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.

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.

We use AWS Auto Scaling to define the number of instances depending on specific requirements.

We need ten instances during peak hours, but we need only two instances during off hours. We can auto-scale or downscale the number of instances using the product. It helps us to reduce the cost.

The product's most valuable feature is setting a minimum or maximum number of instances.

AWS Auto Scaling's documentation could be better. At present, we have to recall the last issues we encountered and the steps used to resolve them.

We have been using AWS Auto Scaling for one and a half years.

I rate AWS Auto Scaling a seven out of ten. It could be better.

I rate AWS Auto Scaling a nine out of ten.

The technical support services are good. 

Positive

We can easily implement the product for simple configuration. However, we need an expert to help us with complex configuration.

The product generates a good return on investment for us.

I rate AWS Auto Scaling an eight out of ten. Its user interface works fine. We have three options for load balancers: classic load balancer, application load balancer, and termination network load balancer. I advise others not to use the classic load balancer.

The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system.

We deal with applications – specifically, the ones deployed in the production environment of the cloud. So, the aim is to ensure users don't encounter downtime. Autoscaling comes to the rescue when there's an issue with a particular EC2 instance that's either malfunctioning or completely unavailable. In such cases, when existing instances have problems, we enable Autoscaling to address the situation.

The most valuable feature of Autoscaling is the scheduling.

Moreover, the interface has been improved in the new versions. 

It has latency issues. It depends on the distribution used, whether it's Amazon Linux, Windows Linux, etc. Occasionally, there are latency issues, which might lead to slower performance. However, this is more related to network concerns rather than the product itself. So, the network's impact on performance would be the primary factor.

At times, when everything is in software, especially regarding file operations, there can be notification delays. Occasionally, it takes longer than expected. This is why I rated this solution as a nine out of ten – because of these occasional issues. 

I have been using this solution for four years. We use the latest version. 

The stability of the solution is fine. The only issue might arise in situations where there's an incident, but it's more about addressing external issues.

Everything works smoothly. The way I'm able to use it suits my needs.

I would rate the stability a nine out of ten.

I would rate the scalability a nine out of ten. 

The support is perfect. 

Positive

It's straightforward for deployment. Setting up Autoscaling in the cloud is easier compared to other environments.

So, the initial setup is not complex; it's easy to deploy.

We have seen an ROI. 

The pricing is reasonable. The pricing is not an issue.

If you're dealing with multiple applications that require a high level of protection and you aim to avoid any disruptions, then you should definitely consider Autoscaling.

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

We use the solution to scale instances vertically or horizontally based on what is going on in the environment. It involves increasing the size of CPU utilization. We can decide at what time our instance must be up and running. We can set in our environment that when a session reaches 70 or 80, the tool must add another instance. When it goes down to less than 30, it can reduce the instance, too. It helps us to reduce costs in an environment.

When a lot of traffic comes into our organization, the product scales our instances based on our environment’s requirements. Every environment has its own requirements. The product scales the instance so that the instance does not overwork, collapse, and interrupt the customer’s experience.

The speed of the solution must be improved. It should also improve communication.

I have been using the solution for seven years.

I rate the product’s stability a ten out of ten.

I rate the product’s scalability a ten out of ten.

The initial setup was easy. The solution is deployed on the cloud.

The solution was a good investment.

The cost differs for every organization.

As the name suggests, the tool helps scale our instances in the environment. It helps make our application stable and keeps it running all the time. Overall, I rate the solution a ten out of ten.

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.

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.

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.