Likelihood to Recommend
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.
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Code Engine's adaptability makes it a good fit for both solo programmers working on side projects and large teams taking on more ambitious endeavors. IBM Cloud Code engine is a great option for a serverless platform for startups and small enterprises that are using Platform as a Service. It's useful for keeping execution times low and offering generous caps on useful resources.
Read full review Pros 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 Managed Environment for partners and customers - shifting skills and speed to CSP A variety of programming model support Elastic scalability for cloud native development and speed Flexible consumption model Containerized workloads with horizontal scalability Here is an example - live demo walk-thru delivered to partners and community: https://www.youtube.com/watch?v=MCBClYgpDFg Read full review Cons 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 For Bigger projects, the Number of jobs and apps can be increased along with maximum memory consumption. The Documentation can be more extensive for freshers and get more engagements from the newcomers. Moving around the security changes can be tricky and hard to change. 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.
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IBM Cloud Code Engine is good for developers to create a microservice based on typescript and nodejs. The tool can help mange the project very well. It decrease the difficulty for developement and increase deloping speed. However, the code engine UI on IBM cloud does not contain enough features it can support.
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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
We also use
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
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.
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What impresses me most about IBM Cloud Code Engine is the container workload management capability and the Cloud services and dataflow monitoring functionalities. Data security and network security control via IBM Cloud Code Engine is quite excellent and very responsive data integration functions and the first deployment is not very technical.
Read full review Return on Investment 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 IBM Cloud Code Engine secures my underlying infrastructure and help manage multiple project data. Easy resources management and the multiple transactions tracking through IBM Cloud Code Engine is amazing. Effective Application isolation from other workload using IBM Cloud Code Engine is perfect. Read full review ScreenShots IBM Cloud Code Engine Screenshots