Netdata is made up from agile teams who are deeply committed to improving the usability of our product. We want to respond to our users and introduce in-demand features. Working directly with our community is the best way to make Netdata better. But we face the same the dilemma as all agile teams: How do we do this safely?
Surely you know what a backup is, right? It is what we could also call a “safety copy“. Free backups are precisely that, softwares through which you can create backup copies of your data, to save them on drives such as external hard drives, flash drives, network devices and others. What are they for? Simply put, to restore the original information that you had, of course, after having lost it by accident in some misfortune or careless incident.
We recently launched Elastic Security, combining the threat hunting and analytics tools from Elastic SIEM with the prevention and response features of Elastic Endpoint Security. This combined solution focuses on detecting and flexibly responding to security threats, with machine learning providing core capabilities for real-time protections, detections, and interactive hunting. But why are machine learning tools so important in information security? How is machine learning being applied?
Back on September 4th, we filed a lawsuit against floragunn GmbH, the makers of Search Guard, a security plugin for Elasticsearch and Kibana, for a multi-year pattern of copying our proprietary code. After filing the claim, we have continued to investigate floragunn’s actions. Today, we have updated our lawsuit in two important ways. First, we have identified additional copying by floragunn with respect to the separate, proprietary code base for our Kibana product.
If you’re handling sensitive information, dealing with data loss can be more than just a headache. Log management tools such as Graylog can enhance your incident response and management strategies, and help you mitigate the damage when a breach occurs in your database. Minimizing data loss with a fast and scalable logging solution is key if you want to bring your cybersecurity to the next level.
“What is MTTF?” That’s the question we’ll answer with today’s post. Yep, the article’s title makes it evident that the acronym stands for “mean time to failure.” But that, on its own, doesn’t say anything. What does “mean time to failure” actually mean? Why should you care? That’s what today’s post covers in detail.
We’re continuing our expansion into Native and Mobile by adding NDK support to our Android libraries so you’ll be able to trace bugs all the way into native libraries. At the same time we’ve brought the Android SDK into our unified API framework.