Data visualisations allow users to organise and present log data in a practical, usable, and sensible manner. This tool in log management ensures that the data collected communicates real-time, actionable insights that will support timely and informed decision-making. Knowing which types of visualisation best suits a particular data set is critical in giving data visualisation optimal business value. Here is how to pick the right type of log data visualisation. Pie charts

Ten years ago NewRelic, DataDog, Splunk, Dynatrace and SolarWinds built tools we loved to use. They were easy to implement and solved problems quickly and efficiently. Each company was known primarily for a single, well-conceived product. NewRelic’s APM. Splunk’s log file analyzer. DataDog’s server monitor. SolarWinds’ network performance monitor. These companies were beloved by users during the 2000s. Fast forward to 2020 and the world is very different.

GrafanaCONline wrapped up last Friday, and we were thrilled to have so many of you join the sessions over the past three weeks. Thank you for tuning in, asking questions, chatting on Slack, and generally making our reimagined conference a success.

At LogicMonitor, we deal primarily with large quantities of time series data. Customer devices are monitored at regular intervals and data points are provided to our agentless application to be processed and interpreted. Recently, we’ve endeavored to expand the presence of machine learning in our application to enhance anomaly detection.