instances M4 Amazon Web services, Inc. (AWS) announced the next generation of Amazon Elastic Compute cloud (Amazon EC2) instances General Purpose cloud. M4 bodies would deliver processing power with measurement Haswell processors 2.4 GHz Intel Xeon E5-2676.
The new cloud M3 instances also offer dedicated bandwidth to Amazon Elastic Block Store (Amazon EBS), and provide Enhanced Networking for the package top per second (PPS) performance, low network jitter, latency and lower network. M4 with setting enhanced network deliver up to 4 times the packet bodies of improved rate without network, while ensuring a constant latency, even under high IO system.
M4 instances are well suited for a wide variety of applications, including relational databases and memory, game servers, caching fleets, batch processing, and applications company such as SAP and Microsoft SharePoint.
AWS Management Console
customers can launch M4 instances using the AWS Management Console, Command Line Interface AWS (CLI) AWS SDKs, and third-party libraries. M4 is available in five different instance sizes ranging from 2 virtual CPUs (vCPUs) with 8 GB of memory (m4.large) to 40 vCPUs and 0 GB of memory (m4.10xlarge) and are available in the US East (N. Virginia), US West (Oregon), US West (Northern California), EU (Ireland), US West (Germany), Asia Pacific (Singapore), Asia Pacific (Tokyo), and Asia Pacific (Sydney) regions.
"Amazon EC2 provides a complete selection of instances to support virtually any workload, and we continue to offer new technologies and high performance in our bodies the current generation "said Matt Garman, vice president, Amazon EC2, AWS ." M4 instances bring new capabilities to the family General objective through the use of an Intel Haswell processor and custom sizes larger instance. We are also pleased to offer better network performance with dedicated bandwidth to Amazon EBS and improved networking, an Amazon EC2 functionality we provide, for the first time, to general purpose bodies. with these features M4 is one of our most powerful types of bodies and an excellent choice for workloads requiring a balance calculation, memory and network resources. "
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