The Internet of Things (IoT) is a term for the ever growing number of internet connected devices that fall beyond the realm of your typical laptop, desktop computer or smartphone. Many of us already own and use IoT devices on a daily basis, these could be anything from "smart" versions of appliances like refrigerators, thermostats and coffee machines through to your expected IoT devices such as Amazon’s Alexa & Google’s home speakers.

In our latest post we’re covering a range of the different kinds of problems and threats data analysis can help protect your business from. We’ve brought together some of our favourite experts working in big data, cybersecurity and tech to shed light on some of the practical applications of using data analysis for protecting your operations.

One of the most common questions that businesses operating under GDPR, LGPD or other similar data regulations have is how long should you keep data? As answers to this question typically seem to vary widely to clear up confusion, we’ve gathered insights from business leaders & specialists across a variety of industries to try and answer this question and shed light on what are reasonable timeframes to keep hold of data, whether that may be financial, employee or other potentially sensitive data.

Most of the applications we see for the ELK stack are from businesses which want to improve their customers' experience. To return relevant search results and to create Kibana dashboards that allow them to analyse data and give the customers what they want. But there are some cases where the customer is always wrong, and where the last thing you want to do is give a site visitor what he wants. Welcome to the world of forensics, compliance and fraud detection.

There are two ways you can view the current mappings on your Logit ELK Stacks. One way is to use dev tools in Kibana. You can access Kibana from any of your dashboards by choosing from your dashboard Stack settings > Access Kibana. You can also search for a specific mapping of an Index name. For example if we wanted to see the mappings for the a Filebeat index name we can run the following to return only the desired mappings.

We're happy to announce that we have just launched our improved integration for the Azure Event Hub, allowing DevOps & Security professionals to send log data for analysis easier than ever. This announcement comes as Microsoft’s Azure Event Hub reaches its highest global popularity as a data ingestion service. The integration ensures best-in-class performance across a variety of use cases using Azure.

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

We are pleased to announce that all users can now benefit from having their stacks hosted on NVMe (Non-Volatile Memory Express) SSDs. NVMe is one of the newest high-performance networking technologies changing the landscape of scalable infrastructure and assisting in decreasing infrastructure costs on a revolutionary scale.