Amazon Web Services

What is Amazon Web Services?

Here is the answer, Amazon Web Services is an Amazon branch that provides on-demand cloud computing platforms and APIs on a metered pay-as-you-go basis for individuals, firms, and governments.

Here are the few AWS services which can help in empowering businesses to succeed:-

1) Compute

Equally familiar to calculating capacity by the acronym EC2 (Elastic Compute Cloud) — known as instances. Here are offered dozens of instance types with changing capacities and sizes intended for particular types of workloads and applications. Some of the EC2 applications are, EC2 Container Service and EC2 Container Registry – they offer to switch capabilities for working with Docker Containers.

2) Store

For trio data backup, archival, and analytics, Amazon Simple Storage Service (S3) provides practitioners with tremendous scalability and object storage. The room limit is 5 GB and from an organizing point of view, the professional stores his data and files in S3 object inside S3 buckets. With S3, a business saves money via the Infrequent Access storage tier. Amazon Glacier is used for long-term cold storage. Amazon Elastic Block Store provides volumes of storage at the block level in using EC2 instances for persistent storage.

3) The database and the Data Management

Amazon’s Relational Database Service provides the managerial database which embraces big names like Oracle, SQL, PostgreSQL, MariaDB, and abundantly high-performing DB called Amazon Aurora. This also offers a well-managed NoSQL DB, through the Amazon DynamoDB road. An AWS customer may make use of Amazon ElasticCache and DynamoDB Accelerator for real-time applications. An AWS customer can also use the Amazon ElasticCache and DynamoDB accelerator in-memory data caches. The Amazon Redshift also continues to offer a data-warehouse.

4) Migration or Hybrid Cloud

AWS users will be migrating apps, databases, servers, and data into the public cloud. AWS Migration Hub hampers the provision of the location to monitor and manage migrations from on-site to the cloud. The certified will have the knowledge of EC2 Systems Manager, which assists IT, members, in configuring servers and AWS instances at the premises.

5) Networking

VPC, an Amazon Virtual Private Cloud supervises an admin who will have the authority of a virtual network to use a part of the AWS cloud in solitude. New resources for better security within a VPC are automatically provided by AWS. You can build a dedicated connection from an on-premises data center using the AWS Direct Connect.

6) Development Tools and Application Services

In deploying and managing applications and services, the developer can take advantage of AWS command-line tools and SDKs (software development Kits). The Amazon API Gateway softens developers’ work with creation, management, and screening of custom APIs. The AWS practitioner utilizes the AWS CodePipeline and other AWS star services quite well.

7) Management and Monitoring

The configuration of the cloud resource can be actually managed and taken care of instead of via AWS Config and its rules. This helps cut down on improperly configured and unnecessarily expensive distributions of cloud data resources. Using AWS CloudFormation templates which are complied with AWS OpsWorks and Chef for system configurations, you can automate infrastructure.

8) Security and Governance

The huge cloud security service bracket including AWS Identity and Access Management (IAM) technology enables the practitioner to define and manage user access to the resources. He can even create a user directory with Amazon Cloud Directory, or even link cloud resources with AWS Directory Service to an existing MS Active Directory.

9) Big Data Management or Analytics

The professional has hands-on Amazon Elastic MapReduce that provides a Hadoop framework for the proper handling of large amounts of data, while at the same time Amazon Kinesis provides a bunch of tools for processing and analyzing streaming data.

10) Artificial Intelligence

The Amazon AI suite packages and bundles a range of AI model development and platforms required to deliver them. The suite comprises Amazon Lex for chatbot voice and text technology. The AWS Deep Learning AMIs help the professionals create and train customized models on many GPUs or compute-optimized instances. Also included are TensorFlow, and MXNet.

11) Lower Cost Storage Class

This service provides an easy, scalable, elastic file system to be used with AWS cloud services and on-premises for Linux-based workloads. Using Amazon EFS even helps make the set of applications wider.

12) EC2 Bare Metal Instances

These instances can help the programmer get direct access to the underlying server’s Intel Xeon Scalable processor and memory resources. These instances are the best suites, the workloads that require hardware feature set like Intel VT-x to run in non-virtualized environments.


In this article, we get to know the various services and products which are provided by Amazon Web Services in empowering business. There are many pieces of training and certification courses available in the market which you can pursue and enhance your career.

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