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Kujiale Project Management
Kujiale Project Management
May 11, 2021 · R&D Management

How We Overcame R&D Efficiency Measurement Challenges in Agile Teams

This article shares how a large SaaS company tackled the difficulty of defining and adopting R&D efficiency metrics in agile squads by strengthening awareness, boosting participation, establishing clear standards, and using data‑driven feedback to achieve measurable improvements in delivery speed and quality.

Continuous ImprovementMetricsR&D efficiency
0 likes · 10 min read
How We Overcame R&D Efficiency Measurement Challenges in Agile Teams
DevOps
DevOps
Apr 27, 2021 · R&D Management

A Comprehensive Framework for Measuring R&D Performance: Design Principles, Metric Types, and Indicator Calculations

This article presents a detailed R&D performance measurement framework that outlines five design principles, three categories of metrics, and concrete calculations for indicators such as demand lead time, defect ratios, availability, throughput, and flow efficiency, helping organizations balance speed, quality, and sustainability.

KPIsManagementMetrics
0 likes · 20 min read
A Comprehensive Framework for Measuring R&D Performance: Design Principles, Metric Types, and Indicator Calculations
Java Architecture Diary
Java Architecture Diary
Apr 25, 2021 · Backend Development

What’s New in Spring Boot 2.5? Key Features and Changes Explained

Spring Boot 2.5 introduces secure info endpoints, graceful shutdown via GET, shutdown logging, a new Quartz actuator endpoint, layered WAR support, Buildpack image building, environment variable prefixes, enhanced metrics, HTTP/2 over TCP (h2c), and several datasource improvements, all aimed at smoother microservice development.

ActuatorBackendDocker
0 likes · 7 min read
What’s New in Spring Boot 2.5? Key Features and Changes Explained
Alibaba Cloud Native
Alibaba Cloud Native
Mar 31, 2021 · Operations

What Is OpenTelemetry? A Deep Dive into Its Architecture, History, and Go Demo

OpenTelemetry, a CNCF observability project, standardizes telemetry data models, collection, processing, and export, offering vendor‑agnostic APIs, SDKs, and a configurable collector; the article explains its problem domain, solution components, history, future outlook, and provides a practical Go demo with code and configuration examples.

CNCFCollectorGo
0 likes · 11 min read
What Is OpenTelemetry? A Deep Dive into Its Architecture, History, and Go Demo
DataFunTalk
DataFunTalk
Mar 18, 2021 · Fundamentals

Building Popper: Tubi’s Scalable Experimentation Platform

Tubi’s Popper platform combines a Scala‑based experiment engine, reproducible JSON‑stored configurations, a React UI, and data pipelines using Spark and Akka to enable fast, cross‑team A/B testing, automated analysis, health checks, and data‑driven decision making across mobile and OTT services.

A/B testingAkkaExperimentation platform
0 likes · 15 min read
Building Popper: Tubi’s Scalable Experimentation Platform
21CTO
21CTO
Mar 2, 2021 · Big Data

How Suning’s Data Platform Unifies OLAP, Metrics, Visualization & Reporting

Suning’s Data Middle Platform integrates an accelerated OLAP engine, a star‑schema metric system, a visualization tool built on standardized dimensions, and a unified report portal to solve data silos, improve security, and enable enterprises to evolve into technology‑driven organizations.

AnalyticsBig DataData Platform
0 likes · 3 min read
How Suning’s Data Platform Unifies OLAP, Metrics, Visualization & Reporting
Continuous Delivery 2.0
Continuous Delivery 2.0
Mar 1, 2021 · Operations

Google’s Project Health Metrics and Practices for Pre‑Release Code Quality

The article explains how Google measures and maintains software quality before release by dividing responsibilities between product teams and SRE, using monorepo, trunk‑based development, daily release candidates, automated testing, performance monitoring, and a Project Health (pH) metric system that tracks productivity, release velocity, reliability, and quality.

GoogleMetricsProject Health
0 likes · 12 min read
Google’s Project Health Metrics and Practices for Pre‑Release Code Quality
Architects Research Society
Architects Research Society
Feb 25, 2021 · R&D Management

Introduction to Innovation Networks and Their Roles

The article explains the concept of innovation networks, outlines four key roles—Inventor, Transformer, Financier, and Broker—describes the surrounding ecosystem, and provides practical guidance on aligning values, understanding organizational capabilities, and mapping metrics to improve network performance.

EcosystemMetricsOrganizational Capability
0 likes · 7 min read
Introduction to Innovation Networks and Their Roles
Didi Tech
Didi Tech
Feb 25, 2021 · Industry Insights

Why DiDi’s Obsuite Is Redefining Hybrid‑Cloud Observability

Obsuite, DiDi’s open‑source observability suite, tackles hybrid‑cloud monitoring challenges by combining metrics, logs, and traces, while the article analyzes market trends, private‑cloud demand, and the product’s architecture, open‑source components, and the OCE certification program for enterprise users.

