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resource management

332 articles · Page 3 of 4
IT Architects Alliance
IT Architects Alliance
Sep 4, 2021 · Cloud Computing

Understanding Virtualization: How Abstracted Resources Power Modern IT

Virtualization is a resource management technique that abstracts physical servers, networks, memory, and storage into flexible virtual components, enabling higher utilization, isolation, and flexibility across software, hardware, memory, network, desktop, and service layers, with hypervisors like VMware ESXi, KVM, and Xen orchestrating multiple operating systems on a single physical host.

KVMVMwarehypervisor
0 likes · 4 min read
Understanding Virtualization: How Abstracted Resources Power Modern IT
OPPO Kernel Craftsman
OPPO Kernel Craftsman
Sep 3, 2021 · Operations

Understanding Linux cgroups: Mechanism, Data Structures, and Core Logic

Linux cgroups are a kernel mechanism that groups processes into hierarchical directories, each subsystem (e.g., freezer, CPU, memory, IO) exposing control files such as cgroup.procs and freezer.state, with core data structures like cgroup_subsys, cgroup, css_set linking threads to multiple subsystems and enabling resource policies, freezing, throttling, and allocation.

Linuxcgroupkernel
0 likes · 6 min read
Understanding Linux cgroups: Mechanism, Data Structures, and Core Logic
DataFunTalk
DataFunTalk
Aug 29, 2021 · Big Data

Building and Optimizing the Offline Computing Platform at Autohome: Challenges, Solutions, and Future Plans

This article details the evolution of Autohome's offline computing platform from a 50‑node cluster in 2013 to a multi‑thousand‑node Hadoop ecosystem, describing performance and stability challenges, multi‑tenant operational issues, low resource utilization, and the comprehensive technical solutions and future roadmap implemented to address them.

AI on HadoopMetaStoreOffline Computing
0 likes · 11 min read
Building and Optimizing the Offline Computing Platform at Autohome: Challenges, Solutions, and Future Plans
Sohu Tech Products
Sohu Tech Products
Aug 4, 2021 · Mobile Development

Comprehensive Guide to Reducing iOS App Package Size

This article presents a step‑by‑step guide for shrinking iOS app IPA size by leveraging App Thinning, removing unused image assets, compressing media, and eliminating dead code through tools like FengNiao, LSUnusedResources, AppCode, and LinkMap analysis.

App ThinningMobile Developmentapp size optimization
0 likes · 20 min read
Comprehensive Guide to Reducing iOS App Package Size
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 4, 2021 · Cloud Computing

How Partitioned Synchronization Scales Alibaba’s Massive Cloud Clusters

At USENIX ATC2021, Alibaba Cloud’s Fuxi 2.0 team presented a best‑paper‑award research showing how a partitioned‑synchronization (ParSync) scheduling architecture dramatically reduces conflicts and latency in ultra‑large production clusters, balancing efficiency, quality, and fairness without adding resources.

Cloud Computingcluster schedulinglarge-scale systems
0 likes · 17 min read
How Partitioned Synchronization Scales Alibaba’s Massive Cloud Clusters
dbaplus Community
dbaplus Community
Jul 19, 2021 · Cloud Native

Avoid These 10 Common Kubernetes Mistakes to Boost Reliability and Cost Efficiency

This article shares a practical guide to the most frequent Kubernetes pitfalls—from misconfigured resource requests and limits to improper liveness/readiness probes, load‑balancer settings, IAM misuse, pod anti‑affinity, and disruption budgets—offering concrete YAML examples and remediation steps to help operators run more reliable and cost‑effective clusters.

AutoscalingBest PracticesKubernetes
0 likes · 18 min read
Avoid These 10 Common Kubernetes Mistakes to Boost Reliability and Cost Efficiency
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 17, 2021 · Big Data

Comprehensive Guide to Presto: Origins, Architecture, Optimization, and Real‑World Applications

This article provides an in‑depth overview of Presto, covering its history, core principles, architectural components, query optimization techniques, resource management, tuning tips, data model, and case studies from companies like Didi and Youzan, offering practical guidance for deploying and operating the distributed SQL engine at scale.

