We are mostly using it for DevOps.
We are using its latest version. They do auto-updates and update it at their own will.
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.
AWS is deployed into a public cloud. We have five lines and everything is autotomized. We are using several AWS solutions, including Containers, Pierre, Stargate, and Lambda. We have several projects in production, but I can't disclose more details because it's confidential.
AWS is easier to implement than other solutions, and it's more reliable.
It would be helpful for us if we could easily integrate Oracle RDS with AWS. That would work well with the solutions we have in place.
AWS is stable.
We can quickly add resources with AWS when necessary. Our company currently has 200 users working with AWS.
Amazon support could be better.
Deploying AWS is easy. The amount of time it takes depends on the application. I couldn't give a precise estimate of the number of minutes. We have four engineers to manage and maintain the solution.
We pay about $20,000 per month, and the license is all-inclusive.
We are compared AWS with Azure and IBM Cloud, but in the end, we decided to work with AWS.
I rate Amazon AWS 10 out of 10. For me, it's perfect. AWS is effortless to configure and has high availability.
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.
We are customers of Amazon AWS.
This solution is very easy to use and it has a professional interface. It's easy to access and is secure, two important features.
The cost of the solution could be improved, it's quite expensive. I find the networking to be overly complex.
I've been using this solution for four years.
Amazon AWS is a stable product.
The solution is scalable.
The initial setup was complex because of the networking setup we needed to create. This could have been a problem with the networking site.
We currently use Azure as well. AWS offers a very good platform mask and is easy to use. Azure is good for creating virtual machines and creating VLANs is very easy with the Azure site.
I rate this solution an eight out of 10.
We have a financial services application that's a very broad purpose API set. There are rest APIs for executing financial transactions and maintaining financial data. We also have a series of applications built on top of that.
Every aspect of the product is excellent. We have no complaints.
The reporting aspects of the solution are excellent.
The documentation that is on offer is very good.
The initial setup isn't too complex. A company shouldn't have any problems implementing the solution.
The stability is very, very reliable.
The payment structure is very good.
The scalability is excellent. There aren't really any limitations
The security right now needs improvement. It's not bad, per se. It's just that there's always room for improvement in security.
I'd love to see guarding duties enhanced.
The pricing could be a bit better. It's something that can always be improved upon.
I've been using the solution for years. It's been a while.
The stability is tremendous. There are no bugs or glitches. It doesn't crash or freeze. It's extremely reliable. The performance is excellent.
The scaling is phenomenal. We use a lot of auto-scaling. It's really fantastic. If a company needs to expand, it can do so easily.
In our organization, we have 15 users of the product.
It is very seldom that we have had to contact technical support. That said, when we have, it's been very responsive. We are quite satisfied with the level of service provided. It's been very good overall.
The initial setup is pretty straightforward. It's not too complex. A company that would like to implement it themselves shouldn't have any problems doing so.
The solution is set up as a pay-as-you-go. It's very convenient.
The pricing could always be better, but it's pretty darn good. We're looking into some options for some pricing improvements through some Amazon partners.
There are not any additional costs to the standard licensing fees.
We did look at other clouds, however, ultimately, we chose AWS. We've been extremely happy with it.
We are just a customer and end-user.
I've been an enormous fan of AWS. It does exactly what I need it to do. It would be hard to convince me to use anything else.
I would recommend other potential users to absolutely do it. It cannot be beaten. I'll never run a data center again.
I'd rate the solution nine out of ten. We're very happy with the product overall.
There are different use cases. I have worked on backup and recovery, migrations, created new user accounts from scratch, security and compliance, PCI DSS compliance, and CIS benchmark compliance.
We are dependent on AWS 100%, and it has definitely improved our organization.
It isn't easy to choose a feature as it all depends. For example, there might be a feature for a specific use case. Amazon has many use cases and many deployment types. But overall, Amazon AWS is user-friendly and intuitive. It's also quite secure. The interface is okay and integrates well with other products.
The pricing structure can be improved and made more straightforward. There are so many options, and you have to make several choices before confirming the final cost.
I have used Amazon AWS for about four years.
AWS is the most scalable and reliable cloud computing solution out there.
Tech support is amazing.
The initial setup for Amazon AWS is straightforward.
Amazon AWS is really cost-effective. But the number of choices that you have to make can make the pricing very difficult. You have so many options, so it can be quite difficult to get into pricing.
I would advise potential AWS customers to get the right training for the right solution. The training is, for the most part, pretty easy. It's easier than having a private data center.
On a scale from one to ten, I would give Amazon AWS a ten.
Amount of services, fully-managed services, and the power of Infrastructure as code (deployment and automation). AWS has many atomic services (Lambda, SNS, SQS. and so on…).
