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The official website. The vulnerability was introduced in 2.0-beta7 which was released in 2013. Source: about 1 year ago
What you need is log4j-core, what you downloaded is some kind of connector between log4j and JUL. Tbh I don't know what JUL is, but that's not important. You can get log4j-core on from the official website - https://logging.apache.org/log4j/2.x/ or in maven repo. In case you're not using maven, I highly, highly recommend you using it for managing your dependencies. Source: about 1 year ago
Log4J(https://logging.apache.org/log4j/2.x/) is a Java-based logging framework. It is a part of Apache Logging Services. It was also the most popular and widely used Java logging solution until the exposure of its Log4Shell vulnerability last year. - Source: dev.to / over 1 year ago
Almost nothing is more ubiquitous in applications than logging libraries. No matter which type of application - hastily thrown-together prototypes, decades-old enterprise monoliths, newly built event-driven serverless apps - there is always the need to log. Even in non-production-grade applications where standard observability patterns such as monitoring and alerting might not be applied - logging is usually... - Source: dev.to / about 2 years ago
Most applications currently use Log4J2 or SLF4J. Both provide a compatible System.Logger implementation. - Source: dev.to / about 2 years ago
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
LOGBack - Logging framework
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
tinylog - tinylog is a lightweight logging framework with static logger class for Java and can be configured...
Hadoop - Open-source software for reliable, scalable, distributed computing