OptimizationQuery EngineSQL
0 likes · 33 min read
Comprehensive Guide to Presto: Origins, Architecture, Optimization, and Real‑World Applications
IT Architects Alliance
IT Architects Alliance
Jun 3, 2021 · Cloud Computing

Cloud Computing Reference Architecture and Key Design Considerations

This article explains cloud computing reference architecture, illustrating private and hybrid cloud setups, and discusses essential design factors such as scalability, availability, manageability, feasibility, measurable resources, queue-based load balancing, error handling, and decoupling to build robust, cost‑effective cloud systems.

Cloud Computingarchitecturehybrid cloud
0 likes · 5 min read
Cloud Computing Reference Architecture and Key Design Considerations
Sohu Tech Products
Sohu Tech Products
May 26, 2021 · Mobile Development

Comprehensive Guide to iOS App Package Size Optimization

This article systematically explains how to analyze, reduce, and monitor iOS IPA package size by examining Xcode build settings, resource files, and code, providing detailed step‑by‑step configurations, tables of component sizes, practical scripts, and best‑practice recommendations for sustainable bundle‑size management.

Build SettingsMobile DevelopmentPackage Size
0 likes · 31 min read
Comprehensive Guide to iOS App Package Size Optimization
High Availability Architecture
High Availability Architecture
May 3, 2021 · Operations

Meituan Elastic Scaling System: Evolution, Challenges, and Business Enablement

This article introduces Meituan's elastic scaling platform, detailing its evolution from version 1.0 to 2.0, the technical and operational challenges faced, the strategies adopted for promotion and resource management, and several real‑world business scenarios where elastic scaling reduces cost and improves reliability.

Elastic ScalingMeituanoperations
0 likes · 24 min read
Meituan Elastic Scaling System: Evolution, Challenges, and Business Enablement
MaGe Linux Operations
MaGe Linux Operations
Apr 24, 2021 · Cloud Native

9 Proven Strategies to Slash Kubernetes Costs

Learn how to monitor, limit, and optimize Kubernetes expenses with nine practical techniques—including resource constraints, autoscaling, right-sized instances, Spot instances, sleep schedules, regular clean‑ups, and tagging—to dramatically reduce cloud costs while maintaining performance.

AWSCost OptimizationKubernetes
0 likes · 8 min read
9 Proven Strategies to Slash Kubernetes Costs
vivo Internet Technology
vivo Internet Technology
Apr 21, 2021 · Backend Development

Analysis of Apache Commons-Pool2 Object Pooling Implementation

The article examines Apache Commons‑Pool2’s object‑pool architecture, detailing its core interfaces (ObjectPool, PooledObjectFactory, PooledObject), the GenericObjectPool construction, FIFO/LIFO idle‑object deque management with lock‑based concurrency, borrowing and returning workflows, self‑protection features like abandonment detection, and the performance tuning needed for high‑concurrency environments.

ConcurrencyJavacommons-pool2
0 likes · 17 min read
Analysis of Apache Commons-Pool2 Object Pooling Implementation
High Availability Architecture
High Availability Architecture
Apr 15, 2021 · Cloud Native

Meituan Elastic Scaling System: Architecture, Challenges, and Business Enablement

This article presents Meituan's elastic scaling platform, detailing its evolution from Hulk 1.0 to Hulk 2.0, the technical and operational challenges faced, the solutions implemented for resource management and multi‑tenant scaling, and real‑world business scenarios such as holiday, peak‑hour, and emergency capacity provisioning.

Elastic ScalingMeituanoperations
0 likes · 22 min read
Meituan Elastic Scaling System: Architecture, Challenges, and Business Enablement
Meituan Technology Team
Meituan Technology Team
Apr 1, 2021 · Cloud Native

Meituan Elastic Scaling System: Architecture, Challenges, and Business Enablement

Meituan's elastic scaling system evolved from Hulk 1.0 on OpenStack to Hulk 2.0 on Kubernetes, adding micro‑services, quota management, hybrid‑cloud pools, and automated scheduling, thereby delivering cost savings, high‑availability handling of holiday peaks, delivery spikes, anti‑scraping needs, and SaaS releases, while future plans target stability, usability, and emerging technologies.

