Amazon EC2 Auto Scaling Reviews

Amazon EC2 Auto Scaling and EC2 are both part of the same family. Amazon EC2 is for deploying a server only, while Amazon EC2 Auto Scaling scales itself according to policy. For example, if we have a policy to use five Amazon EC2 servers and two servers cross the CPU threshold level, it will automatically deploy the third server. This allows users or customers to access those particular servers in time, making it effective for traffic management.

The application can handle customers when they need it, without any failure. If a failure occurs, the auto-scaling group will create another server in another zone, which makes it particularly useful.

The most valuable feature of Amazon EC2 Auto Scaling is its scalability. Additionally, the pricing structure is beneficial as we only need to pay for the particular instances, not for the service itself.

The key capabilities include competitive pricing, scalability, ease of access, and ease of use. The options provided by the Amazon EC2 Auto Scaling group are among the best, similar to what EC2 offers.

Amazon EC2 Auto Scaling has the capability to multiply itself, which enables it to handle peak loads effectively.

I have been working with customers who use Amazon EC2 Auto Scaling for handling their workload on servers and scaling up the infrastructure as required. 

As an instructor and cloud consultant, I help clients maintain and scale their infrastructure using this service to achieve zero downtime.

Amazon EC2 Auto Scaling ensures minimal downtime and maintains consistent performance under varying workloads. It provides geographic redundancy where traffic can automatically shift between zones if needed.

First, let's clarify what an EC2 instance is. It's essentially a virtual server provisioned by Amazon. You can configure it to host various applications. 

For example, if you want to auto-deploy applications, you can configure NGINX or Apache. For Java applications, you'd install a web server like Tomcat and the JVM to run your code.

The most valuable feature is how it scales instances up and down. You specify the desired server sizes, and AWS provisions the CPU and memory accordingly. There's a cost associated with that.

Applications deployed on EC2 instances can easily integrate with other AWS services. For example, you can connect your EC2 Auto Scaling group to a tool like CloudWatch for health checks and anomaly detection.

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 most valuable features of the solution stem from the fact that EC2 instances spin up fast but not fast enough, allowing users to choose the version that they want almost instantaneously. I think you can provision EC2 instances while handling everything via writing a piece of code that is very useful.

Creating a target group is essential when setting up Amazon EC2 Auto Scaling. You can specify the target capacity, indicating the desired number of instances within the same instance family. Additionally, you define CPU thresholds to trigger scaling actions, specifying when to increase or decrease instances. Moreover, you configure the load balancer to communicate with the front end.

Amazon EC2 Auto Scaling operates at a different level, working in parallel to efficiently manage workload distribution. Primarily, it focuses on orchestration rather than directly managing EC2 instances for deployment and configuration. It uses automated processes to deploy and manage ports, leveraging Application Load Balancers to effectively handle data communication and management.

As part of my role managing the presales team for TIBCO in the DACH region, we conduct proof of concepts (POCs) for customers who want to try our software, including messaging, integration, and MDM tooling. To accomplish this, we spin up virtual machines on EC2 to set up the software and demonstrate its use cases.

The easy possibility to spin up runtimes according to the needs of the POC, getting a runtime up and running in an easy way, which is accessible over the internet, is valuable for our process. 

As mentioned, AWS provides virtual machines that we can leverage to run environments for demonstrations with our customers. Spinning up a virtual machine is a matter of a few minutes, allowing us to efficiently set up testing environments.