Migration of On Premise Data Center to AWS to allow cost optimization, and full operational automation to focus on experimentation and innovation.
Cross account possibilities for a big IT organization (user management, resources management, etc.).
It would be nice to be able to test Direct Connect without having to pay a line. Also, the possibility to use VPC Peering with one point VPN Gateway (for the moment, impossible).
More than one year.
Not yet.
Not when we know scalability optimization and processes.
I have not call AWS support yet, but it seems to be very fast according to the various returns I had.
Switched to be more global (AWS Region) and more to the way of a serverless paradigm.
Very simple, an e-mail address, a credit card, and the account is open.
The Free Tiers program is great for testing solutions.
Their terms of licencing and reserved instances are very efficient (like Spot Instances for identified workloads).
Not really, I fell in love with AWS right away: their services, quality and quantity of documentation. With the various testimonies that I received, I had no doubt.
The Cloud Adoption Framework and the Well-Architected on AWS documents are a must read.
Accelerates innovation through fast experimentation cycles in an agile, flexible, and scalable platform.
Enables fast prototyping, simulation, and rapid deployment of infrastructure configurations. Has low risk exploration of new architectural paradigms and technologies (FaaS, Containers, IoT, and Machine Learning) and is easy to integrate with current solutions.
Considering the rate of innovation of AWS and the vast range of services offered (over 15+ categories, 50+ services in 2017) the learning path of customers on the platform is something that can always be improved. Usability through simplification of the interface for the use cases chosen by the customer can be a possible improvement.
The current interface offers several options to select services, solutions, or learning paths. However, the ability to simplify the interface to focus on customer use cases could have an impact on productivity and ease of use.
This is a challenge that I’ve seen all cloud vendor share: Usability and different user experience on their platform is difficult when the span of services is so vast. However, some design thinking “persona” kind of approach could help offer alternative perspectives.
I’ve never experiences issues with stability related to the AWS infrastructure. The services are very resilient and there are constant reporting and monitoring tools available, a open status dashboard, and a personal health dashboard to receive news on any issues being investigated or sorted out. Even if there have been outages reported in AWS history https://en.wikipedia.org/wiki/... their technical response capabilities have proven outstanding.
I’ve never experience issues with scalability. AWS services offer very flexible set of tools to architect solutions that give the best performance and economic advantages. Combined solutions using elastic computing capabilities, containers, APIs, and even more innovative server-less capabilities (FaaS) can be leveraged to tackle the most challenging use cases.
I previously favored RackSpace and Digital Ocean for simplicity and focus for certain use cases (development prototypes, proof-of-concepts, etc.). I prefer to concentrate investment and training on the same platform when solutions scale and require more complex setups. Leveraging the learning curve on the service offering is increasingly specialized.
The setup is easy and greatly supported by the learning paths offered through the platform. Expertise is required to take full advantage of AWS tools and continuous innovations.
Some customers can become overwhelmed by the range of services, so training and assistance from specialized third-parties is strongly recommended. Even experimented managed service providers can complement internal capabilities and help in the training of internal teams.
One of the advantages of AWS is their high rate of innovation. However, in order to leverage this, internal or external expertise is required. A good partnership is recommended.
On demand, pay-as-you-go pricing is powerful to optimize expenses, but it’s important to keep a technical cost controlling function aware of usage and scale patterns to choose the best pricing mix.
Massive migration to cloud without analyzing the right service for the right usage can lead to higher cost than expected. It is important to get the right advice to match each use case needed to the optimum cloud economics.
Even if a lot of decisions to go to the cloud are based in the promise of lower costs, the true power of cloud services is their flexibility, rate of innovation, and avoiding vendor lock-in if architected consciously.
Even if a lift and shift approach with short schedules can lead to mistakes in choosing services and paying more than optimum, the speed in which you can correct the mistake is not comparable to any other infrastructure option.
This is forcing even the traditional hardware vendors to reinvent their business models and develop financial offerings that include operating expense based financing (pay-as-you-grow) or services based agreements (pay-as-you-go) to make their private cloud offerings competitive.
The other aspect to consider is the managed service required to get the most of this platform. Don’t underestimate the quality of the advice and support required. But at the same time, consider your core business management time released by adopting a platform instead of managing the components internally.
The internal expertise should evolve to understand how to use it best for the business outcomes pursued instead of the technicalities of how to make it. That’s where the right partnerships can be leveraged.
Test drive it with prototype applications, reproduce development and testing environments, and standardize your stacks to be able to move them easily, if needed. The deeper that the infrastructure-as-code approach is part of your culture, the easier it will be to leverage hybrid opportunities and gain agility.
This solution has been consistently in the top of the IaaS market for the last 10 years.
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