Pavithran
The majority of modern web applications are cloud-based. Amazon Web Services is the most popular cloud platform, providing scalable, dependable, user-friendly, and secure platform as a service (PaaS) and infrastructure as a service (IaaS) solution.
Because of the significant benefits they provide, the term has migrated to cloud computing platforms: Pay only for what you use, with no up-front fees or long-term contracts. Scale or downscale resources such as compute power and capacity quickly. Deploy apps in different parts of the world. By eliminating the need to maintain data centres, you can lower your total cost of ownership.
At first glance, AWS has so many services that it's easy to get lost in the AWS console. Some of the services are tailored to specific use cases, such as augmented reality and virtual reality, IoT, machine learning, and blockchain. We'll concentrate on the ones that are frequently used in web applications.
Computation Services Amazon Elastic Compute Cloud (Elastic Compute Cloud) This service allows you to rent cloud-based virtual servers. The majority of them are virtual machines, with capacities ranging from two vCPUs and 0.5GB of RAM to 96-core machines with 384GB of RAM. With EC2, you can also rent physical dedicated servers. The service is designed to handle any workload, but you must still select the best instances for your specific tasks. Aside from generic instances, EC2 also provides cost-effective ARM instances and bare metal Mac minis.
ECR from Amazon (Elastic Container Registry) ECR is a highly available and high-performance container registry that allows you to easily store, manage, and deploy your container images. Images can be kept private within your organisation or shared with the rest of the world. It integrates well with Amazon ECS, AWS Lambda, and AWS Fargate, allowing for quick single-click deployments. It's a fully managed service, and you only pay for the amount of data you store and transfer over the internet.
ECS from Amazon (EC2 Container Service) ECS is a fully managed container orchestration service for running, scaling, and securing Docker applications on Amazon EC2 and AWS Fargate. Multiple related containers can be defined in task definitions, and their various deployment parameters can be configured. It can natively integrate with Route 53, Secrets Manager, IAM, CloudWatch, and other services because it is a foundational pillar for critical Amazon services.
Fargate on AWS Fargate eliminates the need for manual server provisioning and management, freeing up time to focus on developing your application. It's a container serverless compute engine that works with both ECS and EKS (Amazon Elastic Kubernetes Service). It automatically allocates the appropriate amount of isolated compute resources to each container, so there is no extra cost for over-provisioning to handle more load. Running each application in isolation improves security by design.
Lambda on AWS Lambda is a serverless compute service that allows you to run code on the AWS platform without having to worry about server provisioning, maintenance, or scaling. At any scale, your code is executed automatically in response to incoming events or HTTP requests. Most popular programming languages, including Javascript, C#, Java, Go, and Python, are supported, and deployment is simple.
Elastic Beanstack on AWS This simple service handles web application deployment automatically. It handles provisioning, load balancing, auto-scaling, and app health monitoring while maintaining complete control over the underlying resources. Elastic Beanstack is the simplest and quickest way to deploy your application to AWS, and it does not necessitate extensive knowledge of the platform and its services.
ElastiCache from Amazon This service provides fully managed Redis and Memcached in-memory data stores with high throughput and low latency for your cloud applications. The primary goal of ElastiCache is to improve web application performance by caching mission-critical data on top of slower databases. It can also be used for session storage, real-time analytics, and other purposes.
Aurora is a high-performance distributed relational database that is MySQL and PostgreSQL compatible. It is much faster than MySQL and PostgreSQL out of the box and provides the same level of security, availability, and reliability as traditional commercial databases. It also offers replication across three Availability Zones, point-in-time recovery, and continuous backup to Amazon S3.
RDS (Amazon Real-Time Delivery) (Relational Database Service) This cloud-based service manages relational databases. It handles hardware provisioning, database configuration, patching, and backups. Amazon Aurora, PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, and MariaDB are among the database engines supported by Amazon RDS.
Analytics Kinesis on Amazon Kinesis allows you to analyse real-time data streams at any scale with low latency. It enables applications to collect, buffer, and process streaming data as it arrives and respond to it instantly, rather than having to wait hours for data to be collected before processing can begin.
