AWS stands for Amazon Web Services. Tones of services are delivered by the aloft Amazon. Amazon provides a comprehensive, originating cloud computing platform.
The cloud services of all three are handed over in a mixture, i.e., infrastructure as a service (IaaS), software as a service(SaaS, and platform as a service(PaaS). The working mechanism of cloud services is a little bit subtle.
Just, in brief, these Cloud services are:
In this offering, the vendor facilitates his users to gain access to computing resources like servers, networking, and storage.
Here the cloud environment is provided to its users where they can do their daily job. Developing, managing, and delivering applications, along with the storage and rest of computing resources. One can make use of prebuilt tools in development.
Vendor’s cloud-based software access is provided to the users. No need to install applications on local machines, the applications stay on the cloud network which is easily accessible through the internet.
The Mind-Boggling Services of AWS
AWS was the pioneer to bring in the concept of a pay-as-you-go cloud computing model. To handle the online retail operations, Amazon.com built AWS launched in 2006. The pay-as-you-go cloud computing model scales to give its users with throughput, computing, and storage.
The AWS-certified cloud practitioner course will excel you in outputting the whole bundle. The professional does not mess up, unlike amateurs on the machines. The optimized and graceful use of AWS is best known to the certified. He equips and deploys hundred of services beautifully.
AWS certification is all about learning and implying cloud services efficiently. The services that Amazon has in his backpack are:
Compute, Storage, Databases/data management, Migration with hybrid cloud, Networking, Development tools with Application Services, Management Monitoring, Security, Governance, Big Data management, analytics, Artificial Intelligence, Mobile development, Messages, AWS pricing models.
The practitioner learns all of the above deeply and with perfect detail. Down below I have tried my best to explain a few of them:
Also familiar with the acronym EC2 (Elastic Compute Cloud) — known as instances — for calculating the capacity. Dozens of instance types with changing capacities and sizes meant for particular workloads types and applications are offered here. Check here some of the EC2 applications.
Both the EC2 Container Service and EC2 Container Registry provide a switchability to work with Docker containers and images on the AWS platform.
Amazon Simple Storage Service (S3) provides practitioners with tremendous scalability and object storage for the trio of data backup, archival, and analytics. The limit of the room is 5 GB and the professional stores his data and files in S3 objects inside S3 buckets from the organizing point of view. Via the Infrequent Access storage tier, a business saves money with S3. For long-term cold storage, Amazon Glacier is used.
To use EC2 instances for persistent storage Amazon Elastic Block Store provides block-level storage volumes.
3. The database, and the Data Management
The Relational Database Service of Amazon supplies the managerial database which engulfs big names like Oracle, SQL, PostgreSQL, MariaDB, and an abundantly high-performing DB called Amazon Aurora. This also offers a well-managed NoSQL DB, by the road of Amazon DynamoDB.
For real-time applications and in-memory data caches, an AWS customer can make use of Amazon ElasticCache and DynamoDB Accelerator. A data warehouse is also offered by Amazon Redshift.
4. Migration, Hybrid Cloud
AWS users migrate applications, databases, servers, and data onto the public cloud. The provision of the location to monitor, and manage migrations from on-premises to the cloud is facilitated in AWS Migration Hub. The certified will have the knowledge of, EC2 Systems Manager which aids information technology members to configure on-premises servers and AWS instances.
The biggest e-commerce also shares her hands with some third-party technology sellers that make the hybrid cloud deployments buttery smooth.
VPC, an Amazon Virtual Private Cloud administers an admin to have the authority of a virtual network for using a solitude part of the AWS cloud. New resources within a VPC for better protection is provided by AWS automatically.
By using Application Load Balancer and Network Load Balancer, the admin can balance the network traffic. Along with this AWS also facilitates a domain name system called Amazon Route 53.
You can build a dedicated connection using the AWS Direct Connect from an on-premises data center.
6. Development Tools and Application Services
The developer can take advantage of AWS command line tools and SDKs (Software Development Kits) for deploying and managing applications and services. AWS CLI holds the code interface. In Windows Powershell, AWS tools can be implemented to take care of the AWS Serverless Application model, so that an AWS environment for testing Lambda can function.
The Amazon API Gateway smoothens the work of developers by creating, managing and monitor custom APIs. The AWS practitioner makes excellent use of AWS CodePipeline and other AWS star services.
The code can be stored on Git repositories combined with AWS CodeCommit and can imply AWS X-Ray for evaluating the microservices-based applications.
7. Management, Monitoring
The cloud resource configuration can be handled and taken care through AWS Config and its rules. This helps in the cutting of improperly configured and needless expensive cloud resource distributions.
You can automate infrastructure using AWS CloudFormation templates that is complied with AWS OpsWorks and Chef for system configurations.
8. Security, Governance
The huge bracket of services for cloud security, including AWS Identity and Access Management (IAM), allows the practitioner to define and manage user access to the resources. He can even create a user directory with Amazon Cloud Directory or can even link cloud resources to an existing MS Active Directory with AWS Directory Service.
9. Big Data Management, Analytics
The professional has hands-on Amazon Elastic MapReduce which offers a Hadoop framework so that processing of large amounts of data could be handled well, at the same time Amazon Kinesis provides a bunch of tools to process and analyze the streaming data.
The professional on the chair of the analyst can use Amazon Athena for S3 and use Amazon QuickSight for visualizations.
10. Artificial Intelligence
A range of AI model development and platforms needed to deliver them are packaged and bundled in AmazonAI suite. The suite includes Amazon Lex for voice and text chatbot technology.
The AWS Deep Learning AMIs help professionals to create and train custom models on a lot of GPUs or compute-optimized instances. TensorFlow and MXNet are also included.
11. Lower Cost Storage Class
On Feb 13, 2019, Amazon EFS introduced Lower Cost Storage Class. For the files that are less frequently accessed, a new storage class for Amazon EFS is brought into the light, i.e., Amazon EFS Infrequent Access (EFS IA)
This service delivers a simple, scalable, elastic file system for Linux-based workloads to be used with AWS cloud services and on-premises. The use of Amazon EFS even widens the set of applications.
12. EC2 Bare Metal Instances
This also on Feb 13, 2019, Amazon made available new 5 EC2 bare metal instances. These instances can help the developer to have direct access to the Intel Xeon Scalable processor and memory resources of the underlying server. The workloads that require hardware feature sets like Intel VT-x to run in non-virtualized environments, these instances are the best suites.
Businesses and professionals can take the best advantage of these latest services offered by AWS by putting them into practice as per the requirements.