This article is a follow-up on the previous post about Improving logreduce with Rust. With the new tokenizer in place, the next step is to implement the nearest neighbors model.
In this post you will learn the following about the core algorithm of logreduce:
Below are the tasks we worked on during our last sprint.
This article introduces logreduce-tokenizer which leverages the Rust programing language to improve logreduce performance and reporting capabilities.
In this post you will learn:
Logreduce is a command line tool that can extract …
Below are the tasks we worked on during our last sprint.
Below are the tasks we worked on during our last sprint.
Below are the tasks we worked on during our last sprint.
As a followup on the log4j recent vulnerability a notice has been made about that the previous mitigation might not be enough (https://logging.apache.org/log4j/2.x/security.html).
The vulnerability is affecting the following Software Factory services:
Install the mitigation from the install server by …
more ...An important Java vulnerability is affecting the following Software Factory service:
Install the mitigation from the install server by running these commands:
Software Factory ansible elasticsearch -m lineinfile -a "path=/etc/sysconfig/elasticsearch regexp='^ES_JAVA_OPTS=.*' line='ES_JAVA_OPTS=\"-Dlog4j2.formatMsgNoLookups=true\"'"
ansible elasticsearch -m service -a "name …Below are the tasks we worked on during our last sprint.
Below are the tasks we worked on during our last sprint.