Operations | Monitoring | ITSM | DevOps | Cloud

Google Cloud is growing marketplace traction with enterprise customers as an innovative, service-rich option for multi-cloud environments. The public cloud platform, known to be a developer’s favorite, has solutions by industry and comprehensive offerings in artificial intelligence, analytics, DevOps and high-performance computing among others. Today, OpsRamp announced a partnership with Google to bring hybrid discovery, monitoring, and automation to Google Cloud customers and partners.

I recently spoke with Jeremy White who is using InfluxDB to monitor his aquariums. By collecting IoT sensor data, he has been able to better understand his 200 gallon salt-water aquarium full of fish and coral. The entire project can be found on GitHub. Caitlin: Tell us about yourself and your career. Jeremy: I’m a Senior Network Automation Consultant at Network to Code, and my background is in networking engineering. Network to Code is an industry leader in network automation.

Editor’s note: This post is a collaboration between Tim Tully, Splunk CTO, and Spiros Xanthos, Splunk’s vice president of product management for observability and IT Ops and previously the founder and CEO of Omnition. My love for the open-source software movement began with Linux in the ’90s and grew during my time at Yahoo! in the early days of Hadoop.

Oh Dear allows you to monitor any kind of website, even those behind HTTP basic authentication. In this guide, we'll cover the steps on how to monitor a website behind an HTTP basic authentication prompt.

Bleemeo announces the General Availability of the new monitoring agent written in Go. This agent is the successor of the previous agent written in Python. All good aspects have been kept: Open Source, easy to deploy, and to use, available as a package for main Linux distributions: Debian/Ubuntu, CentOS/RedHat, available for Windows and available as a container.

Digital experience monitoring is only effective if incidents are detected immediately and the data aids in quick root cause analysis and resolution. To track the availability, reachability, performance, and reliability of each component in the application delivery chain, different teams within an organization, use multiple tools. Each of these tools generate huge volumes of data that can make it difficult to gain any meaningful insight or even to correlate relevant KPIs.