AWS is currently the largest cloud provider on the market. This Amazon Web Services tutorial will teach you everything you need to know about AWS, its services, and the advantages of using it. This tutorial is ideal for novices who want to learn about AWS (Amazon Web Services).
In earlier days, companies were utilizing their private servers for creating storage and compute services. But now, as internet speeds get enhanced, big or small companies have started adopting cloud computing and storing their data in the cloud for better performance. As a result, companies can concentrate more on their core competencies. As every company is adopting cloud services and AWS is a leading player, technical aspirants are eager to learn AWS. There are not enough people who know how to work with AWS, and jobs are going unoccupied.
It is evident that AWS cloud skills are and will remain in great demand for years to come. So, professionals who want to be certified AWS experts can join our AWS training. According to ziprecruiter.com, the average salary for a certified AWS professional in the US is around $161K per annum. In this AWS tutorial, you will learn what AWS is and the advantages of using AWS. AWS tutorial also helps you learn AWS services like EC2, S3, Lambda, etc. Before we start, let us have a look at what we will be discussing in this article:
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The full form of AWS is Amazon Web Series. AWS is a platform that allows users to access on-demand services like a virtual cloud server, database storage, etc. It uses distributed IT infrastructure for providing various IT resources. It offers services like packaged software as a service(SaaS), Platform as a Service(PaaS), and Infrastructure as a Service(IaaS).
Cloud Computing is a computing service in which big groups of remote servers meshed to enable centralized data storage and online access to computer resources or services. Following are the types of clouds:
In the public cloud, extrinsic service providers make services and resources accessible to the users through the internet.
Private cloud offers approximately the same features as public cloud, but organizations or third parties manage the services and data. In this type of cloud, the main focus is Infrastructure.
A hybrid cloud is a combination of public cloud and private cloud. According to the sensitivity of the applications and data, we use the Public cloud and private cloud.
Following are the advantages of AWS:
AWS flexibility enables us to select suitable programming languages, models, and operating systems. Therefore we do not need to learn the latest skills for adopting the latest technologies. The flexibility of AWS allows us to migrate the applications to the cloud easily. AWS flexibility is a huge asset for the organizations for delivering the product with upgraded technology.
In the conventional IT organization, we calculate scalability and elasticity with infrastructure and investment. Scalability is the ability to scale the computing services down or up when demand decreases or increases respectively.
Cost is one of the key factors that must be considered in providing IT solutions. Cloud offers an on-demand infrastructure that allows us to use the resources that you genuinely require. In AWS, we are not restricted to a group of resources like computing, bandwidth, and storage resources. AWS does not have any long-term commitment, upfront investment, or minimum speed.
AWS offers a scalable cloud computing platform that gives customers end-to-end privacy and end-to-end security. AWS integrates the security into services and documents for explaining how to utilize the security features.
AWS cloud offers levels of security, privacy, reliability, and scalability. AWS continues to help its customers by improving infrastructure capabilities. AWS has developed an infrastructure according to the lessons taught from the past.
|Related blog: AWS Interview Questions and Answers|
For the following computing resources, we use AWS:
AWS offers a free account for one year for using and learning different components of AWS. Through an AWS account, we can access AWS services like S3, EC2, etc.
Step1: For creating an AWS account, we have to open the link:
After opening the above link, enter the details and sign-up for a new account.
If you already have an account, then we can sign in through Email and password.
Step2: After entering the E-mail, fill the form. Amazon utilizes this information for invoicing, identifying, and billing the account. After account creation, sign-up for the required services.
Step3: To Login for the services, we provide the payment information. Amazon implements a minimum amount of transactions against the card over the file for checking that it is true. This charge differs with the region.
Step4: Next, we perform identity verification. Amazon performs a call back for verifying the given contact number.
Step5: Select a support plan from the plans like Basic, Business, Enterprise, or Developer. The basic plan costs less and has very limited resources, which is helpful to get acquainted with AWS.
Step6: The last step is confirmation. Press the link to log in and switch to the AWS management console.
AWS allocates two unique IDs to every AWS account:
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Identity Access Management(IAM) is a user object that we create in AWS for representing a person who utilizes it with restricted access to the resources.
Step 1: Go to the following link to log in to the AWS Management console.
Step 2: Choose the users option over the left navigation pane for opening the users’ list.
Step 3: We can create new users through the “Create New Users” option, a new window opens. Type the username that we have to make. Choose the create option and create a new user.
Step 4: We can see the Access IDs and secret keys by choosing the “show users security credentials” link. We can save the details on the system through the “download credentials” option.
Step 5: We can handle the security credentials of the user.
AWS Elastic Compute Cloud is a web service interface that offers scalable compute capability in the cloud. EC2 minimizes the time needed to get and restart the latest user instances to minutes instead of older days. If you want a server, then you have to put a purchasing order and perform cabling for getting a new server which is an extremely time-consuming process.
According to the computing requirement, we can scale the compute capacity down and up. AWS EC2 offers the developers the development of robust applications that separate themselves from general scenarios.
AWS Lambda is a compute service that allows us to execute the code without managing or provisioning servers. Lambda executes our code on the compute infrastructure and carries out the administration of the compute resources comprising the operating system and server maintenance, automatic scaling, and code logging. Through Lambda, we can execute our code virtually for any type of backend or application service.
We set up our code into Lambda functions. Lambda executes our functions only when required and scales automatically, from minor requests per day to thousands per second.
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Lamda is a convenient compute service for several application scenarios until we can run our application code through the Lambda standard runtime environment and among the resources that Lamda offers. While using Lambda, you will be responsible
only for your code. Lambda handles the compute fleet that provides a memory balance, network, CPU for running our code.
