Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud or on-premises, available on AWS or on-premise through Amazon EKS Anywhere.
$0.10
per hour of each cluster created
AWS Elastic Beanstalk
Score 7.5 out of 10
N/A
AWS Elastic Beanstalk is the platform-as-a-service offering provided by Amazon and designed to leverage AWS services such as Amazon Elastic Cloud Compute (Amazon EC2), Amazon Simple Storage Service (Amazon S3).
$0
Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Pricing
Amazon Elastic Kubernetes Service (EKS)
AWS Elastic Beanstalk
Editions & Modules
Amazon EKS Cluster
$.10
per hour of each cluster created
No Charge
$0
Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Offerings
Pricing Offerings
Amazon EKS
AWS Elastic Beanstalk
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Elastic Kubernetes Service (EKS)
AWS Elastic Beanstalk
Features
Amazon Elastic Kubernetes Service (EKS)
AWS Elastic Beanstalk
Container Management
Comparison of Container Management features of Product A and Product B
Amazon Elastic Kubernetes Service (EKS)
8.9
Ratings
14% above category average
AWS Elastic Beanstalk
-
Ratings
Security and Isolation
9.00 Ratings
00 Ratings
Container Orchestration
8.00 Ratings
00 Ratings
Cluster Management
8.00 Ratings
00 Ratings
Storage Management
9.00 Ratings
00 Ratings
Resource Allocation and Optimization
9.00 Ratings
00 Ratings
Discovery Tools
8.00 Ratings
00 Ratings
Update Rollouts and Rollbacks
9.00 Ratings
00 Ratings
Self-Healing and Recovery
10.00 Ratings
00 Ratings
Analytics, Monitoring, and Logging
10.00 Ratings
00 Ratings
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Well suited for microservices architecture but can be a bit costly if less number of microservices or monolithic architecture hosted to be hosted on containers. Use of hybrid cluster instances also works well using both normal and fargate instances. Also the integration of audit and diagnostic logs of master nodes helps to reduce the unwanted access related issues.
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.
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.
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.
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
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.
- 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.
It feels like AWS is behind the EKS race, the only advantage I'm able to see right now is the support of IPv6, however, trying to promote AWS alternatives that are different from the market and more like a vendor locking solutions like ECS/Fargate have kept AWS behind and focusing on the wrong things. EKS needs to really improve its integration with the Kubernetes ecosystem and have an enterprise solution for monitoring, backups, and service mesh.
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.
Migrating all our workloads from ec2 VMs to containers running in Kubernetes has been a huge improvement for the management and resilience of our Infrastructure.
EKS Upgrade process to a new version seems to be taking very long ....
EKS creation time usually takes over 10 minutes in us-east-1, we would like faster creation times to be under 5 minutes.
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.
