Introduction to AWS Training:
AWS is a secured cloud computing platform that provides computing capacity, databases, content delivery and much more. The platform also works with a pay-as-you-go pricing model which means you only pay for the services offered by the AWS, you use. The applications on AWS are having a reliable infrastructure and its scalable which runs an On-demand structure. It is very flexible because of the design options present in the cloud. Ides Trainings provides you with the best AWS training in Hyderabad. We provide Online training, Corporate training, Classroom training. We provide Virtual Job Support as well. Our expert trainers will give you the complete knowledge on AWS i.e., from beginner to advanced level. We customize the schedule according to one’s feasibility.
Prerequisites of AWS Training:
At IdesTrainings, learn AWS Training with the Basic Knowledge of
Operating System
Virtualization
Networking
Any Programming Language
AWS Training Course Details:
Course Name: AWS Training
Mode of Training: We provide Online Training and Corporate Training for AWS Course. We provide Virtual Job Support as well.
Duration of Course: 30 Hrs (Can be Customized as per the requirement)
Do We Provide Materials? Yes, if you register with IdesTrainings, the AWS Training Materials will be provided.
Course Fee: After register with IdesTrainings, our coordinator will contact you.
Trainer Experience: 15 years+
Timings: According to one’s feasibility
Batch Type: Regular, weekends and fast track
AWS TRAINING COURSE CONTENT
Module 1 – Preface to AWS
1.1 Classic Data Center
1.2 Virtualization
1.3 Cloud and Cloud Computing
1.4 Cloud Computing Service Models
1.5 Cloud Computing Deployment Models
1.6 Service Comparison: AWS, Azure, and GCP
1.7 Amazon Web Services (AWS) and its Benefits
1.8 AWS Global Infrastructure
1.9 AWS Regions and Replication of data between the Regions
1.10 Availability Zones and High Availability
1.11 PoP Locations
1.12 Signup an AWS Free Tier Account
1.13 Different Amazon Web Services
1.14 Ways to access AWS: CLI, Console, and SDKs
1.15 Explore Management Console and Configure AWS CLI
1.16 AWS CloudShell
Hands-On:
1.17 Sign-up for AWS free-tier account
1.18 Explore Console and Configure CLI
Module 2 – Amazon EC2
2.1 Virtualization
2.2 Amazon Elastic Compute Cloud (EC2) and Its Benefits
2.3 Amazon Machine Image (AMI)
2.4 Security Groups in AWS
2.5 Authentication through Key-pair
2.6 Hardware Tenancy – Shared vs. Dedicated
2.7 Networking Layer in EC2: VPC
2.8 Elastic Network Interface (ENI) and Its Attributes
2.9 Different Categories of IP Address
2.10 Public IP vs. Elastic IP
2.11 Instance Store
2.12 Elastic Block Store (EBS), Its Features and Volume Types
2.13 Solid State Drive: General Purpose SSD and Provisioned IOPS
2.14 Hard Disk Drive: Throughput Optimized HDD and Cold HDD
2.15 Snapshots
