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628 articles · Page 5 of 7
ByteDance SE Lab
ByteDance SE Lab
Dec 17, 2021 · Mobile Development

Douyin's Metric‑Driven Optimization: Boosting Creation Experience and Performance

This article details Douyin's systematic approach to improving creation experience by defining measurable goals, building a comprehensive metric system, performing relevance analysis, and implementing concrete Android and iOS performance optimizations—including album loading, component architecture, and small‑screen video quality—while outlining monitoring, tooling, and internal platform support that together deliver significant user‑facing gains.

AndroidPerformance OptimizationiOS
0 likes · 24 min read
Douyin's Metric‑Driven Optimization: Boosting Creation Experience and Performance
DevOps
DevOps
Dec 15, 2021 · R&D Management

Using Metrics Wisely in Software Development: Avoiding Counterproductive Behaviors and Driving Real Improvement

The article explains how managers' love of metrics can unintentionally promote harmful behaviors in software teams, illustrates the problem with real-world stories, and provides practical guidelines—linking metrics to goals, tracking trends, using shorter cycles, and adapting metrics—to ensure they support, rather than hinder, the delivery of valuable software.

double-loop learningmetricsorganizational behavior
0 likes · 21 min read
Using Metrics Wisely in Software Development: Avoiding Counterproductive Behaviors and Driving Real Improvement
MaGe Linux Operations
MaGe Linux Operations
Nov 19, 2021 · Databases

Essential Redis Monitoring Metrics Every Engineer Should Know

This guide outlines the key Redis monitoring metrics—including performance, memory, activity, persistence, and error indicators—provides detailed descriptions, command examples, and practical tips for using tools like redis-cli, redis-benchmark, and info commands to effectively track and troubleshoot your Redis instances.

DevOpsRedismetrics
0 likes · 7 min read
Essential Redis Monitoring Metrics Every Engineer Should Know
Java Architecture Diary
Java Architecture Diary
Nov 19, 2021 · Backend Development

What’s New in Spring Boot 2.6? Key Features and Configuration Changes

Spring Boot 2.6 introduces Cookie SameSite support, reactive session timeout, custom data‑masking rules, automatic Redis pool configuration, richer runtime Java metrics, build‑info personalization, new startup and disk metrics, enhanced Docker image building, and many deprecated properties removed or renamed, improving security and performance.

ConfigurationDockerRedis
0 likes · 7 min read
What’s New in Spring Boot 2.6? Key Features and Configuration Changes
DevOps
DevOps
Nov 15, 2021 · R&D Management

Key Indicators for Evaluating Genuine Agile Practices

This article outlines six practical metrics—unified backlog, user‑centric requirement description, consistent requirement flow, short lead time, high iteration completion rate, and stable iteration velocity—to help teams distinguish superficial agile ceremonies from truly effective agile execution.

AgileBacklogR&D
0 likes · 5 min read
Key Indicators for Evaluating Genuine Agile Practices
Open Source Linux
Open Source Linux
Nov 14, 2021 · Databases

Essential Redis Monitoring Metrics Every Engineer Should Know

This guide outlines the key Redis monitoring metrics—including performance, memory, basic activity, persistence, and error indicators—explains their meanings, shows how to retrieve them with Redis commands, and provides practical tips for effective performance and health tracking.

Errormetricsmonitoring
0 likes · 6 min read
Essential Redis Monitoring Metrics Every Engineer Should Know
Efficient Ops
Efficient Ops
Nov 3, 2021 · Operations

How to Visualize JMeter Performance Data with Grafana, InfluxDB, and Prometheus

This article explains step‑by‑step how to collect JMeter test metrics via Backend Listener, store them in InfluxDB, and display real‑time performance charts—including TPS, response time, and error rates—in Grafana, while also covering node_exporter integration with Prometheus for system‑level monitoring.

GrafanaInfluxDBJMeter
0 likes · 15 min read
How to Visualize JMeter Performance Data with Grafana, InfluxDB, and Prometheus
Alimama Tech
Alimama Tech
Nov 3, 2021 · Product Management

Common Pitfalls in AB Testing: Design and Analysis Issues

AB testing often fails because practitioners skip power analysis, peek at interim results, set unrealistic null hypotheses, randomize at inappropriate units, ignore sample‑ratio mismatches, choose misleading metrics, and fall prey to segmentation errors like Simpson’s paradox, any of which can invalidate conclusions.

