In this article, I am going to discuss Amazon Athena and how we can analyze data stored in S3 using Athena. As you might know, Amazon’s AWS has a lot of services in the field compute, databases, analytics, machine learning, and robotics, one of the most important and popular services is Amazon Athena. By the official definition, “Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.”

In this article, I am going to introduce AWS Athena, a service offered by Amazon which allows users to query data from S3 using standard SQL syntax. AWS is considered to be a leader in the cloud computing world. Almost more than a hundred services are being offered by Amazon which offers competitive performance and cost-effective solutions to run workloads as compared to on-premise architectures. The services offered by Amazon range widely from compute, storage, databases, analytics, IoT, security, and a lot more. One of the popular areas of these services in the Analytics domain. This allows the customer to build architectures that answer key questions to their business decisions.

In this article, I am going to talk about the various EC2 instance types available in AWS. EC2, abbreviated as Elastic Compute Cloud is an IaaS offering from AWS using which customers can provision virtual machines on the cloud using different combinations of CPU, RAM, disk and networking. There are many predefined instance types already available in the AWS console, which makes it extremely easy to spin up a new EC2 instance very easily.

In this article, I am going to explain AWS Billing services and the underlying concepts that one should be aware of while working with AWS. As you know, more and more companies are taking the essential step to migrate their existing applications to the cloud, it has become important for engineers to keep up the pace and learn the technologies of the cloud. In today’s market, AWS and Azure are two of the major cloud providers which are being used mostly. Also, Google Cloud Platform (GCP) is becoming popular, however, the demand for AWS is the highest.

In this article, I am going to explain about the AWS Well-Architected Framework that helps AWS customers to design solutions following best practices while designing the architectures of their solutions. It enables the users to design secure, reliable and high performant cloud applications and workloads. This is more of a theoretical concept that is often advised to be followed while thinking of the architecture of any system. There are five pillars of the AWS Well-Architected Framework that enables customers to evaluate their existing architectures and implement scalable solutions. In this article, we will learn more about those five pillars and the best practices around them. The discussion below is a summarized form of the official whitepaper: AWS Well-Architected Framework.

In this article, I am going to introduce the concept of AWS IAM, also known as Identity and Access Management in AWS. In any cloud service, controlling who has access to the services and how each of the services accesses the other services is an important task. If we do not control the access or restrict then there might be cases of a security breach within the services and we might not be able to track those as well. So as a best practice to restrict or control access within the AWS, there is a special service called IAM that can be used to manage and control almost everything in AWS. It is the permission control system that controls access to the various AWS resources and services.

This article provides a step by step explanation of how to get started with AWS Sagemaker by creating an AWS SageMaker instance for using machine learning related features on AWS Cloud.