Log ManagementMetricshybrid cloud
0 likes · 6 min read
Why DiDi’s Obsuite Is Redefining Hybrid‑Cloud Observability
Top Architect
Top Architect
Jan 5, 2021 · Operations

Microservice Monitoring Architecture: Five‑Layer Hierarchy and Key Practices

The article explains the importance of microservice monitoring and presents a five‑level monitoring hierarchy—from infrastructure to end‑user experience—along with five essential monitoring aspects and a typical architecture using agents, message queues, ELK, and time‑series databases to ensure reliable, observable services.

MetricsMicroserviceOperations
0 likes · 6 min read
Microservice Monitoring Architecture: Five‑Layer Hierarchy and Key Practices
Architect
Architect
Jan 2, 2021 · Operations

Layered Architecture of Microservice Monitoring and Key Practices

This article explains the layered architecture of microservice monitoring, detailing five monitoring levels—from infrastructure to end-user experience—along with essential monitoring points such as logs, metrics, tracing, alerts, and health checks, and presents a typical monitoring stack using agents, Kafka, ELK, and InfluxDB.

MetricsOperationslogging
0 likes · 6 min read
Layered Architecture of Microservice Monitoring and Key Practices
Programmer DD
Programmer DD
Dec 27, 2020 · Databases

Build a Powerful MySQL Monitoring Platform with Prometheus and Grafana

This guide walks through building a comprehensive MySQL monitoring platform using Prometheus and Grafana, covering exporter installation, configuration, key performance metrics such as replication health, query throughput, slow queries, connection limits, buffer pool usage, and provides ready‑made Grafana dashboards and alerting rules.

ExporterGrafanaMetrics
0 likes · 17 min read
Build a Powerful MySQL Monitoring Platform with Prometheus and Grafana
DevOps Cloud Academy
DevOps Cloud Academy
Dec 26, 2020 · Operations

Key DevOps Metrics for Effective Software Delivery

The article outlines essential DevOps metrics—such as deployment frequency, deployment time, automated test pass rate, code commit volume, defect escape rate, cost, failure rates, detection time, unplanned work, MTTF, application performance, MTTD, MTTR, delivery time, change quality, and customer feedback—to help teams monitor and improve software delivery speed, quality, and reliability.

DeploymentDevOpsMetrics
0 likes · 9 min read
Key DevOps Metrics for Effective Software Delivery
TAL Education Technology
TAL Education Technology
Dec 24, 2020 · Artificial Intelligence

AI Engineering Efficiency Platform: Architecture, Practices, and Case Studies

The presentation outlines the AI engineering efficiency platform covering algorithm metric and evaluation, micro‑service performance testing, and dataset management architectures, detailing business pain points, platform‑wide improvements, technical designs, real‑world demos, and future directions to achieve accurate, fast, and stable AI services.

Data ManagementMetricsPerformance Testing
0 likes · 20 min read
AI Engineering Efficiency Platform: Architecture, Practices, and Case Studies
Continuous Delivery 2.0
Continuous Delivery 2.0
Dec 11, 2020 · Operations

Interview with Lori Lamkin on Microsoft’s DevOps Journey and Practices

In this interview, Microsoft Visual Studio Cloud Services Program Management Director Lori Lamkin shares the evolution of their DevOps journey, covering rhythm changes, team autonomy, continuous delivery, trunk‑based development, dogfooding, frequent deployments, testing, security, telemetry, metrics, and the cultural shift toward operational responsibility.

MetricsMicrosoftOperations
0 likes · 13 min read
Interview with Lori Lamkin on Microsoft’s DevOps Journey and Practices
Qunar Tech Salon
Qunar Tech Salon
Dec 8, 2020 · Backend Development

Improving Pre‑Sale Service Smoothness for International Hotel Business: Metrics, Challenges, and Quote‑Fetching Scheduling Refactor

This article presents a detailed case study of how an international hotel division identified low pre‑sale service smoothness, defined quantitative metrics, analyzed caching and real‑time quote‑fetching trade‑offs, and redesigned the quote‑fetching scheduling mechanism to raise overall flow smoothness toward an 87% target.

Metricsbackend-developmentcaching
0 likes · 11 min read
Improving Pre‑Sale Service Smoothness for International Hotel Business: Metrics, Challenges, and Quote‑Fetching Scheduling Refactor
58UXD
58UXD
Nov 17, 2020 · Product Management

How the Crystal Ball Asset Platform Boosted Design Efficiency: A 2020 Upgrade Journey

The article details the 2020 upgrade of the Crystal Ball design‑asset sharing platform, outlining identified problems, clarified goals, quarterly action plans, key initiatives such as search improvements and a points system, and the resulting growth in material volume, usage rates, and overall design efficiency.

MetricsPlatform Upgradeasset management
0 likes · 12 min read
How the Crystal Ball Asset Platform Boosted Design Efficiency: A 2020 Upgrade Journey
System Architect Go
System Architect Go
Nov 7, 2020 · Operations

Request Log Analysis System: Collected Fields, Derived Data, and Metrics

This article outlines a request log analysis system that records core request fields, adds proxy‑related data, derives IP‑based ASN and geographic information, parses user‑agent details, and provides comprehensive metrics such as PV/QPS, UV, traffic, latency, status monitoring, and business‑specific insights, all visualized via an ELK‑Kafka architecture.