Elastic ScalingKubernetesMeituan
0 likes · 21 min read
Meituan Elastic Scaling System: Architecture, Challenges, and Business Enablement
Python Programming Learning Circle
Python Programming Learning Circle
Mar 29, 2021 · Fundamentals

Understanding Python Context Managers: Basics, Custom Implementations, and Advanced Applications

This article explains Python's context manager mechanism, covering the basic with statement, custom __enter__/__exit__ classes, the contextlib.contextmanager decorator, nesting, combining multiple managers with ExitStack, and practical applications such as SQLAlchemy session handling, exception management, and persistent HTTP requests.

DecoratorPythonSQLAlchemy
0 likes · 6 min read
Understanding Python Context Managers: Basics, Custom Implementations, and Advanced Applications
Big Data Technology & Architecture
Big Data Technology & Architecture
Mar 18, 2021 · Big Data

Flink Job Troubleshooting and Performance Optimization: Data Skew, Kafka Configuration, Resource Management, and Checkpoint Issues

This article details common Flink streaming problems such as data skew causing task back‑pressure, oversized Kafka messages, high‑throughput ack settings, slot removal errors, checkpoint timeouts, and resource constraints, and provides concrete configuration changes and architectural adjustments to resolve them.

CheckpointData SkewFlink
0 likes · 18 min read
Flink Job Troubleshooting and Performance Optimization: Data Skew, Kafka Configuration, Resource Management, and Checkpoint Issues
dbaplus Community
dbaplus Community
Mar 16, 2021 · Big Data

How Kuaishou Scales YARN to Tens of Thousands of Nodes with the Kwai Scheduler

This article explains how Kuaishou’s massive offline compute clusters—tens of thousands of machines processing hundreds of petabytes daily—are managed by a heavily customized YARN stack and the home‑grown Kwai Scheduler, detailing architecture, scheduler evolution, multi‑scenario optimizations, and future scaling plans.

Cluster OptimizationKwai SchedulerLarge-Scale Scheduling
0 likes · 14 min read
How Kuaishou Scales YARN to Tens of Thousands of Nodes with the Kwai Scheduler
DataFunTalk
DataFunTalk
Feb 28, 2021 · Big Data

Migrating Youzan Offline Spark Platform to Kubernetes: Architecture, Optimizations, and Lessons Learned

This article details how Youzan's offline Spark computing platform was transformed for the cloud‑native era by migrating from YARN to Kubernetes, introducing containerization, storage‑compute separation, dynamic allocation, deployment optimizations, and a collection of practical lessons to reduce cost and improve resource utilization.

KubernetesPerformance OptimizationSpark
0 likes · 27 min read
Migrating Youzan Offline Spark Platform to Kubernetes: Architecture, Optimizations, and Lessons Learned
Selected Java Interview Questions
Selected Java Interview Questions
Feb 8, 2021 · Fundamentals

Understanding Memory Leaks and Memory Overflow: Causes, Types, and Solutions

Memory leaks, caused by unreleased dynamic allocations, can accumulate and lead to memory overflow, severely degrading performance or crashing applications; this article explains leak definitions, causes, classifications (persistent, intermittent, one‑time, implicit), overflow reasons, and practical mitigation steps such as proper allocation, deallocation, and JVM tuning.

JVMMemory Leakdynamic allocation
0 likes · 9 min read
Understanding Memory Leaks and Memory Overflow: Causes, Types, and Solutions
360 Smart Cloud
360 Smart Cloud
Jan 28, 2021 · Big Data

Overview of the Qirin Big Data Platform: Architecture, Modules, and Capabilities

The article provides a comprehensive overview of the Qirin big‑data platform, detailing its architecture, core modules such as resource management, metadata, data ingestion, task development, interactive query, and self‑service analysis, and outlines future development plans for the system.