2.16 Elastic File System (EFS) and Its Features
2.17 EBS vs. EFS
2.18 Amazon FSx: Windows File Server and Lustre
2.19 AWS Batch
Hands-On:
2.20 Creating an EC2 instance
2.21 Creating a Custom AMI
2.22 Host your website inside your EC2 Instance
2.23 Create an Elastic IP
2.24 Attaching the EBS Volume Externally
2.25 Create a Snapshot
2.26 Attach EFS Volume to an EC2 instance
2.27 Mount Fsx into Windows Servers and Share the same file
Module 3 – AWS Storage Options
3.1 Traditional Storage
3.2 Need to Move to Cloud Storage
3.3 Traditional vs. Cloud Storage Cost
3.4 Cloud Storage
3.5 Different Storage Options Available on AWS
3.6 Simple Storage Service (S3) and Its Components
3.7 Working of S3
3.8 Bucket Policy
3.9 Access Control List(ACL)
3.10 Versioning
3.11 S3 Replicate
3.12 Cross-Region Replication (CRR) and Its Use Case
3.13 Amazon S3 Transfer Acceleration
3.14 Choice of Storage Classes on S3
3.15 Lifecycle Policy of S3 Bucket
3.16 AWS Backup
3.17 S3 Batch Operation
3.18 CDN: CloudFront
3.19 Storage Gateway
Hands-On:
3.20 Hosting a Static Website on Amazon S3
3.21 Versioning in AWS S3
3.22 Replicating data across regions
3.23 Transfer and retrieve data from Glacier through lifecycle policy
3.24 Build a Backup plan from scratch and Create Backup Vault
3.25 Accessing a static website through CloudFront
3.26 File Share via AWS Storage Gateway
Module 4 – Networking using AWS
4.1 VPC – Benefits and Components
4.2 CIDR Notations
4.3 IP Address
4.4 Network Access Control List v/s Security Groups
4.5 NAT (Network Address Translation): NAT Devices, NAT Gateway, and NAT instance
4.6 VPC peering
4.7 Direct Connect
4.8 Private Link
4.9 AWS Transit Gateway
4.10 AWS Global Accelerator
Hands-On:
4.11 Create a Non-default VPC and attach it to an EC2 instance
4.12 Accessing Internet inside Private Subnet using NAT Gateway
4.13 Connect two instances in different VPCs using VPC peering
4.14 Accessing Application within two VPCs (Different Accounts) connected via a Private link
Module 5 – Load Balancing, Auto Scaling, and Routing using AWS
5.1 Elastic Load Balancer
5.2 Classic Load Balancer
5.3 Application Load Balancer
5.4 Advanced Features of ELB
5.5 Benefits and Components of Application Load Balancer
5.6 Application V/S Classic V/S Network Load Balancer
5.7 Load Balancer Troubleshoot
5.8 Auto Scaling and its Benefits
5.9 Auto Scaling Components
5.10 Auto Scaling Groups
5.11 Launch Configurations/ Launch Templates
5.12 Scaling Policies
5.13 Lifecycle of Auto Scaling
5.14 Working of Load Balancer and Auto Scaling
5.15 Scaling Policy
5.16 Use Case of DNS
5.17 Need of Route 53
5.18 Route 53 and its Working
5.19 Various Routing Policies: Simple, Weighted, Latency-Based, Geolocation and Failover
5.20 How to Point a Sub Domain to EC2 Box in Route 53
Hands-On:
5.21 Creating a Classic Load Balancer
5.22 Creating a Network Load Balancer
