We have several instances and applications that we run using WordPress. For that, I needed an easy, secure, and faster solution with different options to back up the website and data. Amazon EC2 offers options to back up data using the S3 version control system, which worked really well for us. Moreover, it's cost-effective.

Having a load balancer in between is very helpful when you have huge traffic. It has been beneficial for handling around 80,000 to 200,000 visitors a month on our blog.

Amazon EC2 Auto Scaling is used to divide the heavy traffic of our solutions and process the request properly.

In my company, we use Auto Scaling for EC2 instances. I use Auto Scaling with a load balancer when there is very high internet traffic and we need to serve more users. The load balancer will just scale up to serve more users.

The tool serves several purposes. It helps to pass instances automatically. We can perform maintenance on instances and application upgrades.

We use Amazon EC2 Auto Scaling for SAP workloads to the cloud.

We use the product as a computing machine. By clicking on the portal, we can create different machines with specific features, like memory size.

We have EC2-based architectures. We deploy our applications on EC2. We also use Amazon RDS.

I use the solution for development, production, and testing.

I use the product for its availability and scalability features.

Our use case is for when there's a need for additional processing capacity. Broadly speaking, the platform has inbuilt intelligence that detects a high workload, and then automatically scales out to accommodate the increased demand for capacity. We have production systems that run 24/7.

It is used to run applications.

We use EC2 as a disaster-recovery target and also to host a web server. We've got a demo account that uses AT&T Azure managed services where customers can log into our software. 

We use this solution to scale up the number of VM's that are running during times of heavy traffic or high workload. It covers 5,000 servers over 10 different environments for us.

Amazon EC2 Auto Scaling is a function inside Amazon EC2.

We are using it to scale the capacity of our internet services. It automatically increases capacity when usage surpasses certain thresholds to prevent any issues with capacity.

We use Amazon EC2 Auto Scaling for our EC2 instances. To run our application platform, we are using EC2 instances. EC2 is nothing but one machine, e.g. it's a remote machine. We are satisfied with the service, and we are especially good at using the service. We are taking clean servers, e.g. our machines run AWS, and we manage everything ourselves.

We use Amazon EC2 Auto Scaling for production nodes to manage varying loads during peak business hours. It provides the flexibility of auto-scaling infrastructure when there is high traffic.

I use the solution in my personal time. I like to play with it and learn a bit of software.

We use the solution for two instances for the frontend and backend, then I use CI/CD pipelines to integrate both, and finally, I use Jenkins.

Amazon EC2 Auto Scaling helps maintain application availability and allows you to add or remove EC2 instances.

More than one instance can run at one time. You can start and stop instances at any time.

It can run with any application. Linux, as an example, can be installed with it.

Once the EC2 has been created, you can easily log into it.

We use Amazon EC2 Auto Scaling in our company for regulating and scaling. We also use it on architectural projects.

We use the tool to deploy NLP modules. 

We use EC2 to host applications.

EC2 and Auto Scaling are solutions to deploy computer VMs. When you use Auto Scaling, you have many advantages because the platform is elastic. When your platform requires high performance, Auto Scaling can provide this and avoid replication.

For clients, I deployed many Auto Scaling solutions for different applications, and currently I'm using Auto Scaling to deploy FortiGate. FortiGate is a next-generation firewall that provides security for AWS in general.

The client had a requirement to make sure there was a specific amount of memory utilization for each of the EC2 instances. When it reached its maximum or a threshold limit. The client wanted the Auto Scaling to scale up more easily to instances onto the system, with all the relevant security configurations, and everything available. That was his business problem. He didn't want to pay a lot at once, however, he didn't want to leave the system in a state that should not be in a position to be unable to handle jobs due to heavy usage or if there is a demand. The client wanted to make sure the demand was met and he wanted to make sure the service that he was obtaining from AWS was not idle.

Therefore, we provided the Auto Scaling EC2s. While we designed the solution, we identified what could be the minimum utilization based on the on-prem solution that they had. It was kind of a migration solution. The client had an on-prem environment and wanted to go into AWS in a cost-effective way. To ensure cost-effectiveness, we proposed Auto Scaling, so that if there was a heavy demand for memory, Auto Scaling could start scaling up based on the demand. And then, when the demand is reduced, it would automatically scale down and run on a specific minimum usage so that the cost will be at the minimum. 

We use the solution to launch the instances.

Our company uses the solution to cluster cloud services for our customers who need elastic computing. Our customers currently have thousands of service users. 

We use the solution to increase CPU and memory size. 

We use the solution to autoscale the number of servers per specific business requirements.

We use EC2 for regular usage based on on-demand pricing or cost-saving plans and Reserved Instances, depending on the customer's needs.

If customers want to use an instance for a longer time and maximize usage, we recommend savings plans and Reserved Instances instead of on-demand pricing.

We use Auto Scaling based on the customer's use case. For example, one of my customers utilizes EC2 with custom scaling configurations.

We use this solution to scale up and scale down. You can have 1,000 people connecting to your network or you can have 50,000. The solution scales up to cope with the extra demand.

Our primary use case is for infographic designing.

We are using Amazon EC2 Auto Scaling to horizontally scale.

The solution can be deployed on the cloud, and on-premise, and can be configurated hybrid.

I use it for running Tomcat applications to restore the RDS, the database for getting the data. It then generates a UI. 

I am using it only for practicing purposes. I am trying to test the auto-scale feature and see how it works when we increase any workload.

We are using this product within our cloud-based development environment.

Amazon EC2 Auto Scaling is used if your computers are heavily using resources or heavily loaded, this is going to impact your backend environment. Therefore if your computers need more CPUs or additional RAM associated, then you can use Auto Scaling to take care of it. We then do not face any such structural issues with the VMs where we host the control environment and application.