Likelihood to Recommend Amazon Elastic Container Service (Amazon ECS) is well suited where you need the ease of managing the clusters by letting AWS do the stuff for you. Obviously, whenever you want to run the docker based workloads, it is always better to go for either AWS ECS or AWS EKS. If you are interested in staying at AWS only and don't want to be cloud-agnostic, then go for AWS ECS instead of AWS EKS. AWS ECS is cheaper than AWS EKS and also more managed by AWS and better integrated with other AWS services. If you want to run those workloads as serverless, then AWS ECS Fargate is the best option to go with. If you already have a
Kubernetes based setup that you want to migrate to AWS, then go for AWS EKS instead of AWS ECS.
Read full review I have been using AWS Elastic Beanstalk for more than 5 years, and it has made our life so easy and hassle-free. Here are some scenarios where it excels -
I have been using different AWS services like EC2, S3, Cloudfront, Serverless, etc. And Elastic Beanstalk makes our lives easier by tieing each service together and making the deployment a smooth process. N number of integrations with different CI/CD pipelines make this most engineer's favourite service. Scalability & Security comes with the service, which makes it the absolute perfect product for your business. Personally, I haven't found any situations where it's not appropriate for the use cases it can be used. The pricing is also very cost-effective.
Read full review Pros One of the biggest advantages is the flexibility to change underlying EC2 instances. As the traffic or demand increases, we can easily change EC2 instances without any issues. Amazon ECS APIs are extremely robust and one can start and stop containers by firing one post request only. So, it is not mandatory to keep the demo solutions up for every time. Just at the time of demo fire the command - make the container up and running - do the demo - down the container with API. A simple portal can control every container which helps non-technical (sales, marketing) to do the demo without keeping the solutions up for the entire time frame. Read full review Getting a project set up using the console or CLI is easy compared to other [computing] platforms. AWS Elastic Beanstalk supports a variety of programming languages so teams can experiment with different frameworks but still use the same compute platform for rapid prototyping. Common application architectures can be referenced as patterns during project [setup]. Multiple environments can be deployed for an application giving more flexibility for experimentation. Read full review Cons A cleaner container service road map It would be. nice to have more AI recommended cluster reductions The UX could use some simplification Read full review Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example. It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made. Read full review Likelihood to Renew As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.
Read full review Usability It is a great tool to manage your applications. You just need to write the codes, and after that with one click, your app will be online and accessible from the internet. That is a huge help for people who do not know about infrastructure or do not want to spend money on maintaining infrastructure.
Read full review Support Rating Support is relatively good, although the documentation sometimes is lacking, as well as outdated in our experience, especially when we initiated the process of using this service. But once we found how to assemble things, we haven't really required support from anyone at AWS, the service works without problems so we haven't had the need to contact support, which speaks well of how ECS is built.
Read full review As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.
Read full review Implementation Rating - Do as many experiments as you can before you commit on using beanstalk or other AWS features. - Keep future state in mind. Think through what comes next, and if that is technically possible to do so. - Always factor in cost in terms of scaling. - We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.
Read full review Alternatives Considered EKS is a
Kubernetes technology and you need to learn
Kubernetes and build a cluster before using it. So there's a learning curve here. ECS was easier to implement and simpler to have in our use case. It takes less time to run a workload and make it available.
Read full review We also use
Heroku and it is a great platform for smaller projects and light Node.js services, but we have found that in terms of cost, the Elastic Beanstalk option is more affordable for the projects that we undertake. The fact that it sits inside of the greater AWS Cloud offering also compels us to use it, since integration is simpler. We have also evaluated
Microsoft Azure and gave up trying to get an extremely basic implementation up and running after a few days of struggling with its mediocre user interface and constant issues with documentation being outdated. The authentication model is also badly broken and trying to manage resources is a pain. One cannot compare Azure with anything that Amazon has created in the cloud space since Azure really isn't a mature platform and we are always left wanting when we have to interface with it.
Read full review Return on Investment We achieved minimum downtime. The autoscaling kept the performance of the services great. We saved money by running the workloads on AWS ECS in Fargate mode by having different settings for different services to save on the hardware configuration side as well as having scheduled tasks. Read full review till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation it meets our purpose of quick deployment as compared to on-premises deployment till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity Read full review ScreenShots