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 Cloud Infrastructure
Score 8.5 out of 10
N/A
Oracle Cloud Infrastructure (OCI) is Oracles's infrastructure-as-a-service (IaaS) platform which combines the utility of public cloud with the granular control, security, and predictability of on-premises infrastructure.
[AWS Lambda] is very well suited for the projects that doesn't have any infra but needs it where short running processes are required. But if your application need to run continuously than this might not be the very apt tool for you.
It is a service that enables us to divide incoming network traffic among numerous resources, including virtual computers. By intelligently routing requests, it guarantees fault tolerance and high availability. Application performance is enhanced, and resource utilization is optimized by load balancing. SSL/TLS termination and public and private load balancing are supported. Using the Oracle Cloud Infrastructure Console or APIs, load balancers are simple to set up and configure.
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.
Oracle Cloud Infrastructure has a generous free tier, moreso than other hyperscalers, with an always-free tier that guarantees certain products are always free
Oracle Cloud Infrastructure allows you to size VMs with differing combinations of CPU and RAM, which is contrary to other hyperscalers that have specific pre-defined combinations only
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.
Navigating the UI takes lots of getting used to. It reminds me of older GCP (just to get used to where everything is).
Permission for different things always seemed to be more difficult than it really needed to be. Once you got them set up you were good but updating anything or creating new permissions for just about anything took longer than I thought it should.
Based on how the buttons were laid out, it was pretty easy to delete all of your DNS records, and backing them up was not as intuitive as I'd like with the UI, but it was easy to do using a script.
Reliability: Very dependable and stable OCI services have been for the business operations.Performance: The speed and efficiency of OCI in meeting their computing and storage needs.Scalability: The ease and effectiveness of scaling resources up or down to accommodate changing demands.Security: The robustness and effectiveness of OCI's security features in protecting their data and applications.
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.
The services & products in Oracle Cloud Infrastructure needs more improvement to beat other Cloud service providers. The price is good & Security processes are good. We are requiring to put more effort in supporting this Oracle Cloud Infrastructure than other Cloud service providers. Probably better ways are there but is not super easy to find or not super available
In our project where we are handling Big data, Oracle Cloud helped us a lot by improving its performance and reducing the time taken. Its role-based security helped us to manage the privacy in our project. When there was load, its scalability feature helped us a lot by scaling it to a configured higher scale.
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.
Overall it is amazing, there is always room for improvement. We have weekly updates that tend to slow the program used more and more. We had to change some reports within Oracle because the others wouldn’t load. This is tied to our payroll and the delays are causing many time constraint issues and panic. We have to create a new report when one breaks. Otherwise awesome!
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.
We did an proof of concept between Oracle Cloud Infrastructure, Amazon Web Service and Microsoft Azure. Oracle Cloud Infrastructure was the clear winner with us because of support of the product. The Oracle Cloud Infrastructure support staff was very knowledgeable and helpful getting us up and running with a bit of time investment. This pushed Oracle Cloud Infrastructure out ahead of the other two products.
was not part of initial purchase team. Anyways, i think unit pricing and billing frequency is good compared to other Cloud service providers, when it comes to Cloud Capital expenditure & Operational expenditure. Would be more interested in exploring more options where customers can get more cost relaxations on trying out new cloud services in Oracle Cloud Infrastructure for example a new App or a feature
Services & Infra wise is ok to use & host applications & services. Security wise also good for a Cloud service provider. It is a interesting area to explore & using it for day to day needs can be further improvised in future probably. Modern day Services like AI and Machine learning could be improved
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.
It improved the performance of all the applications we migrated by an average of ~90%.
OCI storage reduced the cost by an average of 40% on all the migrations we did. This includes backups as well.
Object Storage Archive is the most reliable and cheapest storage available for DB backups or application backups. This reduced our storage costs significantly compared to on-premises.
The minimum volume size for block volume is 50 GB. This forced us to use more storage on some applications but the impact of the cost increase is < 5%.
Lack of reduced redundancy storage options in object storage may have increased costs by > 8% for our use-case.
