’s announcements and links to a […]

In-memory processing is a huge deal. With workloads growing larger by the day and CPUs gaining power with every successive generation, the ability to fit entire datasets into memory is becoming a prerequisite for high-quality Business Intelligence, analytics, data mining, and other real-time workloads that are sensitive to latency. Distributed caching and batch processing workloads […]

AWS customers love the cost-effective, burst-based model that they get when they use T2 instances. These customers use T2 instances to run general purpose workloads such as web servers, development environments, continuous integration servers, test environments, and small databases. These instances provide a generous amount of baseline performance and the ability to automatically and transparently […]