6 Amazing Key Features of AWS Cloud Computing

AWS cloud computing features help when you need to scale fast. Scaling a business within minutes means adding resources to your infrastructure and setting up a team to maintain it. All this needs a huge amount of capital. However, that money can go to waste after a project fails or after peak hours. For this reason, a cloud environment is the best way to handle such workloads.

Cloud computing lets you hand your computing, network, and data headaches to the cloud provider. You can then focus on your business instead of maintaining infrastructure. In this article, we cover the key AWS cloud computing features.

Key AWS Cloud Computing Features

Low Cost in AWS Cloud Computing

The most crucial factor in any solution is to make it cost-effective. To own an infrastructure for growing needs or for daily development and deployment, you need an expert team to run it. Other costs include power supply, cooling machines, and a geographic location for all the infrastructure.

The cloud counters all these factors, because it provides the infrastructure you need to meet your organization’s demand. You have no limits to your infrastructure when using AWS. In contrast, an on-premises architecture has a specific limit and cannot go beyond it.

AWS offers many plans. For example, you can start an AWS account with no upfront investment or with a minimum fee. You do not need to worry about the growing needs of the business or the quiet hours. AWS is flexible enough to scale resources up or down as you need.

AWS is broad and can handle huge loads, so it reflects changes within seconds. In addition, it responds quickly to any change, big or small. You only need to define the correct requirements, and AWS handles the ups and downs.

Flexibility in AWS

Traditional models deliver IT solutions that need investment in a new architecture and new operating systems. To maintain the whole new infrastructure, you need time to adapt the old architecture to new technologies. As a result, your business can slow down.

AWS gives you many choices of programming models, languages, and operating systems. You can pick the one that fits your application best. Also, you do not need to move your team to new technologies to upgrade your architecture.

After you adopt the AWS cloud, you still feel like you work on pre-existing IT resources. Moreover, AWS provides a hybrid option. It supports organizations whose application data lives in two places. Some of it stays in their data center, and the rest is in the cloud.

Your application stays productive even after you upgrade technologies or update the software. However, you should plan properly with AWS partners to adopt the right solution for your business.

Security Among the AWS Cloud Computing Features

AWS offers a wide range of security services. They safeguard your data from everyone except the people you allow to access it.

AWS also keeps your data confidential, because AWS employees cannot decrypt your data while they manage it and keep it available.

AWS has more experience than any other cloud provider in the physical security of data centers. For years, AWS has built regions worldwide. Also, it runs large-scale data centers with highly professional staff and prevents unauthorized access. Every AWS service is highly secure and free of loopholes. Finally, the maintenance team works continuously to keep services available.

Serverless

When you have no clear idea of client requirements, scaling up and down all the time costs an irregular amount. As a result, it can harm business benefits.

In short, serverless means running a service without worrying about its computation power. Any application can freely use the computing power of the serverless options that AWS offers. The development team need not worry about the infrastructure. They can focus purely on improving the application.

Applications can deliver the best experience to their users. Moreover, you do not need to provision and un-provision servers by hand. AWS handles server management for you, such as scaling, patching, and administration of the infrastructure.

First, the user uploads the code. Then a serverless cloud function such as Amazon API and Amazon Gateway runs the code and scales it to the application’s needs.

Databases

AWS offers a wide range of databases for multi-purpose applications. For example, they suit applications that need a real-time caching database store and high scalability. These databases fall into the categories below.

1. Relational Database

A relational database is a collection of data items with pre-established relations between them. Specifically, the data items are stored in rows and columns, which together are known as tables. The rows of a table represent the corresponding values of one object or entity in a collection. Each row in a table has a unique key known as the primary key. You can retrieve data in many ways without modifying the database tables.

Critical points in Relational Databases:

• SQL
• Data Integrity
• Transactions
• ACID

2. Non-relational databases

This type of database does not follow the relational database model. Instead, it uses various data models such as key value, document, and graph. These databases are purpose-built for specific data models and have schemas for building modern applications. Therefore, they offer ease of development and performance in scaling.

These databases are optimized for applications that need high performance, such as large data volume and low latency. They are the best fit for many modern applications such as web, mobile, and gaming. Those applications need scalability and flexibility to give end users an excellent experience.

Features:

• Flexibility

• Scalability

• High performance

• Functionality

3. Data Warehouse

A data warehouse is a specially designed database for data analytics. In practice, it reads large amounts of data to recognize the relationships between the data and extract information from it.

It can also act as a master repository of information that you analyze to make more informed decisions. Data flows into the warehouse from transactional systems, relational databases, and many other sources. A data warehouse can contain multiple databases. Within each database, the data is organized into tables and columns.

• Decision making
• Data consistency and accuracy
• Separation of analytics from transactional databases

Benefits of Databases

1. In-memory Data Store

In-memory databases mainly rely on memory for data storage. They are designed to cut the time needed to access data. However, in-memory databases risk losing data on a process or server failure. They can persist data on disk by storing each operation or by taking snapshots. In-memory databases include:

Amazon ElastiCache for Redis

It is a fast, in-memory caching service with microsecond latency to power real-time applications. You can use an in-memory non-relational database for caching or in cases that do not need high data durability. The Redis cluster configuration supports up to 15 shards. It enables workloads up to 6.1TB of in-memory capacity in a single cluster. You can add or remove shards as you need, and you can scale your Redis cluster.

Amazon Memory DB for Redis

It is a Redis-compatible, durable in-memory service with ultra-fast performance. It lets customers build an application quickly with the Redis data structures, APIs, and commands. Memory DB gives you microsecond read and single-digit millisecond write latency and high throughput. It also stores your data across multiple AZs to enable failover, database recovery, or node restarting.

Amazon ElastiCache for Memcached

It is an in-memory key-value store service that you can use as a data store or a cache. It is a fully managed, scalable, and secure ElastiCache for frequently accessed data that must be in memory. Its performance and ease of use make it the best choice for web applications, gaming, and e-commerce platforms.

2. Graph Database

These databases store and navigate relationships. They store data entities and edges to hold relationships between entities. There is no limit to the number and kind of relationships a node can have. You can traverse a graph in the graph database along specific edge types or across the entire graph. Ex. Amazon Neptune

Conclusion

AWS cloud computing is one of the most popular offerings, with more than 200+ services and growing. It has greatly changed how people deploy applications, with a move to serverless and many add-on services that keep availability high almost every time. AWS has been the top service provider in the Gartner list for 11 straight years, with low pricing models serving applications worldwide.

The services AWS provides work on a pay-as-you-go model. Because of this, AWS holds a whopping 33% market share and leads from the front. It focuses on high availability, with a total of 30 geographical regions to date and many more upcoming. In all, AWS has given developers a platform to explore and innovate without worrying about infrastructure needs. Visit the AWS website or read more on our blog.