And beego.vip times out in my browser. Source: about 1 year ago

I searched for top go frameworks and found gin, beego and fiber on the top. When I tried to open the website beego website is not working. beego.vip. Source: about 1 year ago

Guys, can u enter beego.vip? I can't enter the site and I have already tried to enter it with different networks provider and vpn services. Source: over 1 year ago

Dunno, I know beego which enough poverfull and mature Https://beego.vip/. Source: about 2 years ago

Today, most of that mess is just how you threaten children to behave, because everybody else now has their equivalent to Rails. C#/VB.NET's ASP.NET, Elixir's Phoenix, Go's Beego, PHP's Laravel, Haskell's IHP, Java's Jakarta EE, JavaScript's Express, and literally dozens of others now have effective parity with Rails. - Source: dev.to / almost 3 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 / 17 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 / about 1 month 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 2 months 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 / 3 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 / 5 months ago