By Mike Melanson
When we first spoke to logging management company LogDNA in 2016, the company was just pivoting from e-commerce to logging, with a focus on making logging more predictive with machine learning. Nowadays, LogDNA has turned its eye toward logging for Kubernetes on “any infrastructure, any architecture, any language.” To speed things along, this week the company has launched a number of performance and usability updates, most notably the move to writing the agents in Rust, rather than using a Node.js/JavaScript approach. The new feature set helps developers to more easily query, filter and gain insight from their log data and more quickly troubleshoot and fix problems, the company said in a statement. Peter Cho, vice president of product management at LogDNA, explained that machine learning simply wasn’t the core problem that needed to be tackled. Instead, providing logging at scale for Kubernetes was a much more pressing issue.
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