AB TestingSample Ratio Mismatchexperiment design
0 likes · 15 min read
Common Pitfalls in AB Testing: Design and Analysis Issues
Open Source Linux
Open Source Linux
Oct 31, 2021 · Operations

Designing Effective Metrics: From Requirements to Labels and Buckets

This guide explains how to define, name, and organize monitoring metrics—covering Google’s four golden indicators, system‑specific measurement objects, vector selection, label conventions, bucket design, and practical Grafana tips—for reliable observability of diverse services.

Observabilitylabelingmetrics
0 likes · 10 min read
Designing Effective Metrics: From Requirements to Labels and Buckets
DevOps
DevOps
Oct 22, 2021 · Operations

Making KPI Work Positively in Agile Transformation: A Three‑Step Approach

This article shares a practical three‑step method for turning KPI from a hindrance into a catalyst during agile and DevOps transformation, covering urgency creation, pilot projects, and performance‑assessment redesign, while illustrating how integrated tools and feedback loops boost delivery efficiency and business value.

AgileDevOpsKPI
0 likes · 9 min read
Making KPI Work Positively in Agile Transformation: A Three‑Step Approach
Programmer DD
Programmer DD
Oct 18, 2021 · Databases

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

This article explains how to monitor Redis by categorizing essential performance, memory, activity, persistence, and error metrics, provides detailed tables of metric names and descriptions, lists common monitoring tools, shows configuration snippets, and demonstrates useful Redis CLI commands for real‑time insight.

CLIRedisdatabase
0 likes · 7 min read
Master Redis Monitoring: Key Metrics, Commands, and Performance Tips
DevOps
DevOps
Oct 14, 2021 · R&D Management

Why Metrics Fail: Historical Lessons, Industry Examples, and Common Pitfalls in R&D Efficiency Measurement

The article examines why measurement systems often backfire by recounting historical tax‑related mis‑metrics, modern corporate examples like Haidilao, and a series of fundamental mistakes in software R&D efficiency metrics, urging a shift from metric‑driven thinking to purpose‑driven measurement.

R&D Efficiencymeasurement pitfallsmetrics
0 likes · 12 min read
Why Metrics Fail: Historical Lessons, Industry Examples, and Common Pitfalls in R&D Efficiency Measurement
dbaplus Community
dbaplus Community
Oct 10, 2021 · Databases

Transform MySQL Slow Queries from Passive Fixes to Proactive Risk Scoring

This article presents a comprehensive MySQL slow‑query risk‑scoring model that quantifies each slow query's impact using metrics such as query count, execution time, lock wait, bytes sent and rows examined, assigns weighted scores up to 100, and demonstrates how the model enables proactive, business‑aligned remediation.

MySQLdatabase performancemetrics
0 likes · 15 min read
Transform MySQL Slow Queries from Passive Fixes to Proactive Risk Scoring
Alibaba Cloud Native
Alibaba Cloud Native
Oct 10, 2021 · Cloud Native

How to Detect Service and Workload Anomalies in Kubernetes with Advanced Monitoring

This article explains the common pain points of locating anomalies in Kubernetes environments and presents a multi‑layer monitoring framework—trace, metrics, events, and alerts—along with best‑practice scenarios such as network performance, DNS issues, full‑link stress testing, external MySQL access, and multi‑tenant architectures.

DNSKubernetesObservability
0 likes · 20 min read
How to Detect Service and Workload Anomalies in Kubernetes with Advanced Monitoring
dbaplus Community
dbaplus Community
Oct 7, 2021 · Databases

How to Measure and Eliminate Slow SQL in Large‑Scale MySQL Deployments

This article explains what MySQL slow queries are, why they cause system failures, proposes multi‑dimensional metrics to assess their severity, outlines concrete guidelines and change standards, and shares real‑world optimization cases and daily operational practices for eliminating slow SQL.