Data Ingestiondata platforminteractive query
0 likes · 12 min read
Overview of the Qirin Big Data Platform: Architecture, Modules, and Capabilities
Top Architect
Top Architect
Jan 24, 2021 · Cloud Native

Common Docker Compose Mistakes and How to Fix Them

This article examines common pitfalls when using Docker Compose for containerized development, such as frequent rebuilds, slow host volumes, fragile configurations, and resource mismanagement, and provides practical solutions including caching strategies, host volume tuning, env files, overrides, and resource allocation tips.

Docker ComposeHost Volumesdevelopment workflow
0 likes · 18 min read
Common Docker Compose Mistakes and How to Fix Them
360 Tech Engineering
360 Tech Engineering
Jan 7, 2021 · Big Data

Overview of the Qirin Big Data Platform Architecture and Core Modules

The article introduces the Qirin big data platform—a one‑stop solution covering resource management, metadata, data ingestion, task development, interactive querying, and self‑service analysis—detailing its modular architecture, typical processing workflow, and future development plans for enterprise‑wide data services.

Data Ingestionbig datadata platform
0 likes · 11 min read
Overview of the Qirin Big Data Platform Architecture and Core Modules
DataFunTalk
DataFunTalk
Jan 6, 2021 · Big Data

Didi's Presto Engine: Architecture, Optimizations, and Operational Practices

This article presents Didi's three‑year experience with Presto, detailing its architecture, low‑latency design, large‑scale deployment, extensive Hive compatibility work, resource isolation, Druid connector integration, usability enhancements, stability engineering, performance tuning, and future directions for the ad‑hoc query engine.

Druid ConnectorPerformance OptimizationSQL Engine
0 likes · 17 min read
Didi's Presto Engine: Architecture, Optimizations, and Operational Practices
Top Architect
Top Architect
Dec 14, 2020 · Cloud Native

Lessons Learned from Two Years of Production Kubernetes at Grofers

This article recounts Grofers' two‑year journey migrating from Ansible‑managed EC2 instances to Kubernetes, detailing the motivations, migration strategy, operational challenges, observability choices, CI/CD tooling, resource management, security practices, cost considerations, and the overall impact on development velocity and platform stability.

CI/CDDevOpsKubernetes
0 likes · 20 min read
Lessons Learned from Two Years of Production Kubernetes at Grofers
Didi Tech
Didi Tech
Nov 24, 2020 · Industry Insights

Standardizing Customer Service: Inside DiDi’s Solution Platform Architecture

This article explains how DiDi built a unified solution platform that standardizes customer‑service responses across multiple channels by integrating business information, service capabilities, dynamic workflows, static knowledge bases, and a matching layer, while detailing the underlying workflow and resource engines and their performance impact.

Customer ServiceStandardizationarchitecture
0 likes · 15 min read
Standardizing Customer Service: Inside DiDi’s Solution Platform Architecture
Liangxu Linux
Liangxu Linux
Oct 13, 2020 · Fundamentals

Why Understanding OS Fundamentals Boosts Your Programming Efficiency

This article explains the basic concepts of operating systems, covering their role as a hardware abstraction layer, the distinction between kernel and user modes, and how OS resource management (time‑sharing and space‑sharing) enables multiple programs to run safely and efficiently.

abstractionfundamentalskernel-mode
0 likes · 10 min read
Why Understanding OS Fundamentals Boosts Your Programming Efficiency
Architecture Digest
Architecture Digest
Oct 9, 2020 · Operations

Troubleshooting Alibaba Cloud Video On Demand Service: Billing Issues, Resource Deletion, and Recovery Steps

This article recounts a real‑world incident where Alibaba Cloud Video On Demand videos became inaccessible due to a tiny overseas charge causing a negative balance, explains how to diagnose the problem, outlines the steps taken to restore service, and shares practical lessons for cloud operations.

Alibaba CloudVideo on Demandbilling
0 likes · 6 min read
Troubleshooting Alibaba Cloud Video On Demand Service: Billing Issues, Resource Deletion, and Recovery Steps
JD.com Experience Design Center
JD.com Experience Design Center
Sep 23, 2020 · Operations

Boost B2B Operations Efficiency with Template‑Based Design

B‑end operational activities often involve frequent, short‑term, high‑pressure tasks that drain design resources, so this article explains how generic design templates and collaborative online tools can streamline these demands, freeing up manpower and improving overall operational efficiency.

