Oracle Database has long been a mainstay of the business world. Companies use it to handle data sets backing a wide variety of complex applications, including data warehouses or OLTP systems. Oracle Database includes enterprise-friendly features that emphasize scalability, advanced partitioning, and optimized availability of data across a large, potentially disparate infrastructure, as well as real-time backup and recovery tools.
Following our comprehensive introduction to SIEM systems, we looked at the available open source SIEM platforms. In this third article in our SIEM series, we review five of the most popular commercial offerings in this space. We evaluate them by looking at their intended audience and market segment, deployment model, SIEM features (threat intelligence, reporting, etc.), and each solution’s pros and cons.
A few customers mentioned they were looking at moving away from services such as Slack for their notifications and wanted to use Microsoft Teams instead, due to the integrated nature of the Office 365 platform. It sounded like a good thing for us to offer, so we now integrate with Office 365 and Microsoft Teams.
A little over 2 years ago we opensourced Sysdig Falco with the goal of providing a robust detection engine that the community could use to securely run containers in production. Since the launch we expanded the default ruleset and have had 750,000+ downloads of Sysdig Falco. Organizations like cloud.gov and Yahoo have used Falco to detect behavioral anomalies across their containerized infrastructure.
Thomas Stocking, co-founder and vice president of product strategy, recently wrote an article titled Entering a Golden Age of Data Monitoring, featured in APM Digest. The article talks about three factors obscuring the benefits of data monitoring (the infinite volume of data, its diversity, and inconsistency), benefits of monitoring data, and the future of monitoring data—all fueling a “golden age” of systems monitoring.
BOSTON and TEL AVIV, June 13, 2018 — Logz.io, the leading provider of AI-powered log analytics, releases a specialized Docker Logging Plugin, enabling users to easily ship container logs to Logz.io. The Docker Logging Plugin was created to relieve many of the common issues developers experience when shipping container logs such as complex configuration, accidental pausing of container shipments, and potential loss of data.
First and foremost, we are human. We can’t get around it, and some things will make us anxious, frustrated, and mad. As much as we like to think we are optimists, we frequently don’t notice something until it disappoints us in some way. In this article, we will take a look at how web performance and psychology impact user satisfaction.
