Azure Cloud Services vs. IBM Cloud Functions

I like the security provided by Microsoft Cloud Platform that gives us comfort that our Clouds data and applications are safe and secure with excellent backups and recovery capabilities and our entire organization depend on this platform for effective data migration. The system integrations with this platform are highly intuitive with the ease to customize its API and excellent performance monitoring capability to all our Clouds applications.

IBM Cloud Functions [is] not the worse product on the IBM cloud. I decided to write this review as I thought it would be balanced. I would still use functions to set up a serverless architecture where execution time is pretty quick and the code is relatively simple. I wouldn't use IBM Cloud Functions for async calls obviously, as costs could be higher. The functions documentation is lacking in terms of CI/CD, and there are unexplainable errors occurring - like the network connection that I mentioned. So I wouldn't just rely on IBM Cloud Functions too much for the entire system, but make sure it's diversified.

• Azure excels in providing scalable infrastructure and services. For example, organizations can use Azure Virtual Machines to dynamically adjust computing resources based on demand.
• Azure's Platform as a Service (PaaS) offerings, such as Azure App Service, empower developers to focus on building applications without dealing with the underlying infrastructure.
• Azure seamlessly integrates with on-premises environments, facilitating a hybrid cloud approach.
• Azure Functions allows organizations to execute code in a serverless environment, triggering functions in response to events without the need to provision or manage servers.

• Validate raw data files - check the validity of raw data input to the system, to make sure we analyze only the relevant data. The raw data stream rate is hard to be predicted, since it depends on real world activities.
• Analyze raw data - analyzing of valid raw data, described above.
• Insert data to LOCAL data base.

Incentivized

• Azure MySQL single server to flexible server migration
• Database Migration Services
• Azure VMs

Incentivized

• Billing can be a hassle, not the most responsive customer service/support team
• Handles & executes most functionalities, but other platforms offer more scalability if you're seeking consistent and stable growth

Incentivized

I feel AWS offers a robust and versatile platform for cloud infrastructure and services. It's scalability, reliability array of tools make it a top choice for businesses of all sizes. AWS has better open source communities such as Linux, Jenkins and GitHub in comparison to Azure service cloud

AWS Lambda is 100 times more robust than IBM cloud functions. They essentially do the same thing, but AWS works. AWS is stable. we have had epic failures with cloud functions. Support was horrible. We literally had an open ticket with them for 2 months and it literally went nowhere. They said it could do 100 calls a minute. We proved over and over that we couldn't get above 20 without getting failures. They had NO explanation whatsoever. The ticket got closed because we were tired of asking them questions and getting no understandable or usable response.

Incentivized

• Remote data accessibility via the platform is effective.
• Data security through the system is guaranteed.
• Easy data recovery solution.

Incentivized

• Definitely has positive impact due to the pay only when used feature
• Lightweight cloud services help with scaling without high investment in infrastructure

Incentivized