Data classification can be broadly defined as the process of organizing and tagging data by categories so that collected data may be used and protected in the most efficient way possible. Sumo Logic is an analytics platform that can ingest almost any type of machine data. This data can be structured or unstructured, come in the form of event logs and messages or as time-series metrics. Once the data has been ingested into the platform, it can be leveraged for a wide variety of use cases.

With most of the world on lockdown due to the COVID-19 virus, many aspects of IT services and digital transformation have been put into the fast lane. There are reports of massive surges in the use of tools such as Zoom, Microsoft Office 365, etc. in order to communicate and collaborate. At the same time organizations are required to scale up access to their internal applications.

Businesses who operate along supply chains, like manufacturers, distributors, and retailers, have innovative systems and processes for predicting demand and keeping consumers satisfied. Until a crisis hits. When demand for essential SKUs spikes due to panic buying and fear-based hoarding, organizations in essential consumer categories can find themselves forced to make critical decisions without reliable information to base them on, significantly increasing their risk exposure.

For the majority of the first year that we worked on the Loki project, the questions and feedback seemed to come from people who were familiar with Prometheus. After all, Loki is like Prometheus – but for logs! Recently, however, we are seeing more people trying out Loki who have no Prometheus experience, and many are coming from systems with much different strategies for working with logs.

The days of logging as a mere troubleshooting mechanism are past gone. Nowadays, log management is a must. In today’s post, we’ll present you with a list of 11 log management solutions worth checking out. Let’s dig in. The first tool in our list is Splunk, which is a comprehensive utility very well-known by sysadmins. It’s available as a downloadable tool for Linux, Windows, and macOS X. A cloud version also exists, as well as a free version with limited capabilities.

At Logz.io, our team has the opportunity to partner with many cutting edge technology companies and products from different trades. Many have a crucial mission and help save lives worldwide. In the fight against the novel coronavirus, telehealth is one such sector. It compels us to do all we can to support these organizations by improving application accessibility and performance for users who need it. One of our customers epitomizes this—Tyto Care. Tyto Care is a healthcare pioneer.

In modern digital environments, logs are present everywhere. From networking devices, servers, and databases, to operating systems, cloud-based services, and applications, every component produces some form of digital records of events. These records or logs provide an audit trail for Security Information Event Management (SIEM) and help in performance monitoring of servers and applications.

We are offering a variety of on-demand Elastic training courses for free — featuring 11 titles that span observability, security, and Elastic Stack administration. If you haven’t tried one of our self-paced courses yet, now is the perfect time to find out why so many people have shifted their learning preference from in-class to online. Our on-demand courses provide the same immersive learning experience found in the classroom, but delivered in a convenient, remote environment.

Managing a network more effectively has been something our customers have been asking us about for many years, but it has become an increasingly important topic as working from home becomes the new normal across the globe. In this blog series, I thought I’d present a few analytical techniques that we have seen our customers deploy on their network data to: Better understand their network and Develop baselines for network behaviour and detect anomalies.

A difficult question we come across with many customers is ‘what does normal look like for my network?’. There are many reasons why monitoring for changes in network behaviour is important, with some great examples in this article - such as flagging potential security risks or predicting potential outages.