Amazon Web Services

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Amazon Web Services

For the tenth year in a row, Amazon Web Services (AWS) has been named Gartner’s Cloud Leader. The AWS cloud offers a wide range of IaaS, PaaS, and SaaS services and extensive capabilities for hybrid IT architectures. The AWS service is helpful for:

  • Businesses of a specific size
  • Hyperscale business IT infrastructures must be globally spread.
  • Small and medium-sized enterprises
  • Interested in a variety of specialist cloud services.
  • Providers of software as a service
  • It is dedicated to the creation of scalable and highly accessible SaaS solutions.

Amazon Web Services (AWS) is a cloud computing service offered by Amazon.EC2 is a service provided by Amazon. Virtually any demand may be supported with secure and resizable computational capacity.

Amazon Elastic Computation Cloud (Amazon EC2) is a cloud computing service that offers safe. Scalable compute power. It’s intended to make web-scale cloud computing more accessible to programmers. The easy web service interface of Amazon EC2 allows you to get and set capacity quickly. It gives you total control over your computer resources and will enable you to run on Amazon’s tried-and-true computing infrastructure.

With choices in processor, storage, networking, operating system, and buying model, Amazon EC2 is the most comprehensive and comprehensive computational platform available. We have the fastest processors in the Cloud and are the only Cloud with ethernet networking speeds of 400 Gbps. For machine learning training and graphics workloads, we have the most powerful GPU instances in the Cloud and the lowest cost-per-inference instances. AWS hosts more SAP, HPC, Machine Learning, and Windows workloads than any cloud provider.

Auto-scaling on Amazon EC2:

Add or remove compute capacity to meet changing demand Amazon EC2 Auto Scaling assists you in maintaining application availability by automatically adding or removing EC2 instances based on your defined circumstances. EC2 Auto Scaling’s fleet management capabilities can help you keep track of your fleet’s health and availability.

You may also leverage EC2 Auto Scaling’s dynamic and predictive scaling features to add or delete EC2 instances. Predictive scaling automatically plans the correct number of EC2 models based on projected demand, while dynamic scaling adapts to changing directions. Both active and predictive scaling can be employed simultaneously to grow more quickly.

Benefits

TOLERANCE FOR FAULTS SHOULD BE INCREASED
When an instance becomes unhealthy, Amazon EC2 Auto Scaling can recognize it, terminate it, and replace it with a new one.

INCREASE THE NUMBER OF APPLICATIONS AVAILABLE
Amazon EC2 Auto Scaling guarantees that your application has the proper amount of computation at all times, and Predictive Scaling allows you to supply capacity ahead of time.

LOWER PRICES
Amazon EC2 Auto Scaling adds instances just when needed, and it may scale across purchasing choices to improve performance and save costs.

AWS Elastic Beanstalk is a simple tool for delivering and scaling web applications and services written in Java,.NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers like Apache, Nginx, Passenger, and IIS.

Upload your code, and Elastic Beanstalk will cover everything else, including capacity provisioning, load balancing, auto-scaling, and application health monitoring. At the same time, you retain complete control over the AWS resources that power your application and may access them at any time.

Elastic Beanstalk is entirely free; you pay for the AWS resources you need to store and operate your apps.To begin, it’s quick and easy.

Elastic Beanstalk is the quickest and most straightforward way to launch your application on Amazon Web Services. You upload your application using the AWS Management Console, a Git repository, or an integrated development environment (IDE) like Eclipse or Visual Studio. Elastic Beanstalk takes care of capacity provisioning, load balancing auto-scaling, and application health monitoring. Without any infrastructure or resource configuration effort on your part, your application will be ready to use in minutes.

Developer productivity Elastic Beanstalk handles the application stack (platform) and administers the infrastructure for you, so you don’t have to invest time or build knowledge.

It will also keep the underlying platform that your application is operating on up to date with the most recent fixes and upgrades. Instead of spending time maintaining and configuring servers, databases, load balancers, firewalls, and networks, you can focus on developing code.

IT’S IMPOSSIBLE TO GROW OUT OF IT:
Elastic Beanstalk automatically scales your application up and down based on its individual needs using readily customizable Auto Scaling parameters. CPU utilization measurements, for example, can trigger Auto Scaling operations. Your application can accommodate peaks in workload or traffic using Elastic Beanstalk while lowering expenses.

COMPLETE RESOURCE MANAGEMENT
You may choose the AWS resources that are best for your application, such as the Amazon EC2 instance type and processor type to execute the job on. You also have complete control over the AWS resources that power your app.

AWS Outposts Family: Overview of the AWS Outposts Family

For an entirely consistent hybrid experience, AWS Outposts is a collection of fully managed solutions that offer AWS infrastructure and services to nearly any on-premises or edge location. Outposts solutions enable customers to expand and run native AWS services on their premises. They are available in several form factors, ranging from 1U and 2U Outposts servers to 42U Outposts racks, as well as multiple rack deployments.

You may use AWS Outposts to operate some AWS services locally while also connecting to a wide range of services in the local AWS Region. Use familiar AWS services, tools, and APIs to run apps and workloads on-premises. Workloads and devices that require low latency access to on-premises systems, local data processing, data residency, and application migration with regional system interdependencies are supported by outposts.

Benefits

Extend AWS computation, networking, security, and other services on your premises for low latency, local data processing, and data residency requirements.

Infrastructure that is fully managed

With a completely managed experience, you may save time, costs, operational risk, and maintenance downtime while managing IT infrastructure.

A truly consistent hybrid experience

To deliver a genuinely consistent developer and IT operations experience, use the same physical infrastructure, APIs, tools, and management controls accessible in the Cloud.

