The vulnerability called SIGRed (CVE-2020-1350) has been around for 17 years, during which time it was present in Windows Server operating systems from version 2003 through 2019 and received a maximum severity rating of 10. It was finally patched in July 2020. As the vulnerability allows an attacker to perform remote code execution on Windows Server via DNS, it poses an extremely serious danger and can propagate over the network without user interaction.
The year 2020 upended life as we know it — yet amid worldwide shutdowns and cross-industry layoffs, the respondents to the 2020 State of DevOps survey reported an overall rise in salary levels compared to the past couple of years.
A couple months ago, during our Grafana hack days, I created my first monitoring solution: my sourdough monitoring system. It was a lot of fun to build it, and I enjoyed it a lot! So when the next Grafana hack day was approaching, I started to wonder what my next monitoring system could be. What would I like to learn more about? What would I like to get better at doing? To be honest, I didn’t have to think hard.
Large tech companies are monetizing and exploiting customer data in increasingly unpalatable ways. It’s no surprise that users are fighting back. It’s estimated between 25% and 50% of users are employing ad blockers. Unfortunately, some overzealous ad blocking tools have added TrackJS domains to their block lists. We believe the blocks are unwarranted (more below). We don’t sell or monetize our user data. Ever.
Sales engineering is becoming increasingly more important for service-based businesses. It’s time to start paying attention to the role of technical sales in your business. The truth is, without technical sales, you cannot sell. If you want to deliver solutions that meet your target market’s needs, you must bridge the gap between internal teams and customers.
An abundance of information can be daunting for any company. If internal teams do not know where the data is, it might hamper their efficiency at the cost of data quality and cleanliness. From a cost-effectiveness viewpoint, organizations are likely to waste excessively by hanging on to redundant data or storing varied data in one location irrespective of their sensitivity level.