AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
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Per 1 ms
Drupal
Score 7.0 out of 10
N/A
Drupal is a free, open-source content management system written in PHP that competes primarily with Joomla and Plone. The standard release of Drupal, known as Drupal core, contains basic features such as account and menu management, RSS feeds, page layout customization, and system administration.
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Pricing
AWS Lambda
Drupal
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
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Offerings
Pricing Offerings
AWS Lambda
Drupal
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
AWS Lambda
Drupal
Features
AWS Lambda
Drupal
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.
If you want to set up a basic Not For Profit (NFP) Membership system and content base, Word Press is easier than Drupal. However, if you have specific needs that require a fair bit of customisation then Drupal is the best CRM available. If the webmaster is confident with PHP and SQL, Drupal allows a lot of creativity.
Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
This is not an easy CMS to work with if you don't have a good understanding of website development. It isn't "plug-and-play" like Wordpress or Shopify.
Over time, doing major updates to the system can be taxing, especially if you aren't well-versed enough in doing system updates in line with your "child" theme and code.
The CMS can become somewhat cumbersome with server resources if not carefully optimized while you build and customize it to your liking.
The time and money invested into this platform were too great to discontinue it at this point. I'm sure it will be in use for a while. We have also spent time training many employees how to use it. All of these things add up to quite an investment in the product. Lastly, it basically fulfills what we need our intranet site to do.
I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
As a team, we found Drupal to be highly customizable and flexible, allowing our development team to go to great lengths to develop desired functionalities. It can be used as a solution for all types of web projects. It comes with a robust admin interface that provides greater flexibility once the user gets acquainted with the system.
Drupal itself does not tend to have bugs that cause sporadic outages. When deployed on a well-configured LAMP stack, deployment and maintenance problems are minimal, and in general no exotic tuning or configuration is required. For highest uptime, putting a caching proxy like Varnish in front of Drupal (or a CDN that supports dynamic applications).
Drupal page loads can be slow, as a great many database calls may be required to generate a page. It is highly recommended to use caching systems, both built-in and external to lessen such database loads and improve performance. I haven't had any problems with behind-the-scenes integrations with external systems.
Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.
As noted earlier, the support of the community can be rather variable, with some modules attracting more attraction and action in their issue queues, but overall, the development community for Drupal is second to none. It probably the single greatest aspect of being involved in this open-source project.
I was part of the team that conducted the training. Our training was fine, but we could have been better informed on Drupal before we started providing it. If we did not have answers to tough questions, we had more technical staff we could consult with. We did provide hands-on practice time for the learners, which I would always recommend. That is where the best learning occurred.
The on-line training was not as ideal as the face-to-face training. It was done remotely and only allowed for the trainers to present information to the learners and demonstrate the platform online. There was not a good way to allow for the learners to practice, ask questions and have them answered all in the same session.
Plan ahead as much you can. You really need to know how to build what you want with the modules available to you, or that you might need to code yourself, in order to make the best use of Drupal. I recommend you analyze the most technically difficult workflows and other aspects of your implementation, and try building some test versions of those first. Get feedback from stakeholders early and often, because you can easily find yourself in a situation where your implementation does 90% of what you want, but, due to something you didn't plan for, foresee, or know about, there's no feasible way to get past the last 10%
AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions
Drupal can be more complex to learn, but it offers a much wider range of applications. Drupal’s front and backend can be customized from design to functionality to allow for a wide range of uses. If someone wants to create something more complex than a simple site or blog, Drupal can be an amazing asset to have at hand.
Drupal is well known to be scalable, although it requires solid knowledge of MySQL best practices, caching mechanisms, and other server-level best practices. I have never personally dealt with an especially large site, so I can speak well to the issues associated with Drupal scaling.
Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.
