Operations | Monitoring | ITSM | DevOps | Cloud

Cox Automotive is a global company with over 40,000 auto dealer clients across five continents. The company, which houses Kelly Blue Book, Autotrader, and 25 other brands, was built through acquisitions. Its IT Operations team is tasked with bringing them together under the Cox Automotive umbrella and ensuring “a good, consistent experience” for its customers worldwide.

Today we’re announcing the general availability of Icinga Web v2.7.6, v2.8.4 and v2.9.2. All are standard bugfix releases and include fixes found by the community since the latest releases. You can find all issues related to this release on our Roadmap. Please make sure to also check the respective upgrading section in the documentation. This release is accompanied by the minor releases v2.7.6 and v2.8.4 which include the fix for the flattened custom variables.

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.

As part of your monitoring and testing strategy, you may run tests on different types of applications that are not publicly available—from local versions of production-level websites to internal applications that directly support your employees. Testing each one requires leveraging tools that allow you to verify functionality across a wide range of devices, browsers, and workflows while maintaining a secure environment.

Datadog CI Visibility, now available in beta, provides critical visibility into your organization’s CI/CD workflows. CI Visibility complements Datadog’s turn-key CI provider integrations and the integration of synthetic tests in CI pipelines to give you deep insight into key pipeline metrics and help you identify issues with your builds and testing.

A VPN, allows remote employees to create a secure traffic connection to the corporate network. These connections essentially tunnel from a computer or mobile device through a VPN server, often through the public Internet. VPN technology has been around since the mid-1990s, but its usage is now going mainstream due to Covid. As Covid accelerates, it means new monitoring challenges for IT amid a high VPN adoption.

Traditionally an APM tool, Scout has expanded its service offerings to now include error monitoring of Python web applications for more cohesive and actionable observability insights within a single platform. This new feature supports an overall better user experience by eliminating the need for multiple web-application monitoring services; Scout APM with Scout Error Monitoring offers performance and error insight and alerting within a single, integrated dashboard.