MySQLOperationsdatabase performance
0 likes · 13 min read
How to Measure and Eliminate Slow SQL in Large‑Scale MySQL Deployments
phodal
phodal
Sep 27, 2021 · User Experience Design

Boosting Developer Experience: A Deep Dive into Documentation Engineering

This article examines the challenges faced by documentation engineers, proposes a documentation‑centric workflow, outlines key elements such as edit‑publish separation, automation, formalization, open collaboration, and versioning, and suggests metrics and practices to measure and improve the overall developer experience.

automationdeveloper experiencedoc engineering
0 likes · 14 min read
Boosting Developer Experience: A Deep Dive into Documentation Engineering
DevOpsClub
DevOpsClub
Sep 16, 2021 · R&D Management

Why Measuring R&D Efficiency Is Hard—and How to Do It Right

This article explores the fundamental difficulties of quantifying software development efficiency, outlines common measurement pitfalls and anti‑patterns, and offers practical guidance for building a systematic, data‑driven R&D performance framework that truly drives improvement.

AgileDevOpsPerformance Measurement
0 likes · 27 min read
Why Measuring R&D Efficiency Is Hard—and How to Do It Right
Efficient Ops
Efficient Ops
Sep 9, 2021 · Operations

How China Everbright Bank Reached Level‑3 DevOps Continuous Delivery: Insights and Metrics

China Everbright Bank’s interview reveals how adopting DevOps standards and a continuous delivery pipeline boosted development speed, quality, and efficiency, with measurable improvements such as 90% build success, 60 daily integrations, and faster release cycles, illustrating the strategic value of standardized, tool‑enabled software delivery.

Agile TransformationContinuous DeliveryDevOps
0 likes · 16 min read
How China Everbright Bank Reached Level‑3 DevOps Continuous Delivery: Insights and Metrics
DevOps
DevOps
Sep 7, 2021 · Operations

Effective Automation Testing: Metrics and Measurement Approaches

The article examines why many automation testing initiatives fail to deliver value, introduces a set of practical metrics such as test case count, execution frequency, success rate, coverage, EMTE, ROI, and bug‑detection efficiency, and explains how to combine them to assess and improve automation effectiveness within software development processes.

CoverageEMTEROI
0 likes · 10 min read
Effective Automation Testing: Metrics and Measurement Approaches
dbaplus Community
dbaplus Community
Sep 6, 2021 · Frontend Development

Building a Scalable Frontend Performance Monitoring System at 哈啰

This article details 哈啰's front‑end performance monitoring architecture, covering the background of rapid growth, a three‑step optimization workflow, data collection, cleaning, aggregation, visualization, and practical techniques like pre‑rendering and offline packages to dramatically improve page load metrics.

Data PipelineOptimizationfrontend
0 likes · 30 min read
Building a Scalable Frontend Performance Monitoring System at 哈啰
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 3, 2021 · Operations

Optimizing Gray Release for iQIYI Mobile Backend Using Dogfooding

iQIYI’s mobile backend employs dogfooding‑driven gray releases with cloud‑controlled traffic, gray‑tag propagation, comprehensive front‑end and back‑end metrics, device white‑lists, and downstream service integration, allowing internal users to quickly verify code and configuration changes and catch issues before full production rollout.

BackendConfigurationGray Release
0 likes · 9 min read
Optimizing Gray Release for iQIYI Mobile Backend Using Dogfooding
dbaplus Community
dbaplus Community
Aug 21, 2021 · Operations

How ByteDance Scales Chaos Engineering with Scenario‑Driven Proactive Experiments

This article explains ByteDance's journey from basic fault‑injection testing to a production‑grade, scenario‑driven proactive chaos engineering platform that automates experiments, defines stability metrics, controls blast radius, and continuously validates service dependencies to improve system resilience.

MicroservicesScenario Testingchaos engineering
0 likes · 21 min read
How ByteDance Scales Chaos Engineering with Scenario‑Driven Proactive Experiments
DataFunSummit
DataFunSummit
Aug 8, 2021 · Artificial Intelligence

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

The article argues that diversity in recommendation systems should be treated as a means rather than an ultimate goal, explains why it is hard to quantify, suggests using real performance metrics such as click‑through rate and dwell time, and offers practical strategies to improve listwise ranking.

diversitylistwisemachine learning
0 likes · 7 min read
Diversity as a Means, Not an End, in Recommendation Systems
Qunhe Technology User Experience Design
Qunhe Technology User Experience Design
Aug 6, 2021 · Product Management

How to Systematically Prioritize Design Work in Fast‑Paced Product Iterations

This article outlines a systematic approach for designers to identify key priorities during rapid product iterations, covering business analysis, user segmentation, strategy formulation, implementation tactics, and data‑driven validation, using the real‑world case of the Ku Dashi (Cool Master) platform.

