AWS

(AWS) Amazon Web Services is one of the largest cloud computing platforms. AWS offers universally featured resources starting from infrastructure to machine learning. Amazon web services helps in lowering capital incentives without compromising productivity. The AWS products and services that have become available recently include a cost anomaly detection tool, a new machine learning-powered service, and others. All these products and services make it easier to improve the application’s working performance and availability.

10 new AWS tools of 2021

Amazon EC2 X2gd

The AWS next-generation of memory-optimized include Amazon EC2 X2gd that is powered by AWS-design, Arm-based Graviton2 processors. It is built on the AWS Nitro System. The product was announced in March. Compared to the current generation x86-based X1, the EC2 X2gd delivers up to 55 percent better price-performance for memory-intensive capacities.  The EC2 X2gd supports memory-intensive capacities that include in-memory databases such as Redis and Memcached, data warehousing applications such as Amazon Redshift and electronic design automation, relational databases such as MySQL and PostgreSQL. The new EC2 is available in 8 sizes and in plain metal form.

AWS Cost Anomaly Detection

In order to help customers screen their AWS cloud expenditure, Amazon web services Cost Anomaly Detection provides mechanized cost anomaly detection and root cause analysis. It uses a multi-functional machine learning model that studies customers’ unique, historic AWS spending patterns to identify one-time cost spikes or continuous increases in cost. AWS’s learning models automatically determine variance thresholds and therefore, customers don’t have to define them. AWS sends variance detection reports with root-cause analysis that includes the account ID, the service that is responsible for the anomaly, the acuteness, duration, etc.

Amazon Lookout for Vision

It is a machine learning service that identifies and detects irregularities in visual representations. It was launched in February. It uses Amazon web services-trained computer vision models to examine images and video streams to find errors and irregularities in manufactured products, damage to vehicles or structures, and flaws in silicon wafers or any physical item where quality is crucial, such as a missing capacitor on printed circuit boards. Amazon Lookout for Vision uses a machine learning method called “few-shot learning” to train a model for a customer using as few as 30 baseline images. The service is innovative enough to maintain high accuracy with modifications in camera angle, poses, and lighting arising from changes in work environments.

AWS Proton

It became available in June. It is a completely succeeded delivery service that generates and manages uniform infrastructure and depositions tooling for developers and their serverless and container-based applications. Amazon web services Proton is designed for customers to deploy and monitor microservices which are the basis of serverless and container-based applications. It provides management tools, governance, and visibility needed for constant standards and best practices for managing positionings and distributions.

Amazon ECS Anywhere

Amazon Elastic Container Service (Amazon ECS) became available to all AWS customers in 2015. It is a cloud-based, fully controlled container configuration service. Now it has a new extension that enables customers to organize inherent Amazon ECS tasks in any environment. Amazon ECS Anywhere, became generally available in May this year. Amazon ECS Anywhere allows users to simply and effortlessly function and control container-based applications on virtual machines, basic metal servers, and other customer-managed infrastructure. Benefits of Amazon ECS Anywhere include reduced cost and intricacy when running container workloads such as data processing.

AWS App Runner

The AWS App Runner was launched in April. It is the simplest and easiest way for developers to rapidly create and run their web applications in AWS without having past cloud infrastructure experience. To make it easier and simpler for customers to deploy from source code or a container image directly to a scalable and secure web application, this Amazon web services App Runner is designed. App Runner links directly to the customer’s code or an image source and provides high performance with security.

AWS Application Migration Service (AWS MGN)

It is introduced in May. The AWS MGN is a highly mechanized solution that abridges, accelerates, and reduces the cost of drifting on-premises to AWS. This service enables the customers to transfer applications to Amazon web services without making any changes to the applications or the drifted servers. AWS now recommends Amazon web services MGN as the primary migration service for lift-and-shift migrations to Amazon web services. AWS MGN is based on the CloudEndure Migration’s technology and has parallel capabilities, but it is available on the AWS Management Console, allowing continuous integration with other Amazon web services, such as Amazon web services CloudTrail, Amazon CloudWatch, and AWS Identity and Access Management.

Amazon DevOps Guru

The service became generally available in May. It recognizes possible operational issues to help developers enhance the performance and accessibility of their operational applications before creating an impact on the customers. It uses machine learning to examine operational data and application metrics and events to recognize behaviors that diverge from normal operating forms and could cause possible outages or service interruptions. When DevOps Guru identifies an operational issue or risk, users are alerted through Amazon Simple Notification Service notification, a CloudWatch event, or third-party tools such as Slack.

Amazon FinSpace

It is a data management and analytics service that is created to make it easier and simpler to store and formulate financial industry data at scale. Amazon FinSpace mechanizes the process for searching data, formulating it for analysis, storing, and shaping it using industry and internal data classification conventions. For example, analysts can connect to the Amazon FinSpace web interface to hunt for data by using acquainted business terms such as “S&P 500,” “CAC 40” or “private equity funds in euros.

Amazon S3 Object Lambda

The Amazon S3 Object Lambda is introduced by Amazon web services in March. It gives customers the ability to use their code to execute data while making it simpler and easier to share and transfigure data across multiple applications. Amazon S3 Object Lambda serves with their prevailing applications and uses AWS Lambda functions to automatically execute and convert the data, without having to alter application codes. Amazon S3 Object Lambda enables users to easily present multiple insights from the same dataset and update the Lambda functions to amend the insights at any time.