Introduction to AWS Architecture
AWS Architecture is comprised of infrastructure as service components and other managed services such as RDS or relational database services. The major component of AWS architecture is the elastic compute instances, popularly known as EC2 instances, which are the virtual machines that can be created and used for several business cases. These instances are configurable and can be managed dynamically for on-demand scalability through the elastic load balancing feature. In addition, there are storage components such as S3 buckets and Elastic block stores, or EBS is associated with the EC2 Instances. AWS Architecture provisions certain network and security features such as IAM roles and policies are part of its architectural framework. AWS architecture is evolving with enhanced features and services, making AWS the leading cloud service provider to the industries.
Understanding the AWS Architecture
This is the basic structure of the Amazon Elastic Compute Cloud architecture. As per requirement, virtual machines of different configurations could be used with the help of the EC2 instance. Pricing options, individual server mapping could be done using it.
To improve the efficiency of the server and the application, over the web servers, the software or the hardware load is shared using a technique known as Load Balancing. In traditional web application architectures, the common network appliance which is used is the Hardware load balancer. The AWS architecture provides the Elastic Load Balancing service, where across multiple available sources, the traffic is distributed to the EC2 instances. Also, from the load-balancing rotation, the Amazon EC2 hosts are dynamically added or removed. Therefore, the load balancing capacity could be dynamically grown and shrink by the Elastic Load Balancing. The traffic demands would be adjusted henceforth, and the sticky sessions would address the advanced routing needs.
AWS Service Delivery
To deliver content to the websites, the Amazon CloudFront is used. The edge locations’ static, dynamic, and streaming content is contained by the Amazon CloudFront using a global network. The nearest edge location automatically receives the user end’s content which improves the performance. Like Amazon S3 and the EC2 instance, it is also optimized to work with AWS. In a similar manner, the original files are stored, and any-non AWS origin server works fine with it. No monthly commitments or contracts are there in Amazon Web Services. Based on the service delivery, only a handful amount is paid for the content.
To improve performance, the traffic is spread across the web servers with the help of the Elastic Load Balancer. Over multiple available zones, the traffic is distributed to the AWS EC2 instances. From the load-balancing rotation, the Amazon EC2 hosts are dynamically added or removed. Thus, the load-balancing capacity could be dynamically grown and shrink by the Elastic Load Balancing as per the traffic conditions.
Like the inbound network firewall, Amazon’s Elastic Compute Cloud provides a feature called security groups. Those protocols, ports, which are allowed to reach the instances need to be specified. The appropriate traffic is routed to each instance by one or more security groups assigned to each EC2 instance. The access to the EC2 instances is limited by the specific subnets used to configure the security groups.
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In the cloud, the memory cache is managed by the Amazon Elastic Cache. As a result, the cache reduces the load on the services. In addition, the frequently used information is cached, which helps to improve the database performance and scalability.
Similar to MYSQL, Oracle, and so on, similar access is provided by the Amazon Relational Database Service, which uses the same tools, applications, etc. The database software is automatically patched, and as per the user’s instructions, backups are managed. The point-in-time recovery is also supported by it. The payment is done only for the available resources.
The data is stored within resources by the Amazon S3 as objects called buckets. Within the bucket, as per the requirement, any number of objects could be stored. To access the data as block storage, the Amazon EBS could be used. Beyond the running instances of life, persistence is required. To increase performance, up to one terabyte of the Amazon EBS volumes could be maximized.
The web applications could be dynamically scaled by the Amazon Web Services to handle the change in traffic, unlike the traditional hosting model. Ahead of the projected traffic, to provision hosts, the traffic forecasting models are used in a traditional hosting model. According to the set of triggers, the Amazon Web Services instances could be provisioned for scaling the fleet out. The capacity group of servers could be created by Amazon AutoScaling, which on-demand could grow or shrink.
Advantages of AWS Architecture
AWS Architecture is crucial for any organization as it eliminates the burden of setting up the infrastructure to build an application. Some of its advantages are –
- The management, maintenance, and investment overhead are minimized.
- The resources are globally available and are reliable as well.
- Productivity could be increased by using the right tools.
- The cloud security standards of the modern-day ensure security.
- Scalability is improved as well.
Conclusion
AWS Architecture needs to be learned by everyone starting from a web developer to a Data Scientist. Its plethora of resources makes life easier for any developer or analyst as it touches every aspect of technology. Gradually new resources and offerings are added as well to the AWS.
Knowledge of AWS would definitely give someone a push in their career and keep them relevant in the job market for years to come, along with a high salary range.
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