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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Azure Application Gateway
Score 8.5 out of 10
N/A
Microsoft's Azure Application Gateway is a platform-managed, scalable, and highly available application delivery controller as a service with integrated web application firewall.
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NGINX
Score 9.2 out of 10
Mid-Size Companies (51-1,000 employees)
NGINX, a business unit of F5 Networks, powers over 65% of the world's busiest websites and web applications. NGINX started out as an open source web server and reverse proxy, built to be faster and more efficient than Apache. Over the years, NGINX has built a suite of infrastructure software products o tackle some of the biggest challenges in managing high-transaction applications. NGINX offers a suite of products to form the core of what organizations need to create…
I selected Nginx because it is easy to learn, use, and maintain. I almost never have to troubleshoot it ever since I deploy it. It just meets my need for a personal learning experience. It works well with PHP and MySQL on Linux. That is why I chose it at first.
Nginx works on basic operating system principles and what I like the most about it is that even after being feature-rich and easily customizable it uses minimum resources.
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.
For building scalable and highly available applications, Azure Application Gateway does most of the job on behalf of you; automatically load-balancing traffic from a number of users to a number of back-end servers. This ensure scalability and availability. The in-built security is great as can be expected from Microsoft, and user has a variety of tools for monitoring the health of the load-balancing function as well as the health of back end servers behind it.
Nginx is well-suited for any web server scenarios, such as web applications, backend or reverse proxy for both application and HTTP requests, and distribution. It is less appropriate for Windows-based applications that run directly on a Windows Server host. In any case, it is very easy to manage, through separate conf files for each application or site you want to host with it.
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.
Customer support can be strangely condescending, perhaps it's a language issue?
I find it a little weird how the release versions used for Nginx+ aren't the same as for open source version. It can be very confusing to determine the cross-compatibility of modules, etc., because of this.
It seems like some (most?) modules on their own site are ancient and no longer supported, so their documentation in this area needs work.
It's difficult to navigate between nginx.com commercial site and customer support. They need to be integrated together.
I'd love to see more work done on nginx+ monitoring without requiring logging every request. I understand that many statistics can only be derived from logs, but plenty should work without that. Logging is not an option in many environments.
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.
Most of the Application Gateway's features and services can be managed and re-configured via either the Azure Portal GUI or via the Azure Cloud Shell, thus allowing both CLI modes, i.e. Azure CLI (Bash) and Azure Powershell. The v2 version of Application Gateway has significantly improved performance during initial configuration or during re-configuration changes, thus making it much more usable for IT admins, as compared to v1.
This tool is really easy to use and configure. Consumes very less system resources. It is highly modular and configurable. You can easily use it with other tools like certbot for SSLs. You can configure basic security with configuration and headers
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.
Community support is great, and they've also had a presence at conferences. Overall, there is no shortage of documentation and community support. We're currently using it to serve up some WordPress sites, and configuring NGINX for this purpose is well documented.
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
Other load balancing tools in Azure (Azure LB and Azure Traffic Manager) are limited in their functionality in comparison with the Azure Application Gateway, and also, they don't provide security features. Azure Firewall, although it has security features, is more expensive, and most importantly, it's not a load balancer at all.
I have found that [NGINX] seems to perform better throughout the years with less issues although I've used Apache more. I would definitely recommend [NGINX] for any high volume site and I've seen this to usually be the case from most provided web hosts who will pick [NGINX] over alternatives
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.
By using Nginx, we can host multiple web services on a single server, keeping our infrastructure costs lower.
Nginx maintains our HTTPS connections, allowing us to keep our promise to our customers that their data is safe in transit.
Due to Nginx's extremely low failure rate, our web addresses always return something meaningful, even when individual services go down. In sense, this means we are "always online" and allows us to maintain brand and support our customers even in the face of catastrophe.