AWS Lambda vs. Azure Kubernetes Service (AKS)

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.

Incentivized

At one instance, there was a fire in our data center and the backup power had some issues because of which the whole DC went down. I believe with AKS and the replication it's easier to handle such a situation. Also, the scenario would have been pretty transparent to the end-users.

Incentivized

• No provisioning required - we don't have to pay anything upfront
• Serverless deployment - it gets executed only when request comes and we pay only for the time the request is getting executed
• Integrates well with AWS CloudWatch triggers so it is easy to setup scheduled tasks like cron jobs

Incentivized

• Scales quickly when the user base increases randomly
• Downgrades very fast if a bunch of users hop off the system
• Great dev UX for IT

Incentivized

• 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.

Incentivized

• Steep learning curve
• Expected charges are unclear until you see real production usage
• Operations teams need to learn an entirely new skill set

Incentivized

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.

Incentivized

Barring certain missing features such as operator management , open cluster management, it does gives lot of options to host containerized applications. The GUI may be improved and can give user more insights to the cluster rather than using command line tools. The integration with standard azure monitoring tools is a big plus to use Azure Kubernetes Service (AKS)

Incentivized

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.

Incentivized

Microsoft support was really good, whenever we raise any ticket they come back to us within a couple of hours.

Incentivized

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

Incentivized

Due to cost efficiency. And using AZURE cloud for other services as well. Azure Kubernetes Service is more suitable to configure CI/CD pipelines. With a facility of automated or One click deployment and integration of the application. As compared with other Kubernetes Services like Amazon Elastic Kubernetes Service and Google Kubernetes Service, Azure Kubernetes is most cost-efficient with the same facilities and with an advantage to configure easily, manage easily, as it is one click manageable with Microsoft applications. It provides high Microsoft security to containers and secures applications from any kind of harm.

Incentivized

• 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.

Incentivized

• Positive impact in moving applications to cloud from the in-hose data center to save cost
• Sometimes got affected with some bugs on the AKS infrastructure but hasn't caused a big kios as our production footprint in AKS is not yet high

Incentivized