Amazon AWS Reviews

Our primary use case for this solution is commercial cloud computing, analytics, and storage.

We have seen an improvement in our infrastructure, as the code makes it very easy to deploy quickly to AWS.

The features that we have found most valuable are IAM, KMS, and Security Groups for customizable security. Cloud formation for well-defined blueprints is also useful.

An easier way to determine estimated costs quickly would be helpful.

We do have quite a lot of AWS deployments and clients in certain countries.

We use it for spinning up environments, using infrastructure as code. We use it for disaster recovery and high availability for creating BMs for testing. Mainly on the service side, we use it for setting up environments and spinning up environments.

The monitoring is the most valuable aspect of the product.

Technical support is available if you need it.

The solution is stable.

The scalability is okay. It's similar to what you would get with Azure. 

The interface needs a bit of work. It's not intuitive.

The solution's initial setup can be complex. 

I've been using AWS for about 15 years. It's been a very long time. 

The stability is fine. I haven't had issues with crashing or bugs or glitches. 

The solution's scalability is pretty good. These solutions are pretty well known for not being able to scale well. They behave very differently at scale. I wouldn't say it's any better or worse than Azure is; it's probably on par.

Internally, we have about 500 people using the solution right now. 

I have never used technical support myself, although it's my understanding that our team does from time to time. We do all the first line ourselves. Anything that escalates to the third line, we have contracts in place to help us get assistance.

I found the initial setup to be pretty complex. It's just getting more and more complex, with the infrastructure as CodePipelines and that sort of thing. On a scale of one to five, one being the worst and five being the best in terms of complexity, I'd say it's a three.

I have no idea what the operational side does in terms of maintenance. It's not an aspect that falls under my responsibilities. 

I don't handle the licensing side of things and therefore cannot comment on the price of the solution.

We also looked at Azure DevOps.

I'm a customer and an end-user.

We use various deployments, including on-premises, public, private, and hybrid clouds. The deployment is dependent on the customer, the solution, and the service level agreements that we have. We use all of those models. We make our choice based on the requirement.

I'd advise potential new users to actually do a shootout between the different products based on your use case and choose the right one.

I would rate the solution seven out of ten. I'd rate it higher, however, the UI needs improvement first.

We are mostly using it for DevOps. 

We are using its latest version. They do auto-updates and update it at their own will.

It is easy to spin up resources.

There is no control of downtime.

I have probably been using this solution for eight months.

Over the past couple of days, we've had some outages. It seems they had some network issues, but overall, it has been pretty dependable and stable.

It is easy to scale. We probably have about 50 users who use this solution.

They're decent. Sometimes, they take a while to get back to you. It depends on the severity.

We were using another solution. We switched to it because of its ease of use, ease of deployment, and cost.

Its setup is of medium complexity. It depends on what you're setting up. Some of the things are easy, and some of the things are difficult. For example, setting up infrastructure as code with Terraform is difficult.

It is comparable if you add in the price structure to an on-prem solution.

On the DevOps side, make sure you know what you're doing for security before you implement it. Make sure it is secure.

I would rate it an eight out of 10.

My primary use case was as a place to migrate legacy systems.

AWS has reduced our costs and maintenance requirements. It also allows us to control our load in peak times and automatically increases or decreases your capacity as required. 

The features I have found most valuable are S3 buckets and Lambda services.

An area for improvement would be API creation - a lot of tools are provided, but there can be issues with integrating them. There is also a cost underlay, in that at the end of the day, some costs are not in the picture, so AWS needs to improve its costing toolset.

I have been using this solution for two years.

The stability of AWS has improved over time and can now be well managed.

This solution is scalable to any limit.

I previously used Rackspace Openstack but switched because it required more manpower than AWS, and AWS is more cost-effective and tolerant.

The setup was somewhat complex. It was done in three phases over a year.

This solution reduced our overhead cost by 30-40%.

Technical support is expensive to use.

I evaluated Oracle Cloud, but it was more complex to use and provided a smaller toolset than AWS.

This solution is one of the top tools available for legacy migration. I would rate this solution as eight out of ten.

We are essentially using a couple of virtual machines. We also use Amazon's transcoding services that convert video formats. We use it for internal purposes, especially for specific applications that it has. 

One of the most valuable features is that Amazon AWS has a lot of data centers and regions where we can position our virtual machines for leverage. Amazon AWS is also easy to use. You can quickly spin up something, use Explorer, building proofs of concept, things like that. Once the proof of concept is built once and we know how things are going to look from a production perspective, we try to move everything to the data centers. These features and the ease of use are the main reasons why we use AWS. 

There are no additional features I would like to see. All the features we require are already provided and we aren't looking for anything else beyond that. 

In general, the only feedback I have is about the startup programs they used to have. Startups would get a particular amount of credits so that people who are just starting their own business could export. This is no longer the case, but it was very good because it helped a lot of people start their businesses. Amazon should consider this again. 

I have been using this solution for three years. 

This solution is scalable. 

I have never needed to contact technical support. 

I previously used Azure. I was working for a company that used Azure CSP, but I prefer AWS. 

The initial setup is straightforward. I'm technically proficient and did it myself. 

I implemented through an in-house team. We're a small, boutique-type company, but we are proficient enough. 

In terms of price, there are less expensive options. 

We are using open source technology, so there is no licensing. 

I looked at Google Cloud also, but I still would prefer AWS. It has automation and scripts that we can leverage. People are familiar with AWS, so it's our top choice for public cloud. 

