Quantified self: overview & quick links
An exploration of the quantified self movement, detailing personal data tracking categories like health, work, and media for self-improvement.
An exploration of the quantified self movement, detailing personal data tracking categories like health, work, and media for self-improvement.
A critique of how 'observability' is often incorrectly defined as just metrics, logs, and traces, explaining its true meaning from control theory.
A developer's monthly progress report on side projects, including user growth for What Got Done and renewed interest in Zestful.
Explains why focusing on median or average performance metrics is misleading and advocates for analyzing the long-tail of data to improve user experience.
A PyCon US 2018 talk on Python application monitoring basics, covering terminology, metrics, and integration using pandas.
Explores solutions for monitoring multi-process Python applications with Prometheus, addressing metric inconsistency across workers.
An overview of Prometheus for application metrics, covering its architecture, query language, and monitoring philosophy.
A presentation explaining the 'Speed Index' web performance metric, including a video and slides from a conference talk.
A guide to moving beyond basic grep for Python application monitoring, covering error logging with Sentry and metrics collection with tools like Prometheus.
A guide to setting up and testing Statsd and Graphite for custom application metrics and data visualization.
Explores the human side of DevOps, emphasizing culture, collaboration, and emotional intelligence as key pillars for breaking down silos and achieving continuous delivery.
Explores different metrics for web performance budgets, comparing milestone timings, SpeedIndex, quantity-based, and rule-based approaches.
Explains how to access and gather CPU, memory, I/O, and network usage metrics from Linux control groups (cgroups) for LXC and Docker containers.
A beginner's guide to attribution modeling for web products, explaining how to give credit to marketing channels for conversions.
Discusses the shift from chasing website visitor numbers to focusing on deeper user engagement and content contribution in a saturated web.