5.23 Understand the working of Application Load Balancer
5.24 Creating ASG with Launch Template
5.25 Maintaining the User Experience with Low Latency Using Route 53 Traffic Flow Feature
Module 6 – AWS Database Services
6.1 Amazon RDS and its benefits
6.2 Read Replica
6.3 RDS IAM Authentication
6.4 DynamoDB
6.5 ElastiCache: Working, Redis vs. Memcached
6.6 Amazon Redshift
6.7 Amazon Aurora
6.8 Amazon Aurora Serverless
6.9 Amazon Keyspaces (for Apache Cassandra)
Hands-On:
6.10 Storing Application Data in MySQL DB using Amazon RDS
6.11 Perform CRUD operations on No-SQL Database
6.12 Caching data using Amazon ElastiCache
6.13 Managing Airline data using managed Data warehouse service AWS Redshift
6.14 Amazon Keyspaces – CRUD operations using CQL Editor
Module 7 – Identity and Security Management in AWS – Part I
7.1 User management through Identity Access Management (IAM)
7.2 Various access policies across AWS Services
7.3 Security Token Services
7.4 AWS Resource Access Manager (RAM),
7.5 AWS Single Sign-On (SSO)
7.6 AWS Cognito
7.7 AWS Artifact
7.8 AWS Audit Manager
7.9 AWS Certificate Manager (ACM)
7.10 AWS Directory Service
7.11 Best practices for IAM
7.12 Access billing and create alerts on billing
Hands-On:
7.13 Create new users who can log in to the AWS console
7.14 Create a role for an application to access S3
7.15 Create policies for new users to have either admin or limited privileges
7.16 Configuring Strong and Secure Authentication Access Mechanism using Amazon Cognito
Module 8 – Identity and Security Management in AWS – Part II
8.1 AWS Security & Encryption: KMS, CloudHSM, Shield, WAF, Guard Duty
8.2 API keys service access
8.3 AWS Secrets Manager
8.4 AWS Security Hub
8.5 Amazon Detective
8.6 AWS Firewall Manager
8.7 AWS Network Firewall
8.8 Amazon Inspector
8.9 Amazon Macie
8.10 AWS Trusted Advisor
Hands-On:
8.11 Configure WAF to Protect Website from Attacks
8.12 Monitoring Malicious Activity or Unauthorized Behaviour via GuardDuty
8.13 Explore Trusted Advisor
8.14 Collecting Security logs using Amazon Detective
Module 9 – Monitoring Resources and Governance in AWS
9.1 AWS CloudWatch
9.2 AWS CloudTrail
9.3 AWS Config
9.4 AWS Control Tower
9.5 AWS License Manager
9.6 AWS Organizations
9.7 AWS Personal Health Dashboard
9.8 AWS Service Catalog
9.9 AWS Systems Manager
Hands-On:
9.10 Monitoring Application Metrics Using CloudWatch Dashboard
9.11 Auditing Amazon Cloud Services via AWS CloudTrail
Module 10 – Application Services, Serverless Computing and Provisioning Infrastructure
10.1 AWS Simple Email Service (SES)
10.2 Implement SES
10.3 Demonstrate the working of SNS
10.4 SQS: Work with SQS, ASG with SQS
10.5 Amazon MQ
10.6 Amazon Event Bridge
10.7 AWS Simple Notification Service (SNS)
10.8 AWS Step Functions
10.9 AWS Lambda
10.10 AWS Fargate
10.11 AWS Serverless Application Model
10.12 AWS CloudFormation
10.13 AWS Elastic Beanstalk
Hands-On:
