Amazon EC2 Auto Scaling Reviews

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

The operating system, Amazon Linux, is valuable. We like it very much. The availability of the instance is valuable. The documentation is good. We can use Systems Manager to manage nodes and Patch Manager to manage patches. The solution provides a variety of features.

The tool must provide proper guidelines to troubleshoot connectivity issues. It must also improve AMI creation.

I have been using the solution for the last four years.

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

I rate the product’s scalability a ten out of ten. It is made for scalability. We have 20 users. We are planning to increase usage.

The support is good.

The tool is very easy to deploy. I like the new interface. The time taken for deployment depends on our requirements. It is a cloud-based tool. Sometimes, we use the CloudFormation template. Sometimes, we do it manually. Generally, it takes around five minutes. We create CloudFormation stacks to deploy the tool depending on the type of instance we require. We need more than ten technical team members to deploy and maintain the solution.

We deployed the solution ourselves using the documentation.

The availability is valuable. It is very useful to deploy the instances automatically.

The solution is not expensive.

The product is very helpful. It has various features that we can utilize. Overall, I rate the product a ten out of ten.

We use the tool to deploy NLP modules. 

The tool helps me to process large data sets while scaling up. 

The product's technical support needs to be better. 

I have been using the product for five years. 

I would rate the solution's stability an eight out of ten. 

I would rate the tool's scalability an eight out of ten. 

The product is easy to deploy. 

I have seen ROI with the product's use. 

The tool's pricing is good and not expensive. 

I would rate the product an eight out of ten. We plan to increase the tool's usage. You need to have good documentation to start using the product. 

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's the auto-scaling that is the main valuable feature. 

I'd like to see more integration with products like Ansible and other platforms. 

The solution is very stable. 

The main feature of this product is scaling. The product itself does not need to be scalable. 

The technical support is good, they respond quickly. 

The initial setup is straightforward and AWS provides good documentation which can be easily leveraged by anyone trying to use it. Deployment takes a maximum of an hour. It's just a matter of defining the parameters that need to be chosen in terms of different things like network capacity and processing memory. It then requires specifying the kind of load balancer needed along with some basic inputs. It's easy.

For an average size customer, we manage the entire range of applications and features on AWS. If it fits your use case, it's very good. 

This is a very efficient solution and I rate it nine out of 10. 

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

The solution includes many features for configuring networks and VPCs. 

The pricing could be reduced. 

I have been using the solution for five years. 

The solution is the most stable service engine offered by AWS. 

The solution is scalable because it is cloud-based. 

Technical support is perfect so I rate them a ten out of ten. 

Positive

The solution is cloud-based so there is no setup. It is important, however, to configure the Auto Scaling feature which takes about ten minutes. 

We deploy the solution in-house and it is easy. Deployments and ongoing management are handled by two technicians. 

The solution pricing varies by service region is mid-range. Various conditions determine pricing such as the IP selected. 

I rate pricing a six out of ten. 

The solution is an alternative to Lambda. Some customers prefer Lambda because it is very efficient and can complete processes up to four times faster.

Every AWS user should utilize the solution if they are not using Lambda.

I recommend the solution and rate it a ten out of ten. 

We use the solution to launch the instances.

The solution's most valuable feature is auto scaling group.

The solution's stability and scalability need improvement.

We have been using the solution for a year.

I rate the solution's stability a nine. Although, it could be more stable for Asia-specific regions.

I rate the solution's scalability an eight. It is expensive to scale it for multiple instances.

The solution's initial setup is straightforward. We use template plans and modify them as per the specific requirement. The deployment takes two to nine months to complete.

The solution's price is affordable for enterprise customers.

I rate the solution as nine out of ten. It is easy to maintain multiple instances using it.

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.

We appreciate that this solution allows us to run all of our severs through it, meaning that our workloads are mainly on the EC2 instance only.

We would like to see improvement in the UI for this solution, so that it is more user-friendly.

We have been using this solution for around six years.

We have found this to be a stable solution during our time using it.

The scalability of this solution is good; we increase our usage gradually and consistently, without any issues.

The setup of this solution is very straightforward. It took us two months to deploy it fully, and migrate our workloads to the cloud from being on premises.

The licences for this solution are based on the number of instances. This determines the EC2 type that is used and this is then priced accordingly.

We would rate this solution a 10 out of 10.

We use the solution to increase CPU and memory size. 

I have been using the product for six to seven years. 

The tool is stable, old and mature. 

I would rate the solution's stability a nine out of ten. We have 200 users for the product. 

The product's setup is complex for an intermediate user. However, it's easy for the experience. The tool's deployment is a step-by-step process. 

I would rate the product a ten out of ten. 

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.

It depends on the specific case or business scenario. Sometimes, Auto Scaling is more beneficial, and sometimes, Reserved Instances are preferred, especially for longer-term usage. It varies based on the use case.

It should be more stable, more secure, and have better pricing.

I'm on the leadership side, so I don't directly work with EC2 instances. However, we sell service to the customers.

It is a stable solution.

It is a scalable solution. There are numerous customers, or more than a hundred customers, using this solution.

Customer service depends on the support model and the type of support you have chosen.

The initial setup was easy and took only a couple of minutes. It's just a few clicks.

The licensing cost is expensive.

Overall, I would rate the solution an eight out of ten.