Amazon EC2 Auto Scaling Reviews

The tool is a simple solution. You can deploy a new virtual machine in minutes. You can select options like memory and core number and connect storage. It's great because it's simple and fast. You can build a virtual machine in minutes, do your experiments, and then uninstall it without paying for it when it's not in use.

Amazon EC2 Auto Scaling is simple to integrate. 

The solution is not cheap. 

I have been using the product for ten years.

Amazon solutions are also stable regarding stability, but their Service Level Agreements often guarantee around 97% or 98% uptime rather than 99.99%. For critical systems that require 99.99% reliability or higher, you may need to implement additional measures to achieve the necessary reliability. It's essential to carefully examine and analyze the SLAs to understand their reliability level.

The solution is scalable. However, to scale, you might need to manually upgrade it by adding more processor cores or memory. My company has around 7000 users. 

I didn't face any scenarios that required extensive support. Amazon EC2 Auto Scaling's support is good. 

The initial setup and installation are very straightforward. You can select from preconfigured system machines, choose the storage size, and configure it from the screen. Once you make these selections, access to the instance takes just a few minutes.

It's my solution for experiments. You don't need to buy or search for hardware for experiments. But for constant use, such as an Amazon EC2 Auto Scaling machine running 24/7, I prefer special discounts because they're not cheap.

In some business cases, it could be perfect. But for me, it's a great solution for something like a startup for the initial phase. Then, you should precisely calculate your costs and understand what happens.

As far back as I can remember, I have experience with two types of subscriptions. The first was my personal AWS base, and the second was a corporate license. I can't say much about the corporate license, but I recall they sent the bill every month for the personal subscription, though I could be mistaken.

I rate the overall product a nine out of ten. I advise monitoring your expenses carefully because it's easy to forget to stop the automation, for example, at night or over the weekend, which can lead to surprises. 

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

The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool eliminates the need for hardware. We can choose what we need and pay as we use it. It is flexible and can integrate with any product. 

The solution's pricing is expensive. You pay based on how much you use it, like paying for the time or hours you use the service. There's no need to buy hardware separately.

I have been using the product for eight years. 

I rate the tool's stability a nine out of ten. 

The solution is scalable and flexible, meaning you can adjust resources like RAM, processing power, and storage capacity to match workload changes. I rate it a nine out of ten. My company has 400 users. For deployment and maintenance, only one to five technical administrators are usually needed to manage Amazon EC2 Auto Scaling. 

The tool's support is good. We don't need much tech support, as our technical team can handle most issues.

The solution's setup is straightforward, easy to handle, and simple to use. The deployment process is also straightforward. You access the AWS portal, select EC2, and configure your requirements, such as RAM, storage, and processing power.

The solution's licensing is based on a pay-as-you-go model. You only pay for the resources you use, whether it's RAM, processing power, or storage. So, it's calculated based on the time you use those resources, typically billed in hours or minutes.

I recommend the tool's scalability, flexibility, stability, and pay-as-you-go model. It's a great choice for efficiency gains and moving away from hardware setups. I rate the overall product an eight out of ten. 

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

The product is flexible. We can get whatever we want in a minute.

Automation is very hard.

I have been using the solution for two years. I am using the latest version of the solution.

The stability is very good.

The tool’s scalability is great. Around 20 to 30 users are using the solution in our organization. It is an enterprise solution.

Previously, we used an on-premise solution.

The initial setup was okay. The documentation was great. The time taken for deployment depends on whether we want automation. If we want automation, the whole process can take a couple of weeks to set up all the automation.

We deployed the product ourselves. The deployment process is very well documented in Amazon.

The ROI is good.

The product is quite expensive. We pay for the license yearly.

I would recommend using the product and automating everything from the beginning. Overall, I rate the solution an eight or nine out of ten. We seek support from solution architects for design.

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.

The spinning up in the solution can be much faster. There are other solutions you can depend on if you cannot even wait for seconds for Amazon EC2 Auto Scaling to spin up.

The solution should be available with certain Microsoft products like an inbuilt MS Word or Office in EC2 since there are use cases where an application needs to access MS Excel to prepare or download a report.

The product should have a faster scalability option.

I have experience with Amazon EC2 Auto Scaling. I use the solution's latest version. I am a customer of the solution.

Stability-wise, I rate the solution an eight out of ten since there have been instances when we wanted to scale up and later found no instances available in that particular EC2 data center.

Scalability-wise, I rate the solution an eight out of ten.

There are more than 1,000 users of the solution in my organization.

There were a few instances when I had to contact technical support regarding the firewall in EC2 instances and when the software was not working on a particular EC2 instance. Only for certain compatibility issues or company contacts Amazon's customer support team. Since we are an enterprise-sized company and a client of Amazon, the response from the technical support team was immediate.

The initial setup of Amazon EC2 Auto Scaling is easy, but it takes a bit longer than the other solutions in the market.

The deployment of the solution can take a bit of time, but there have been cases with the solution that could be deployed in ten minutes.

