The BytesLines iterator's goal is to provide an API for processing logs line by line. It processes logs by:

• Splitting sub line to treat cmd output embedded as a long oneliner.
• Working with Read objects, such as file decompressors or network endpoints.
• Using zero copy slices to optimize memory usage …

Below are the tasks we worked on during our last sprint.

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:

• Why vectorization is necessary.
• Cosine similarity …

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:

• What logreduce is.
• How it works.
• Why we need this new function.
• What the upcoming roadmap is.

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:

• elasticsearch
• logstash

Install the mitigation from the install server by …

An important Java vulnerability is affecting the following Software Factory service:

• elasticsearch
• logstash

Install the mitigation from the install server by running these commands:

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 …