Redshift by Amazon Redshift is a low-cost way to create a data warehouse and run standard SQL queries against it. These results can be further analysed in various business intelligence tools to gain new insights from the underlying data.
Athena from Amazon Athena is a serverless solution that uses standard SQL to analyse large datasets in Amazon S3. It's quick and simple to use, and it doesn't necessitate complex ETL processes to prepare your data for analysis. When running each query, you only pay for the amount of data scanned.
AWS Adhesive Data integration is made much easier with serverless AWS Glue. It assists in the discovery and extraction of data from multiple sources, as well as the preparation and organisation of this data into databases, data warehouses, and data lakes for further analysis by specialised tools and custom applications.
Integration Services Amazon MQ Amazon MQ is a managed message broker service that allows ActiveMQ and RabbitMQ to be run on AWS infrastructure. It handles high availability provisioning, setup, software and security updates, and other maintenance tasks automatically.
SQS (Amazon Quick Service) (Simple Queue Service) Messages between microservices and serverless applications can be sent, stored, and received using SQS. It is a fully managed service with two different types of message queues. Standard queues are best for maximum throughput and at-least-once delivery, whereas FIFO ensures that messages are processed exactly once in the order in which they were sent.
Amazon Social Network (Simple Notification Service) The Simple Notification Service delivers high-throughput pub/sub fanout messaging to a large number of subscribers, including Amazon SQS, AWS Lambda functions, HTTPS endpoints, and Amazon Kinesis Data Firehose. It can also send messages to users via email, push notifications on mobile devices, and SMS. Because it is a fully managed service, you only pay for what you use.
SES from Amazon (Simple Email Service) Amazon Simple Email Service is a versatile email service that scales mass email communication, marketing, and transactional emails. It provides analytics and computes open and click-through rates to assess audience engagement in your email messages.
Storage of Data S3 (Amazon S3) (Simple Storage Service) Amazon S3 is a generic object storage service that is built for extreme durability, scalability, availability, security, and performance. It has a variety of storage classes for various use cases. S3 stores copies of objects across multiple systems automatically. It provides a fine-grained access control system as well as compliance auditing capabilities. With Amazon Athena, you can use simple SQL queries to analyse data in S3 at any scale.
Glacier on Amazon S3 Amazon S3 Glacier with extreme durability is ideal for data archiving and long-term backups at a low cost. There are three ways to gain access to archives. Expedited retrievals typically return data in 1-5 minutes, standard retrievals in 3-5 hours, and the cheapest bulk retrievals take 5-12 hours to complete.
EBS from Amazon (Elastic Block Storage) EBS is a generic long-term high-performance block storage solution for Amazon EC2 instances. It is intended for both high-throughput and transactional workloads, and it can scale to petabytes of data. You can select from a variety of storage types with varying throughput and latency to meet your needs. The EBS replicates volumes within the Availability Zone, and you can backup your volumes to S3 using EBS Snapshots.
Amazon Simple Storage Service (Elastic File System) Amazon Elastic File System is a scalable elastic NFS that is fully managed. It automatically expands and contracts, eliminating the need to provision and manage capacity manually. EFS is intended to provide massively parallel shared access to thousands of EC2 instances while maintaining consistent latency and aggregate throughput.
Conclusion Amazon Web Services (AWS) provides over 175 cloud services to meet any need. We've only scratched the surface of this massive iceberg. Aside from general-purpose services, it offers a plethora of more specialised services in machine learning, IoT, media, and other areas. Amazon Braket even lets you try out quantum computing!
With cloud computing services such as AWS, you can focus on developing your applications rather than managing and scaling your servers. With most services, you only pay for what you use. The majority of them are fully managed, lowering the total cost of ownership significantly by eliminating the need for dedicated personnel to manage them. It is much easier to make your application highly available, reliable, and fault-tolerant while still delivering excellent performance.
Leave a comment: