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628 articles · Page 7 of 7

Jun 26, 2017 · Artificial Intelligence

AIDevOps: Applying Artificial Intelligence to DevOps for Predictive Software Engineering

The article explores how artificial intelligence can transform DevOps by introducing predictive metrics, machine‑learning models, and intelligent automation to improve code review, defect forecasting, and overall software lifecycle management, while discussing current research, challenges, and future directions.

AIDevOpsSoftware Prediction

0 likes · 14 min read

AIDevOps: Applying Artificial Intelligence to DevOps for Predictive Software Engineering

ITPUB

Jun 9, 2017 · Operations

Mastering Effective Monitoring: From Basics to the USE Method

This article explains the fundamentals of monitoring, distinguishes traditional OPS from SRE perspectives, defines monitoring objects and metrics, introduces quantitative thinking with SLI/SLO, and presents the USE method with a MySQL example to help engineers detect and prevent failures efficiently.

OperationsSLISLO

0 likes · 10 min read

Mastering Effective Monitoring: From Basics to the USE Method

转转QA

May 23, 2017 · Backend Development

Design and Performance Optimization of a Measurement Platform with Multi‑Level Caching

This article describes the background, architecture, encountered performance bottlenecks, and a three‑level caching strategy (Redis‑based) implemented in Python to accelerate a measurement platform that aggregates bug, issue, and code metrics for a rapidly growing development team.

BackendCachingPerformance

0 likes · 17 min read

Design and Performance Optimization of a Measurement Platform with Multi‑Level Caching

Baidu Intelligent Testing

Mar 21, 2017 · Operations

Server Monitoring Solution: Requirements, Design Decisions, and Implementation Details

This article presents a comprehensive server‑side monitoring solution covering functional and performance requirements, monitoring objects, design choices between self‑monitoring and centralized reporting, system architecture, API definitions, key challenges such as key collisions, data formats, storage options, and operational considerations.

OperationsPerformancealerting

0 likes · 12 min read

Server Monitoring Solution: Requirements, Design Decisions, and Implementation Details

Efficient Ops

Mar 1, 2017 · Operations

How Metrics-Driven Development Transforms Software Iteration and Ops

Metrics‑Driven Development (MDD) extends test‑driven principles by embedding real‑time monitoring into design, enabling rapid, precise, and granular software iterations, improving early problem detection, decision support, and aligning development with DevOps culture.

Observabilitymetricsmonitoring

0 likes · 13 min read

How Metrics-Driven Development Transforms Software Iteration and Ops

Qunar Tech Salon

Feb 22, 2017 · Big Data

Understanding Ctrip Flight Ticket Tracking System (UBT) and Its Key Metrics

This article explains Ctrip's flight ticket tracking framework (UBT), detailing client‑side and server‑side event collection methods, the purpose and trade‑offs of each tracking type, metric definitions, data association challenges, common pitfalls, and best practices for reliable data‑driven analysis.

AnalyticsCtripbig data

0 likes · 20 min read

Understanding Ctrip Flight Ticket Tracking System (UBT) and Its Key Metrics

Programmer DD

Jan 15, 2017 · Backend Development

How to Add Spring Boot Actuator /health Endpoint to Legacy Spring Apps

This guide explains how to integrate Spring Boot Actuator into a traditional Spring application by manually adding required Maven dependencies, importing core Actuator configuration classes, and defining beans that expose the /health and /metrics monitoring endpoints.

ActuatorLegacy Springhealth-endpoint

0 likes · 4 min read

How to Add Spring Boot Actuator /health Endpoint to Legacy Spring Apps

Qunar Tech Salon

Dec 28, 2016 · Mobile Development

Comprehensive Guide to Mobile App Performance Testing and the ETest Tool

This article outlines mobile performance testing methods—including startup time, page response time, basic metrics, Monkey testing, and image‑recognition techniques—reviews third‑party tools, and introduces the in‑house ETest solution with its features and future development plans.

AndroidETestMobile App

0 likes · 9 min read

Comprehensive Guide to Mobile App Performance Testing and the ETest Tool

转转QA

Sep 11, 2016 · Mobile Development

Comprehensive Guide to Mobile App Performance Testing: Methods, Metrics, and Tools

This article presents a detailed overview of mobile app performance testing, covering the importance of performance metrics for video applications, the prioritized dimensions such as smoothness, crash, memory and power consumption, and practical methods and tools for acquiring Android and iOS system metrics.

AndroidPerformanceTools

0 likes · 10 min read

Comprehensive Guide to Mobile App Performance Testing: Methods, Metrics, and Tools

Efficient Ops

Aug 22, 2016 · Cloud Computing

Mastering OpenStack Monitoring: Key Metrics and Best Practices

This article explains what OpenStack is, outlines its core modules, and details the most important monitoring metrics for Nova, Neutron, Keystone, hypervisors, tenants, and RabbitMQ, helping engineers build a robust, scalable OpenStack monitoring solution.

Cloud ComputingNovaOpenStack

0 likes · 11 min read

Mastering OpenStack Monitoring: Key Metrics and Best Practices

Baidu Intelligent Testing

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.

Data AnalysisMobile AppOperations

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.

CPUJMeterLoad Testing

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.

Information RetrievalRecallevaluation

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.

Data AnalysisKPIsOperations

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.

categorizationdata collectionfeedback analysis

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.

Operationsevaluation 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.

MySQLToolsbenchmarking

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.

DevOpscross-functionalmetrics

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.

BackendCachingPerformance

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.

Operationsbashdropbox

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.

EclEmmaJDependcheckstyle

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