10.14 Send an Email(SES) on the addition of user data(Lambda) in the DynamoDB table.
10.15 Monitor status of EC2 instance using a combination of EventBridge and SNS.
10.16 Manage tightly coupled architecture using Amazon SQS.
10.17 Create workflows using AWS Step Functions to coordinate application logic across distributed systems.
10.18 Create Cloud Formation templates using both JSON and YAML
10.19 Deploy a Web Application with DynamoDB using Beanstalk
Module 11 – Cloud Analytics and Cost Management on AWS
11.1 What is Cloud Analytics?
11.2 AWS Analytics Services
11.3 Amazon Athena
11.4 How to use Amazon Elastic MapReduce (EMR)?
11.5 Amazon Kinesis
11.6 How to visualize Web Traffic Using Kinesis Data Stream
11.7 Amazon Elasticsearch
11.8 Amazon QuickSight
11.9 AWS Lake Formation
11.10 AWS Cost Management
11.11 AWS Cost Management Services
11.12 AWS Cost Explorer
11.13 AWS Budgets
11.14 AWS Cost Optimization
Hands-On:·
11.15 Analyzing CloudTrail Logs Using Amazon Athena
11.16 Analyzing Fine-Grained Metrics Using Apache Hive on Amazon EMR
11.17 Design Solution using Amazon Kinesis Data Steam, Kinesis Firehose, Kinesis Analytics
11.18 Analyzing VPC Network Data Using Elasticsearch and Kibana
11.19 Set Alerts and Create a Budget for Your AWS Account
11.20 Managing an AWS Account Cost
Module 12 – AWS Architectural Designs – I
12.1 AWS Well-Architected Framework
12.2 How to Build a Well-Architected Framework
12.3 Pillars of AWS Well-Architected Framework
12.4 Resilience
12.5 Design Highly Available and/or Fault-Tolerant Architectures
12.6 Choose Appropriate Resilient Storage
12.7 Designing Decoupling Mechanisms Using AWS Services
12.8 Design a Multi-tier Architecture Solution
12.9 Disaster Recovery (DR)
12.10 Options to Implement DR Plans
12.11 Design High-Performance Architecture
12.12 Achieve Performance Efficiency using Selection
12.13 Achieve Performance Efficiency using Review
12.14 Achieve Performance Efficiency by Monitoring
12.15 Achieve Performance Efficiency by Performing Trade-offs
Hands-On:
12.16 Designing a website using Serverless Architecture
Module 13 – AWS Architectural Designs – II (Self-paced)
13.1 Design Secure Applications and Architectures
13.2 Cloud Security
13.3 AWS IAM
13.4 How IAM Secures your Resources
13.5 Identity and Federation
13.6 Shared Responsibility Model
13.7 Shared Responsibility Model for Infrastructure Services
13.8 Shared Responsibility Model for Container Services
13.9 Shared Responsibility Model for Abstraction Services
13.10 Network Security Layer
13.11 Multi-Layer Architecture With Network Security
13.12 AWS HSM and its working
13.13 AWS S3 Security
13.14 AWS Security and Compliance Centre
13.15 Design Cost-Optimized Architectures
13.16 Cost Optimization
13.17 Cost Optimization Design Principles
13.18 Cost Effective Resources
Module 14 – Migrating to Cloud (Self-paced)
14.1 Why Cloud Migration
14.2 What is Cloud Migration
14.3 Migration Phases
14.4 CAF Perspectives and their Roles
14.5 AWS Migration Hub and ways to use AWS Migration Hub
14.6 AWS Migration Hub use cases
14.7 AWS Application Discovery Service
14.8 Application Discovery Tools
14.9 Application Migration to AWS
14.10 Application Migration Phases
14.11 AWS Server Migration Service(SMS) and it’s working
14.12 Database Migration Service
14.13 Working of DMS
14.14 AWS Database Migration use cases
14.15 Types of data transfer: Homogenous and Heterogenous
14.16 Database Schema Migration tool
14.17 Database Migration best practices
Hands-On:
14.18 Gather Details of Migrating resources via Application Discovery Service and track the migration via AWS Migration Hub.
14.19 Migrating 3-tier Application to AWS Cloud
14.20 Homogenous Database Migration
14.21 Heterogeneous Database Migration
Module 15 – Containers in AWS (Self-paced)
15.1 ECS Introduction
15.2 Need for ECS
15.3 ECS Cluster
15.4 ECS Task Definition
15.5 ECS Service
15.6 ECR Introduction
15.7 Need for ECR
15.8 Push an image to ECR
15.9 ECS Service with a load balancer
15.10 Deploy an application over the ECS cluster
15.11 EKS
15.12 Need for EKS
15.13 EKS Architecture
15.14 EKS Cluster
15.15 Creating an EKS Cluster
15.16 EKS Cluster cost
Hands-On:
15.17 To Push An Image Into ECR
15.18 To Host A Website Inside ECS
15.19 Create an EKS Cluster
15.20 Access Kubernetes Dashboard Using eksctl
Module 16 – AWS Machine Learning and Media Services (Self-paced)