B2Bdesign templatesoperations
0 likes · 2 min read
Boost B2B Operations Efficiency with Template‑Based Design
Efficient Ops
Efficient Ops
Sep 15, 2020 · Cloud Native

Mastering Kubernetes YAML: How to Drive Resource Management Efficiently

This article explores how YAML files serve as the pivotal interface for managing Kubernetes resources, detailing their role in defining storage, compute, network, and application configurations, and demonstrating practical deployment, service, and ingress creation to streamline operations and enhance platform stability.

DevOpsKubernetesYAML
0 likes · 10 min read
Mastering Kubernetes YAML: How to Drive Resource Management Efficiently
Sohu Tech Products
Sohu Tech Products
Sep 2, 2020 · Fundamentals

LegoOS: A Distributed Operating System for Disaggregated Hardware – Architecture and Design Overview

This article reviews the award‑winning 2018 OSDI paper LegoOS, describing its split‑kernel architecture, component‑based resource management across processors, memory and storage, and how it enables hardware disaggregation in data‑center clusters while addressing network latency and failure handling.

OS Architecturedistributed systemshardware disaggregation
0 likes · 17 min read
LegoOS: A Distributed Operating System for Disaggregated Hardware – Architecture and Design Overview
TAL Education Technology
TAL Education Technology
Sep 1, 2020 · Cloud Computing

Cost Optimization and Resource Management in an Online Education Platform: From XEN Migration to Container‑Based Scaling

This article describes how an online education platform reduced infrastructure costs and improved service reliability by replacing XEN with KVM, building resource‑tracking platforms, adopting Kubernetes‑based containerization, implementing rapid auto‑scaling, and establishing systematic resource auditing and standardization processes.

Cloud ComputingContainerizationCost Optimization
0 likes · 25 min read
Cost Optimization and Resource Management in an Online Education Platform: From XEN Migration to Container‑Based Scaling
iQIYI Technical Product Team
iQIYI Technical Product Team
Aug 28, 2020 · Operations

iQIYI Test Environment Management Platform: Design, Challenges, and Solutions

iQIYI’s Test Environment Management Platform centralizes topology and deployment scripts, automates on‑demand environment provisioning, and isolates QA resources, cutting deployment time from up to 60 minutes to an average of four minutes, boosting success rates above 95 % while supporting thousands of daily deployments across hundreds of applications.

DevOpsTest EnvironmentiQIYI
0 likes · 8 min read
iQIYI Test Environment Management Platform: Design, Challenges, and Solutions
NetEase Media Technology Team
NetEase Media Technology Team
Aug 13, 2020 · Cloud Native

How NetEase Media Scaled Its Infrastructure with Containerization and Service Mesh

NetEase Media transformed its infrastructure by containerizing services, establishing multiple resource pools, implementing a ServiceMesh with NSF, and isolating beta and production environments, resulting in higher CPU utilization, automated scaling, and improved stability, while sharing lessons learned and future plans.

ContainerizationInfrastructureKubernetes
0 likes · 22 min read
How NetEase Media Scaled Its Infrastructure with Containerization and Service Mesh
Java Architect Essentials
Java Architect Essentials
Aug 12, 2020 · Operations

Common Kubernetes Pitfalls and How to Fix Them

This article outlines frequent Kubernetes operational mistakes—such as misconfigured resource requests, missing probes, improper load‑balancer exposure, naïve autoscaling, IAM/RBAC misuse, lack of anti‑affinity, absent PodDisruptionBudgets, multi‑tenant pitfalls, and suboptimal externalTrafficPolicy—providing concrete remediation steps and best‑practice code examples.

