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Are you a non-programmer? Worrying about codes and programs? I think you are at the right place to learn one of the non-programming platforms that are AWS technology. AWS is also known as Amazon web service and is a platform where programs can be executed without the need for any codes. In this article, we will be explaining the important features, different tools, environment setups, and AWS services. This tutorial may help a few of you to begin your career as an AWS developer and also for the experienced ones. Let’s start learning this one of the fantastic tutorials:
AWS stands for Amazon web service; this also acts as a platform which uses different distributed IT infrastructure to offer different IT demands. The AWS services were first developed by Amazon Software Company, and this platform provides services like infrastructure as a service (IaaS), platform as a service (PaaS), and Software as a service (SaaS). This AWS platform is also known for its cloud computing service and with the help of this technology, many organizations take overall benefits of reliable IT infrastructure. AWS also supports many programming languages such as NodeJS, Python, Java, C#, R, and Go. This platform is also a compute service that helps the programmer to run their code without any provisioning or managing software servers.
Now it’s time to know the history of AWS:
In this section you will be learning the history of AWS and its features:
1. 2003: In the year 2003, two engineers namely Chris Pinkham and Benjamin Black designed a paper (You can call it Blueprint) which explained how this Amazon’s own internal computing infrastructure looks like. First they decided to sell it as a service and then prepared a business case design on it. They decided to prepare six-page documentation and decided to proceed with this final documentation.
2. 2004: In 2004, Amazon Company developed a first service level platform known as SQS stands for “Simple queue service”. The development team launched this service in South Africa (Cape Town).
3. 2006: In the year 2006, AWS (Amazon web service) was officially launched as a service platform.
4. 2007: In the year 2007, more than 180,000 developers had signed up for the AWS platform.
5. 2010: In 2010, Amazon. Com retail web services were first moved to the AWS. For example, Amazon.com is now running on AWS.
6. 2011: in this year, AWS suffered from severe problems like the volume of EBS (Elastic block store) was stuck, some important parts were unable to read and write requests. Sometimes it took two days to solve the problem.
7. 2012: In 2012, AWS hosted the first customer event known as the $6 billion per annum. Revenue reaches more than 90% every year.
11. 2016: By 2016, AWS revenue doubled and reached more than $13 billion USD/annum.
12. 2017: In 2017, AWS service reinvent the release host for artificial intelligence services and AWS revenue doubled to more than $27 billion USD/Annum.
13. 2018: in 2018, AWS supports a machine learning specialty certs. This time AWS focused on artificial intelligence automation and machine learning.
The following AWS architecture explains the work nature and feature of the platform:
The above architecture considered as a basic structure of AWS EC2. EC2 is called an Elastic compute cloud which will allow the clients to configure their project and method as per the requirements. There are several options available in AWS such as pricing options, configuration server, and individual server mapping, etc. S3 is also present in the AWS architecture (S3 means simple storage services). With the help of this S3, users can retrieve the data or store the data through various data types using application programming interface calls. There will be no computing element services available for the AWS services.
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The following are the important components of AWS architecture:
The load balancing is one of the components in the AWS architecture that helps to enhance the various applications and the server’s efficiency. According to the AWS diagrammatic representation, this hardware load balancer is mostly used as the common network appliance and supports many to perform skills in the traditional web applications.
This elastic load balancer component easily shrinks and increases the overall capacity of load balancing by tuning traffic demands and supports sticky sessions to have advanced routing services.
This AWS component most widely used for content delivery and offers effective website delivery. The web content in the Amazon cloud front can also be available in different forms such as static, dynamic, and streaming content. This amazon cloud front content makes use of global location as well.
The elastic load balancer is mainly used to deliver the traffic to the web-based services and also helps to improve the performance in a large manner. The elastic load balance increases the growth in a dynamic way and sometimes the capacity can be shrunk based on certain traffic conditions.
This security management offers many security features known as security groups. The security management system also works as the inbound network firewall and consists of ports, protocols, and source IP addresses. With the help of the IP address, the security groups limit the access to EC2 instances effectively.
Amazon Elastic Cache is known for its efficiency, where the memory cache can be managed with the cloud. This elastic cache plays a vital role in terms of memory management and also helps to reduce the service load. The elastic cache component also enhances the performance and scalability of the tier of the database system.
This Amazon relational database service system helps to manage and deliver the same access of data which is similar to My SQL, or Microsoft SQL. The application queries and tools will be more useful in the Amazon relational database system.
