Tag: Danilo Poccia

By using machine learning to analyze historical utilization metrics, AWS Compute Optimizer recommends optimal AWS resources for your workloads to reduce costs and improve performance. Over-provisioning resources can lead to unnecessary infrastructure costs, and under-provisioning resources can lead to poor application performance. Compute Optimizer helps you choose optimal configurations for three types of AWS resources: Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon Elastic Block Store (EBS) volumes, and AWS Lambda functions, based on your utilization data. Today, I am happy to share that AWS Compute Optimizer now supports recommendation preferences where you can opt in or out of features that enhance resource-specific recommendations. For EC2 instances, AWS Compute Optimizer analyzes Amazon CloudWatch metrics from the past 14 days to…

In August, we introduced the general-purpose Amazon EC2 M6i instances powered by the latest generation Intel Xeon Scalable processors (code-named Ice Lake) with an all-core turbo frequency of 3.5 GHz. Compute-optimized EC2 C6i instances were also made available last month. Today, I am happy to share that we are expanding our sixth-generation x86-based offerings to include memory-optimized Amazon EC2 R6i instances. Here’s a quick recap of the advantages of the new R6i instances compared to R5 instances: A larger instance size (r6i.32xlarge) with 128 vCPUs and 1,024 GiB of memory that makes it easier and more cost-efficient to consolidate workloads and scale up applications Up to 15 percent improvement in compute price/performance Up to 20 percent higher memory bandwidth Up…

The first AWS service I used, more than ten years ago, was Amazon Elastic Compute Cloud (Amazon EC2). Over time, EC2 has added a wide selection of instance types optimized to fit different use cases, with a varying combination of CPU/GPU, memory, storage, and networking capacity to give you the flexibility to choose the appropriate mix of resources for your applications. One of the key advantages of the cloud is elasticity. With EC2 Fleet, you can synchronously request capacity across multiple instance types and purchase options, launching your instances across multiple Availability Zones, using the On-Demand, Reserved, and Spot Instances together. With EC2 Auto Scaling, you can automatically add or remove EC2 instances according to conditions you define and add…

Many of our customers (such as Formula One, Honeycomb, Intuit, SmugMug, and Snap Inc.) use the Arm-based AWS Graviton2 processor for their workloads and enjoy better price performance. Starting today, you can get the same benefits for your AWS Lambda functions. You can now configure new and existing functions to run on x86 or Arm/Graviton2 processors. With this choice, you can save money in two ways. First, your functions run more efficiently due to the Graviton2 architecture. Second, you pay less for the time that they run. In fact, Lambda functions powered by Graviton2 are designed to deliver up to 19 percent better performance at 20 percent lower cost. With Lambda, you are charged based on the number of requests for…