AutoscalingBest PracticesKubernetes
0 likes · 15 min read
Common Kubernetes Pitfalls and How to Fix Them
Architect
Architect
Jul 15, 2020 · Big Data

Understanding Flink Task Slots, Resource Allocation, and Slot Sharing Mechanisms

This article explains how Flink uses task slots to partition TaskManager resources, the benefits of slot sharing, the interaction between Scheduler, SlotPool, and ResourceManager, and the internal classes such as LogicalSlot, PhysicalSlot, and SlotSharingManager that enable resource isolation and sharing in stream processing jobs.

FlinkTask Slotbig data
0 likes · 6 min read
Understanding Flink Task Slots, Resource Allocation, and Slot Sharing Mechanisms
Programmer DD
Programmer DD
Jul 11, 2020 · Backend Development

What Makes ElasticJob the Next‑Generation Distributed Scheduler?

ElasticJob is a Java‑based distributed scheduling framework that blends Quartz‑style job timing with ZooKeeper coordination, offering lightweight Lite and cloud‑native Cloud editions, elastic scaling, resource governance, and a roadmap toward Kubernetes support and plug‑in extensibility.

ElasticJobKubernetesMesos
0 likes · 15 min read
What Makes ElasticJob the Next‑Generation Distributed Scheduler?
DataFunTalk
DataFunTalk
Jul 5, 2020 · Big Data

ByteDance’s Optimizations to Hadoop YARN: Enhancing Utilization, Multi‑Load Scenarios, Stability, and Multi‑Region Active‑Active

This article describes ByteDance’s four‑year series of customizations to Hadoop YARN—covering utilization improvements, multi‑load scenario optimizations, stability enhancements, and multi‑region active‑active deployment—along with practical production experiences, architectural details, and future work directions.

ByteDanceCluster OptimizationHadoop
0 likes · 12 min read
ByteDance’s Optimizations to Hadoop YARN: Enhancing Utilization, Multi‑Load Scenarios, Stability, and Multi‑Region Active‑Active
Architect
Architect
Jul 4, 2020 · Big Data

Kuaishou Flink Real‑Time Architecture and Spring Festival Gala Assurance Practices

This article details Kuaishou's Flink‑based real‑time computing architecture, its massive cluster scale, and the comprehensive strategies—including overload protection, system stability, pressure testing, and resource guarantees—implemented to ensure reliable streaming for the 2020 Spring Festival Gala and its real‑time dashboard.

FlinkKuaishouSpring Festival Gala
0 likes · 12 min read
Kuaishou Flink Real‑Time Architecture and Spring Festival Gala Assurance Practices
Fulu Network R&D Team
Fulu Network R&D Team
Jun 8, 2020 · Frontend Development

Design and Implementation of a Micro‑Frontend Architecture for Internal Systems

This article presents a comprehensive technical study on adopting micro‑frontend architecture to solve version‑dependency, resource‑size, and navigation‑performance issues in a large internal system suite, detailing background analysis, solution research, layered architecture design, key technical challenges, custom webpack plugins, build workflow, and remaining open problems.

Frontend Architecturemicro‑frontendresource management
0 likes · 14 min read
Design and Implementation of a Micro‑Frontend Architecture for Internal Systems
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 8, 2020 · Big Data

Common Apache Flink Exceptions and How to Resolve Them

This article enumerates typical Apache Flink deployment, job, and checkpoint errors—such as JDK version issues, resource shortages, task manager timeouts, and state migration problems—and provides practical troubleshooting steps and configuration tips to help engineers quickly diagnose and fix these failures.

CheckpointExceptionFlink
0 likes · 8 min read
Common Apache Flink Exceptions and How to Resolve Them
Big Data Technology & Architecture
Big Data Technology & Architecture
Feb 13, 2020 · Big Data

Optimizing Hadoop MapReduce Jobs for eBay CAL System to Reduce Execution Time and Resource Usage

This article describes how eBay's Central Application Logging (CAL) system generates massive daily logs, the challenges of Hadoop MapReduce job performance and resource consumption, and the step‑by‑step optimizations—reducing GC time, mitigating data skew, and improving algorithms—that cut execution time by over 60%, lowered cluster resource usage, and raised job success rates to nearly 100%.

