Amazon Web Services (AWS) has launched a dashboard for its Arm-based Graviton CPU that will measure savings opportunities in an effort to help enterprises further optimize their expenditure on subscribed infrastructure.
The cloud services provider launched Graviton in 2018 touting its energy efficiency and high performance for cloud workloads. In the last six years, AWS has built four generations of the processor, with the latest being Graviton 4 which was launched earlier this year.
The addition of the Graviton Savings Dashboard will help enterprise users, such as a FinOps practitioner, a product manager, or a software engineer, to plan the migration of existing workloads to Graviton-based instances by offering detailed information, such as performance impacts and cumulative savings, AWS explained in a blog post.
Some of the components of the dashboard include centralized visibility across an enterprise’s accounts and workloads so that the user gets a consolidated view of Graviton adoption across multiple management accounts, member accounts, and AWS regions. The dashboard will also have dedicated tabs to review current Graviton usage and potential savings across compute, and managed services.
As part of the tabs that identify potential savings, the dashboard will offer more information on which workloads to move first.
“The dashboard categorizes Graviton migration opportunities into two main groups: Typically Easy and Requires Additional Planning, for EC2 instances,” the company explained.
How does it work?
The dashboard is an integration of existing AWS services, such as Amazon S3, Athena, and QuickSight.
At the back end, the dashboard first uses AWS Cost and Usage Reports (CUR), the AWS SDK, and the AWS Public pricing API to generate data on usage, cost, and resource inventory, which is stored in Amazon S3.
Next, it analyzes the data stored in S3 using Athena — a serverless query service — to generate insights about potential cost savings. These insights or the results of the query are presented in a visualized format with the help of AWS’ business intelligence tool — Amazon QuickSight.
Enterprises looking to deploy the dashboard can do so via AWS CloudFormation Templates and a “cid-cmd” command line tool, the company said.
However, AWS pointed out that in order to deploy the dashboard, enterprises will need to set up their AWS CUR service, Inventory Collector Module from the Optimization Data Collection lab, and QuickSight.
Further, the cloud services provider revealed that the dashboard typically costs between $50 and $100 per month.
More on offer for optimizing IT expenditure
The dashboard is not the only offering AWS offers to help enterprises optimize their infrastructure spend.
The cloud services provider, at its annual re:Invent conference last week, released several updates, including plans for more energy-efficient Tranium3 chips and new EC2 P6 instances that will feature Nvidia’s new Blackwell chips.
On the model front, AWS CEO Matt Garman unveiled new Nova foundational models, which he said would offer better value, especially in terms of cost, than most rival models.
Additionally, the cloud services provider released updates, such as Model Distillation, and prompt caching to its generative AI platform — Bedrock —aimed at helping enterprises bring down their cost of running large language models (LLMs).
Amazon SageMaker’s AI module also received cost-saving features, including SageMaker Hyperpod’s Flexible Training Plans and Task Governance.
The updates were designed to allow enterprises to utilize at least 90% of their purchased clusters and instances while reducing the time needed to complete LLM training, LLM inferencing, and AI model development tasks.
Source:: Network World