AWS Auto Scaling Reviews

We use the product to distribute network traffic and ensure efficient scalability.

The product could add more features for managing instances. Additionally, they could provide serverless management options for users or practitioners, especially those without extensive experience.

We have been using AWS Auto Scaling for three years.

The platform is stable. I rate the stability a nine out of ten.

I rate the platform's scalability a nine out of ten.

The initial setup was simple, but certain aspects require attention, such as configuring the launch template. Understanding and optimizing may take additional time if you're still familiar with this part. However, a good understanding makes it less complex overall.

Mostly, we deploy AWS Auto Scaling in the public cloud, leveraging our VPCs for hosting resources. We prioritize using VPCs for enhanced security within our infrastructure. The deployment takes a month to complete.

We configured the product with the help of our in-house team without any assistance from third-party vendors.

Auto Scaling has been particularly beneficial in scenarios with a sudden increase in traffic during sales events or testing phases. In these instances, the ability to automatically scale up instances ensures that our server resources can handle heavy traffic effectively, minimizing any impact on end customers.

The feature of scaling down instances has significantly reduced our operational costs. It helps minimize unnecessary expenses and ensures efficient resource utilization within AWS.

The health check integration feature ensures that the instances are healthy and capable of absorbing traffic, thus serving their purpose effectively.

We recently suggested it to a potential customer seeking ways to optimize their overhead costs.

I rate the product a nine out of ten.

We use AWS Auto Scaling for scaling purposes, particularly to manage costs and meet client requirements for scaling up resources at specific times. It helps us optimize expenses and handle increased traffic by automatically scaling instances when needed.

I appreciate several features of AWS Auto Scaling. The various scaling options available, such as step scaling, are particularly useful. Additionally, the ability to utilize templates for updating scaling policies makes the process efficient with minimal downtime.

While I haven't found any significant need for improvement in AWS Auto Scaling, the setup can be a bit complex in some situations.

I have been using AWS Auto Scaling for three years.

I would rate the stability of the solution as a nine out of ten.

I would rate the scalability of the solution as a ten out of ten.

I would rate the technical support as an eight out of ten.

The configuration process for AWS Auto Scaling is generally straightforward, but complexity can arise with numerous instances and policies. However, it remains manageable overall.

We use AWS Auto Scaling to handle peak traffic times in our application. Depending on the situation, we employ either step scaling or target scaling. Step scaling is used when traffic increases gradually, while target scaling is utilized during specific time intervals when traffic spikes suddenly. This helps optimize costs by automatically adjusting resources based on demand fluctuations.

Auto Scaling has been particularly beneficial for our cloud resources, especially within AWS. We have found it most useful for managing our RDS instances, particularly during backup scenarios. Auto Scaling helps us handle spikes in demand and ensures we have sufficient resources available when needed.

The feature of AWS Auto Scaling that has significantly reduced our operational costs is its ability to scale up and down based on traffic requirements. By automatically adjusting resources like CPU and memory utilization, it optimizes costs efficiently. Integration with other AWS services, such as CloudWatch for monitoring and SMS for alerts, further enhances its utility, helping us manage resources effectively.

The predictive scaling feature of AWS has improved our application's performance by accurately anticipating increases in traffic and adjusting resources accordingly. This is particularly beneficial during peak times, such as during events or holidays. By monitoring trends and predictions, AWS helps us set up effective scaling policies to ensure optimal performance and resource utilization.

The health check integration feature in AWS Auto Scaling has significantly improved our application's availability. If an instance becomes unhealthy or goes down, Auto Scaling automatically replaces it with a new one, minimizing downtime to almost zero.

I would recommend AWS Auto Scaling to others. My advice would be to carefully assess your application's requirements and determine the appropriate scaling policies, whether it is predictive scaling, target scaling, or step scaling. Configure Auto Scaling accordingly and utilize AWS tools for monitoring and health checks to ensure optimal performance.

Overall, I would rate AWS Auto Scaling as a ten out of ten.

We use AWS Auto Scaling to manage load for instances, including factors such as increased traffic. It helps us monitor and set up alerts and scaling policies to manage the memory usage for infrastructure.

The intelligence and automation built into AWS Auto Scaling are valuable features. It efficiently handles traffic, ensuring we are not running expenses and the infrastructure is strong enough to handle the load.

The product’s pricing needs improvement.

It is a scalable product.

I contacted the technical support team to assist me with upstreaming, WAF, and directory authentication issues.

The installation is complicated for someone who has yet to gain prior experience working with it.

The product is expensive.

I rate AWS Auto Scaling a six out of ten. It has good speed, documentation, pricing, and security features. However, there are better and more affordable products for handling traffic and scalability.

