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Aug 16, 2019   |  By Charlie Fiskeaux II
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.
Apr 11, 2019   |  By Theo Schlossnagle
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.
Apr 8, 2019   |  By Bryan Turriff
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.
Apr 2, 2019   |  By Fred Moyer
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.
Feb 1, 2019   |  By Kevin Kamel
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.
May 20, 2019   |  By Circonus
Understand the behavior of your systems with the Circonus monitoring and analytics platform, powered by histograms.
May 8, 2018   |  By Circonus
In this talk, we take a look at both log-linear and cumulative histograms and how they provide advantages over storing data as quantiles, averages, and other histogram implementations, such as linear and fixed-bucket.
Apr 17, 2018   |  By Circonus
IRONdb, the scalable, fault-tolerant Time Series Database, now has a new Grafana Datasource Plugin.
Apr 17, 2018   |  By Circonus
IRONdb is a durable, fault-tolerant Time Series Database, now with a Grafana Datasource Plugin. IRONdb is highly scalable, enabling you to reduce your hardware infrastructure by 50%.
Apr 17, 2018   |  By Circonus
IRONdb is the scalable, durable TSDB, now with a Grafana Datasource plugin. Unlock the power of Grafana's heatmaps and histograms.