16.1 What is Machine Learning (ML)?
16.2 AI vs. Machine Learning vs. Deep Learning
16.3 Steps of Machine Learning
16.4 Types of Machine Learning algorithms
16.5 Machine Learning on AWS cloud platform
16.6 Amazon SageMaker
16.7 Amazon SageMaker components
16.8 Business Intelligence – Amazon QuickSight
16.9 What are Chatbots?
16.10 Amazon Lex
16.11 Key concepts of Amazon Lex
16.12 Working on Amazon Lex
16.13 Amazon Rekognition
16.14 How Amazon Rekognition works?
16.15 Amazon Polly
16.16 How does Amazon Polly work?
16.17 Amazon Elastic Transcoder
16.18 Amazon Kinesis Video Streams
Hands-On:
16.19 Convert Text into Speech using Amazon Polly
16.20 Detect Objects using Amazon Rekognition
16.21 Create Chabot using Amazon Lex
16.22 Deploy machine learning model using Amazon SageMaker
Overview of AWS Training:
Amazon Web Services (AWS) is the leader of cloud industry. It is a cloud provider which provides its users a wide range of services via internet. They provide scalable and reliable cloud services. You have to pay just for what you have used. Many companies like Netflix, Unilever and Expedia are using Amazon Web Services for their own personal needs.
What is AWS (Amazon Web Services)?
AWS (Amazon Web Services) is a subsidiary of Amazon.com that offers on-demand cloud computing platforms to individuals companies and governments, on a paid subscription basis with a free-tier option available for 12 months. The most profitable Amazon division provides servers, storage, networking, remote computing, email, mobile development, and securities. Amazon EC2 and Amazon S3 are the most centralized and popular of these services. The main aim of these services is to take a headache out of traditional hosting solutions. One of the main reasons for its popularity is it offers low-cost loyalty services.
AWS offers the widest variety of databases that are purpose-built for different types of applications. AWS can leverage the largest technologies to experiment and innovate more quickly. We are continually accelerating our pace of innovation to invent entirely new technologies you can use to transform your business like pioneering the serverless computing space with the launch of AWS Lambda, which lets developers run their code without provisioning or managing servers and AWS builds amazon sage maker, a fully managed machine learning service that empowers everyday developers and scientists to use machine learning without any previous experience.
Why AWS?
AWS provides on-demand delivery of technology services via the internet with pay-as-you-go pricing you can use these services to build and run virtually any type of application without upfront costs or ongoing commitments, you only pay for what you use.
They are constantly expanding our global networks of AWS regions, so you can access AWS Services to build and run your applications from anywhere in the world. Each of these regions has multiple availability zones that are physically separated from each other and connected by low latency, high throughput, and highly redundant networking. This makes it easy to design and operate applications that are scalable, fault-tolerant, and highly available to satisfy the security standards of the most risk-sensitive organizations and you can also have access to the AWS partner network which has thousands of systems integrators which is specialized in AWS services and tens of thousands of independent software vendors who adapt their technology to work on AWS with the largest community of customers across every industry.
AWS has unmatched experience and operational expertise on which you can depend for most of the applications in every imaginable use case.
Other Cloud Providers
Microsoft Azure: Azure is owned by Microsoft, and they also host their own products on it like office 365, and also you can do native integration of IDEs like XCode, IntelliJ IDEA and visual studio.
Google Cloud: We all know Google is the biggest brand name in the internet industry. Google cloud came around 2011 and it has become a hit. It is now the third most popular cloud provider in the world.
Alibaba Cloud: Alibaba is a China-based company. Alibaba cloud is also called as Aliyun. It basically provides services to businesses who want to host their services online.
IBM Cloud: IBM cloud is also similar to Azure, Google and Amazon Web Services. It also provides services like compute, networking and storage services.
VMware: VMware is a software virtualization company. So, basically, they provide virtual machines via the internet to users or companies.
Salesforce: Salesforce is also a cloud platform and their main tool is CRM i.e., customer resource management. They are considered to be the number one at it.
Learn some important points about Amazon Web Services in AWS Training:
Amazon Web Services (AWS) is the pioneer in cloud computing, provides a secure cloud services platform to database storage, content delivery and other functionality that can help the business growth.
