Today, we’re proud to announce the launch and availability of our Circonus Platform, the first machine data intelligence platform built to provide enterprises with the ability to handle the rapidly increasing data volume and frequency seen in today’s global IT infrastructure and IoT deployments.
This post is Part 1 of a 2-part series about Monitoring Ephemeral Infrastructure. Part 2 will detail how Circonus uses these features to monitor our API services backed by ephemeral GCP infrastructure.
When most people think of job scheduling, they think of all different sorts of things. Container orchestration, serverless allocation, batch job running… all of these things qualify. In highly concurrent systems, it is important that you can schedule work to be done and be able to collect those results upon completion. In the world of high-performance, low-latency systems software, those jobs take on a whole different flavor.
Whether or not you’re familiar with time-series data, it has a significant impact on your life – and your business. If you aren’t using it, you’re missing out. If you are using it, you may not be getting the most out of it. First things first, let’s define time-series data. Simply stated, it’s any series of data points recorded with accompanying time stamps, usually as a sequence recorded at equally spaced intervals.
What happens when cloud-based application infrastructure slows down? Twelve years ago, I attended a meetup at the San Francisco Perl Mongers group where an engineer from Amazon introduced the Elastic Compute Cloud service (EC2). At the time, anyone involved with computing infrastructure either racked their own servers or used managed hosting where someone else took care of the pipes, power, and ping.
Seems like you can’t talk tech these days without hearing about DevOps. What is it? How does it work? And what does it mean for your business? Honestly, even the most technical folks can’t seem to agree on a single definition.
eBPF tracing is a broad and deep subject, and can be a bit daunting at first sight. However, when Brendan Gregg issued the dictum “Perhaps you’d like a new year’s resolution: learn eBPF!”, I figured it was as good a time as any to do something fun with it. Here at Circonus, we’ve talked about eBPF previously, so I had a starting point to look for an interesting problem to solve.
Circonus will soon be releasing our next generation fault detection system, faultd (fault-dee). Faultd is an internal component of our infrastructure has run alongside our existing fault detection system for several months with outputs verified for accuracy. Additionally it is in use by some of our enterprise customers who have reported no issues with faultd.