BackendELKKafka
0 likes · 5 min read
Request Log Analysis System: Collected Fields, Derived Data, and Metrics
Xianyu Technology
Xianyu Technology
Oct 29, 2020 · Mobile Development

Performance Optimization of Long List Scrolling in Android and Flutter

The article details how Xianyu improved long‑list scrolling smoothness on both native Android and Flutter by building a cross‑platform frame‑jank detection tool, applying async view‑caching and unbinding in Android, and using repaint boundaries, clipping tweaks, time‑slicing and custom scroll physics in Flutter, achieving up to 57 FPS and halving big‑jank counts on low‑end devices.

AndroidFlutterListView
0 likes · 21 min read
Performance Optimization of Long List Scrolling in Android and Flutter
DevOps Coach
DevOps Coach
Oct 26, 2020 · Operations

Mastering Visual Management in DevOps: Key Practices and Common Pitfalls

This article explains Google’s DevOps solution framework, focusing on the measurement pillar by detailing how to implement visual management boards, avoid typical mistakes, improve their effectiveness, and measure their impact against team goals, while referencing the DORA study that underpins the approach.

DevOpsMetricsOperations
0 likes · 11 min read
Mastering Visual Management in DevOps: Key Practices and Common Pitfalls
Programmer DD
Programmer DD
Oct 22, 2020 · Operations

Mastering Prometheus: Principles, Pitfalls, and Scaling Strategies

This article explores Prometheus as a cloud‑native monitoring solution, covering core principles, limitations, metric selection, exporter consolidation, Kubernetes deployment nuances, memory and storage planning, high‑availability designs, and advanced features like rate calculations, cardinality management, and predictive alerts.

HAKubernetesMetrics
0 likes · 33 min read
Mastering Prometheus: Principles, Pitfalls, and Scaling Strategies
Alibaba Cloud Native
Alibaba Cloud Native
Oct 20, 2020 · Backend Development

Understanding Sentinel-Go: Core Concepts, Flow Control Architecture, and Implementation Details

This article provides an in‑depth analysis of Sentinel‑Go, covering its fundamental concepts such as Resource and Rule, the Entry and SlotChain mechanisms, flow‑control components like TrafficShapingController, metric storage structures including BucketWrap and LeapArray, and practical code examples illustrating the library’s internal workflow.

FlowControlGoMetrics
0 likes · 26 min read
Understanding Sentinel-Go: Core Concepts, Flow Control Architecture, and Implementation Details
58UXD
58UXD
Oct 10, 2020 · Product Management

How Redesigning Category Pages Tripled Conversions on 58.com

Over six months, 58.com revamped the category pages for its rental and home services, introducing clear metrics like connection conversion rate and redesigning navigation to prioritize top services, which resulted in a three‑fold increase in order and contact conversions across both platforms.

MetricsProduct DesignUX
0 likes · 9 min read
How Redesigning Category Pages Tripled Conversions on 58.com
ITPUB
ITPUB
Sep 30, 2020 · Operations

Essential Linux Monitoring Metrics for Open‑Falcon: A Complete Guide

This article enumerates the core Linux system metrics collected by the Open‑Falcon agent—including CPU, disk, memory, network, kernel, and process statistics—explaining how each metric is derived from /proc or other system tools and why it matters for reliable operations monitoring.

LinuxMetricsOpen-Falcon
0 likes · 14 min read
Essential Linux Monitoring Metrics for Open‑Falcon: A Complete Guide
DevOps
DevOps
Sep 30, 2020 · Fundamentals

Effective Software Quality Measurement: Goals, Methods, and Lifecycle Practices

This article explains how to define appropriate software quality measurement goals, choose quantitative or qualitative methods, apply periodic and lifecycle‑wide metrics, and use visual dashboards to turn measurement data into actionable improvements throughout the development process.

Continuous ImprovementMetricsmeasurement
0 likes · 10 min read
Effective Software Quality Measurement: Goals, Methods, and Lifecycle Practices
MaGe Linux Operations
MaGe Linux Operations
Sep 18, 2020 · Operations

Essential Linux Operations Metrics for Effective Monitoring

This guide enumerates the key Linux system metrics—covering CPU, memory, disk, I/O, network, kernel parameters, RAID, SMART, NTP, and process information—that open-falcon agents collect every minute to enable comprehensive operations monitoring and timely issue detection.

MetricsOpen-FalconOperations
0 likes · 12 min read
Essential Linux Operations Metrics for Effective Monitoring
FunTester
FunTester
Sep 11, 2020 · Fundamentals

Understanding Test Coverage: Techniques, Metrics, and Improvement Strategies

This article explains the concept of test coverage, describes various coverage techniques such as statement, branch, path, condition, and boundary-value coverage, outlines key metrics, provides a practical coverage matrix example, and offers actionable tips for improving overall software testing quality.

