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.
$NaN
Per 1 ms
Canonical OpenStack
Score 9.1 out of 10
N/A
Canonical OpenStack is the cloud openstack option from Canonical in the UK. Using private and public cloud infrastructure at the same time allows users to optimise CapEx and OpEx costs. Users can create cost-effective, enterprise-grade public cloud infrastructure on Ubuntu.
$7,500
one-time fee
Pricing
AWS Lambda
Canonical OpenStack
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
Private Cloud Build
$75,000
fixed price
Private Cloud Build Plus
$150,000
fixed price
Offerings
Pricing Offerings
AWS Lambda
Canonical OpenStack
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
—
Additional features, functionality, and integrations are available via add-ons
More Pricing Information
Community Pulse
AWS Lambda
Canonical OpenStack
Features
AWS Lambda
Canonical OpenStack
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.
Ubuntu OpenStack is well suited for startups where there are very tight financial constraints. As Ubuntu OpenStack is open source, the startup organizations will not have to spend a lot when compared to their commercial offerings in the market. Ubuntu OpenStack is less appropriate in organizations where they don't want to have private on-prem clouds. As deploying a private on-prem cloud is a very cumbersome and tedious task, the organizations must have a dedicated team to manage such on-prem deployments.
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.
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.
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.
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
Everybody knows VMWare which is the world's number one in data center infrastructure management. OpenStack is lot lot less expensive but doesn't offer all the functionalities you have with VMWare especially for High Availability and load balancing. You should go for OpenStack if you need an easy to use solution without the need for external consultants. If you don't have the capacity to manage your own infrastructure you had better go for VMWare.
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.