Data SkewGCHadoop
0 likes · 11 min read
Optimizing Hadoop MapReduce Jobs for eBay CAL System to Reduce Execution Time and Resource Usage
58UXD
58UXD
Jan 15, 2020 · Product Management

How We Built the "Crystal Ball" Design Resource Platform from Scratch

This case study details how the design team created the Crystal Ball platform—a shared, visualized design resource hub—to solve low search efficiency, duplicate purchases, and budget waste, outlining research, planning, naming, branding, development phases, iterations, and measurable impact on productivity.

Design PlatformUXbranding
0 likes · 8 min read
How We Built the "Crystal Ball" Design Resource Platform from Scratch
58 Tech
58 Tech
Jan 6, 2020 · Big Data

Design and Architecture of the 58DP Big Data Platform Task Scheduling System

The article presents a comprehensive overview of the 58DP big data platform's task scheduling system, detailing its background, architecture, high‑availability design, slot‑based resource management, scheduling models, task lifecycle, priority rules, dependency handling, failure recovery, and future enhancements.

big datadistributed systemresource management
0 likes · 14 min read
Design and Architecture of the 58DP Big Data Platform Task Scheduling System
JD Retail Technology
JD Retail Technology
Dec 17, 2019 · Mobile Development

Comprehensive Strategies for Reducing iOS App Package Size in a Large‑Scale E‑commerce Application

This article details a two‑phase, data‑driven approach to shrinking a rapidly growing iOS shopping app from over 300 MB to around 214 MB by focusing on install‑size metrics, resource‑file analysis, unused‑image removal, icon‑font adoption, dynamic‑library stripping, LTO, PNG handling, and automated monitoring.

Dynamic LibrariesMobile Developmentapp size optimization
0 likes · 22 min read
Comprehensive Strategies for Reducing iOS App Package Size in a Large‑Scale E‑commerce Application
Youku Technology
Youku Technology
Nov 26, 2019 · Operations

Resource Assurance Strategies and Practices for Alibaba Youku Double‑11 Promotion

The article outlines Alibaba Youku’s end‑to‑end resource‑assurance platform for Double‑11 promotions, detailing automated demand collection, business‑to‑technical metric conversion, single‑machine capacity testing, rapid scaling and emergency borrowing, which together cut manual reviews by 80 % and boosted delivery efficiency tenfold.

Capacity Planningautomationlarge‑scale promotion
0 likes · 13 min read
Resource Assurance Strategies and Practices for Alibaba Youku Double‑11 Promotion
Tencent Cloud Developer
Tencent Cloud Developer
Oct 11, 2019 · Cloud Computing

Large-Scale Distributed Reinforcement Learning Solution Based on TKE

The project replaces cumbersome manual management of thousands of heterogeneous CPU and GPU nodes for large‑scale reinforcement learning with a TKE‑based, containerized actor‑learner architecture that automates batch start/stop, provides elastic autoscaling, fault‑tolerant processes, shared model storage, and CI‑driven image deployment, cutting costs by up to two‑thirds while dramatically speeding experiment cycles.

CI/CDDistributed TrainingKubernetes
0 likes · 14 min read
Large-Scale Distributed Reinforcement Learning Solution Based on TKE
Efficient Ops
Efficient Ops
Sep 23, 2019 · Operations

How to Build an Effective CMDB for Scalable Operations Management

This article explains the step‑by‑step process of constructing a configuration management database (CMDB) for operations, covering resource modeling, data integration, organizational structures, maintenance methods, and how a well‑designed CMDB supports higher‑level business operations such as automation, visualization, and capacity planning.

CMDBITILautomation
0 likes · 14 min read
How to Build an Effective CMDB for Scalable Operations Management
Big Data Technology & Architecture
Big Data Technology & Architecture
Sep 19, 2019 · Big Data

Performance Optimization Practices for Meituan's Hadoop YARN Fair Scheduler

This article presents a comprehensive analysis of Meituan's Hadoop YARN fair scheduler, detailing its architecture, resource abstractions, scheduling workflow, performance bottlenecks, fine‑grained metrics, and a series of optimization techniques—including sorting improvements, job‑skip reduction, parallel queue sorting, and robust rollout strategies—to achieve high‑throughput, low‑latency scheduling for large‑scale offline, streaming, and machine‑learning workloads.