MetricsSoftware Testingquality assurance
0 likes · 14 min read
Understanding Test Coverage: Techniques, Metrics, and Improvement Strategies
JD.com Experience Design Center
JD.com Experience Design Center
Aug 18, 2020 · Product Management

How JD.com Boosted Order Volume in 618 Sale with Innovative Downstream Event Design

This case study details JD.com's strategy to attract price‑sensitive users during the 618 promotion by redefining core metrics, enhancing visual content, implementing interactive front‑end features, and optimizing retention mechanisms, resulting in significant order growth and improved user perception of value.

MetricsProduct DesignUser experience
0 likes · 16 min read
How JD.com Boosted Order Volume in 618 Sale with Innovative Downstream Event Design
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 16, 2020 · Big Data

Designing a Reusable and Standardized Data Warehouse Model for a Data Middle Platform

The article explains how to evaluate and improve data warehouse design by measuring completeness, reusability and standardization, proposes concrete metrics such as cross‑layer reference rate and model reuse coefficient, and outlines a step‑by‑step process—from ODS control to domain division, dimension unification, fact‑table integration, model development and migration—while introducing the EasyDesign tool for systematic management.

Data PlatformMetricsReusability
0 likes · 14 min read
Designing a Reusable and Standardized Data Warehouse Model for a Data Middle Platform
Java Architecture Diary
Java Architecture Diary
Aug 11, 2020 · Backend Development

What Is Mica? A Minimalist Java Microservice Core for Spring Boot & Cloud

Mica, originally derived from the internal lutool project, is a lightweight Java 8‑based microservice core that supports both traditional Servlet and Reactive WebFlux, auto‑generates Spring configuration, adds metrics, Redis utilities, RSA helpers, and integrates with Prometheus and Grafana, with its source available on GitHub and Gitee.

MetricsSpring Bootjava
0 likes · 3 min read
What Is Mica? A Minimalist Java Microservice Core for Spring Boot & Cloud
dbaplus Community
dbaplus Community
Aug 3, 2020 · Operations

How iQIYI Built a Full‑Link Automated Monitoring Platform for Microservices

iQIYI’s tech product team designed a unified full‑link automated monitoring platform that integrates link, metric, and log collection with deep analysis, enhancing fault localization, performance insight, and scalability across microservices, while addressing limitations of existing tools like ELK, Prometheus, and Dapper.

Metricsfull‑linklog collection
0 likes · 15 min read
How iQIYI Built a Full‑Link Automated Monitoring Platform for Microservices
Aikesheng Open Source Community
Aikesheng Open Source Community
Jul 29, 2020 · Operations

Understanding Prometheus Exporters: Operation Modes, Data Format, and a Go Implementation Example

This article explains the purpose and operation modes of Prometheus exporters, details the text-based metric exposition format including HELP, TYPE, and sample lines for counters, gauges, summaries, and histograms, and provides a complete Go example showing how to build, run, and expose a custom exporter with Prometheus client libraries.

GolangMetricsobservability
0 likes · 11 min read
Understanding Prometheus Exporters: Operation Modes, Data Format, and a Go Implementation Example
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 29, 2020 · Fundamentals

What Is Data Analysis? Definitions, Skills, History, and Practical Steps

This comprehensive guide explains what data analysis is, the types of data, its historical evolution, the relationship between data analysis, data science and business intelligence, essential skills, why analysis matters, and a step‑by‑step framework with models and metric design for effective decision‑making.

AnalyticsBusiness IntelligenceMetrics
0 likes · 25 min read
What Is Data Analysis? Definitions, Skills, History, and Practical Steps
Qunhe Technology Quality Tech
Qunhe Technology Quality Tech
Jul 17, 2020 · Operations

How We Built a Robust Monitoring System for Construction Drawing Production

This article describes how our team designed and implemented a comprehensive online monitoring system for construction drawing generation, covering business background, technical architecture analysis, metric definition, monitoring methods, and the resulting dashboards that improve quality, stability, and rapid issue resolution.

MetricsOperationsconstruction drawing
0 likes · 10 min read
How We Built a Robust Monitoring System for Construction Drawing Production
Youzan Coder
Youzan Coder
Jul 15, 2020 · Big Data

Design and Implementation of Youzan ABTest System for Data‑Driven Growth

Youzan created an internal A/B testing platform—combining Java/Node SDKs, a real‑time data pipeline, and a metadata‑driven workflow—to enable data‑driven product iteration, granular traffic allocation, automated logging, statistical analysis, and scalable growth insights across its merchant services, while planning further automation and integration.

A/B testingBig DataExperiment Platform
0 likes · 19 min read
Design and Implementation of Youzan ABTest System for Data‑Driven Growth
58UXD
58UXD
Jul 13, 2020 · Product Management

How a 5‑Iteration Redesign Revitalized 58.com Car Listings

This case study details how a five‑iteration, six‑release redesign of the 58.com second‑hand car publishing flow—covering entry consolidation, form simplification, field reduction, real‑car verification, and image quality enhancements—boosted listing success rates, user conversion, and overall system value.

