AWS Architecture Diagram Complete Guide

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Amazon Web Services (AWS), Amazon.com Inc (AMZNcloud)'s platform, has grown into a significant element of the e-commerce giant's commercial spectrum. AWS generated a remarkable $14.8 billion in net sales in the first quarter of 2021, contributing more than 13 percent of Amazon's overall net sales. Amazon Web Services has risen continuously in the 30 percent area over the last few quarters, putting it ahead of competitors such as Microsoft Azure.

So, what is AWS? You may ask. AWS is a widely used cloud platform that provides numerous on-demand activities such as computing power, database management systems, content distribution, and so on to help businesses develop and flourish.

Amazon Web Services has a customer base in over 190 nations, including 5000 schools and universities and 2000 government agencies. AWS services are used by many firms, including Adobe, ESPN, Netflix, Twitter, Facebook, and the BBC.

AWS Architecture Diagram cover

1. What is an AWS Architecture Diagram?

Amazon Web Services (AWS) is comprised of several cloud computing solutions and operations. Amazon's increasingly profitable sector offers hosting, space, connectivity, virtual computing, messaging, mobile programming, and cybersecurity. Amazon Web Services' major offerings include EC2, Amazon's virtual server service, Glacier, a minimal cloud storage provider, and S3, Amazon's storage network.

Amazon Web Services (AWS) has surpassed its opponents in terms of size and presence in the computing industry. According to one independent analysis, Amazon Web Services has 32.4 percent of the industry during the first quarter of 2021, with Azure at 20 percent and Google Cloud at 9 percent.

Amazon Web Services (AWS) servers are spread over 81 network segments. These served regions are segregated to allow customers to impose geographical boundaries on their operations (if desired), as well as to ensure security by varying the physical locations in which information is stored. Amazon Web Services operates in 245 nations and regions.

1.1 What is Amazon Web Services Used For

AWS enables enterprises of every size and sector to develop complex apps. Amazon Web Services applications span from hyper-scale web programs to big data analysis applications. Some of the common uses of AWS are:

Storage networks: Amazon's cloud computing is an extremely helpful solution for organizations that is also quite easy to use. AWS may be employed to store sensitive information. It provides a variety of storage options, letting organizations make their own judgments depending on their own requirements. It may be used for data categorization and storing, long-term archiving, high-performance reading and writing, and executing mission-critical business programs.

Aiding the enterprise IT: Occasionally, enterprise IT may advance at a decreasing rate. Server installation, time-consuming purchases, and other similar elements all add to an operation's inefficiency. AWS provides the best solution for these issues. AWS enables organizations to create, experiment, and conduct secondary functions in the cloud, enabling them to deploy programs much more quickly. Development speed is a key factor in gaining a competitive advantage. Because of AWS's versatility, it is possible to deploy more swiftly than ever.

Secondary applications: AWS delivers something that no other cloud provider can: it makes it easier to create and scale applications, particularly mobile apps, e-commerce apps, and SaaS apps. Amazon Servers were once utilized for application development and installation. Unfortunately, situations have changed dramatically over the years, as well as for the greater good. New apps are now created on server-less platforms - systems that can perform this function without the need for an os or other components. API-driven programming may now be utilized on Amazon Web Services to create exponentially scalable apps.

Alliance with big data: AWS offers configurable storage which can be utilized to conduct analytics at faster rates. Amazon Web Service's storage does not need much time or energy to analyze. The ideal combination for constructing cloud applications or storages. AWS and Big Data collaborate to offer the foundation and capacity needed to support high-end ai tools.

Gaming: Hosting gaming applications requires a significant amount of internet and computational resources. Amazon Web Services makes it easily accessible to the worldwide gaming networks to provide the greatest digital gaming environment imaginable to gamers all over the world.

1.2 What is an AWS Architecture Diagram?

The AWS architecture diagram is used to improve the services by utilizing strong drawing resources, a multitude of pre-designed Amazon indicators, and a variety of basic symbols that are utilized for the construction of Amazon Web services diagrams.

