As part of our mission to improve operator experiences, we’re pleased to announce Bonsai, the Sensu asset index! Bonsai makes discovering and sharing Sensu solutions easier than ever before, and already includes popular integrations like the Sensu Slack, InfluxDB, and PagerDuty handlers.
Wherever you’re at in your monitoring journey, you’ve probably used Nagios at one time or another. Love it or hate it, a legacy tool like Nagios played a critical role in establishing monitoring as a practice and helped train a generation of operators who required visibility into system dependencies and performance.
In case you missed it, Sensu Go became generally available in December 2018, and commercial support for Sensu Go became generally available just last month. With these major milestones now in our rearview mirror, it's time to help our customers reach their own milestones of migrating from Sensu to Sensu Go.
Even if you haven't heard of data described as a "time-series," you've probably seen examples out in the wild. As the name suggests, a time-series is a representation of an event over a period of time. That could mean representing many different changes: your application usage data, such as error rates over time or the growing number of activations per day.
I recently gave a talk at GrafanaCon LA, which was heavily inspired by my blog post on check output metric extraction. During the talk, I dove into a popular monitoring use case with Sensu, InfluxDB, and Grafana — let’s call it the SIG stack . While I got to share some awesome features in Sensu that ultimately allow users to collect, store, and visualize their metrics, the conference was about Grafana, and folks wanted to see dashboards!
We’re thrilled to announce that the latest release of Sensu Go — version 5.2 — is available today! Sensu Go empowers you to automate your monitoring workflows, offering a comprehensive monitoring solution for your infrastructure, applications, and connected devices. Sensu Go is a massive improvement over the original Sensu (version 1.x), with an emphasis on ease of use and quick time to value.
In part 1 of this series, I discussed the rise of microservice architecture and the reliance on Kubernetes and Docker for container orchestration and management. I also shared some of the challenges these new technologies present and what sources of data we need in order to effectively monitor our Kubernetes environments.
As a followup to my previous post, I’d like to walk you through using the Sensu Go sandbox to test upgrading different parts of the event pipeline from Sensu 1.x to Sensu Go. First up we have a Sensu 1.x check configuration using the check_ssh command from Nagios Plugins. This walkthrough can be used as a pattern for converting existing Sensu 1.x check configurations into Sensu Go.
Now that Sensu Go is out, I thought this would be a great time to circle back and follow up on the Sensu Summit 2018 breakout session concerning Sensu 1.x to Sensu Go workload migration challenges. That session had some great feedback from Sensu users; we’ve been heads down over the past few months putting the pieces together to make it easier to move your existing workloads when you upgrade to Sensu Go and keep your existing Sensu Plugins working while you transition.
Our industry has long been relying on microservice-based architecture to deliver software faster and safer. The advent and ubiquity of microservices naturally paved the way for container technology, empowering us to rethink how we build and deploy our applications. Docker exploded onto the scene in 2013, and, for companies focusing on modernizing their infrastructure and cloud migration, a tool like Docker is critical to shipping applications quickly, at scale.
