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 […]
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 […]
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 […]
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 […]
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 […]
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. […]
