The latest News and Information on Log Management, Log Analytics and related technologies.
Ever since humankind developed the ability to write, much of our progress has been made thanks to recording and using data. In ages long past, notes were made on the production and gathering of resources, the exact number of available soldiers and other important personnel, and were compiled and stored by hand. Because of this documentation method, important information was also prone to being misplaced, lost, or even mishandled.
I hosted a webinar where I covered why logging is important, how to choose a logging provider. And then shared our experience of setting up logging on Kubernetes containers, the Kubernetes logging framework and the logging best practices we’ve implemented internally and supported our customers who run Kubernetes in production.
Last month, we announced Logz.io Security Analytics — a security app built on top of the ELK Stack, offering out-of-the-box security features such as threat intelligence, correlation, and premade integrations and dashboards. In this article, I’d like to show an example of using both the ELK Stack and Logz.io Security Analytics to secure an AWS environment.
We recently had a presentation at Activate 2018 about entity extraction in the context of a product search. For example: how to tell, when the user typed in Activate 2018, that the intent was to run conference:Activate AND date:201
Servers take a lot of requests daily, we know that…We also know that the server responds instantly. But who makes the request? What do they want, and what exactly are they looking for? Where do these visitors come from? How often they are making a request: once a month, once a day, almost every minute? Well, answers to these, and potentially a lot more questions, can be found in a single place - the server log file.
We’re excited to announce that LogDNA’s built-in log parser offers custom parsing, now available in beta. This means you can now use our step-by-step wizard to wrangle non-standard log formats and run custom transformations on your logs, allowing you to easily search and graph log lines that were previously off limits. The best part is, it’s a simple three step process: search, extract, validate… done!
