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Logging

The latest News and Information on Log Management, Log Analytics and related technologies.

Splunk Security Essentials 3.1: Enhanced MITRE ATT&CK Matrix: Find the Content that Matters the Most to You, Faster

One of the great things about developing for Splunk Security Essentials is that most of the features and capabilities are requested from customers and the security community. In this latest release (3.1), we added a feature that has been requested frequently: the ability to filter the ATT&CK Matrix for Cloud and SaaS Techniques. The MITRE ATT&CK Framework consists of multiple matrices such as Enterprise, Mobile, and ICS.

What's New in the Splunk Machine Learning Toolkit 5.2?

We're excited to announce that the Splunk Machine Learning Toolkit (MLTK) version 5.2 is available for download today on Splunkbase! Earlier this month, I discussed how the release of version 5.2 will make machine learning more accessible to more users. Splunk’s MLTK lets our customers apply machine learning to the data they're already capturing in Splunk, develop models, and operationalize these algorithms to glean new insights and make more informed decisions.

The Cost of Building an In-House Monitoring Solution for Metrics

Computing environments are constantly changing. Back when an on-premises server hosted your work, your infrastructure and applications were easy to track. Now that you’re developing in the cloud, things are more challenging. You’re learning that each team within your organization uses a different monitoring tool. At this point, you may be wondering if it’s time to build your own monitoring solution with open source tools at its core that everyone can use.

Python Logging - The Ultimate Guide

This guide is focused on how to log in Python using the built-in support for logging. It introduces various concepts that are relevant to understanding Python logging, discusses the corresponding logging APIs in Python and how to use them, and presents best practices and performance considerations for using these APIs.

5 Reasons Why You Should Invest in a Docker Logging Tool

Today, continuous development and continuous delivery have become the de facto mode of application development for businesses seeking higher agility. With the continuous push to achieve higher efficiency and reliability in running software operations, container technologies like Docker, Kubernetes, and Mesos have become mainstream. Among these technologies, Docker is the most popular.

Applying AIOps to Logs Is Key for Observability

Logging is an essential method to understanding what’s happening in your environment. Logs help developers and system administrators understand where and when things have gone wrong. Ideally, logs on their own would suffice as indicators of what’s happening. However, there’s far too many log messages being produced in today’s world and most don’t contain the information we actually need.

Webinar: Logging Best Practices in the CI/CD Era

With the overabundance of log data available today, it’s easy to simply limit logging events. However, this pattern overlooks the latent value in your log data. To be proactive, rather than reactive. Utilizing experience serving 1,000+ customers worldwide, Ariel Assaraf, CEO of Coralogix, will show you how to transform your logs into a treasure trove of opportunities for improving business decisions and anticipating operational problems before they happen.

Elastic's Guide to Data Visualization in Kibana

Practitioners the field of data visualizations often talk about 2 types of visualizations: exploratory vs explanatory. To quote Google definitions, “Exploratory data visualizations (EDVs) are the type of visualizations you assemble when you do not have a clue about what information lies within your data. Nov 19, 2018” Explanatory visualization, by contrast, is defined as “what happens when you have something specific you want to show an audience” (Storytelling with data blog, April 2014)