DinoStore Using AWS Cloud

Lab 1: Provisioning Durable Storage with S3
Amazon Simple Storage Service is storage for the World Wide. The main purpose to make web-scale computing easier for developers. Amazon S3 has very simple web service interface that you can use to store and retrieve any amount of data, at any time and also from anywhere by using web more…

Lab 2: Using RDS with ASP.NET Applications
Amazon RDS (Relational Database Services) make relational database very easy to use and also operate and make more flexible. By using RDS, administrator make her/his self more free and also a benefit is for cost efficient, and more re-sizable capacity. There are total siz different database which is provide by AWS like Amazon Aurora more…

Lab 3: Using DynamoDB as a Session State Provider
This service is know as a NoSQL database service and it is really good for application because of consistent, single-digit millisecond latency at any scale. this one is complete manage by cloud database and support both things like document and key-values. Use of this data base is in many ways like IoT, Gaming, web and mobile technology more…

Lab 4: Configuring the System to use Simple Queue Service
By using AWS SQS data will be transfer between application components and it is helps to decouple these components. This offers a very reliable, high-scalable hosted queue for storing messages as they travel between applications or microservices. It is support FIFO queues and standard queues more…

Lab 5: Adding EC2 Virtual Machines and Deploying the Web App
Amazon Elastic Compute Cloud (Amazon EC2) is a web-service that provide very secure and resizable compute capacity on the cloud, this is designed specially for cloud computing for easy developing. Amazon EC2 use optimize the cost and the time. You can deploy this instance in a few minutes more…

Lab 6: Creating and Using AMIs
By using Amazon Machine Image (AMI) provides the information required to launch an Instance, which one is virtual on the cloud. Just specify an AMI when you launch an Instance, you can launch many same Instance at the same time as you need. By using AMI we are able to make a template more…

Lab 7: Using Elastic IPs
By using Amazon Machine Image (AMI) provides the information required to launch an Instance, which one is virtual on the cloud. Just specify an AMI when you launch an Instance, you can launch many same Instance at the same time as you need. By using AMI we are able to make a template more…

Lab 8: Using ELB to Scale Applications
By using Elastic Load Balancer in Amazon use to distributes incoming application traffic across multiple Amazon EC2 Instance. It is really useful to reduce chances about fault tolerance in your applications. In Amazon Elastic Load Balancer there are two different option while creating this one is Classic and second is Application Load Balancer more…

Lab 9: Enabling Auto Scale to Handle Spikes and Troughs
Auto Scaling helps you to maintain application availability and allow to scale your Amazon EC2 capacity up or down automatically according to condition of your define. So by using this Auto scale we make sure what ever we need EC2 instance they all are running. It is also possible to increase the number more…

Lab 10: Configuring DNS with Route 53
Amazon Route 53 is a very highly available and scalable cloud Domain Name System (DNS) web services. It is designed to give more reliability for the developer and business and also cost effective to route multiple users to the internet applications by converting name like more…