Amazon Elastic Block Store (EBS) from AWS is designed for application workloads that benefit from fine tuning for performance, cost and capacity. Typical use cases include Big Data analytics engines (like the Hadoop/HDFS ecosystem and Amazon EMR clusters), relational and NoSQL databases (like Microsoft SQL Server and MySQL or Cassandra and MongoDB), stream and log processing applications (like Kafka and Splunk), and data warehousing applications (like Vertica and Teradata).
N/A
AWS Elastic Beanstalk
Score 7.4 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 Block Store (EBS)
AWS Elastic Beanstalk
Editions & Modules
No answers on this topic
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 Elastic Block Store (EBS)
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
—
—
More Pricing Information
Community Pulse
Amazon Elastic Block Store (EBS)
AWS Elastic Beanstalk
Features
Amazon Elastic Block Store (EBS)
AWS Elastic Beanstalk
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
EBS is well-suited for use as a storage option for databases, including relational databases, NoSQL databases, and big data analytics databases. EBS can provide high IOPS (Input/Output Operations per Second) and low latency. EBS provides a high-availability storage solution, which ensures that your data is always available and accessible even in case of a single or multiple availability zone failures. EBS can also be replicated across multiple availability zones to ensure data durability. The scenario where I find it less appropriate is in terms of cost; EBS can be more expensive than other storage options, such as Amazon S3, especially for large amounts of data or for infrequently accessed data.
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.
Amazon EBS is a great tool and fairly easy to use as long as you are familiar with the Amazon Web Service ecosystem. It allows a great way for you to move storage around easily and allows you to quickly provision storage as needed based on the business requirement. For us, it's easy to move between our EC2 images that had been linked with EBS storage between these Amazon accounts.
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
The support for Amazon Elastic Block Store is great as long as you can articulate your needs. Like most tools, there may be some back and forth before you find a support person that is knowledgable in the tool and can provide you with necessary insights.
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.
Volumes range from cost-effective dollar-per-GB to high performance with the fastest IOPS and throughput. You can change volume types, tune performance, or increase volume size without disrupting your critical applications. EBS volumes are replicated within an Availability Zone (AZ) and can easily scale to petabytes of data. Build your SAN in the cloud for I/O-intensive applications. Run relational or NoSQL databases.
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.
In terms of ROI, I found it's really cost-effective since maintenance cost is not there. No need to spend extra money on the procurement of hard drives
On demand feature of Ebs is quite effective when you require extra storage you can allocate and pay as per your need.
Accessibility from everywhere and deployment of it across different geographical location.
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.