The following are the important features of AWS:
This is one of the crucial features of AWS when compares to other cloud technologies. Before traditional IT models used to deliver any IT infrastructure solution, that require massive investment in many areas such as architecture building, installing programming language software, and operating system. When it comes to investment, they are valuable, time requirements, and adopting new technologies. These requirements slow down business operations.
The flexibility of AWS service allows user to choose the type of programming models, software programming languages, and operating systems which are well suited for the projects. So there is no need to learn new technologies. Building an application in AWS is like building any application using existing hardware resources.
Cost is one of the most important factors that need to be considered in delivering IT solutions. The cloud service provides on-demand IT infrastructure that can be of costs, power rate, real estate billing, and staff. So we can say that the cloud offers flexibility by maintaining the right balance of resources. AWS offers no upfront investment, minimum spend, and long-term commitment. So that users can scale down or scale up the resources increases or decreases respectively.
In traditional infrastructure development, scalability and elasticity were calculated with business investment and infrastructure during the time of cloud development. This type of scalability supports savings and improves the return on investment. Scalability in AWS has the ability to scale the computing infrastructure resources and elasticity in AWS is defined during the time of incoming application across multiple targets such as Amazon EC2, containers, IP addresses, and lambda functions.
AWS offers a scalable cloud-computing system this helps customers with effective end-to-end security and also end-to-end privacy. AWS incorporates the overall security into its services, and documents used to describe how to make use of security features. AWS services maintain confidentiality, data integration, and availability of resources. In AWS, you can see one type of security that is Physical security, physical security means securing the data centers to prevent any type of unauthorized data access.
The AWS cloud provides a high level of scalability, security, privacy, and reliability. Usually, AWS has built an infrastructure based on lessons learned from over twenty years of experience to manage the multi-billion dollar amazon.com business. Amazon helps customers by increasing their infrastructure capabilities.
There are lots of advantages of using AWS service; I would like to mention a few of them:
1. The AWS service gives a world-class performance at an hourly rate and 90% of the time traditional hardware is not used by bigger companies.
2. During the peak hours, there is a chance that hardware may not be sufficient in providing competent services. Hence most of the big organizations had shifted to AWS cloud.
3. Companies need not take over the maintenance and the cost involved with it. No matter how much demand there is, AWS can scale to that level.
4. AWS is also helpful for big data analytics. In AWS code deployment can be achieved continuously as DevOps processes are expertly supported and you can pay for using services as the user consumes.
5. In AWS there is a free tier account available, user can also open an account and start taking advantage of services available for 750 free hours.
AWS Lambda is one of the software service platforms, which offers serverless computing that performs computing without the use of any server code. Any codes which are using in programs can be executed on the base of AWS events. There are lots of AWS services available such as adding/removing files in AWS S3 buckets, helps to update the Amazon dynamo DB tables, and also access HTTP requests from the Amazon API gateway, etc. AWS Lambda supports many programming languages such as NodeJS, Python, Java, C#, R, and Go. AWS Lambda is a compute service s that lets the programmer run their code without any provisioning or managing software servers. AWS lambda always executes the codes only when needed and scales automatically, from a few server requests per day to hundreds/ thousands per second. User needs to pay only for compute time that you consume and important thing is that no charge when the programming codes are not running. To work with AWS lambda, the user needs to push their codes in AWS lambda services. This service can take care of tasks, resources like infrastructures, operating systems, maintenance of the server, code monitoring, logs, and security.
AWS lambda architecture explains the nature of a serverless platform. Let’s discuss the architecture in brief:
AWS lambda architecture is designed on the basis of big data implementation. Now let’s learn the different layers of AWS lambda architecture,This layer is a gold standard, which consists of sources of data, and every bit of information. Batch layer appended with new incoming data. This batch layer depends on high-quality services, which are capable of processing a large amount of data and also helps to maintain the system serverless platforms. The batch layer also helps to run predefined queries and also performs many mathematical operations such as aggregations, computations, and derived metrics.
This serving layer is one of the complex layers of the AWS Lambda platform. The serving layers are cleverly indexed and offer low latency querying against other layers. The serving layer provides the ability to query the data in speed and this is considered to be the hardest bit to achieve in AWS lambda architecture.
In this layer, where the tiny snapshots of data will be stored and the speed layer supports the processing and analysis of real-time data stream. This layer helps users to get the implementation details, and also process the derived data sets.
In brief, the batch layer maintains a historical store of derived data sets; the serving layer provides key-value access to derived metrics and always keeps data ready for analysis, machine learning, and visualizations. Finally, the speed layer allows the user to perform everything that the previous layers do, and the user can also preview the implemented data sets.