MetricsProduct RedesignUI/UX
0 likes · 11 min read
How a 5‑Iteration Redesign Revitalized 58.com Car Listings
DataFunTalk
DataFunTalk
Jun 27, 2020 · Artificial Intelligence

What AI Brings to Financial Investment: Limitations of Recommendation Models Compared to Live‑Streaming Commerce

The article examines the rapid growth of live‑streaming e‑commerce, explains the trust‑based dynamics of influencers, outlines standard recommendation‑system metrics such as accuracy, recall, diversity and explainability, and argues that these models fall short of long‑term user utility because they are driven by short‑term commercial goals, highlighting economic and neuroscientific perspectives on preference randomness.

Artificial IntelligenceMetricsRecommendation Systems
0 likes · 13 min read
What AI Brings to Financial Investment: Limitations of Recommendation Models Compared to Live‑Streaming Commerce
Architects Research Society
Architects Research Society
Jun 27, 2020 · R&D Management

Understanding Innovation Networks and Their Roles

An innovation network is a refined management approach that aligns four key roles—Inventor, Transformer, Financier, and Broker—within an ecosystem, emphasizing shared values, organizational capabilities, and metric mapping to improve network performance and sustainable value creation.

EcosystemMetricsOrganizational Capability
0 likes · 6 min read
Understanding Innovation Networks and Their Roles
Efficient Ops
Efficient Ops
Jun 25, 2020 · Operations

How Agricultural Bank’s AIR Platform Realized DevOps at Scale

This article details the Agricultural Bank’s Distributed Application Interconnection (AIR) platform’s DevOps journey, covering small‑granularity development, comprehensive configuration management, end‑to‑end automated pipelines, advanced testing automation, metric‑driven improvements, and the successful third‑level continuous delivery assessment across multiple projects.

Configuration ManagementContinuous DeliveryDevOps
0 likes · 9 min read
How Agricultural Bank’s AIR Platform Realized DevOps at Scale
Efficient Ops
Efficient Ops
Jun 23, 2020 · Operations

How Agricultural Bank’s Credit Middle Platform Accelerated Delivery with DevOps

Facing fragmented credit product development, Agricultural Bank built a micro‑service‑based credit middle platform and implemented a comprehensive DevOps pipeline—featuring lightweight branching, visualized continuous deployment, end‑to‑end traceability, three‑layer quality gates, and metric‑driven automation—that dramatically improved delivery speed, quality, and operational efficiency.

BankingContinuous DeliveryDevOps
0 likes · 15 min read
How Agricultural Bank’s Credit Middle Platform Accelerated Delivery with DevOps
WeDoctor Frontend Technology
WeDoctor Frontend Technology
Jun 15, 2020 · Frontend Development

Optimizing Frontend Experience for Medical Platforms: Insights from WeDoctor

This article explores how frontend engineers at WeDoctor adapt experience design and performance metrics—such as page load time, interactive readiness, and second‑open rate—to the specific needs of the medical industry, detailing analysis methods, integration approaches, and future plans for micro‑frontend governance.

MetricsUser experienceWeb Optimization
0 likes · 15 min read
Optimizing Frontend Experience for Medical Platforms: Insights from WeDoctor
MaGe Linux Operations
MaGe Linux Operations
Jun 14, 2020 · Databases

Mastering Redis Monitoring: Key Metrics, Commands, and Performance Tips

This guide details Redis monitoring metrics across performance, memory, activity, persistence, and error categories, explains how to retrieve them with the INFO command, outlines useful monitoring tools, provides slowlog configuration examples, and includes command‑line snippets for performance testing and metric inspection.

MemoryMetricsdatabase
0 likes · 6 min read
Mastering Redis Monitoring: Key Metrics, Commands, and Performance Tips
iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 12, 2020 · Operations

Microservice Monitoring Practices at iQIYI: Architecture, Metrics, and Automation

iQIYI’s micro‑service monitoring combines low‑cost automatic instrumentation, declarative method metrics, and push‑gateway data into a unified multi‑dimensional schema, visualized centrally in Grafana and managed with standardized alert rules, demonstrating that simple integration, centralized dashboards, and early‑stage governance enable rapid anomaly detection and effective incident response.

AlertingMetricsPrometheus
0 likes · 14 min read
Microservice Monitoring Practices at iQIYI: Architecture, Metrics, and Automation
iQIYI Technical Product Team
iQIYI Technical Product Team
May 29, 2020 · Big Data

iQiyi's Full-Link Automated Monitoring Platform: Design and Implementation

iQiyi’s full‑link automated monitoring platform unifies tracing, metric and log collection with deep offline and real‑time analysis, delivering a DAG‑based call graph, near‑real‑time ingestion of tens of millions of logs, multi‑dimensional alerts and rapid root‑cause diagnosis that cut error‑lookup time by over 50 % and now serves as a core component of the company’s microservice reference architecture.

