Machine Data Intelligence Insights
Read our latest posts to gain insights into all things related to machine data intelligence, time series data, infrastructure monitoring, and IoT from the experts at Circonus
The Problem with Percentiles – Aggregation brings Aggravation
Percentiles have become one of the primary service level indicators to represent real systems monitoring performance. When used correctly, they provide a robust metric that can be used for base-of-mission…
A Guide to Service Level Objectives, Part 3: Quantifying Your SLOs
A guide to the importance of, and techniques for, accurately quantifying your Service Level Objectives. This is the third in a multi-part series about Service Level Objectives. The first part…
Quantifying WordPress Performance Improvements with circonus-logwatch
Deriving meaningful insights from third-party logs has always been a difficult yet necessary task. Most analysis occurs after-the-fact, when something has gone wrong. Very few tools allow real-time monitoring of…
A Guide To Service Level Objectives, Part 2: It All Adds Up
A simple primer on the complicated statistical analysis behind setting your Service Level Objectives. This is the second in a multi-part series about Service Level Objectives. The first part can…
Latency SLOs Done Right
In their excellent SLO-workshop at SRECon2018 (program) Liz Fong-Jones, Kristina Bennett and Stephen Thorne (Google) presented some best practice examples for Latency SLI/SLOs. At Circonus we care deeply about measuring latency and…
TSDBs at Scale – Part Two
This is the second half of a two-part series focusing on the challenges of Time Series Databases (TSDBs) at scale. This half focuses on the challenges of balancing read vs.…