Amazon Web Service Architecture also ensures that exceptional solutions based on web advances, such as virtual server downloading and uploading, selection function, and data transmission service, are provided. Furthermore, AWS resources may be made available globally and can be used to implement solutions precisely where consumers demand them.

AWS architecture diagram: The Amazon Web Service architecture enables users to receive the finest possible service regarding web services innovations, such as introducing or deleting virtual servers, service choices, and so on. AWS applications and services are available all over the world 24 hours a day, and systems may be readily deployed to meet the needs of the customers.

2. AWS Vs Azure Vs GCP

2.1 What is Azure?

Azure is a cloud computing platform owned by Microsoft, and it may be used to develop, launch, and administer your applications. Scaling worldwide is possible thanks to the global Microsoft network of hosted cloud services. You may no longer need to purchase, maintain, and establish a local server if you use Microsoft's cloud services to organize your software in the cloud servers. However, Azure is far more than just a global cloud server. Azure also provides services including as Azure Kubernetes Services, Internet-Of-Things, AI, and Big Data. From computer technology to machine intelligence, Microsoft Azure has it all, and it is always accessible, no matter where you are.

2.2 The Differences between AWS and Azure

When talking about AWS Vs. Azure, the essential characteristics of Amazon Web Services and Azure are quite identical. They have all the components of an open cloud service infrastructure. Privacy, self-service, automatic scaling, rapid deployment, access monitoring, and accountability are among them. Let us talk in detail about some of the differences in their features.

Computing power: AWS uses EC2, or elastic cloud computing, which implies that the available resources may be reduced or increased as needed. Users may also create their personal VMs or Virtual Machines, select from pre-configured MIs or Machine Images, or edit MIs. Users may choose the performance, capacity, storage, number of VMs, and storage that best suits their needs. In Azure, however, the user selects VHD or Virtual Hard Disk to establish a VM. A third party, the customer, or Microsoft itself can pre-configure it. So, the essential point to remember here is that AWS EC2 may be adjusted to meet a wide range of alternatives and requirements, whereas Azure virtual servers work in tandem with other technologies to create cloud applications.
Pricing: Azure charges you per minute, but AWS charges you over an hourly rate. Azure's short-term membership options are more versatile, but they become more expensive as the technology grows. Both cloud titans offer a pay-as-you-go pricing model. It implies you can change or cancel your sales contract at any moment.
Database: Additional point of contrast between AWS and Azure is the accessibility of database in the cloud computing systems. All platforms feature robust database services that can accommodate both unorganized and organized data. Six well-known database systems are supported by Amazon Web Services. Amazon Aurora, MariaDB, Microsoft SQL, MySQL, PostgreSQL, and Oracle are among them. While Azure only supports Microsoft SQL.
Network: To construct an independent private network throughout the cloud, Amazon Web Services uses Virtual Private Cloud system, or VPC. API gateways enable inter-premises communication. Dynamic load balancing guarantees that networking runs smoothly. The customer can build subnetworks, route maps, unique IP addresses, and network ports within the VPC. In comparison, Azure employs a virtual system rather than a VPC. Users can utilize the VPN connection to establish route maps, isolated systems, subnetworks, private IP groups, and network portals. A VPN gateway handles cross-network communication, and a load aggregator and app router handle load management.
The database and storage: A further topic of comparison between Microsoft Azure and AWS is privacy protocol compatibility. Amazon Web Services has a long history of working with government entities, and its regulatory offerings include ITAR, DISA, HIPAA, CJIS and others. Microsoft, on the other hand, claims to have fifty; ITAR, DISA, FIPS, CIJS, and HIPAA-compliant products.

Azure	AWS
Azure utilizes VHD or Virtual Hard Disk.	AWS utilizes EC2
Azure pricing is charged per minute.	AWS pricing is ranged according to the minute.
Azure employs VPC.	AWS employs Virtual private web services.
Microsoft employs ITAR, DISA, FIPS, CIJS, and HIPAA-compliant products.	AWS employs ITAR, DISA, HIPAA, CJIS and others.