I advise others to know the specific scaling, computing, and traffic requirements. They need to check the exact use cases to set up scaling policies.

We use the solution to optimize and balance the availability and cost of AWS. It has scaling policies that can be set according to our preferences. We evaluate how much CPU a project requires and whether the resources are being underutilized. We can reduce the project timelines and balance the workloads.

AWS Auto Scaling is a good platform. I like the graphs provided by the tool. Predictive scaling, smart scaling policies, and Auto Scaling groups are valuable features. Our EC2 instance can be automatically scaled to several instances set by the user. It can be used on Amazon ECS, Amazon DynamoDB, and other AWS services.

The tool must include AI features. The configuration process is not straightforward.

We haven't faced any bugs or breakdowns in AWS. I rate the stability a ten out of ten. Everything is available on time.

We did not face any issues with scalability. Everything is updated within seconds.

The support is very good.

The initial setup is easy. We must follow the documentation provided by Amazon. If we follow it step by step, the setup will be very easy. The documentation provides a deep knowledge of AWS.

I will recommend the product to others. It helps understand the availability and how much CPU space a project will occupy. Overall, I rate the solution a ten out of ten.

If we don't use Auto Scaling, then AWS will be much more expensive. It's part of the optimization.

Everything is fine. There is nothing that I would change about the product.

The solution must improve automation.

I have been using the solution for five to six years.

The stability is good. I rate the stability a ten out of ten.

The tool is scalable. We have 300 users in our organization. We might increase the usage in the future.

The deployment is very straightforward. The deployment can be done in 15 minutes if we know what we're doing. To deploy the tool, we decide on the minimum and maximum we need. Then, we decide the incremental steps and how fast we want to increment or decrease. We have all the parameters to do it. The solution is cloud-based.

In most cases, we can do the deployment ourselves. We do not need a technical team to maintain the product.

The solution helps optimize the cost of the AWS environment. If we don’t use it, we will have to pay more.

It is a good solution. I recommend people to use the product. Overall, I rate the product an eight out of ten.

The product’s most valuable feature is scalability.

The product’s security features need improvement. They should incorporate a few optimization options.

We have been using AWS Auto Scaling for three years.

It is a stable platform.

We have medium and large enterprises as our customers for AWS Auto Scaling.

The technical support could be faster.

Positive

The product’s maintenance is manageable.

The product has moderate pricing. It is expensive for some instances and reasonable for others. We purchase its monthly license. There are additional costs for support and extra features.

I rate AWS Auto Scaling an eight out of ten.

Our internal business applications are hosted in AWS Auto Scaling.

Flexibility in configuring the workload is missing in AWS Auto Scaling. The solution’s pricing could be improved.

I have been using AWS Auto Scaling for one year.

The solution's stability is good. We have had cases of failure when the server crashed, but we did not have any problems because we had a backup.

AWS Auto Scaling is a very scalable solution, and we can scale up very quickly. Around 100 users are using the solution regularly in our organization.

The solution’s initial setup is straightforward.

We implemented the solution through an in-house team. Following some standard steps, the solution can be deployed in one day.

AWS Auto Scaling is an expensive solution. We pay a monthly licensing fee for the solution.

I would recommend AWS Auto Scaling to other users because it is easy to use. Having your own infrastructure is better and cheaper. We decided to use the solution since we didn't want the headache of having our own infrastructure.

Overall, I rate the solution a nine out of ten.

We wanted a determined retail solution in Amazon. Over the course of using it, we have fifteen networks, and we're still using Kubernetes with our Amazon service. We have many specs for another environment. We can configure it easily in other environments using Amazon with Kubernetes scaling. 

It's very valuable for our company. 

We like that we can still work with Kubernetes. 

The setup is easy. 

It can scale.

I would like to improve the price of the licensing. It could be cheaper. 

I've used the solution for two years. 

The stability is very good. I'd rate it ten out of ten. It is reliable. There are no bugs or glitches. It doesn't crash or freeze. 

The scalability is very good in general. We can scale it with ease. It's easy to use with Kubernetes, and we can expand it out as needed. 

We likely have around 70,000 users. We do have plans to increase usage in the future. 

We have used technical support. They are quite helpful and responsive. 

Positive

It's easy to set up the solution. 

When we set up the solution, we set up it up to use CI/CD for deployment. It's very fast to deploy. 

We needed four technical people to handle the deployment process.  We had one manager and three developers. 

The solution can be a bit expensive. 

I'm not sure which version of the solution I'm using at this time. 

I'd recommend the solution to other users. 

I'd rate the solution ten out of ten.