User Analysisdesign strategymetrics
0 likes · 10 min read
How to Systematically Prioritize Design Work in Fast‑Paced Product Iterations
Baidu Intelligent Testing
Baidu Intelligent Testing
Aug 3, 2021 · Operations

Stability Governance and Observability in Baidu Search: From Kepler 1.0 to Kepler 2.0

This article examines how Baidu Search achieves five‑nine‑plus availability by analyzing stability challenges, introducing the Kepler 1.0 observability stack, evolving to Kepler 2.0 with full‑trace collection, custom compression, and practical use‑cases that dramatically improve fault diagnosis and capacity management in a massive micro‑service environment.

Backendlarge-scale systemsmetrics
0 likes · 18 min read
Stability Governance and Observability in Baidu Search: From Kepler 1.0 to Kepler 2.0
MaGe Linux Operations
MaGe Linux Operations
Aug 1, 2021 · Operations

Master Prometheus PQL: Essential Queries, Functions, and Tips

This article provides a comprehensive guide to Prometheus' PQL language, covering instant and range vectors, metric types, label selectors, offsets, arithmetic and logical operators, as well as a wide range of built‑in functions with practical code examples for effective monitoring.

PQLPrometheusQuery Language
0 likes · 11 min read
Master Prometheus PQL: Essential Queries, Functions, and Tips
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 30, 2021 · Databases

How to Tackle MySQL Slow Queries: Metrics, Strategies, and Real Cases

This article explains what constitutes a MySQL slow query, why they cause failures, defines quantitative metrics such as micro‑average and macro‑average to assess severity, outlines target goals, presents concrete optimization examples, and shares operational practices for ongoing slow‑SQL governance.

Index OptimizationMySQLdatabase performance
0 likes · 13 min read
How to Tackle MySQL Slow Queries: Metrics, Strategies, and Real Cases
Java Interview Crash Guide
Java Interview Crash Guide
Jul 23, 2021 · Operations

How to Build a Scalable APM System: Inside the Dog Architecture

This article explains what an APM system is, compares logs, traces and metrics, reviews popular tools, and then details the design and implementation of the in‑house Dog APM platform—including client data models, Kafka pipelines, processing pipelines, storage in ClickHouse/Cassandra, and UI visualizations.

APMClickHouseKafka
0 likes · 28 min read
How to Build a Scalable APM System: Inside the Dog Architecture
Selected Java Interview Questions
Selected Java Interview Questions
Jul 7, 2021 · Operations

Redis Monitoring Metrics and Commands Guide

This article provides a comprehensive overview of Redis monitoring metrics—including performance, memory, basic activity, persistence, and error indicators—along with recommended monitoring tools, configuration settings, and command-line examples for gathering and interpreting these metrics in production environments.

OperationsPerformanceRedis
0 likes · 7 min read
Redis Monitoring Metrics and Commands Guide
Baidu Geek Talk
Baidu Geek Talk
Jun 30, 2021 · Operations

How Baidu Achieves 5‑9+ Availability: Inside Its Stability Engineering and Observability

This article dissects Baidu Search's ultra‑large micro‑service architecture, detailing the challenges of maintaining five‑nine‑plus availability, the diverse failure modes, and the step‑by‑step evolution of its observability stack—from early log‑only analysis to the kepler1.0/kepler2.0 tracing, full‑log indexing, custom span‑id generation, and compression techniques that together enable rapid root‑cause diagnosis at massive scale.

