Operations | Monitoring | ITSM | DevOps | Cloud

All code and no logging makes your application a black box system. Similarly, all logging and no monitoring makes analyzing performance complicated and inconvenient. The goal is to achieve better visibility into the operations of your application, its status, performance, and overall health. Making this information easily accessible presents more context about the critical incidents and surfaces actionable insights for optimizing performance.

The SIEM is a central point where data is collected and correlated, and as we move to consume more cloud services and data sets the SIEM itself must also change in architecture. Architecture change is hard to make for existing products. Calling a product a ‘cloud solution’ is not the same as taking an on-premises product and hosting it for customers. It means building a new SIEM for a new world. There are a lot of reasons users seek new SIEMs.

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.

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.

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.

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.