In 2008, AWS released its initial offering which Amazon called it as ‘Infrastructure web services’ consisting of 12 services. Most prominent among them were
- Amazon Elastic Compute Cloud (EC2)
- Amazon Simple Queue Service
- Amazon Simple Storage Service(S3) – Cloud storage
- Amazon Simple DB
- Amazon Relational Database Service (Amazon RDS)
- Amazon Cloud Front
- Amazon Simple Notification Service (Amazon SNS)
- Amazon Simple Queue Service (Amazon SQS)
- Amazon Virtual Private Cloud (Amazon VPC)
Learn about Amazon Elastic Compute Cloud in AWS Training:
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that offers secure, resizable compute capacity in the cloud. Amazon EC2’s simple web service interface allows you to achieve obtain and configure capacity with minimal friction. It provides you full control of your computing resources and lets you run Amazon’s proven computing environment.
- Elastic Webscale Computing: Amazon EC2 enables you to increase or decrease efficiency within minutes, not hours or days. You can simultaneously hand over server versions, hundreds, or thousands of server versions.
- Completely Controlled: You have full control over your circumstances, including the root access and the ability to interact with any machine you have. Once you have retrieved the data in the boot partition, disable any context and then restart the same context using the Web Service APIs. You can remotely reboot using the Web Services APIs, and you also have access to their console output.
- Inexpensive: Amazon EC2 offers you financial benefits to Amazon’s level. You have to pay a very low rate for the calculation efficiency you actually use.
Learn about Amazon Simple Storage Service (S3) in AWS Training:
Companies today need to simply and securely collect data to store and analyze their data at a massive scale but today’s fragment of data storage portfolios force businesses to struggle with complexity and slow down innovation that’s why AWS Storage Services give you a place to store all of your data.
- Ease of integration with third-party applications: Of the many benefits of Amazon S3, one of our favorites is how easy it is to connect data stored on S3 via Amazon’s Restful API and SDK with third-party applications.
- Scalability on-demand: If scalability of your application both up and down over time may be a thought for you once choosing a cloud-based information storage service, then S3 is certainly a good pick.
- Industry-leading security: Organizations each day are developing tighter more stringent restrictions around security both within their organizations and externally.
Learn about the Amazon Simple Queue Service in AWS Training:
Amazon Simple Queue Service (SQS) is a fully functional message queuing service that allows you to sort and scale micro-services, distributed systems, and servers fewer applications. SQS provides two types of message queues. They are Standard queues, SQS FIFO queues.
- Reliably deliver messages: Use Amazon SQS to send any data, any kind of data, without needing to lose messages or other services available. SQS allows you to decompose the application parts, thereby increasing the total error they have installed, running independently and failing.
- Keep Sensitive data secure: Keep Sensitive Data Safe You can use Amazon SQS to exchange sensitive information between applications that use server-side encryption (SSE) to encode every message body.
- Scale Elastically and Cost-effectively: Amazon influences AWS cloud to a dynamic level based on SQS demand. The SQS has slow standards for your applications, so you do not have to worry about capacity planning and prior allocation. There is no limit to the number of messages in the queue, and standard queues provide almost unlimited outputs. Costs provide substantial cost income with the “always” model of self-managed messaging middleware.
Learn about AWS Identity and Access Management (IAM) in AWS Training:
- IAM stands for Identity and Access Management. IAM is part of the administration and security group of services. AWS IAM is a web service, it can use to manage users and user permissions under your AWS account.
- IAM enables securely control access to AWS services and resources for users of your AWS account. Using IAM you can create and manage AWS users and groups and assign permission to them to allow and deny their access to AWS resources.
- You can create users in IAM, assign them individual security credentials. As such, get to keys, passwords, and multifaceted confirmation gadgets or demand brief security qualifications to give clients access to AWS administrations and assets.
