Based on our record, AWS Certificate Manager should be more popular than Google Cloud Dataflow. It has been mentiond 24 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.
In this tutorial, I will walk you through building a quick static site by doing a static build using ReactJS & create-react-app, then show you how to deploy that static site on AWS using S3 buckets as well as how to cache it & add SSL certificates with CloudFront CDN & Certificate Manager. - Source: dev.to / 12 months ago
Because of that, we'll need a valid public certificate, which we can request in Certificate Manager for free. - Source: dev.to / over 1 year ago
Check out Amazon certificate manager (ACM) . Essentially, you can have free public certificates for use with Amazon services with auto renewal. You don't have to use route 53 as your registrar but you do have to prove domain ownership in order to get certificates. Source: over 2 years ago
AWS Certificate Manager for securing the website and managing the ssl certificate. - Source: dev.to / over 2 years ago
Now we need to have the site secure with SSL/TLS. So we can either add a load balancer and associate it with a certificate from AWS ACM or directly create a certificate on the instance. Let's do the latter using OpenSSL. - Source: dev.to / over 2 years ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
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