Big DataMetricsarchitecture
0 likes · 12 min read
iQiyi's Full-Link Automated Monitoring Platform: Design and Implementation
Meituan Technology Team
Meituan Technology Team
May 28, 2020 · Big Data

Design and Implementation of Meituan Delivery A/B Testing Platform and Evaluation System

The article details Meituan Delivery’s A/B testing platform and evaluation system, explaining its closed‑loop design, multi‑strategy traffic allocation with AA grouping, comprehensive metric hierarchy, statistical rigor, data integration, and implementation architecture, and outlines future tools for traffic‑volume recommendation.

A/B testingData IntegrationMetrics
0 likes · 20 min read
Design and Implementation of Meituan Delivery A/B Testing Platform and Evaluation System
FunTester
FunTester
May 24, 2020 · Industry Insights

How to Measure Test Automation Success: 12 Essential Metrics

This article outlines a systematic approach to evaluating test automation effectiveness by detailing twelve quantifiable metrics—from bug detection rates and execution stability to platform usage and ROI—while emphasizing the critical mindset of automation champions for successful adoption.

MetricsROIadoption
0 likes · 4 min read
How to Measure Test Automation Success: 12 Essential Metrics
Amap Tech
Amap Tech
May 8, 2020 · Product Management

How Amap’s Evaluation Team Measures Product Success: Roles, Methods, and Tools

This article explains the evolution, responsibilities, and evaluation methods of the product‑effect assessment team at Amap, covering offline testing, AB experiments, metric analysis, automated scoring models, and the tools that support a comprehensive product‑performance framework.

AB testingMetricsindustry insights
0 likes · 13 min read
How Amap’s Evaluation Team Measures Product Success: Roles, Methods, and Tools
Liangxu Linux
Liangxu Linux
Apr 29, 2020 · Operations

How to Build a Complete Monitoring System: Goals, Methods, Tools & Best Practices

This guide explains why monitoring is essential for the entire operations lifecycle, outlines key monitoring objectives, describes practical methods and workflows, reviews a range of open‑source tools (including Zabbix, MRTG, Ganglia, Nagios, Smokeping, OpenTSDB), and details metric categories such as hardware, system, application, network, log, security, API, performance and business monitoring.

AlertingMetricsZabbix
0 likes · 22 min read
How to Build a Complete Monitoring System: Goals, Methods, Tools & Best Practices
21CTO
21CTO
Apr 24, 2020 · Artificial Intelligence

Why Your Recommendation System’s Offline Gains Fail Online: Common Pitfalls

This article examines the frequent pitfalls of recommendation systems—misleading metrics, over‑optimizing precision, data leakage, feature inconsistencies, and distribution bias—that cause offline AUC improvements to translate into lower online CTR and CPM, and offers practical mitigation strategies.

ExploitationMetricsai
0 likes · 15 min read
Why Your Recommendation System’s Offline Gains Fail Online: Common Pitfalls
WecTeam
WecTeam
Apr 22, 2020 · Frontend Development

How to Supercharge Your 2020 Front‑End Performance: The Ultimate Checklist

This comprehensive 2020 front‑end performance checklist guides teams through planning, metric selection, environment setup, static asset optimization, build and transport strategies, testing, monitoring, and realistic goal setting, offering tools, budgets, and cultural practices to achieve faster, more responsive web experiences.

MetricsWebbudget
0 likes · 65 min read
How to Supercharge Your 2020 Front‑End Performance: The Ultimate Checklist
58UXD
58UXD
Apr 15, 2020 · Product Management

How Designers Can Leverage Data Analysis to Solve Real‑World Problems

Designers often overlook data analysis, yet mastering it helps identify problems, set measurable goals, generate hypotheses, collect and interpret metrics, and draw actionable conclusions, ultimately guiding product decisions and improving conversion rates across various scenarios such as page performance, financial calculations, and insurance plan selection.

MetricsProduct DesignUX
0 likes · 12 min read
How Designers Can Leverage Data Analysis to Solve Real‑World Problems
JD Tech Talk
JD Tech Talk
Apr 8, 2020 · Artificial Intelligence

Designing and Evaluating Recommendation Algorithms for Wealth Management Platforms

This article explores how large wealth‑management platforms can model product recommendation as a mapping between customers and financial products, defines various evaluation goals such as transaction volume, revenue and user satisfaction, and outlines a systematic A/B‑testing workflow for comparing and optimizing recommendation algorithms.

A/B testingMetricsalgorithm
0 likes · 10 min read
Designing and Evaluating Recommendation Algorithms for Wealth Management Platforms
Efficient Ops
Efficient Ops
Apr 6, 2020 · Databases

How to Build a MySQL Monitoring Platform with Prometheus and Grafana

This article walks through setting up a production‑grade MySQL monitoring solution using Prometheus and Grafana, covering exporter installation, MySQL user configuration, systemd service setup, Prometheus job definition, key MySQL performance metrics, and basic alerting rules.

