The latest News and Information on Log Management, Log Analytics and related technologies.
It's been a while since I've had the opportunity to take a break, come up for air, and write a blog for some of the amazing work the Splunk Threat Research team has done. We have kept busy by shipping new detections under security-content (via Splunk ES Content Update and our API). Also, we have improved the Attack Range project to allow us to test detections described as test unit files.
Kristian Zhelyazkov is a developer at SAP working on Gardener, the SAP-driven Kubernetes-as-a-service open source project. In this guest blog post, he explains why the project is moving its logging stack to Loki.
Production environment stability and high availability are the holy grail of every SaaS company. R&D organizations put a lot of effort into achieving these goals by implementing different monitoring and alert methodologies and by utilizing a variety of systems and tools. Mean-time-to-detect (MTTD) and mean-time-to-repair (MTTR) are two crucial KPIs that help R&D management personnel determine the efficiency and proficiency of their teams’ responses to production incidents.
This article provides an overview of managing and analyzing Docker logs and explores some of the complexities that may arise when looking through the log data. We will go through the default logging approach, as well as look at some more advanced configurations that will make diagnosing issues in your Docker-hosted applications much easier going forward.
Keeping a server running optimally on a consistent basis involves managing multiple system elements simultaneously. Automated scripts and specialized software can handle the tasks your server needs to complete on a daily basis—but when one of these experiences an error, it can throw the entire system off.
Use of AI can be critical when developing systems to support social good, with some inspiring examples using Splunk in healthcare and higher education organisations. According to our State of Dark Data report, however, only 15% of organisations admit they are utilising AI solutions today due to lack of skills. So how can we help organisations unlock the potential of AI?
