2d ago · 11 min read · Your factory floor has 10,000 sensors generating temperature, humidity, and pressure readings every second. That is 600,000 data points per minute flowing into your system. A traditional batch pipeline processes this data on an hourly schedule, meani...
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Mar 9 · 14 min read · TLDR: Elasticsearch is built for search — full-text log queries, fuzzy matching, and relevance ranking via an inverted index. InfluxDB and Prometheus are built for metrics — numeric time series with aggressive compression. Picking the wrong one waste...
Join discussionFeb 22 · 2 min read · Justin Norman, a machine learning engineer, faced a common industry dilemma: how to showcase the impressive projects he built during previous roles when the code is owned by employers and often outdated. His solution? Rebuild them from scratch using ...
Join discussionFeb 12 · 8 min read · Why Traditional Compression Approaches Fail at Scale Standard PostgreSQL table compression using TOAST or filesystem-level compression provides minimal benefits for time-series workloads. TOAST compression operates row-by-row, missing opportunities t...
Join discussionJan 22 · 5 min read · The Motivation: Why Motion Intelligence? Every day, our smartphones capture a silent symphony of data through accelerometers and gyroscopes. This data is the key to unlocking innovations in elderly healthcare (fall detection), industrial ergonomics, ...
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Dec 10, 2025 · 8 min read · Bienvenidos de nuevo a "El Puente al Machine Learning". En el Capítulo 1, hicimos algo fundamental: conectamos los cables. Descargamos 609 registros históricos del Portal de Datos Abiertos del BCIE, los limpiamos y descubrimos una verdad contraintuit...
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Nov 11, 2025 · 10 min read · I. Introduction 1.1 Background Story Food prices in my country became unpredictable—one month affordable, the next suddenly rising. I realized this was a global issue driven by inflation, supply chain shocks, conflicts, and climate factors, yet there...
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Oct 9, 2025 · 18 min read · The modern backend landscape, characterized by distributed systems, microservices, and serverless architectures, has fundamentally reshaped our approach to monitoring. Gone are the days when a simple top command on a single server or a few aggregated...
Join discussionJul 27, 2025 · 2 min read · I recently worked on a dataset tracking daily bike rentals over time — a perfect use case to test out how Python visualizations can turn raw time series into readable insights. The project started with chaos: jagged lines, unreadable axes, and unclea...
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