Batch on AWS:
AWS Batch allows developers, scientists, and engineers to conduct hundreds of thousands of batch computing activities on AWS quickly and easily. Based on the volume and particular resource needs of the batch tasks submitted, AWS Batch dynamically supply the appropriate number and kind of computing resources (e.g., CPU or memory optimized instances).

AWS Batch eliminates the need for third-party commercial or open-source batch processing solutions because it is fully managed. There is no need to install or administer batch applications or servers. AWS Batch takes care of all the infrastructure, so you don’t have to worry about deploying, administering, monitoring, or scaling your batch processes.

AWS is integrated.
AWS Batch is tightly connected with the AWS platform, allowing you to use the platform’s scalability, networking, and access management features. This makes it simple to execute tasks that fetch and write data to and from AWS data stores like Amazon S3 and Amazon DynamoDB safely and securely. AWS Batch may also be operated on AWS Fargate for a serverless design that eliminates computing infrastructure management requirements.

Provisioning of resources at a reduced cost
Based on the volume and resource needs of the submitted batch jobs, AWS Batch allocates compute resources and optimizes work distribution. AWS Batch dynamically grows computing resources to whatever size necessary to perform your batch processes, removing the limitations of fixed-capacity clusters. AWS Batch will use Spot Instances or submit your batch processes to Fargate Spot on your behalf, significantly lowering the cost of running them.

Overview of the AWS Snow Family:
Today, more applications are going to the Cloud than ever before. A new class of applications need enhanced capabilities and performance at the Cloud’s edge, or perhaps beyond the network’s edge.

AWS delivered edge infrastructure and software that puts data processing and analysis as near as possible to where data is produced, resulting in intelligent, real-time responsiveness and reduced data transport volume. This includes installing AWS managed hardware and software outside AWS Regions and even outside AWS Outposts.

Customers who need to perform operations in sparse, non-data centre settings or places with inconsistent network access can use the AWS Snow Family. AWS Snowcone, AWS Snowball, and AWS Snowmobile are members of the Snow Family, which includes a variety of physical devices and capacity points, the majority of which have built-in processing capabilities. These services aid in the physical movement of data up to exabytes into and out of AWS. AWS owns and manages the Snow Family devices, which connect with AWS security, monitoring, storage management, and compute services.

Storage:
Amazon Simple Storage Service (Amazon S3): Amazon S3 is an object storage service that provides industry-leading scalability, data availability, security, and performance. Customers of all sizes and sectors can store and safeguard nearly any amount of data for use cases, including data lakes, cloud-native apps, and mobile apps. You can minimize expenses, organize data, and establish fine-tuned access restrictions to suit particular business, organizational, and compliance requirements with cost-effective storage classes and easy-to-use administration tools.

Amazon Elastic Block Store (EBS):
Lets you build storage volumes and connect them to Amazon EC2 instances. Once attached, you may utilize these volumes to establish a file system, operate a database, or use them in any other manner that block storage is used.

Amazon EBS volumes are automatically duplicated in a specified Availability Zone to safeguard you against the failure of a single component. All EBS volume types support long-term snapshots and are meant to provide 99.999 per cent availability.

Amazon EBS offers a variety of storage performance and cost optimization solutions for your workload. SSD-backed storage for transactional workloads, such as databases and boot volumes (IOPS mainly determines performance), and HDD-backed storage for throughput-intensive workloads, such as MapReduce and log processing (MB/s primarily determine performance).

Our highest performance io2 Block Express volume is the first SAN in the Cloud. Block Express is a next-generation storage server architecture that delivers the most incredible block storage performance without the cost or complexity of procuring, scaling, and maintaining expensive on-premises storage systems. You can achieve sub-millisecond latency and create a single io2 volume with up to 256,000 IOPS, 4,000 MB/second throughput, and 64 TB of capacity with io2 volumes running on Block Express—a 4x boost in performance, throughput, and capacity for current io2 books. Oracle databases, SAP HANA, Microsoft SQL Server, InterSystems database, and SAS Analytics are appropriate for the biggest, most I/O-intensive, mission-critical installations of io2 Block Express volumes.

Throughput Optimized HDD (st1) for often accessible, throughput heavy applications and Cold HDD (sc1) for less frequently accessed data are two types of HDD-backed volumes.

Elastic Volumes is an Amazon EBS feature that allows you to dynamically expand capacity, optimize performance, and change the type of live volumes without experiencing any downtime or performance degradation. This makes it simple to right-size your deployment and adjust to changes in performance.

Amazon Web Services’ Most Common Use Cases:

  • EC2 containerization of legacy apps
  • Cloud app development and cloud-native IT infrastructure installation.
  • AWS messaging, gateway, and queueing services for app integration.
  • AI, big data, IoT, computer vision, and other sophisticated AWS components in cloud app development
  • Private virtual Cloud (AWS VPC).
  • Amazon CloudFront provides edge caching and worldwide content delivery.

Enterprise cloud hybrid

  • AWS Systems Manager allows you to manage hybrid IT infrastructures from a single location.
  • Using AWS Outposts to run AWS services and tools on-premises.
  • AWS Security Hub provides unified security management for Cloud and on-premises IT components.

Data analytics and DWH

  • Analytics and hyper-scale data warehouses (Amazon RedShift).
  • Native and third-party solutions for big data analytics (Amazon ElasticSearch, Amazon EMR).
  • Amazon Forecast provides predictive analytics.
  • Machine learning model creation, training, and deployment.
  • AWS Database Migration Service automates database migration.