As I said earlier, AWS is a cloud product that is available globally. Global infrastructure is a region where the AWS cloud is based. This infrastructure consists of high-level services.
Below are the important components used in global infrastructure:
1. Availability zones
2. Region
3. Edge locations
4. Regional edge caches
An availability zone is a kind of facility that can be available somewhere in a country or in the city. In this facility zone, there is a large number of components such as multiple servers, switches, firewalls, and load balancing. These things interact with the cloud site platforms inside the data centers. An availability zone can consist of several data centers, if they close together, they will form one availability zone.
A region is a geographical area; each infrastructure region consists of 2 availability zones. And a region is a collection of data centers that are isolated from another availability zone and connected through the link.
An edge location is an endpoint for the AWS service product and mainly used for caching content. An edge location mainly consists of the cloud front, and Amazon’s content delivery network (CDN). Each location in the global infrastructure is more than a region. Currently, you will get more than 150 edge locations. In AWS edge location is just a region, but a small location. This type of Edge location is mainly used for caching the data contents.
In November 2016, Amazon web service announced a new type of edge location that is known as a regional edge cache. This regional edge cache lies between cloud Front origin servers and the edge locations. In this regional edge location, data is removed from the cache, where the data is retained at the regional edge caches.
Before you get into learning how to work with AWS, we are going to explain how to set up the AWS environment. First, you need to log in with the Amazon console software application. This Amazon console supports two data integrated environments such as Visual Studio and Eclipse.
Let’s learn the setup step by step:
Steps involved are;
User can create their login details in AWS console login as a free member using Amazon free tier options. The following steps explain how to create login details using the AWS console.
Step1: First visit the website link https://aws.amazon.com/free/ in order to create your account. Fill all the mandatory fields in the form displayed and click the create account button and continue.
Step2: Enter your payment details and the next step is the mobile verification.
Step3: Once your number is verified an account activation link will be mailed to your email id.
Step4: Now click the mail link and enter the correct account name or email id and the password, login details to the AWS service software as shown below,
The AWS account name will be displayed at the right corner as shown in the above figure. Now you can start using the AWS services. The languages it will be supporting are NodeJS, Python, Java, C++, and C#.
S3 stands for simple storage service and this is the first-ever service produced by Amazon web service. S3 file is considered to be the safest place to store the data files. S3 is object-based storage; here you can store the images, pdf files, and Word files, etc. The S3 file storage value can range from 0 bytes to 5Terra byte. Usually, files are stored in Bucket. A bucket is like a folder that is used to store the files. S3 is a universal namespace that contains a DNS address, unique bucket name, and unique DNS address.
If you want to create the bucket, you have to use the following bucket:
https://s3-eu-west-1.amazonaws.com/acloudguru
Where s3-eu-west-1 is the region name and acloudguru is the bucket name.
1. This simple storage service allows unlimited storage of objects or files containing 1 byte to 5 gigabytes each.
2. Objects consists of storing the raw object data and metadata.
3. Objects are stored and retrieved using a developer – assigned key.
4. Data are kept secured from unauthorized access through an authentication mechanism.
5. Objects can be made available to the public by the HTTP or BitTorrent protocol.
The below diagram explains the major advantages of Amazon S3:
In S3 firstly we are able to create a bucket and provide a name to the bucket. Buckets are nothing but containers in a Simple storage service that helps to store the data. The bucket must hold a unique name to create a unique DNS address.
The bucket can be used to store an unlimited amount of data. So that you can upload the files (Here you can upload an infinite amount of files) into an Amazon S3 bucket. Each object can be stored and retrieved with the help of a unique developer assigned-key.
With help of Amazon S3, user can also download your own data from an Amazon bucket and also give permission to others while downloading the same data. Here you can download any amount of data at any time.
You can also get permission (grant or deny access permission) to any users who want to upload or download the data from the Amazon S3 bucket. The authentication mechanism keeps the data that is secured from unauthorized access.
S3 is used with standard interfaces like REST and SOAP. These interfaces are designed in such a way that they can work with development tool kits.
Amazon S3 offers better security features which are used to protect unauthorized users from accessing the data
In this AWS (Amazon web service) tutorial, you will be able to learn the definitions, advantages, architecture, environmental setup, storage services, and creation of your own Amazon web service. Aws is one of the Amazon cloud service products and offers the distributed IT infrastructure to work with different IT resources. This provides the service like Infrastructure as a service (IaaS), Platform as a service (PaaS), and Software as a service (SaaS). This is one of the popular AWS products and allows different organizations to take utmost advantage of reliable IT infrastructure. I hope this article may help a few of you to learn and become a master in this Amazing service tool.
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