Following are the important features of AWS Lambda:
Step1: First, open the “Functions Page” over the Lambda console.
Step 2: Select “Create Function.”
Step 3: In “Basic Information,” perform the following:
Step 4: Select “Create function.”
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CloudWatch is a utility that we use to monitor our AWS applications and resources that we run on the AWS in real-time. We use CloudWatch for tracking and collecting the metrics that assess our applications and resources. CloudWatch displays the measures spontaneously about each AWS service that we select.
AWS S3 is a low-cost, high-speed, scalable developed for data archiving, application programs, and online backup. It enables us to download, store, and upload any kind of file up to 5 TB in size. Storage services will allow the subscribers to use the similar systems that amazon utilizes to run its websites.
Following are the steps to configure Amazon S3:
Step 1: Go to the Amazon S3 console
Step 2: Through the following steps, we create the bucket:
Step 3: Insert an object into the bucket through the following steps:
AWS Storage classes maintain data integrity through checksums. We use storage classes to assist the parallel data loss in multiple facilities. Following are the four types of storage classes:
CloudFront CDN is a method of distributed servers that give web content and web pages to a user according to the user’s location, the source of the content delivery server, and the webpage.
Distribution: It is the name of the CDN, which contains a group of edge locations. Creating a new CDN in the network indicates that we are creating Distribution.
Origin: It specifies the origin of all the files which CDN will distribute. The origin can be an EC2 Instance, an Elastic Load Balancer, or an S3 bucket.
Edge Location: It is the location where we cache the content. It is the split of an AWS availability zone or AWS region.
How CloudFront CDN delivers content to the users
After we set up CloudFront to deliver our content, here is what happens when users request files:
Snowball is a data transport solution that utilizes secure appliances for transferring vast amounts of data out of and into AWS. It is a process of taking the data into AWS and evading the internet. In place of handling all the explicit disks, Amazon offered you a tool, and you loaded a tool with the data.
Snowball addresses general challenges for huge-scale data transfers like long transfer time, security issues, and high network costs. Transferring data through Snowball fast, secure, and accessible. Snowball offers 256-bit encryption, tamper-resistant enclosures, and a Trusted platform module to assure security.
Snowball Edge is the 100 TB data transfer device with onboard compute and storage capabilities. It is like an AWS data center that we can bring on-site. We can also use it for moving large amounts of data out of and into AWS.
The full form of VPC is Virtual Private Cloud. Amazon VPC offers a coherently separated AWS cloud where we can start AWS resources in the virtual network that we define. We can have full control over our virtual networking environment, comprising a choice of our IP Address range, the configuration of the route tables, and the creation of the subnets.
Outline represents the region, and the region name is “us-east-1”. Inside the region, we have VPC, and outside VPC, we have a virtual private gateway and internet gateway. Virtual Private Gateway and Internet Gateway are the methods for connecting to the VPC. Both the connections go to the router in the VPC, and the router directs traffic to the routing table. After that, the routing table will direct the traffic to the Network ACL. Network ACL is a firewall or a security group. Network ACL is a state list that allows and denies the roles.
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AWS Direct Connect is a Cloud utility solution that simplifies establishing a reliable network solution from our place to AWS. Through AWS Direct Connect, we can create the connectivity between AWS and our office, data center, colocation environment, which reduces our network costs, increases bandwidth throughput, and offers a consistent network experience than the internet-based connection.
A bastion Host is a particular purpose computer over a host configured and developed to resist the attacks. The computer hosts one application. For instance, we remove a proxy server and other services for reducing the threat to the computer. A bastion host is tempered because of its purpose and location, which is in the demilitarized zone or the outside of a firewall.
In the above architecture, we have private and public subnets. NAT instance is available at the backside of the security group, and NAT gateway is available after the security group since we configure the NAT instance with the security group while NAT gateway does not need any security group. When the instance in the private subnet needs to access the internet, they do it by using NAT Gateway or NAT instance.
The full form of AMI is Amazon Machine Images. It is a virtual image that we use for creating the virtual machine in an EC2 instance. Following are the types of AWS AMI:
Amazon DynamoDB is also called Amazon Dynamo Database or DDB. It is a NoSQL database utility offered by AWS(Amazon Web services). DynamoDB is famous for its latencies and scalability. According to AWS, DynamoDB reduces costs and eases the storage and retrieval of data.
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Following are the components of the Amazon DynamoDB:
Redshift is a rapid and robust, completely managed, and petabyte-scale data warehouse utility in the cloud. We use Redshift for only $0.25 per hour with no upfront costs or commitments and the extent to a $1,000 terabyte per year. Redshift contains two kinds of nodes:
|Related Article: Amazon Redshift Tutorial|
Amazon EMR is a cluster platform that streamlines executing big data frameworks like Apache Hadoop, Apache Spark on the AWS for processing and analyzing vast amounts of data. Through these frameworks and associate freeware projects like Apache Pig and Apache Hive, we can process the data for the analytics intents and the business intelligence workloads. Following are the advantages of AWS Elastic MapReduce:
Following are the uses of AWS EMR:
Amazon provides various tools and services under AWS Machine Learning. These solutions allow organizations and developers to deploy ML systems more rapidly compared to a code-based approach.
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AWS is a famous cloud service provider, and it offers several cloud services. More than 90% of the companies are likely to deploy their products and services into the cloud platform by 2024. AWS is a well-known cloud computing platform, and it provides approximately 100 cloud services. This AWS tutorial gives you a brief understanding of every AWS service.
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