Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to part two of a three-part series on trend analysis of log event data. Today, we will explore how to perform, using Graylog, a few of the types of trend analysis discussed previously.

As product managers, you’re ultimately the one held responsible for the entire product. So the last thing you want to assume is that someone else has got monitoring and alerts covered. In the first days of a release, all eyes are on the new product or latest feature. Just a few months later, when you introduce a brand new feature, the old one might break in the process. At times like these, you want to be ahead of your users, and not hear from your users that something isn’t working.

BOSTON and TEL AVIV, June 13, 2018 — Logz.io, the leading provider of AI-powered log analytics, releases a specialized Docker Logging Plugin, enabling users to easily ship container logs to Logz.io. The Docker Logging Plugin was created to relieve many of the common issues developers experience when shipping container logs such as complex configuration, accidental pausing of container shipments, and potential loss of data.

Why could a spike itself not always be good news? Why is it so important to find the relationships between time series metrics at scale?

This article explores integrating Google Pub/Sub with the world’s most popular open source log analysis platform — the ELK Stack, for deeper analysis and investigation.

The Linux Audit framework is a kernel feature (paired with userspace tools) that can log system calls. For example, opening a file, killing a process or creating a network connection. These audit logs can be used to monitor systems for suspicious activity.