The NiCE Log File Monitor Management Pack 2.0 is a FREE solution supporting the SCOM Community in next-level log file analysis. It helps IT performance and security data analysts identify errors causing transactions and queries to take too long or not run at all. Software-related bugs, security issues, or erroneous configurations that impact website or application performance are figured out quickly by employing improved templates for alert rules, performance rules, or monitors.

Apache Cassandra is an open-source distributed NoSQL database management system that was released by Facebook almost 12 years ago. It’s designed to handle vast amounts of data, with high availability and no single point of failure. It is a wide-column store, meaning that it organizes related facts into columns. Columns are grouped into “column families.” The benefit is that you can manage data that just won’t fit on one computer.

In my previous blog post, I demonstrated how to use Prometheus and Fluentd with the Elastic Stack to monitor Kubernetes. That’s a good option if you’re already using those open source-based monitoring tools in your organization. But, if you’re new to Kubernetes monitoring, or want to take full advantage of Elastic Observability, there is an easier and more comprehensive way. In this blog, we will explore how to monitor Kubernetes the Elastic way: using Filebeat and Metricbeat.

Logz.io is proud to launch a new partnership with Microsoft that enables Azure customers to directly integrate with Logz.io’s platform from within the Azure Console. This integration importantly allows Azure developers to begin monitoring their workloads faster than ever before, using the open-source technologies that their teams love. Check out this video for a demonstration of how it works.

Development cycles are complicated. If you’re on a development team, whether you’re building out a custom application, maintaining and iterating on a growing microservice, or breaking ground on a new platform for a startup, you have your hands full. Log management, though seldom celebrated outside hardcore DevOps and IT circles, is still a well-known instrument among seasoned developers. It is insight into the internal workings of your processes as they are used.

Log centralization is kind of like brushing your teeth: everyone tells you to do it. But until you step back and think about it, you might not appreciate why doing it is so important. If you’ve ever wondered why, exactly, teams benefit from centralized logging and analysis, keep reading. This article walks through five key advantages of log centralization for IT teams and the businesses they support.

Purchase decisions often begin with a price check. Log management is no different. Evaluate your budget and narrow down the options that fit to choose the tool that gives you the most for what you pay. As always, cheaper is better as long as the platform doesn’t cut any corners. But with log management, there is a catch – not all tools are transparent with their pricing model.

In the past few years, JavaScript has evolved in several ways and has come a long way. With the evolving technology, machines are becoming more powerful, and browsers are getting more robust and compatible. In addition, Node.js’s recent development for JavaScript’s execution on servers, JavaScript has been getting more and more popular than ever before.

Many of our customers today leverage Office 365 GCC High, including organizations looking to meet evolving requirements for working with the United States Department of Defense. Sumo Logic enables customers to leverage our out-of-the-box monitoring and analytics capabilities to analyze Office 365 GCC High data to offer security engineers and security analysts stronger situational awareness of internal employee data.