Baidu SearchObservabilityavailability engineering
0 likes · 21 min read
How Baidu Achieves 5‑9+ Availability: Inside Its Stability Engineering and Observability
Liangxu Linux
Liangxu Linux
Jun 29, 2021 · Operations

Mastering System Metrics: QPS, TPS, PV, UV, DAU, and MAU Explained

This article clarifies core web‑service metrics—QPS, TPS, PV, UV, DAU, MAU—explains their differences, shows how concurrency and throughput relate, and outlines key performance‑testing concepts and evaluation methods for modern system capacity planning.

PerformanceQPSSystem Design
0 likes · 9 min read
Mastering System Metrics: QPS, TPS, PV, UV, DAU, and MAU Explained
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 21, 2021 · R&D Management

Can Growth‑Hacking Principles Supercharge Software Development Efficiency?

By adapting growth‑hacking concepts such as north‑star metrics, conversion funnels, and A/B testing to the software development lifecycle, this article proposes a data‑driven “efficiency hacker” model that visualizes demand delivery paths, classifies tasks with the RIW framework, and guides teams toward faster, more transparent project outcomes.

AB TestingGrowth HackingR&D management
0 likes · 10 min read
Can Growth‑Hacking Principles Supercharge Software Development Efficiency?
Big Data Technology & Architecture
Big Data Technology & Architecture
May 26, 2021 · Big Data

Comprehensive Guide to Data Warehouse Concepts, Modeling, and Data Governance

This article provides an extensive overview of data warehouse fundamentals, including its purpose, core characteristics, layered architecture, modeling methods such as dimensional and normalization, as well as detailed discussions on data governance, metric systems, security standards, and practical implementation strategies for enterprise data management.

data warehousemetrics
0 likes · 70 min read
Comprehensive Guide to Data Warehouse Concepts, Modeling, and Data Governance
Efficient Ops
Efficient Ops
May 21, 2021 · Operations

How Anxin Securities Achieved Leading DevOps Level‑3 Continuous Delivery: Insights and Metrics

Anxin Securities’ CIO discusses how the company’s Internet Customer Service Platform passed the DevOps Standard Continuous Delivery Level 3 assessment, detailing the motivations, implementation challenges, measurable improvements, and future plans for scaling DevOps across its technology stacks.

Continuous DeliveryDevOpsDigital Transformation
0 likes · 13 min read
How Anxin Securities Achieved Leading DevOps Level‑3 Continuous Delivery: Insights and Metrics
dbaplus Community
dbaplus Community
May 18, 2021 · Operations

Mastering End‑to‑End Monitoring: From Purpose to Prometheus Implementation

This guide explains why monitoring is essential throughout a product lifecycle, outlines monitoring modes and methods, compares health checks, logs, tracing and metric solutions, and provides a detailed Prometheus‑based monitoring architecture with concrete metric definitions, alerting rules, and incident‑response procedures.

OperationsPrometheusalerting
0 likes · 25 min read
Mastering End‑to‑End Monitoring: From Purpose to Prometheus Implementation
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.

AgileR&D EfficiencyScrum
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.

KPIsR&D performanceSoftware Engineering
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.

AnalyticsOLAPbig data
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.

GoogleProject HealthSRE
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.

R&D managementecosysteminnovation network
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 ManagementObservabilityhybrid 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.

Operationsmetricsmicroservice
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.

ObservabilityOperationslogging
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.

ExporterGrafanaMySQL
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.

DevOpsOperationsautomation
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.

AIPlatformautomation
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.

MicrosoftOperationsmetrics
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.

Backend DevelopmentCachinghotel booking
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.

Platform Upgradeasset managementcase study
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.

DevOpsOperationsVisual Management
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.

HAKubernetesPrometheus
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.

FlowControlGoOpenSource
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.

Product DesignUXcase study
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.

LinuxOpen-Falconmetrics
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.

Software Engineeringcontinuous improvementmeasurement
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.

Open-FalconOperationsPerformance Monitoring
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.

metricsquality assurancesoftware testing
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.

Product Designe-commercefrontend
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 Modelingdata platformgovernance
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.

javametricsopen-source
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.

Log CollectionObservabilityfull‑link
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.

Observabilitygolangmetrics
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 IntelligenceData Analysis
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.

Operationsconstruction drawingmetrics
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 testingSoftware Engineeringbig data
0 likes · 19 min read
Design and Implementation of Youzan ABTest System for Data‑Driven Growth