Tagged articles

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618 articles · Page 7 of 7

Aug 18, 2016 · Mobile Development

Establishing an Effective Mobile App Quality Monitoring System: Standards, Metrics, and Data Utilization

This article explains how to build a comprehensive mobile app quality monitoring framework by defining quality standards, setting capability indicators, and leveraging data acquisition, analysis, and visualization to continuously improve product reliability and user experience across different development stages.

Mobile AppQuality Monitoringdata analysis

0 likes · 11 min read

Establishing an Effective Mobile App Quality Monitoring System: Standards, Metrics, and Data Utilization

dbaplus Community

Aug 3, 2016 · Operations

How to Thoroughly Benchmark Backend Services: Key Metrics and Practical Steps

This article explains which external and internal performance metrics matter for backend services, how to interpret them, common bottlenecks, and provides a step‑by‑step example using JMeter to measure throughput, latency, CPU, memory, load, network and disk I/O.

CPUbackend servicesjmeter

0 likes · 16 min read

How to Thoroughly Benchmark Backend Services: Key Metrics and Practical Steps

ITPUB

Jun 25, 2016 · Operations

Inside Qunar’s Watcher: Building a Scalable Monitoring System for Millions of Metrics

The article details how Qunar’s operations team designed and implemented the Watcher monitoring platform—based on Graphite, Grafana, and Nagios—to achieve high availability, horizontal scalability, and rich visualization for over six million system metrics and two million business metrics.

GrafanaGraphiteNagios

0 likes · 10 min read

Inside Qunar’s Watcher: Building a Scalable Monitoring System for Millions of Metrics

Baidu Intelligent Testing

Jun 8, 2016 · Fundamentals

Evaluation Framework for Search Retrieval Systems: Speed, Relevance, Recall, and Freshness

The article introduces a four‑dimensional evaluation framework for retrieval systems—Fast, Accurate, Complete, and New—explaining how each metric is measured, why it matters to users, and how crowdsourced testing across devices and networks can provide objective quality assessments.

evaluationfreshnessinformation retrieval

0 likes · 6 min read

Evaluation Framework for Search Retrieval Systems: Speed, Relevance, Recall, and Freshness

Baidu Intelligent Testing

May 18, 2016 · Operations

Engineering Approach to Resource Evaluation for Online Appointment Platforms

This article presents a systematic methodology for evaluating the full‑stack resource data of online appointment services, using Baidu Doctor as a case study, and details the three‑step process of data capture, parsing, and metric calculation together with tool selection, code examples, and strategy formulas.

metricsonline appointmentproduct analysis

0 likes · 11 min read

Engineering Approach to Resource Evaluation for Online Appointment Platforms

dbaplus Community

May 11, 2016 · Operations

Inside Twitter’s Massive Monitoring Stack: Architecture, Metrics, and Lessons Learned

Twitter’s internal monitoring team built a full‑stack observability platform that handles billions of metric writes per minute, supports distributed tracing, log aggregation, visual dashboards, and alerting across data centers and public clouds, and shares the architecture, components, and key lessons learned.

ObservabilityTwitteralerting

0 likes · 18 min read

Inside Twitter’s Massive Monitoring Stack: Architecture, Metrics, and Lessons Learned

Baidu Intelligent Testing

Apr 14, 2016 · Operations

Choosing and Analyzing Operational Metrics for Product Success

The article explains why operators should start from clear goals rather than events, defines meaningful metrics such as user retention and API call volume, shows how to break down and evaluate these metrics, and offers practical advice on data collection, benchmarking, and continuous improvement.

KPIsProduct ManagementUser Retention

0 likes · 6 min read

Choosing and Analyzing Operational Metrics for Product Success

Baidu Intelligent Testing

Apr 12, 2016 · Product Management

User Feedback Analysis: Methods, Process, and Core Metrics

This article explains what user feedback is, why it should be analyzed, and provides a step‑by‑step methodology—including channel setup, data collection, coding, categorization, and statistical analysis—along with key performance indicators for monitoring feedback handling in product management.

Data CollectionProduct Managementcategorization

0 likes · 8 min read

User Feedback Analysis: Methods, Process, and Core Metrics

Baidu Intelligent Testing

Mar 15, 2016 · Operations

Establishing an Operations Evaluation Model: Steps, Metrics, and Key Considerations

This article explains how to build an operations evaluation model within a quality competitiveness framework, detailing a three‑step process for defining metrics, evaluation methods, and quantification, and highlighting essential evaluation points, attention areas, and data collection practices for product operations.

