AWS Lambda vs. Oracle Cloud Platform

Scenarios where AWS Lambda is well suited: 1. When we need to run a periodic task few times in a day or every hour, we may deploy it on AWS Lambda so it would not increase load on our server which is handling client requests and at the same time we don't have to pay for AWS Lambda when it is not running. So, overall we only pay for few function invocations. 2. When some compute intensive processing is to be done but the number of requests per unit of time fluctuates. For example, we had deployed an AWS Lambda for processing images into different sizes and storing them on AWS S3 once user uploads them. Now, this is something that may happen few times every hour on a particular day or may not happen even once on other days. To handle this kind of tasks AWS Lambda is a better choice as we don't have to pay for the idle time of the server and also we don't have to worry about scaling when the load is high. Scenarios where AWS Lambda is not appropriate to use: 1. When we expect a large request volume continuously on the server. 2. When we don't want latency even in case of concurrent requests.

Incentivized

We had been slowly implementing Oracle products to replace several existing systems and so we needed a platform that would work to integrate across all of these solutions. Our company is fairly large and we work with a variety of clients and vendors as well. We needed an easier way for everyone to access information and discuss what data and future integration were most appropriate.

Incentivized

• Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
• The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
• Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.

Incentivized

• Oracle Cloud Platform can provide consistent latency guarantees in multiple geographics.
• It works well with Oracle Database that is being used as the primary database without the need for custom configuration.
• Oracle Cloud Platform has reasonable customization options to fine-tune it for workloads that require very low latency for events/transactions.

• Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
• While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
• AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.

Incentivized

• Going with any Oracle Cloud Platform Solution for BI Implementation, I would prefer a strong/powerful Oracle tool to push data in Oracle Cloud Datawarehouse.
• There are chances of overage charges on using the Oracle Cloud Platform, if you choose to implement any services with non-allocated core CPU. So expect to give some alert before even allowing to implement any service with not allocated core CPU or remove the displaying of non-allocated CPUs for users.
• It can allow options where Oracle Cloud storage container username password as never expired.

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

I have not needed support for AWS Lambda, since it is already using Python, which has resources all over the internet. AWS blog posts have information about how to install some libraries, which is necessary for some more complex operations, but this is available online and didn't require specific customer support for.

Incentivized

Azure Functions is another product that provides lambda functionality, but the documentation for some of Azure's products is quite hard to read. Additionally, AWS Lambda was one of the first cloud computing products on a large cloud service that implemented lambda functions, so they have had the most time to develop the product, increase the quality of service, and extend functionality to more languages. Amazon, by far, has the best service for Lambda that I know.

Incentivized

If you already have considerable Oracle licenses, then Oracle Cloud Platform is the best option. If most of your applications and needs are Windows-based, then Microsoft Azure is the best choice. Google GCP is on par with Oracle Cloud Platform in various features, including global reach. Cisco Hybrid Cloud Platform is an excellent choice if you have some interesting network requirements for the application to be deployed.

• I was able to perform a lot of processing on data delivered from my website and little or no cost. This was a big plus to me.
• Programming AWS Lambda is quite easy once you understand the time limits to the functions.
• AWS Lambda has really good integration with the AWS S3 storage system. This a very good method of delivering data to be processed and a good place to pick it up after processing.

Incentivized

• I only used the trial version, but I liked the rich UI experience. It was easy to understand. I liked the fact that there are a lot of apps in the app store. A lot of brands use Oracle which leads to trust. It's also scalable.
• As a consultant, this is something I can recommend to my customers over Amazon AWS Cloud because it has the built-in security that you don't have to buy separately.
• Easy to integrate. My clients are looking for a one-stop ecosystem that can be used for everything including HR, Security, Analytics, Dashboards, and user experience. This saves me time as a consultant as well.

Incentivized