The Blog. From Circonus
Our Values
Values Create Value In the tech industry, you read more blog posts on product features than you do on core values. At Circonus, we see them as inextricably linked – values create value – which is exactly what positions us to deliver results for our customers. Values...
High Volume Ingest
Like it or not, high-volume time series databases face one relentless challenge: ingestion. Unlike many other databases, TSDBs tend to record things that have already happened. Records are inserted with "past time stamps" (even if they're often just a few milliseconds...
UI Redesign FAQ
Today, the Circonus team is releasing the first round of our new User Interface changes. Since we started developing Circonus 7 years ago, we’ve worked with many customers in different spaces with different needs. Our team talked with many engineers about how they...
Metrics from Custom Apps…Easy!
Many developers are looking for a platform to which they can send arbitrary data from their custom applications to collect and visualize those metrics, as well as alert on specific thresholds. With Circonus's ability to accept and parse raw JSON, it's easy to send...
Video: Architecture of a Distributed Analytics/Storage Engine for Massive Time-Series Data
The numerical analysis of time-series data isn't new. The scale of today's problems is. With millions of concurrent data streams, some of which run at 1MM samples per second, the challenge of storing the data and making it continuously available for analysis is a...
The Problem with Math: Why Your Monitoring Solution is Wrong
Math is perfect – the most perfect thing in the world. The problem with math is that it is perpetrated by us imperfect humans. Circonus has long aimed to bring deep numerical analysis to business telemetry data. That may sound like a lot of mumbo-jumbo, but it really...
Wrangling Elephants in the Cloud
Yonah Russ is a hands-on Technology Executive, System Architect, and Performance Engineer. He is founder of DonateMyFee. You can read more articles by Yonah on LinkedIn where you will also find the original version of this post. You know the elephant in the room, the...
Underneath Clean Data: Avoiding Rot
When many people talk about clean data, they are referring to data that was collected in a controlled and rigorous process where bad inputs are avoided. Dirty data has samples outside of the intended collection set or values for certain fields that may be mixed up...
Our Monitoring Tools are Lying to Us
I posted the article below to LinkedIn a few weeks back. Since it was relatively popular and relevant to the Circonus community we decided to repost to our Blog. You can find the original here. I came across this vendor blog post today extolling the virtues of...