Telemetry Analytics & Predictive Engineering with Python

Name: Telemetry Analytics & Predictive Engineering with Python
Brand: Independently published
SKU: 9798191048475
Price: 16340 HUF
Availability: InStock

Real-Time Stream Processing, Anomaly Detection, and System Diagnostics

Szerző: Hayden Van Der Post, Alice Schwartz

Nyelv:

Kötés: Puha kötésű

Kiadó: Independently published

Elérhetőség: Beszállítói készleten

Küldés 9-13 napon belül

16 340 Ft

Reactive PublishingA high-volume telemetry pipeline is only as valuable as its ability to extract si...

Információk a könyvről

Szerző

Hayden Van Der Post, Alice Schwartz

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2026

oldal

696

EAN

9798191048475

Enbook ID

53453588

Kiadó

Independently published

Súly

827

Méretek

152 x 229 x 44

Teljes leírás

Reactive Publishing

A high-volume telemetry pipeline is only as valuable as its ability to extract signal from noise before failures cascade. Modern distributed systems generate massive streams of operational metrics, but transforming raw time-series data into predictive insights requires a rigorous combination of stream processing architecture, statistical anomaly detection, and automated diagnostics.

Telemetry Analytics & Predictive Engineering with Python provides a comprehensive, hands-on framework for building end-to-end telemetry systems capable of handling real-time data at scale. Moving beyond basic monitoring, this book demonstrates how to design data pipelines, implement real-time stream processing, and deploy predictive models directly into production environments.

What You Will Learn

Telemetry Pipeline Architecture: Design robust, low-latency ingestion systems to aggregate metrics, logs, and traces from distributed infrastructure.
Stream Processing Engines: Process continuous time-series data using Python frameworks optimized for stateful stream processing and windowed aggregation.
Advanced Anomaly Detection: Implement statistical, machine learning, and deep learning techniques to identify drift, seasonal spikes, and subtle system anomalies.
Automated System Diagnostics: Correlate telemetry streams to identify root causes and build automated diagnostic models for predictive maintenance.
Production Deployment & Resilience: Scale telemetry pipelines, optimize memory footprint, and ensure fault tolerance under high throughput.

Written for software engineers, systems architects, site reliability engineers, and data scientists, this book bridges the gap between raw data collection and actionable predictive maintenance. Master the technical foundations necessary to transition from reactive monitoring to proactive, automated system health engineering using Python.

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Telemetry Analytics & Predictive Engineering with Python

Real-Time Stream Processing, Anomaly Detection, and System Diagnostics

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták