Last week, Amazon Web Services (AWS) released its largest ever virtual server for its Elastic Compute Cloud (EC2). The 2TB X1 instance was originally announced by AWS CTO, Werner Vogels last year at the 2015 AWS RE:Invent conference, and aims to make AWS more usable for enterprise applications and massively large data sets.
Amazon Web Services (AWS) release new X1 instance
Just take a minute to think about just how big 2TB is for an EC2 instance. The new X1 instance’s 2 TB of DDR4 memory, is eight times greater than any other instance offered for EC2. Amazon see this new release as a way to effectively target more enterprise clients and compete with the likes of Microsoft Azure in this space. The X1 instance will make AWS more usable for enterprise applications and will allow them to handle large data sets easily.
Amazon state that, compared to other EC2 instances, X1 instances have the lowest price per GiB of RAM, and are ideal for running in-memory databases like SAP HANA, big data processing engines like Apache Spark or Presto, and high performance computing (HPC) applications. X1 instances are certified by SAP to run production environments of the next-generation Business Suite S/4HANA, Business Suite on HANA (SoH), Business Warehouse on HANA (BW), and Data Mart Solutions on HANA on the AWS cloud.
According to AWS, the X1 EC2 instances are only currently available in the following regions: US East (North Virginia), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), and Asia Pacific (Sydney); but more will be coming in the future.
AWS EC2 Scheduling
Most industry experts recommend that all AWS users should use some form of scheduling solution for switching on and off EC2 instances to optimize costs, the problem is AWS don’t really help customers do this without a scripting solution. CloudRanger will help you automate the scheduling of your AWS EC2 instances including the new X1 instances. We do all of this without the need for scripting, with prices starting from $29 per month.
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Feature Image Source: Techcrunch.com