- We can manage permissions in order to control which operations a user can perform. Permissions are managed by creating IAM policy statements that define permissions by specifying actions, the resource that can be affected by those actions, and whether the action is being allowed or denied.
- Policies can be attached to users, groups, roles or resources. You can use IAM roles to provide temporary credentials to provide access to IAM users, federated users, applications, or services that don’t normally have access to your AWS resources.
- You can create roles in IAM and attach policies to control, which operations can be performed by the entity that assumes the role. We explaining AWS IAM with examples and also explains AWS security, AWS S3 Administration by highly skilled professionals.
- IAM allows users to control access to AWS training service APIs and specific resources. You can also add specific conditions how a user can be AWS such them to use SSL or enforcing the use of multi-factor authentication as limiting access by time of day, restricting their originating IP address, requiring the device.
Why is AWS Successful?
They have started AWS in the year 2006, and it is still the number one cloud platform. Before even a cloud company thought of it, Amazon Web Services already revolutionized the IT industry by introducing companies a new way to use servers. There are three key points which made AWS successful.
Simple and per hour billing – The billing system of AWS is very simple that you will be only charged for the particular services which you use and it is also based on the number of hours you use, not the days or months.
Amazon’s Brand name – Amazon.com is a household name all over the globe because it is the biggest e-commerce platform.
Easy profile setup – The first thing you have to do is provide your details, your email address, your username and password, just like you create a social media profile. The second step is you have to give your credit or debit card details and that’s it. Your AWS profile has been set up.
What makes AWS peculiar?
Amazon has its own leadership principles and it makes its employees follow that. A few examples for that are:
Customer Obsession: Customer obsession is that leaders start with the customer and work backwards. The first thing they follow is they meet the customers’ wants, that means, whatever the customer wants they want to give, then they work backwards, they reverse engineer.
Invent and Simplify: Leaders expect and require innovation and invention from their teams and always finds way to simplify. They also need inventions and also, they need to simplify it. The simplified most easiest user-friendly manner is more attractive for a customer.
Ownership: Leaders are owners. All the employees in AWS or Amazon need to have that feeling of ownership.
Learn and be curious: Leaders are never done with learning and always seek to improve themselves. So always keep on learning and be curious in what you do.
Service Domains in AWS
AWS provides services in compute, it gives in storage, database, security, management, customer engagement, app integration, etc.
Compute – Compute domain deals with servers. So, if you need servers, or if there is a workload which needs processing, the compute domain will have services that you can launch and implement that workload.
Storage – Storage deals with storing binary files on the remote servers, so for that we have dedicated services.
Database – In the database domain you have lot of services. So, if you have structured data, you have one kind of database for that or you have one kind of database service for that. If you have unstructured data, you have another database service.
Security – Security related to the application that you have uploaded to the servers that you are using to the account that you are using would be included in security. So, there are specific services for each kind of workload.
Management – This includes monitoring, which would include deploying the whole architecture at once.
Customer Engagement – This domain includes sending email, notifications to the customers.
App Integration – This domain includes services like queues, for example, if you have an application on which you have to give a lot of jobs, it is better to have a queue where you will store all your jobs and that queue is separate from the server which will be executing your jobs. So, this type of integrations is called app integrations.
Difference between Storage and Database
Storage is basically used when you have a workload wherein you want to upload binary files. Files like video files or mp3 files or photo files, all these files are called binary files because they’re not data. It is content and that content is basically binary in nature. So, all your videos, all your music, any kind of file which you execute, your games, all of those are binary files. When you compare it with database, database usually deals with databases textual in nature and has a proper structure; it could be unstructured as well but basically textual data that a human can read is included inside a database. On the other hand, files that run on computer, for example, any program or any video file, any music file, or any other file in that case, these kinds of things should be stored on a storage kind of platform. It cannot be stored on a database. It can be stored but it makes the size of the database big which causes a problem when you are querying through the data, when you are using a database.
