Amazon EC2 Auto Scaling vs. AWS Elastic Beanstalk

[Amazon EC2 Auto Scaling] is simple to set up and pretty self-explanatory. Never had issues around scaling up or down. [Now] we won't need to guess the capacity for our apps or services. The both scaling, up and down is simply perfect, you can actually stop checking every time for resources because this tool takes care of everything

Incentivized

AWS Elastic Beanstalk is well suited for [the] rapid development of applications that use standard compute platforms based on popular programming languages. So getting a Go, Python, Ruby, or Node.js app going in AWS Elastic Beanstalk will be easy. For non-standard applications, containers provide another option for using AWS Elastic Beanstalk. In either case, AWS Elastic Beanstalk is well suited for applications that are [self-contained]. AWS Elastic Beanstalk is also good for development or test environments that need a built-in deployment method. AWS Elastic Beanstalk is less appropriate for complex applications that rely on multiple AWS services. While deploying and running the base code might be easy to get going, it may be difficult to apply permissions and integrations with the other services.

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• Dynamic scaling can be configured to respond to a wide variety of metrics and alerts
• Predictive scaling allows one to get ahead of high traffic events rather than simply reacting to them
• Health checks are configurable based on the needs of your application and architecture

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• Extremely easy to get set up and get apps deployed.
• Integrates really well with existing build processes and is manageable through a suite of CLI tools.
• It is very easy to scale up.
• The documentation is exceptionally detailed and covers a very wide range of deployment scenarios.

Incentivized

• Sometimes, Auto scaling takes time to spin up your instances if your traffic is so high in short span of time.
• And, Auto scaling can be more efficient if we have only Load balancer in our architecture.
• It has some limitations on setting up the Auto scaling infra.

Incentivized

• How to more easily integrate with other other AWS services. There are plenty out there, but it's not quite as seamless as I feel like it should be to mix and match products.
• Make backing up easier when scaling the server. It took quite a bit of time to make sure we had everything set up in case something went wrong.
• When you are first starting to use AWS, the dashboard can be very intimidating. There are countless products all with names that aren't very indicative of what they actually do.

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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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Usability is good since we already know how AWS works. For those that are new it might be a little bit confusing at the beginning but they are improving it at a fast pace. Even though AWS keeps changing the user interface constantly, it is still powerful, understandable and easy to use. For technical people, they still offer the CLI.

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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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The platform works as is. The help and tutorials on the help page can help you to setup the entire platform without problems, and also provides help on a huge variety of problems. Amazon also provides support plans. We have the basic support plan, but Amazon offers three support tiers, and we know that it works perfect.

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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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- 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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The operating system, CPU, RAM, and storage may be constructed in any configuration and readily altered after the build. The most important factor is the "sense of security."Problems may arise once every several years, but there is a significant difference when discussing how to cope with hardware problems in the local age.

There are many services like AWS Elastic beanstalk, but there are none with the maturity in the platform or the cost-effectiveness of AWS Elastic Beanstalk. Also, AWS Elastic Beanstalk is the oldest among them, so there are more people with AWS experience than the other platforms. The only thing is their documentation and UX are a bit old, which doesn't stop it from performing greatly, but yes, if you are looking for better UX, then you can check out other options.

Incentivized

• Has helped increase service availability, which has contributed to a positive NPS from customers, leading to businesses maintaining current customers and enrolling more customers.
• Has enabled businesses to deploy applications quickly that contribute to improved customer service.
• Engineers can now focus more on product development rather than infrastructure issues.

Incentivized

• Elastic Beanstalk removes countless hours from development team responsibility, freeing up those resources to instead focus on building the products that our customers want to use.
• As a business that is already embedded into using EC2 instances, it's essentially free to leverage the work that AWS performs on configuring the Elastic Beanstalk stacks.
• With Elastic Beanstalk, while there is still a responsibility to ensure that applications can work with updated underlying dependencies, it's much easier when AWS handled the heavy lifting of updating the stacks.

Incentivized