GrafanaMetricsPrometheus
0 likes · 15 min read
How to Build a MySQL Monitoring Platform with Prometheus and Grafana
360 Quality & Efficiency
360 Quality & Efficiency
Apr 3, 2020 · Operations

Prometheus Monitoring System: Concepts, Architecture, and Hands‑On Deployment with Node Exporter and Grafana

This article introduces the core concepts and architecture of the open‑source Prometheus monitoring system, explains its data model and metric types, and provides a step‑by‑step guide to install a Prometheus server, collect host metrics with Node Exporter, and visualize them using Grafana.

GrafanaMetricsPrometheus
0 likes · 10 min read
Prometheus Monitoring System: Concepts, Architecture, and Hands‑On Deployment with Node Exporter and Grafana
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Mar 19, 2020 · Frontend Development

How to Measure Front‑End Project Efficiency with DevOps Metrics

This article outlines a DevOps‑inspired metric system for front‑end projects, describing the five development stages—design, development, personal verification, version verification, and online verification—and proposing concrete, automatable indicators to help leaders assess and improve delivery quality and speed.

Metricsfrontendquality assurance
0 likes · 10 min read
How to Measure Front‑End Project Efficiency with DevOps Metrics
Big Data Technology & Architecture
Big Data Technology & Architecture
Mar 8, 2020 · Big Data

Understanding Data, Metrics, and Indicator Systems: From Basic Concepts to Pirate Metrics and First‑Key‑Metric Method

The article explains the nature of raw data, defines metrics as data combined with business scenarios, introduces five‑question criteria for good indicators, and compares two popular metric‑system frameworks—the Pirate Metrics (AARRR) model and the First‑Key‑Metric method, illustrating their application in business decision‑making.

@DataBusiness IntelligenceIndicator System
0 likes · 8 min read
Understanding Data, Metrics, and Indicator Systems: From Basic Concepts to Pirate Metrics and First‑Key‑Metric Method
Programmer DD
Programmer DD
Feb 15, 2020 · Operations

Understanding Prometheus: Architecture, Data Model, and Alerting Explained

This article provides a comprehensive overview of Prometheus, covering its open‑source monitoring architecture, multi‑dimensional data model, query language, storage mechanisms, service discovery, alerting workflow with Alertmanager, and visualization using Grafana, all illustrated with key diagrams and configuration examples.

AlertingGrafanaMetrics
0 likes · 9 min read
Understanding Prometheus: Architecture, Data Model, and Alerting Explained
Java Backend Technology
Java Backend Technology
Jan 23, 2020 · Backend Development

Master Spring Boot Actuator: Real‑Time Monitoring, Metrics, and Dynamic Log Levels

This tutorial walks you through using Spring Boot Actuator to monitor microservice applications, covering quick setup, essential endpoints such as health, metrics, loggers, and shutdown, customizing health indicators, dynamically changing log levels at runtime, and securing actuator endpoints with Spring Security.

ActuatorMetricsMicroservices
0 likes · 14 min read
Master Spring Boot Actuator: Real‑Time Monitoring, Metrics, and Dynamic Log Levels
360 Tech Engineering
360 Tech Engineering
Jan 7, 2020 · Operations

Introduction to Prometheus and Grafana for Monitoring and Alerting

This article provides a comprehensive overview of using Prometheus and Grafana for metric collection, storage, querying with PromQL, visualization, and alerting, including exporter integration, metric types, high‑availability setups, and practical examples for modern microservice architectures.

GrafanaMetricsPrometheus
0 likes · 10 min read
Introduction to Prometheus and Grafana for Monitoring and Alerting
DevOps Engineer
DevOps Engineer
Dec 22, 2019 · Operations

Using GitStats to Analyze Git Repository Contributions and Activity

This guide introduces the open‑source GitStats tool, explains how to install its Python and Gnuplot dependencies on Linux, demonstrates step‑by‑step commands to generate a comprehensive HTML report for a Git repository, and interprets the resulting statistics on commits, contributors, file types, and tags.

GitMetricsRepository Analysis
0 likes · 5 min read
Using GitStats to Analyze Git Repository Contributions and Activity
21CTO
21CTO
Dec 3, 2019 · Operations

Why Most Alerts Fail and How to Build Actionable Monitoring

This article explains why many system alerts are poorly designed, describes the true purpose of alerts as actionable notifications, distinguishes business rule monitoring from reliability monitoring, and presents practical metrics, strategies, and simple anomaly‑detection algorithms to create high‑quality, actionable alerts for reliable operations.

AlertingMetricsOperations
0 likes · 23 min read
Why Most Alerts Fail and How to Build Actionable Monitoring
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 1, 2019 · Big Data

Understanding Flink LatencyMarker: End-to-End Delay Measurement and Implementation Details

This article explains the background, source‑code analysis, and practical implementation of Flink's LatencyMarker feature for measuring end‑to‑end job latency, including metric exposure, configuration options, and code snippets illustrating how latency markers are emitted and processed within the streaming pipeline.

Big DataEnd-to-End LatencyFlink
0 likes · 6 min read
Understanding Flink LatencyMarker: End-to-End Delay Measurement and Implementation Details
Cloud Native Technology Community
Cloud Native Technology Community
Nov 21, 2019 · Cloud Native

Observability in Cloud‑Native Applications with Elastic Stack: A Four‑Step Approach

The talk explains how Elastic Stack can be used to achieve comprehensive observability for cloud‑native applications through a four‑step methodology—health checks, metrics, logging, and tracing—detailing the challenges, implementation details, and best practices for monitoring and debugging modern microservice systems.

