Distributed Monitoring

Python Programming Learning Circle

Mar 3, 2025 · Backend Development

ProgressPal: A Python Progress Tracker for Functions, Iterables, and Logs with Distributed and Parallel Support

ProgressPal is a Python library that extends tqdm‑style progress bars to track functions, iterables, and log messages across threads, processes, and distributed systems, offering a web‑based dashboard, logging server, and easy integration with threading, concurrent.futures, and joblib for collaborative monitoring.

Distributed MonitoringPythonlogging

0 likes · 7 min read

ProgressPal: A Python Progress Tracker for Functions, Iterables, and Logs with Distributed and Parallel Support

vivo Internet Technology

Feb 16, 2022 · Operations

Vivo Server Monitoring System Architecture and Evolution: A Comprehensive Technical Guide

Vivo’s vmonitor system replaces its legacy RabbitMQ‑based pipeline with an HTTP‑driven collector and gateway, stores minute‑level JVM, system, and business metrics in a customized OpenTSDB on HBase, adds precise floating‑point handling and null‑aware aggregation, buffers data in Redis, and provides multi‑dimensional alerts comparable to Zabbix, Open‑Falcon, and Prometheus.

Distributed MonitoringHBaseJVM monitoring

0 likes · 18 min read

Vivo Server Monitoring System Architecture and Evolution: A Comprehensive Technical Guide

Tencent Cloud Developer

Oct 29, 2020 · Cloud Computing

Distributed Atmospheric Monitoring System – Cloud Architecture, Module Implementation, and Cost Analysis

The paper describes Tencent’s community‑driven distributed atmospheric monitoring platform, detailing its multi‑layer cloud architecture, data ingestion and aggregation modules built with API Gateway, Serverless Functions, MySQL, and Cloud Map, and compares Phase II and Phase III operational costs while outlining future enhancements.

Cloud ArchitectureDistributed MonitoringIoT

0 likes · 11 min read

Distributed Atmospheric Monitoring System – Cloud Architecture, Module Implementation, and Cost Analysis

JD Tech

Apr 17, 2018 · Operations

Overwatch: A Distributed Real‑Time RPC Monitoring Platform for System Observability

The article describes Overwatch, a distributed monitoring system developed by Dada‑JD Daojia that collects, aggregates, and visualizes RPC traffic in real time using consumer‑side agents, Kafka, Storm, and a Node.js CQRS architecture, enabling engineers to quickly locate and resolve service failures.

CQRSDistributed MonitoringKafka

0 likes · 8 min read

Overwatch: A Distributed Real‑Time RPC Monitoring Platform for System Observability

Efficient Ops

Nov 22, 2015 · Operations

Master Celery for Scalable Distributed Monitoring and Alert Strategies

This article introduces Celery's architecture, its integration with the OWL monitoring system, explains workers, brokers, result handling, and presents three practical alerting strategies—fixed thresholds, dynamic floating limits, and period‑over‑period comparisons—to build an efficient, automated operations platform.

CeleryDistributed MonitoringPython

0 likes · 10 min read

Master Celery for Scalable Distributed Monitoring and Alert Strategies