People must embrace containers rather than EC2 instances, especially if they want an environment that grants them great scalability and higher availability.

I rate the overall solution an eight out of ten.

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

In a multi-tenancy architecture, when we have requests from multiple tenants, the CPU utilization of our machines goes high, and the processing time increases. However, when we use Amazon EC2 Auto Scaling, it processes faster.

Amazon EC2 Auto Scaling has a cool-down time feature called the warmup start.

Amazon EC2 Auto Scaling can provide more discounts when using the machines the solution uses.

I have been using Amazon EC2 Auto Scaling for almost two years.

I rate Amazon EC2 Auto Scaling ten out of ten for stability.

I rate Amazon EC2 Auto Scaling ten out of ten for scalability.

The solution's deployment is very easy.

Return on investment with Amazon EC2 Auto Scaling depends on your use cases. If you have a lot of load on your application, you will definitely see an ROI. Otherwise, it will be an expensive solution.

There is no specific pricing for Amazon EC2 Auto Scaling, but we have to pay for the number of machines getting scaled up.

I am using the latest version of Amazon EC2 Auto Scaling.

Before using Amazon EC2 Auto Scaling, analyze the load which the machines will receive. Amazon EC2 Auto Scaling can be very expensive if you fail to decide whether you want to scale horizontally or vertically and scale accordingly.

Overall, I rate Amazon EC2 Auto Scaling a nine out of ten.

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.

The product’s most valuable feature is the seamless resizing of web connection.

Amazon EC2 Auto Scaling’s filtering features need improvement. The support to manage the processes could be better. Whenever the product stops working, we have to change the settings and require to find the root cause of the issues. These instance logs should be managed by AWS itself.

We have been using Amazon EC2 Auto Scaling for seven years.

The product is stable.

We have 1000 Amazon EC2 Auto Scaling users. The platform’s scalability features are flexible. We have recently added a few more nodes, and it was easy to change those configurations. It saves costs and time for us.

My recent experience with technical support is pleasant. They are thorough and quick to contact and coordinate with different teams to resolve the root cause.

We use OpenStack, InfraCloud, and other cloud vendors.

The initial setup process is straightforward. AWS has a user-friendly UI; we also have information and guidance available on their platform. The initial migration process from on-premises to on-cloud takes time.

The deployment process requires having specific knowledge about the application, including its limitations, dependency analysis, and a backup plan. It is preferable to run it in a lower environment and then do actual deployment. If you have a proper plan, it is easy.

The implementation can be in-house. But depending on the team size and management’s decision, we take help from third-party vendors.

We can reduce our infrastructure cost drastically using the product. We have received a good ROI.

The product is expensive. There are no licensing fees, but we have to pay for resources.

I rate Amazon EC2 Auto Scaling a seven out of ten.

I advise others to plan carefully. The major challenge is to understand performance and load requirements. You can decide the minimum capacity to be optimized and not over-provision it. Additionally, you can run it in a lower environment before going into production. You can figure out the parameters using CloudOps metrics.

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

The solution incorporates ease of maintenance and reduction in operational overhead and costs. Patching is also easy. 

The most valuable feature is the tool's ability to integrate with load balancers. 

The launch configuration feature doesn't work properly. It needs to improve the load configuration feature along with launch templates. The tool needs to tag feature as well. 

I have been working with the solution since 2016. 

I rate Amazon EC2 Auto Scaling's stability a ten out of ten. 

I rate the tool's scalability an eight-point five out of ten. 

I rate Amazon EC2 Auto Scaling's pricing a seven out of ten. 

I rate the product an eight out of ten. 

Our primary use case is in the compute space and the generative AI space. We use it as a computing platform, Elastic Cloud, and to generate AI services.

It has helped our organization by providing a reliable infrastructure and enabling us to focus on what truly matters by not maintaining our own IT infrastructure. We have shifted to a cloud model, which has allowed us to rely on service providers like AWS and Google.

The most valuable features include the availability of various services like compute, memory, and database services in the AWS landscape. The microservices architecture allows us to build solutions using specific functionalities required.

There is a need for improvement in understanding the pricing structure, as it is complex and depends on several factors such as the location of data centers.

We started using it last year. Meanwhile, it's been a year.

The infrastructure is reliable and stable, and services from AWS, Google, and Microsoft offer similar pricing structures.

Scalability involves a deep understanding of the whole environment, which is not a quick start. Auto Scaling or service with AWS needs consideration due to the many services offered.

How customer service operates and what their culture is may require a lot of orientation and understanding.

We previously used Veritas, however, we migrated to other tools. We do not use Veritas any longer.

Setting it up takes a couple of weeks and months, as it involves more than just downloading and installing software.

The pricing structure from AWS is really complex and depends on factors like the region and specific services used. Prices can vary significantly even within the same service across different locations.

We evaluated Google Cloud Platform and Azure. We started with Azure before adding Google Cloud Platform.

For new users, understanding the multitude of services offered by AWS and integrating them effectively can be challenging. One must dedicate time to understand the whole environment.

I'd rate the solution eight out of ten.