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stsffapon Graceful cancellations: How to keep your application/workflow state consistent

With graceful cancellations, it is now possible to stop service invocations and workflows while keeping the overall application state consistent.

stsffapon Restate 0.7 Is Here

The 0.7 release of Restate ships great new features such as the Restate CLI, one-click project templates, invocation cancellations, one-click cloud deployment, new ways to install Restate, and much more.

stsffapon I ran the worlds largest DDoS-for-Hire empire and Cloudflare helped

Sorry to hijack this discussion thread. I've come across your comments on https://news.ycombinator.com/item?id=28425379 and I think you have brought up some really good points what modern DBs should support. Especially, the queue support for atomic state changes and message sending can be a powerful primitive. I am currently looking into this area and would love to have a chat with you if you like. You can reach me via my twitter @stsffap.

stsffapon Apache Flink ML 2.0 is released: ML for streaming data

Flink supports the distributed execution of code and, thus, also ML algorithms that are written like this.

stsffapon Ask HN: Who is hiring? (November 2016)

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Positions:

- Software Engineer (https://data-artisans.workable.com/jobs/241346)

- Senior Data Engineer (https://data-artisans.workable.com/jobs/325667)

- Software Engineer (Support) (https://data-artisans.workable.com/jobs/241347)

Benefits:

- Competitive salary and stock options

- Flexible working hours and vacation

- Pick your own tech gear

More details here: http://data-artisans.com/careers

stsffapon Introducing Complex Event Processing (CEP) with Apache Flink

As input you can basically use any Flink DataStream<T>. There are multiple ways to ingest this data into your Flink program. The most common way is to use a Flink connector for Kafka or RabbitMQ. Or you can also write your own Flink source function. This repository https://github.com/tillrohrmann/cep-monitoring contains a complete working example for the monitorig use case. Instead of reading from an external source, we've defined a custom source to generate the input data. The output data is written to stdout for demonstration purposes.