Based on our record, Google Cloud Dataflow should be more popular than Pushpin. It has been mentiond 14 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.
For realtime, I used Pushpin with Server Sent Events. (It supports WebSocket as well). - Source: dev.to / 11 months ago
Instead of letting clients directly interface with your services over websockets, consider using Pushpin [1], which allows you to completely isolate realtime communication from your services. As a bonus, it also provides you the ability to cycle (redeploy/restart) your services without your clients having to reconnect (that's where the name comes from). And as you can imagine - because communication with your... - Source: Hacker News / about 1 year ago
Vapor[0] based on Swift. Advantage of this is that you don't have to evaluate multiple frameworks for Swift and suffer paralysis by analysis. All the Swift community is behind one framework. The next is Actix[1] based on Rust. There are many frameworks in Rust and most of them have not reached 1.0 And which framework will survive becomes a question. Other not so well-known is Wt[2] based on C++. This actually is... - Source: Hacker News / over 1 year ago
If you are developing the backend then Pushpin[0] is the easiest to integrate with. [0] https://pushpin.org. - Source: Hacker News / over 1 year ago
There is also the option of running a proxy which handles the stateful nature of websockets (i.e. https://pushpin.org/), and then handle the rest in a stateless way with lambdas or similar. Source: over 1 year 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 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year 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 1 year 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 2 years ago
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