You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be a lot more popular than Podkite. While we know about 374 links to Amazon AWS, we've tracked only 2 mentions of Podkite. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I use podkite.com . My favourite of the podcast landing page generators and review collators! Source: almost 2 years ago
Podkite.com - so far the best I've found for bringing together all reviews, plus an epic 'podlink' landing page which directs people to the podcast (or single episodes) on all the platforms, plus enabling me to add CTA or custom links. Has great analytics, too. You can see my general podcast link here if that helps and a single episode link here. I'm on premium plan. Source: almost 2 years ago
Step 1: Visit AWS Website Navigate to the AWS website and click on the create an AWS account button on the top right corner. - Source: dev.to / 6 days ago
When I first started using AWS, I'd often end up spending a lot more as compared to what my expectation, but since the projects were small and the small differences in run-time did not affect the business function that much I used to overlook it. It was only when we started the first major project that we learnt about polling in AWS Lambda and it has been a lifesaver. On a recently completed project, we are... - Source: dev.to / 5 days ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / 7 days ago
Salesforce is a powerful customer relationship management (CRM) platform that helps organizations manage their sales, marketing, and customer service processes. However, to unlock its full potential, integrating Salesforce with other powerful platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure can provide additional functionalities, streamline processes, and enhance data... - Source: dev.to / 8 days ago
Heroku runs on top of Amazon Web Services (AWS). Key benefits for me are:. - Source: dev.to / 22 days ago
Voxalyze - Increase the visibility and audience of your podcast with Voxalyze's Podcast Visibility Optimization solutions. Get your podcast discovered.
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