AWS Elastic Beanstalk vs. Google App Engine vs. Proxmox VE

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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App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.

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We used Proxmox to implement private cloud services, for clusters
of a small number of servers, from 3 to 11 with and without high
availability. Allways with ZFS file systems, and we used to install the
root pool in SSDs mirrored and use other pools with RAID 10 in groups of
four, for the virtual machines and containers, for the backups and snapshots, we used magnetic disks with RAID 10, in groups of four. Do
not use an even number of servers because does not facilitates the
implementation of High Availability, because the corosync service must
have an odd number of servers to detect a failed server for the quorum
system. We used a variety of servers, from clone PCs with AMD Ryzen with 6 cores and 12 threads with 64 GB of RAM no ECC, to high end servers with 64 cores and 128 threads per cpu and 2 cpus per server, with AMD EPYC Rome or Milan, 2 terabytes of RAM ECC.

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• 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.

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• Quick to develop, quick to deploy. You can be up and running on Google App Engine in no time.
• Flexible. We use Java for some services and Node.js for others.
• Great security features. We have been consistently impressed with the security and authentication features of Google App Engine.

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• BackUp System, provides extensive propiertes and verifications. An exclusive server for BackUp Administration (PBS)
• Hardware Customization. You can select several properties to adapt the hardware to your needs
• Easy administration. You will be able to manage the server with easily accessible tools such as the web console and usage statistics.
• Certificates Administration.

• 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.

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• There is a slight learning curve to getting used to code on Google App Engine.
• Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
• Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)

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• The web UI does not work as well on mobile devices. It is useable, but a mobile optimised / responsive UI would be nice to have. There is a mobile app, so that may alleviate this issue, but I have not yet tried it.
• Support in the community forums could be better. There are paid support plans, but new users trying out the software will not have access to this. Answers to questions can sometimes be terse, and I can imagine this may put some people off.
• The wiki is a bit hit and miss with certain topics. I've often seen outdated or missing information, and the whole thing looks like it could do with some polish. I'd love to see it opened up for the community to add to.

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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.

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App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.

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Proxmox VE provides the most capable, yet stable virtualization platform in the market today. Licensing options are also competitive and cost-effective for support, and support is extremely fast and knowledgable of getting issues resolved as quickly and soundly as possible.

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The overall usability is good enough, as far as the scaling, interactive UI and logging system is concerned, could do a lot better when it comes to the efficiency, in case of complicated node logics and complicated node architectures. It can have better software compatibility and can try to support collaboration with more softwares

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I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster

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The interface is easy to use for most of it, but still lacks screens for some configurations. Also, a few of the screens are not as intuitive as they could be. This is specially true with disk and network configuration, where some graphic/visual representations of the configurations would be very useful

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Proxmox VE's ha-cluster functionality is very much improved, though does have a not-very-often occurrence of failure. In a 2-node cluster of Proxmox VE, HA can fail causing an instance that is supposed to migrate between the two nodes stop and fail until manually recovered through the command-line tools provided. Other than this, the HA clustering capability of Proxmox VE has proven to be reliable in 3 or more clustered environments with much less chance of these failures to occur.

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Proxmox VE's interfacing is always fast to load, both the Web interface and the command-line tool interfaces. Reporting is practically real time almost all the time, and you can see everything in mere seconds, easily able to identify if something is wrong or it everything is in tip-top shape as always desired

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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.

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Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.

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They are fast, understanding, very intelligent, know their product very well, fast, responsive, and concise. Need I say more?

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- 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.

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It worked, was easy and super fast to deploy, and provided everything we needed in a matter of minutes

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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.

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We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.

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Proxmox VE is cheaper than VMware, especially upscaling an HA architecture. Compared with other free or less expensive solutions, Proxmox VE is high compatible with more types of hardware solutions and more VM types. From my point of view, Proxmox VE has no competitor at the same price level, it offers the most complete and production-ready HA solution.

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Proxmox VE provides everything you need to quickly add new storage mediums, network and local, as well as networking interfaces, such as using Linux standard bridges and now Open-vSwitch bridges which can be even more scalable than before. Proxmox VE 4.0 dropped support for OpenVZ in favor of the more well supported and native LXC and made an upgrade path to it very simple.

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• 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

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• Effective employee adoption through ease of use.
• Effective integration to other java based frameworks.
• Time to market is very quick. Build, test, deploy and use.
• The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.

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• Due to the open source nature of Proxmox, we have no licensing costs while training our employees
• We've migrated 100% of our clients to Proxmox and have found improved uptime, and flexibility.
• In the 10 years of using Proxmox, we've yet to lose any data or not be notified of backup issues.

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