8 Excellent Amazon Web Services (AWS) You Should Consider to Use in Your Next Web Application Project

The world of digitalization has grown to such an extent that people are now looking for better ways to grow in the market. Talking about the business, well they need everything in just one package. By this, it means to cut short in the flexibility, capital expense, productivity, and better hardware with a strong security system. There are different cloud service platforms that you can come across in the market but Amazon web services (AWS) for the developers is the trending one.

Since the industry is adopting the most popular cloud service for streamlining the business but still not sure how well they can avail the advantage, this cloud service is the best option to choose.

Why Amazon Web Services (AWS)?

Being a first-time user, you of course would wonder what makes such service popular, well then it is the person, flexibility, reasonable price to name some that have already made it for this service to be on the top. With such service, your site would be able to perform better, faster, and that too with new features at great pricing over other choices. You don’t just save money but also get better performance than you expect which eventually turns out to be an achievement for you.

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1. Amazon EC2

Amazon Elastic Compute Cloud (Amazon EC2) is one of the web services that offer better security and in the sizable manner of computing the capacity in the cloud. This has been designed for making web-scale cloud computing much easy for developers.

This is a simple web service that has got an interface that can help you get an even configure the capacity with less friction. It gives you complete control of the computing resource. Known to be the broadest computer platform, you can choose the storage, operating system, and processer with purchase model on your own.

What do you get?

• SLA commitment of 99.99% availability.
• Reliable, scalable, infrastructure.
• Increase or decrease capacity within minutes.
• Choice of Intel and Arm-based processors.

2. Amazon S3

Amazon Simple Storage Service which is popularly referred to as Amazon S3 is one of the web services that offers object service with better availability of the data, industry-leading scalability, security, and better performance. This means it is possible for the customers of industries and all sizes to use it while storing and protecting any kind of data which they have got different case uses such as website, data lakes, backup, mobile application, and enterprise applications.

With this service, you also get a feature of easy management which can help you organize the data while configuring the access control that is finely tuned for meeting your requirement associated with the organization, business, and even compliance.

What do you get?

• Industry-leading performance.
• Scalability.
• Availability.
• Durability.
• Meet fluctuating demands.

3. Amazon DynamoDB

Amazon DynamoDB is a flexible and fast option irrespective of the scale. You can consider it to be a key-value database that helps in delivering the single digital millisecond performance at any scale. It has also been managed completely with the multi-active, multi-region, and even durable database. You also get built-in security, backup, and restore solutions with -memory caching for internet-scale applications. It also helps in handling trillions of requests every day which can support the peaks of million requests every second.

There are so many businesses such as Airbnb, Lyft, and even Redfin and enterprises like Toyota and Capital one that is the fast-growing one for which this is used for better performance and scalability for supporting their mission-critical workloads.

What do you get?

• Consistent.
• Build applications with virtually unlimited storage.
• Replicate your data across multiple AWS Regions.
• Faster access with microsecond latency.
• Managed in-memory cache.

4. Amazon RDS

With Amazon Relational Database Service (Amazon RDS), you can do the operation, set it up finely, and even scale the relational database in the cloud. It also offers the most cost-efficient capacity that you can resize while you automate the tasks of administration that are time-consuming like database setup and hardware provisions and backups. It allows you to focus on the application so that you can focus on better performance with the compatibility that is needed.

All you need is few clicks to set up and then get scalability for your relational database in the cloud. You can find it on a different database such as optimized for better memory. You also get database engines to make choice set such as SQL Server, MariaDB, Amazon Aurora, PostgreSQL, and MySQL to name some. If you want to migrate the existing database then you can use the AWS Database Migration Service to Amazon RDS.

What do you get?

• Easy to administer.
• Command-Line Interface.
• Simple API calls to access the capabilities.
• No need for installing.

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5. AWS Lambda

AWS Lambda is a compute service that is serverless. This means you can run the code without requiring the server or maintain it. This way it is possible for creating the cluster scaling logic with workload aware solution. You can also maintain the integration of the event.

Thanks to Lambda, it is possible to run the code at the virtual platform with any of the applications even the backbend service can be better. To be precise it offers zero administration. All you must do is upload the code in form of a zip file and your Lambda server will automatically allocate the execution power while running the code using the incoming require no matter what scale of traffic is.

Numerous AWS Lambda use cases you can find where you can save the running cost of your application. It is even possible to set your code to trigger from 140 AWS services automatically. It is possible to even write the Lambda functions in the language that you like such as Node.js, Python, Go, Java.

What do you get?

• No servers to manage.
• Runs your code without infrastructure.
• Continuous scaling.
• Processes each trigger individually.

6. Amazon Lightsail

The best part of the Amazon Lightsail is the managed environment. It can configure automatically the networking while ensuring teg guesswork is out while the server is being launched. Besides, it runs on the network of AWS that you have the trust built on. You can even configure the network easily with much security. The security measures like firewall, IP address, DNS are already included.  The API is quite powerful. This means you can extend the application using the simple API and integrate the same with external applications.

What do you get?

• High availability storage.
• persistent SSD-based storage.
• handle your increased traffic.
• secure key management.

7. Amazon Virtual Private Cloud

Amazon Virtual Private Cloud (Amazon VPC) is one efficient service that allows you to launch the AWS resource in the virtual network that you define logically. With this, you get complete control of the virtual networking environment. This also includes the IP address range to choose from, subnets to be created, and route table configuration along with network getaways. It is possible to use IPv4 and IPv6 for the resources in the virtual private cloud which would make sure there are security and easy accessibility to the resource and application.

Since it is one of the foundational services, you can make it easy to customize the networking of the VPC configuration. You can also use different security layers that include the network access control lists and security grow-ups for controlling the access to Amazon EC2.

What do you get?

• Advanced security features.
• Inbound and outbound filtering.
• Out-of-band monitoring.
• Inline traffic inspection.
• Simple set-up and use.
• Create the subnets, route tables, and IP ranges.

As you create the common networking setup, you can find the right match for the needs. Eventually, you will come to Virtual Private Cloud to avail yourself of the advantage. Once you configure your network, it is then easy to validate it using Reachability Analyzer.

8. Amazon SageMaker

With Amazon SageMaker, developers and data scientists can conveniently make, train, build, and even deploy the machine of high-quality learning models that would bring together different capabilities set for the purpose-designed for machine learning. You can now pace up the innovation using the right tool at each step. This is often required for developing machine learning. This includes feature engineering, labeling, preparing data, auto-ML, statistical bias detection, tuning, training, monitoring and even maintaining the workflows.

This is mostly in demand since you can boost productivity with this option. It is of its kind and a completely integrated solution that is solely designed for ML which can bring everything that you need for ML under a single visual interface. With this integration ability, ML can build conveniently without spending your time to write custom integration code and thus reduce the price.

What do you get?

• Scalable Experimentation.
• Supports many popular frameworks for deep learning.
• A machine learning launcher with more than 150 popular open-source models.
• Build ML models with your own data.

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Final Words

Amazon Web Services (AWS) gives a better flexibility option. You would be able to select the database, programming language, OS, and even other services that can fit the best in a virtual environment. Make its best use for loading those applications and software on the cloud and see the results.

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