Product Managementevaluation modelmetrics

0 likes · 8 min read

Establishing an Operations Evaluation Model: Steps, Metrics, and Key Considerations

21CTO

Dec 18, 2015 · Operations

7 Essential Java Performance Metrics to Monitor After a Major Release

After a major release, this article explains the most important Java performance metrics—response time, throughput, average load, error rate, GC pauses, business KPIs, uptime and log volume—and recommends tools to monitor them without relying on raw log files.

APMbackendmetrics

0 likes · 12 min read

7 Essential Java Performance Metrics to Monitor After a Major Release

dbaplus Community

Dec 11, 2015 · Databases

Master MySQL Performance Testing: Methodology, Metrics, and Tool Guide

This article presents a comprehensive overview of MySQL performance testing, covering testing methodology, reasons for testing, influencing factors across DB, OS, and storage layers, key metrics, popular open‑source tools, practical considerations, and suggestions for more automated testing solutions.

MySQLbenchmarkingmetrics

0 likes · 14 min read

Master MySQL Performance Testing: Methodology, Metrics, and Tool Guide

MaGe Linux Operations

Oct 20, 2015 · Operations

Key Qualities of High‑Performing DevOps Teams Revealed

Based on the 2015 DevOps State Report, this article translates and analyzes the key qualities of high‑performing DevOps teams, highlighting metrics such as deployment frequency, speed, failure recovery, gender gaps, cross‑functional responsibilities, non‑blame culture, experimental mindset, useful metrics, and full commitment.

DevOpsSoftware Deliverycross-functional

0 likes · 7 min read

Key Qualities of High‑Performing DevOps Teams Revealed

Java High-Performance Architecture

Oct 16, 2015 · Databases

Master MySQL Query Cache: Metrics, Commands, and Optimization Tips

This guide explains how to monitor MySQL's Query Cache using the 'SHOW GLOBAL STATUS' command, interprets key metrics such as Qcache_hits, Qcache_inserts, and Qcache_free_memory, and shows how to assess cache fragmentation and calculate hit rates for performance tuning.

MySQLQuery Cachedatabase optimization

0 likes · 3 min read

Master MySQL Query Cache: Metrics, Commands, and Optimization Tips

Efficient Ops

Oct 13, 2015 · Operations

Boosting IT Operations Performance: Lean Metrics, CI/CD, and Smart Automation

The article explores how focusing on IT performance through lean principles, precise throughput and latency metrics, continuous integration, trust between development and operations, visualization, and end‑to‑end monitoring can transform operations teams into high‑speed, value‑driven service providers.

IT performanceLean Operationscontinuous integration

0 likes · 11 min read

Boosting IT Operations Performance: Lean Metrics, CI/CD, and Smart Automation

21CTO

Oct 13, 2015 · Backend Development

Boost Large-Scale Website Performance: Key Paths, Caching, and Metrics Explained

This article examines website performance by breaking down the user request journey into three paths—client, network, and server—offering practical optimization techniques such as DNS prefetch, caching strategies, CDN deployment, and outlining essential metrics like response time, concurrency, and throughput.

Performancebackendcaching

0 likes · 13 min read

Boost Large-Scale Website Performance: Key Paths, Caching, and Metrics Explained

Art of Distributed System Architecture Design

May 8, 2015 · Operations

Scalable System Design Best Practices – Lessons from Dropbox Operations

Dropbox operations engineer Rajiv shares practical scalability design techniques, including load‑testing, app‑specific metrics, Bash analytics, log management, UTC usage, and the reliable technology stack that enables a service with 40 million users to run with a very small operations team.

bashdropboxmetrics

0 likes · 8 min read

Scalable System Design Best Practices – Lessons from Dropbox Operations

Qunar Tech Salon

Feb 26, 2015 · Fundamentals

Overview of Code Quality and Using Eclipse Plugins for Static Analysis

This article introduces five key aspects of Java code quality—coding standards, duplicate code, test coverage, dependency analysis, and complexity analysis—and demonstrates how Eclipse plugins such as CheckStyle, PMD, EclEmma, JDepend, and Metrics can be configured and used to assess and improve each aspect.

EclEmmaJDependStatic Analysis

0 likes · 11 min read

Overview of Code Quality and Using Eclipse Plugins for Static Analysis

Suning Design

Feb 3, 2015 · Product Management

How to Quantify User Experience: Key UX KPI Metrics Explained

This article explains why and how to quantify user experience using UX KPIs, detailing both quantitative and qualitative metrics such as task success rate, task time, search/navigation usage, error rate, and the System Usability Scale (SUS).

KPIUXmetrics

0 likes · 9 min read

How to Quantify User Experience: Key UX KPI Metrics Explained