If there are any runtime exceptions they are written to a log file using SeriLog. In source project see folder SampleLogFile for samples of the error log file. - Source: dev.to / 19 days ago

Captured in public static void OnActivated() and note Log is SeriLog. - Source: dev.to / 12 months ago

📌 Serilog NuGet package is used to log what goes on under the covers which will help to better understand how dealing with concurrency conflicts works and what information is available to a developer. - Source: dev.to / over 1 year ago

Take a look at the docs linked on the main page of Serilog[1] and the various videos[2] and blog posts[3] by the devs who make Seq. [1]: https://serilog.net/ [2]: https://datalust.co/ [3]: https://blog.datalust.co/. - Source: Hacker News / over 1 year ago

It surprised me for a bit, because Serliog's whole thing is "structured events ... Structured event data" (from https://serilog.net/ ). Source: almost 2 years ago

Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 2 days ago

I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 22 days ago

You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago

Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 2 months ago

Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago