AWS stands for Amazon Web Services. Tons of services are delivered by aloft Amazon. Amazon provides a comprehensive source cloud computing platform.
The cloud services of all three are delivered in a mix 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 bit subtle. .
Just, in short, these cloud services are:
In this offer, the provider makes it easy for its users to access computing resources such as servers, networks, and storage.
Here the cloud environment is provided to its users where they can do their daily work. Develop, manage and deliver applications, along with storage and other computing resources. One can make use of pre-built tools in development.
Access to the provider’s cloud-based software is provided to users. There is no need to install applications on local machines, the applications remain in the cloud network, which can be easily accessed over the Internet.
See also: Top 5 Cloud Migration Considerations for Enterprises
The amazing services of AWS
AWS pioneered the concept of a pay-as-you-go cloud computing model. To handle online retail operations, Amazon.com built AWS launched in 2006. The pay-as-you-go model of cloud computing scales provide its users with performance, computing and storage.
The AWS Certified Cloud Practitioner course will excel you in producing the whole package. The professional does not make mistakes, unlike the amateurs in the machines. The elegant and streamlined use of AWS is best known for certificates. He equips and deploys hundreds of services beautifully.
AWS Certification is all about learning and engaging cloud services efficiently. The services that Amazon has in its backpack are:
Compute, Storage, Database/Data Management, Hybrid Cloud Migration, Networking, Development Tools with Application Services, Management Oversight, Security, Governance, Big Data Management, Analytics, Artificial Intelligence, Mobile Development, Messaging, AWS pricing models.
The practitioner learns all of the above deeply and in perfect detail. I have tried my best to explain some of them below:
Also familiar with the acronym EC2 (Elastic Compute Cloud), known as instances, to calculate capacity. Offered here are dozens of instance types with varying sizes and capacities aimed at particular types of workloads and applications. Check here some of the EC2 applications.
Both EC2 Container Service and EC2 Container Registry provide the switching capability to work with containers and Docker images on the AWS platform.
Amazon Simple Storage Service (S3) provides professionals with high scalability and object storage for the trio of data backup, archive, and analytics. The room limit is 5 GB and the professional stores their data and files in S3 objects inside S3 buckets from the organization’s point of view. Through the infrequently accessed storage tier, a company 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 data management
Amazon’s relational database service provides the management database that includes big names like Oracle, SQL, PostgreSQL, MariaDB, and a high-performance database called Amazon Aurora. This also offers a well-managed NoSQL database, in the way of Amazon DynamoDB.
For real-time applications and in-memory data caches, an AWS customer can use Amazon ElasticCache and DynamoDB Accelerator. Amazon Redshift also offers a data warehouse.
4. Migration, Hybrid Cloud
AWS users migrate applications, databases, servers, and data to the public cloud. Location provisioning for monitoring and managing migrations from on-premises to the cloud is made easy in the AWS Migration Hub. The certificate will have knowledge of EC2 Systems Manager, which helps IT members set up on-premises servers and AWS instances.
The largest e-commerce also shares hands with some third-party technology vendors that make hybrid cloud deployments seamless.
VPC, a virtual private cloud from Amazon manages an administrator to have the authority of a virtual network to use a part of the solitude of the AWS cloud. AWS automatically provides new resources within a VPC for better protection.
By using Application Load Balancer and Network Load Balancer, the administrator can balance network traffic. Along with this, AWS also facilitates a domain name system called Amazon Route 53.
You can create a dedicated connection using AWS Direct Connect from an on-premises data center.
6. Application development tools and services
The developer can take advantage of AWS command line tools and SDKs (Software Development Kits) to deploy and manage applications and services. AWS CLI contains 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 work.
Amazon API Gateway makes it easy for developers to create, manage, and monitor custom APIs. The AWS Practitioner makes excellent use of AWS CodePipeline and other flagship AWS services.
Code can be stored in Git repositories combined with AWS CodeCommit and can involve AWS X-Ray to evaluate microservices-based applications.
7. Management, Monitoring
The configuration of cloud resources can be managed and taken care of through AWS Config and its rules. This helps eliminate misconfigured and unnecessarily expensive cloud resource distributions.
You can automate infrastructure using AWS CloudFormation templates that are compliant with AWS OpsWorks and Chef for system configurations.
See also: Best practices for implementing Azure Cloud Security
8. Security, Governance
The myriad of cloud security services, including AWS Identity and Access Management (IAM), allow the professional to define and manage user access to resources. You can even create a user directory with Amazon Cloud Directory or you can even link cloud resources to an existing MS Active Directory with AWS Directory Service.
9. Big Data management, analysis
The professional has Amazon Elastic MapReduce handy, which offers a Hadoop framework so that processing large amounts of data can be handled well, while Amazon Kinesis provides plenty of tools to process and analyze streaming data.
The professional in the analyst’s chair can use Amazon Athena for S3 and use Amazon QuickSight for visualizations.
10. Artificial Intelligence
A range of AI model development and the platforms required to deliver them are packaged and bundled into the AmazonAI suite. The suite includes Amazon Lex for voice and text chatbot technology.
AWS Deep Learning AMIs help professionals build and train custom models on many GPUs or compute-optimized instances. TensorFlow and MXNet are also included.
11. Lowest cost storage class
On February 13, 2019, Amazon EFS introduced the lowest cost storage class. For less frequently accessed files, a new storage class is introduced for Amazon EFS, i.e. Amazon EFS Infrequent Access (EFS IA)
This service offers a simple, scalable, and elastic file system for Linux-based workloads to be used with AWS cloud services and on-premises. Using Amazon EFS even extends the suite of applications.
12. EC2 bare metal instances
This also on February 13, 2019 Amazon made available new 5 bare metal EC2 instances. These instances can help the developer have direct access to the underlying server’s Intel Xeon Scalable processor and memory resources. For 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 full advantage of these latest services offered by AWS by implementing them as per requirements.