Reasons to choose AWS
EASE OF USE: AWS maintains a document for each service under Developer Resources, listing how to use the AWS dashboard to deploy and maintain any service.
THIRD PARTY APIs: AWS API means you can manage your cloud-based infrastructure through various third-party software like Cloud ranger, Quintly, and Tango card are available to help you utilize the time and cost-saving features AWS has to offer.
SCHEDULING: Scheduling means that you can start and stop AWS services at predetermined times.
CUSTOMIZATION: Customization such as customer-defined tagging allows users to easily monitor and manage their specific resources. It can be used to implement cost tracking, security, and automation.
FULL STACK OF SERVICES: AWS provides a wide range of services converting all your cloud computing requirements.
DATA PRIVACY: Data privacy is offered to every AWS customer regardless of their business size. AWS ensures data privacy through Physical security, Fine-grained access, and Data locality control.
AVAILABILITY: AWS services are known for their availability zones. The AWS cloud spans 54 availability zones within 18 geographic regions and one local region around the world. Each AWS region has multiple availability zones and data centers.
RELIABILITY AND RECOVERY: Reliability is the bestselling point of AWS and is achieved through multiple backups of servers at multiple physical locations.
FLEXIBILITY AND SCALABILITY: AWS services are always flexible to your needs and you can auto-scale them as per your requirements. Businesses do not have to deal with the constraints of physical computing infrastructure and can have access to servers and storage on demand.
PRICING: AWS has pay as you go approach when it comes to pricing, in addition, data transfer into AWS is always free of charge.
Applications of AWS Services
- Website Hosting
- Application Hosting/SaaS hosting
- Media Sharing Image/Video
- Mobile and Social Applications
- Content Delivery and Media Distribution
- Storage, Backup, and Disaster Recovery
- Development and Test Environments
- Academic Computing
- Search Engines
- Social Networking
ADVANTAGES OF AWS
- It is a cost-effective service that allows you to pay only for what you use, without any upfront or long-term commitments.
- You will not require to spend money on running and maintaining data centers.
- Offers fast deployments.
- You can easily add or remove capacity
- Offers centralized billing and management and hybrid capabilities
The Future of AWS
The four job trends of AWS are:
AWS SysOps administrator
Cloud developer
AWS Solutions Architect
Cloud software engineer
The salary of AWS SysOps administrator is $111,000 to $160,000. The salary of the cloud developer is $95,000. For AWS Solutions Architect, it is between $98,000 to $150,000. For Cloud software engineer, it is between $63,000 to $93,000. These are all the numbers for a fresher. The salaries may vary with your experience. If you are an experienced person in the cloud industry or in AWS, you might be earning more than this.
Conclusion to AWS Training:
Amazon Web Services (AWS) is an online platform which provides scalable and cost-effective global cloud computing solutions. It offers compute power, database storage, content delivery and other functionality which helps businesses scale and grow. Ides Trainings provides you with cost-effective services. We provide the quality content for all the courses. We wish to maintain a long-term relation with our clients so we strive to give them the best of our services. The job scope of this course is very high. This course is one of the highly paid jobs in the world. To get the complete training details contact to the information provided.
Frequently Asked Questions (FAQs)
1.How many attempts are there for AWS Certification?
There is no limit for AWS certification. Once you pass the exam you cannot take the same exam for two years. You have to pay the full registration fees for every attempt.
2.How long is AWS Certification valid?
AWS Certification is valid for three years. To maintain the AWS certification, you have to periodically demonstrate your certification through a process called recertification.
3.How much does an AWS Certified person earn?
AWS Certified person earns an average salary of $155,000 per annum.
4.Does AWS require coding?
No, to learn AWS you don’t have to know coding as many basic tasks can be performed.
5.What is the most basic AWS Certification course?
The basic AWS Certification is AWS Certified Cloud Practitioner (CCP).