Military strategists will often tell you that the best way to win a conflict is to prevent it by projecting an unmistakable posture of strength, preparedness and resolve. As history has shown in the seven decades since the Second World War, deterrence doesn’t come cheap, certainly not in the era of modern, technology-enabled warfare. Yet it is still far less costly in lives, dollars, and equipment than letting a hostile situation escalate out of hand.

As the business world continues to integrate AI and machine learning to better manage big data processes, one area that arguably has benefitted the most is business monitoring. From IT management to business intelligence, the last few years have seen a drastic shift in how companies are monitoring their data.

When it comes to data, let’s start with the obvious. Averages suck. As developers, we all know that percentiles are much more useful. Metrics like P90, P95, P99 give us a much better indication of how our software is performing. The challenge, historically, is how to track the underlying data and calculate the percentiles. Today I will show you how amazingly easy it is to aggregate and create SQL based percentile rollups with Postgresql and t-digest histograms!

This is a beginner’s tutorial for how to write static data in batches to InfluxDB 2.0 using these three methods. Before beginning, make sure you’ve either installed InfluxDB OSS or have registered for a free InfluxDB Cloud account. Registering for an InfluxDB Cloud account is the fastest way to get started using InfluxDB.

This is Part Two of Getting Started Tutorials for InfluxDB v2. If you’re new to InfluxDB v2, I recommend first learning about different methods for writing static data in batches to InfluxDB v2 in Part One of this Getting Started series. This is a beginner’s tutorial for how and when to write real-time data to InfluxDB v2. The repo for this tutorial is here. For this tutorial, I used Alpha Vantage’s free “Digital & Crypto Currencies Realtime” API to get the data.

In this blog, I will walk you through the process of configuring both Filebeat and Zeek (formerly known as Bro), which will enable you to perform analytics on Zeek data using Elastic Security. The default configuration for Filebeat and its modules work for many environments; however, you may find a need to customize settings specific to your environment.

We’re living history. We’ve heard it uttered in everything from news reports to conversations with loved ones. And it’s true — the tragedy and uncertainty of COVID-19 is shaping history and policy as we know it. But there’s something else newsworthy, too. Amid the pandemic, we’ve seen beacons of hope, humanity and progress. People have banded together to solve monumental problems at record pace.

The five-day period from Thanksgiving to Cyber Monday is known as the Cyber Five Weekend (also known as Cyber 5). Forbes estimates that people spent $3.7 billion on Thanksgiving Day in 2018. They approximate that over 165 million people shopped over the entire weekend. This is a 16.5% increase year over year. On Black Friday, people spent $6.2 billion online, with a 23.6% year-over-year growth.

The core responsibility of the UK's Driver and Vehicle Licensing Agency (DVLA) is to maintain more than 48 million driver records, more than 40 million vehicle records, and to collect approximately £6 billion ($7.75 billion) a year in Vehicle Excise Duty. The agency is at the forefront of public digital services, and has made significant progress in transforming its IT systems into new cloud-based platforms.