2.3 What is GCP?

Google provides cloud network services that are hosted on Google infrastructure. It enables people to connect via open or private internet connections. Users may operate a variety of applications for low cost, including computation, memory, machine analysis, big data, CDN, databases, IoT (Internet of Things), privacy, and apps. GCP enables software developers, engineers, and IT experts to use multiple Google platform applications more efficiently.

2.4 The Differences between AWS and GCP

As compared to the comparisons of AWS vs. Azure, when comparing GCP to AWS, there are quite a lot of differences. Although they have the same components in hand, now let us discuss the major differences between GCP Vs. AWS.

Pricing: AWS, even though their operations are not similar. Google Cloud and AWS are also engaged in a pricing war, with periodic price decreases and the introduction of additional services. A pricing analysis now may be obsolete tomorrow. However, Google Cloud takes pleasure in offering lower prices than its peers. For some computing services, the Google Cloud Platform Sustained Use and Sustained Use Savings schemes can provide considerable pricing savings over AWS. Undoubtedly, Google Cloud's Sustained Use Discount scheme outperforms AWS' On-Demand pricing.
Market share: According to Canalys data for Q2 2020, Amazon Web Services had profits of $10.8 billion as well as an IaaS market dominance of 31%, with Microsoft Azure in the second spot with an increased share of 20% and GCP in 3rd spot with a 6% sales volume. Amazon Web Services has a larger market proportion than its four main peers combined. Amazon Web Services' supremacy is unsurprising. AWS established its open cloud platform in 2006, giving them an advantage over Google and Microsoft. Google introduced the PaaS Google Application engine in 2008 but did not enter the IaaS industry until 2010.
Customer reach: Although Google Cloud System outperforms Amazon web services in terms of pricing and versatility, Amazon web services outperform Google Cloud Platform in regards to global reach, with much more data facilities across the globe. Google Cloud Platform included 24 countries, 73 regions, and over 100 ports of operation in 35 nations as of September 2020. Amazon Web Services is divided into 24 countries, 77 regions, two local provinces and has users in 245 nations and territories. Furthermore, Amazon web services is expanding its data center footprint more rapidly than Google.
Free available tiers: Both AWS and Google Cloud provide free packages to inspire enterprises to experiment with new products. AWS's open tier programs are divided into 30-day, 12-month, and always-free durations, according to usage constraints. Google Cloud, on the other hand, keeps things simple by giving always-free levels on 24 accessible storages and applications that are also subject to use restrictions. Although many of the products and usage restrictions are comparable between the two providers, Google Cloud additionally provides new clients with $300 in receivables to utilize on every product in its catalog. While $300 is not a significant sum for a major organization, given the respective benefits of the two Cloud Service Operators, the proposal does offer potential clients greater options in the services they explore.

GCP	AWS
In comparison, GCP is lesser priced than AWS.	When compared to GCP, AWS costs more.
GCP, however, stands at the third spot at 6% market share value.	AWS maintains a 31% lead in the market share value.
Google Cloud Platform included 24 countries, 73 regions, and over 100 ports of operation in 35 nations as of September 2020.	Amazon Web Services is divided into 24 countries, 77 regions, two local provinces and has users in 245 nations and territories.
Google Cloud, on the other hand, keeps things simple by giving always-free levels on 24 accessible storages and applications that are also subject to use restrictions.	AWS's open tier programs are divided into 30-day, 12-month, and always-free durations, according to usage constraints.

3. How to Draw an AWS Architecture Diagram in EdrawMax?

As you have noticed and realized by now, creating an AWS architecture diagram requires time and work. Nevertheless, if you develop it on paper or using tools that is too clunky or exorbitant, you would either abandon your AWS architectural plan or waste far too much money on your developer to create one for you. Rather than wasting your precious time draw AWS diagram, seek for an easy technique to construct an Amazon Web Services diagram. EdrawMax is well-suited to creating a garden layout. There are merely a few actions you need to accept to quickly build it. Now let us discuss some of the steps involved to draw AWS diagram.

Step1 Open EdrawMax and Login

The very first step that you need to follow is to install EdrawMax in your system. Go to EdrawMax Download and download the AWS diagram software depending upon your operating system. If you need remote collaboration with your office team, head to EdrawMax Online and log in using your registered email address.