I absolutely recommend Amazon AWS to anyone who wants to start using it. 

I would rate Amazon AWS a 10 out of 10. That's the main reason why we're using it. 

We have migrated all of our on-premise production environments to the Amazon AWS cloud and we use many AWS services.

The solution could improve by being more secure.

I have been using Amazon AWS for approximately six months.

Amazon AWS has proven itself as the market leader in the cloud solution environment and is highly stable.

The solution is scalable.

All of our production environment is hosted on Amazon AWS and we have approximately 12,000 users that use it.

We have enterprise-level support that is very good from the AWS team.

We use other solutions, such as Microsoft Azure for UID and Google Cloud services for DCP.

The initial setup is not difficult and it did not take us more than one day.

We have a managed service provider that helped us with the implementation of the solution.

We have a 60 person team that manages our data operations and infrastructure. The team consists of many levels, such as system engineers, architects, and managers.

We have a monthly subscription for Amazon AWS.

I would recommend this solution to others.

I rate Amazon AWS an eight out of ten.

We use mainly use the product for the infrastructure, the service components, and the storage. 

The maturity that the solution offers is its most valuable aspect. It was one of the first solutions to market and has a long track record. It's very mature in terms of product delivery. 

It is very stable.

The scalability is great.

In terms of features, it's very feature-rich and it's got a good ecosystem from third-party vendors as well in terms of those that partner up with them for offering their services on Amazon. 

The security is good. Due to the fact that it's on the cloud, you can build your own security to meet your needs. It's enriched with great security features and capabilities. You just need to know how to run them. 

Technical support is quite helpful. 

We would appreciate it if the product was cheaper. 

We've been using the solution since 2014. 

The solution is very stable. The performance is good. There are no bugs or glitches. It doesn't crash or freeze. 

Due to the fact that it is a cloud, users really do not have an issue with scalability. It can expand to meet anyone's needs. 

We have at least 200 users at this time. 

Technical support has been very good overall. they are helpful and responsive. We are satisfied with the level of support.

Before Amazon, we did not use other products, however, we now also use Azure and Google. 

As a cloud service, there really isn't an installation process that's required. 

We use their subscription model.

The solution could always be cheaper. 

We have a monthly recurring cost based on usage.

As a cloud service, we are always on the latest version of the product.

I'd rate the solution at a nine out of ten based on the feedback I've gotten from my team.

I'd recommend this service for particular use cases. However, it is important that users understand how it works. For example, it's not like you buy a server and running in a data center.

I am using the solution to create my own virtual servers in the cloud. We use one of the servers to deploy the database for NoSQL database on MongoDB. MongoDB allows all types of databases. 

Here is a more detailed explanation. I needed to deploy a backup API that was not in the project I needed it for. To back up the API is essentially treating data from the MongoDB database. Initially, we implemented it locally and tested all the endpoints, and then we deployed it to the AWS services. We needed this to be online and to communicate with the front end, which is an angular app that says you receive the data from another database which is another NoSQL.

This solution offers a very detailed dashboard that has some metrics, such as performance and budget. You can find all the documentation on how to do almost anything. It supports multiple services where you can use Linux. Depending on your use case, you can also manage the allocations, for example, your hard drive and memory.

Additionally, the solution is user-friendly, has intuitive dashboards, and plenty of graphs and charts available.

We had some problems with bandwidth because of high usage. There were so many queries going to the API and since we were on a budget, we did not provide the needed requirements for our software. At those times the performance was really slow, I needed to log in using a remote session to check whether there is a problem and if there was I had to restart the server. If you have the required budget and you know how to customize it, I think it would be working fine.

In a future release, I would like to see more support for AI because it is the future. 

I have been using the solution for the past year.

The solution is really reliable even when we were using it as a demo to showcase to clients.

The cloud-based environment was secure for everything I used it for. It does not allow you to just log in for the remote sessions. You need to configure it to have a computer log into your accounts properly for user management.

The solution is scalable, whenever you want to scale up the solution and improve it, they really offer you that opportunity. For example, increase the hardware and resources.

The customer support is exceptional. I was having some problems with deploying the server and had to contact support. I began chatting with the chatbot and when it did not help me I was transferred to one of their support attendants. Once the ticket is submitted, they send you another email, in three days to check whether the problem was resolved or not. They are really helpful.

Additionally, at one of the AI summits, Amazon had a room that was filled with many technical professionals. They all had different technical backgrounds willing to give support to those who asked questions. It was really helpful.

The installation for me was straightforward since I have some technical background. However, I did still need to read some documentation. The installation documentation is good and informative. Those who are new to the solution can search the internet for information to guide them and there are courses online to follow too.

When I first started using the solution I used a free trial, and then we upgraded to a pay-as-you-go subscription. We have an allocated budget of $50. I am happy with the pricing because the free trial project helped me progress. In our country, there are limitations for what payment methods we can use, we do not support PayPal, and credit card transactions are delayed. Hopefully, this gets better in the future. However, in other countries, this is not a widespread problem.

The type of deployment of the solution depends on the need of the organization. There are some solutions that we deploy for the clients that we need in a more stable environment. In this case, we use the cloud. For testing purposes for internal projects, we use our own servers within the company. I think by the IP numbers, we can request to create a certain server and they created this for us. There are some clients that require a cloud-based solution, we have this capability but it is still in testing and it is not what we use our servers for.

I would recommend this solution for companies like small companies just starting out. It would be really helpful for them.

I rate Amazon AWS a nine out of ten.