APMCloud NativeElastic Stack
0 likes · 10 min read
Observability in Cloud‑Native Applications with Elastic Stack: A Four‑Step Approach
Amap Tech
Amap Tech
Nov 6, 2019 · R&D Management

Evolution and Implementation of Continuous Delivery at Gaode

Gaode’s continuous delivery journey transformed its multi‑stage release process into a standardized, automated pipeline that delivers backend services within an hour, cuts manual effort, boosts release efficiency by up to 90%, and embeds early quality checks and data‑driven insights for faster, higher‑quality business value.

Continuous DeliveryDevOpsGaode
0 likes · 20 min read
Evolution and Implementation of Continuous Delivery at Gaode
Architecture Digest
Architecture Digest
Nov 3, 2019 · Backend Development

Yu'ebao Service Governance Practices and Methodology

The article details how Yu'ebao, a financial platform with over five hundred million users and assets exceeding one trillion yuan, designs and operates a comprehensive service‑governance framework—including metrics collection, bi‑weekly governance committee reviews, dynamic and static call‑chain analysis, and layered service architecture—to balance security, compliance, and rapid service delivery.

Backend ArchitectureMetricsfinancial technology
0 likes · 16 min read
Yu'ebao Service Governance Practices and Methodology
Big Data Technology Architecture
Big Data Technology Architecture
Sep 26, 2019 · Databases

Elasticsearch Core Overview and Key Performance Metrics

This article provides a comprehensive guide to Elasticsearch’s architecture, node roles, data organization, and the most important performance metrics—including search, indexing, memory, JVM garbage collection, host‑level system metrics, cluster health, and resource saturation—offering practical advice on monitoring and tuning the cluster for reliability and efficiency.

Cluster ManagementElasticsearchJVM
0 likes · 27 min read
Elasticsearch Core Overview and Key Performance Metrics
DataFunTalk
DataFunTalk
Sep 20, 2019 · Artificial Intelligence

Diversity as a Means, Not an End, in Recommendation Systems

The article argues that diversity should be treated as a tool rather than a final objective in recommendation systems, explains why it is hard to quantify, discusses appropriate metrics such as user feedback and engagement, and presents practical strategies—including expert rules, richer recall pipelines, and list‑wise modeling—to improve diversity while optimizing true business goals.

DiversityMetricslistwise
0 likes · 7 min read
Diversity as a Means, Not an End, in Recommendation Systems
Cloud Native Technology Community
Cloud Native Technology Community
Sep 19, 2019 · Cloud Native

Kubernetes 1.16 Highlights: Custom Resources, Metrics Overhaul, and Endpoint Slices

On September 18, Kubernetes v1.16 was released with 31 enhancements—including GA for custom resources, a revamped metrics system, volume resizing, Windows workload improvements, kubeadm alpha support, CSI integration, and the new Endpoint Slices feature that dramatically improves scalability and network topology handling.

Cloud NativeCustom ResourcesEndpoint Slices
0 likes · 9 min read
Kubernetes 1.16 Highlights: Custom Resources, Metrics Overhaul, and Endpoint Slices
dbaplus Community
dbaplus Community
Sep 16, 2019 · Operations

How to Build Effective Monitoring for Microservices: Logs, Tracing, and Metrics Explained

This article explains the three main monitoring approaches—log collection, distributed tracing, and metric gathering—in microservice architectures, outlines the layered monitoring model, lists key system, application, and user metrics, and reviews popular open‑source time‑series monitoring tools such as Prometheus, OpenTSDB, and InfluxDB.

MetricsMicroservicesPrometheus
0 likes · 10 min read
How to Build Effective Monitoring for Microservices: Logs, Tracing, and Metrics Explained
DevOps Cloud Academy
DevOps Cloud Academy
Sep 5, 2019 · Operations

An Overview of the Prometheus Monitoring System

Prometheus, an open‑source monitoring and alerting toolkit originally developed by SoundCloud and now a CNCF project, offers multidimensional data models, flexible queries, pull‑based data collection, various metric types (counter, gauge, summary, histogram), local and remote storage, service discovery, and integrates with Grafana for visualization.

Cloud NativeMetricsOperations
0 likes · 8 min read
An Overview of the Prometheus Monitoring System
AntTech
AntTech
Sep 2, 2019 · Cloud Native

Exploring Observability in Cloud‑Native Architecture: Practices from Ant Financial

This article reviews Ant Financial's cloud‑native observability journey, covering its origins, the three pillars of tracing, metrics and logging, community projects like OpenTelemetry, practical implementations, sampling strategies, and future directions for unified microservice, mesh, and serverless monitoring.

MetricsOpenTelemetrycloud-native
0 likes · 15 min read
Exploring Observability in Cloud‑Native Architecture: Practices from Ant Financial