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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Oracle SOA Suite
Score 8.0 out of 10
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The rapid adoption of cloud-based applications by the enterprise, combined with organizations’ desire to integrate applications with mobile technologies, is dramatically increasing application integration complexity. Oracle SOA Suite 12c, the latest version of the company's unified application integration and SOA solution, offers a simplified cloud, mobile, on-premises and Internet of Things (IoT) integration capabilities within a single platform.
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Pricing
AWS Lambda
Oracle SOA Suite
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128 MB
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1024 MB
$0.0000000167
Per 1 ms
10240 MB
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Oracle SOA Suite
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AWS Lambda
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Features
AWS Lambda
Oracle SOA Suite
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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.
Oracle service bus is great to quickly proxy any legacy services exposed as soap service. It's well suited for aggregating multiple services on a single endpoint. We can point to multiple endpoints on the business service and use a round-robin approach to access the endpoints. It's not well suited for data transformation and quick preview of mappings and transformations. It's not great on path to cloud transformation.
The Oracle Service Bus makes the management of web services extremely easy. Through its point and click interface, the web service endpoints can be easily modified.
The administration console provides useful dashboards to diagnose any service issues.
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.
Message reporting tied to a database seems counter productive. Better options to eliminate that would not only minimize the maintenance hassle but also gives more ease to manage the product.
Polling feature isn't very efficient where the end point JMS queues may still have JMS connections despite not enabling the corresponding poller proxy services.
Unable to deploy multiple web services in one go from the OSB Web console.
We have had not many issues with Oracle Service Bus and it's very stable for our requirements. It's highly available and helps us implement Tier1 applications on it.
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.
It's an excellent enterprise service bus and has very stable features. We have been using it since 2008. We did hit into some issues. But, recreating the service helped fix many issues. Also, deployment to various environments was easy. Also, the plugin on Eclipse helps to build proxy and business services quick and easy.
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.
We had some issues with MQ connectivity through OSB and our experience was poor with the support team. They do respond. But, it felt like we are ignored and we had bad support. We had to escalate and things used to get dragged for weeks before we get more quality questions on how to pursue investigation.
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
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.