Koyeb is a developer-friendly platform providing the fastest way to deploy full stack applications, APIs, workers, and databases globally. Backed by high-performance bare metal machines, we manage the underlying infrastructure and run your workloads all around the world.
When deploying applications, there are a few things that are essential and shouldn’t be traded:
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Koyeb's answer:
We custom-built our serverless engine with a custom stacked based on Nomad, Firecracker microVMs, and Kuma. https://www.koyeb.com/blog/the-koyeb-serverless-engine-from-kubernetes-to-nomad-firecracker-and-kuma
Koyeb's answer:
We're building a platform that allows you to deploy and run full-stack apps and APIs written with your favorite framework and language without having to deal with infrastructure. No server, networking, or Kubernetes management necessary to get your apps running globally. You simply push your code to your Git repository and we handle the build process and deploy inside of Firecracker microVMs with a ready-to-use network stack.
We also wrote a blog about why we are building Koyeb: https://www.koyeb.com/blog/building-a-global-deployment-platform-is-hard-here-is-why
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 more popular. It has been mentiond 372 times since March 2021. 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.
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 / 1 day 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 / 2 days ago
Heroku runs on top of Amazon Web Services (AWS). Key benefits for me are:. - Source: dev.to / 17 days ago
First navigate to AWS at - https://aws.amazon.com create an account and then on the dashboard search for Amazon SES, click get started and then you should be directed to a dashboard like this. - Source: dev.to / 17 days ago
AWS Account Setup: If you don't have one, you can create a free account. - Source: dev.to / 21 days ago
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