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

Traditionally, DBAs are the ones primarily tasked with maintaining high availability and peak performance of the database environment. Therefore, they assume the responsibility of evaluating Performance Monitoring solutions. This requires identifying the diagnostics needs specific to the environment. With the *DevOps workflow becoming more popular, DBAs and Developers are finding it to be mutually beneficial to find efficient ways to proactively address database performance.

As a Serverless computing service, Lambda already saves hundreds of thousands of dollars for many companies out there. While traditional server-based infrastructures usually lead to overprovisioning and waste, the Serverless pay-per-use model enables cost-effective cloud spending. Nevertheless, there are still more cost-saving opportunities that many development teams miss on AWS Lambda. Optimizing Lambda functions can be time-consuming, though.

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.