Fair SchedulerPerformance OptimizationYARN
0 likes · 24 min read
Performance Optimization Practices for Meituan's Hadoop YARN Fair Scheduler
FunTester
FunTester
Aug 29, 2019 · Backend Development

Properly Releasing Resources with Apache HttpClient 4.5: Best Practices

This article explains why releaseConnection() is deprecated in HttpClient 4.5, introduces the PoolingHttpClientConnectionManager, and provides detailed code examples and step‑by‑step guidance for safely extracting response content, closing responses, consuming entities, releasing connections, and shutting down the HttpClient.

ApacheBackendHttpClient
0 likes · 4 min read
Properly Releasing Resources with Apache HttpClient 4.5: Best Practices
Meituan Technology Team
Meituan Technology Team
Aug 1, 2019 · Big Data

Performance Optimization Practices for Meituan's Hadoop YARN Fair Scheduler

Meituan improved its custom Hadoop YARN Fair Scheduler by pre‑computing resource usage, filtering zero‑demand jobs, and parallelizing queue sorting, which reduced sorting time from 30 s to 5 s per minute, boosted container‑per‑second throughput to 50 k, enabled live roll‑backs, and prepared the system for clusters up to 10 k nodes and future scaling to hundreds of thousands.

Fair SchedulerHadoopYARN
0 likes · 24 min read
Performance Optimization Practices for Meituan's Hadoop YARN Fair Scheduler
Alibaba Cloud Native
Alibaba Cloud Native
Jul 17, 2019 · Cloud Native

Why Traditional Autoscaling Fails in Kubernetes and How Cloud‑Native Solutions Evolve

The article examines the limitations of traditional threshold‑based autoscaling in Kubernetes, explains three core challenges—percentage fragmentation, capacity‑planning pitfalls, and resource‑utilization dilemmas—then expands the autoscaling concept across four workload types and outlines the cloud‑native components that address them.

HPAKubernetescloud-native
0 likes · 10 min read
Why Traditional Autoscaling Fails in Kubernetes and How Cloud‑Native Solutions Evolve
NetEase Media Technology Team
NetEase Media Technology Team
Jun 20, 2019 · Cloud Native

Deep Dive into Docker and Kubernetes Resource Management Using Linux Namespaces and Cgroups

The article explains how Docker and Kubernetes use Linux namespaces to isolate processes, network, IPC, mounts, UTS and users, and employ cgroups to enforce CPU, memory and I/O limits, detailing Docker’s architecture, Kubernetes’s millicore‑based resource model, QoS classes, and the hierarchical pod‑level cgroup structure.

DockerKubernetesLinux namespaces
0 likes · 41 min read
Deep Dive into Docker and Kubernetes Resource Management Using Linux Namespaces and Cgroups
Qunar Tech Salon
Qunar Tech Salon
Jun 11, 2019 · Fundamentals

Understanding Python __init__ and __del__ Methods: Constructors, Destructors, and Resource Management

This article explains how Python uses the special __init__ and __del__ methods to emulate constructors and destructors, discusses the language's reference‑counting garbage collector, demonstrates common pitfalls with __del__, and presents safer alternatives such as context managers and weak references for resource cleanup.

Pythoncontext managerdestructor
0 likes · 7 min read
Understanding Python __init__ and __del__ Methods: Constructors, Destructors, and Resource Management
21CTO
21CTO
May 24, 2019 · Operations

How Meituan’s R&D Team Cut Tens of Millions in Resource Costs: A Practical Guide

This article details Meituan's R&D team's systematic PDCA‑based approach to resource cost optimization, covering methodology definition, planning, execution, checking, and iterative improvement across infrastructure, big‑data, and shared services, ultimately saving tens of millions of yuan.

Cost OptimizationPDCAbig data
0 likes · 22 min read
How Meituan’s R&D Team Cut Tens of Millions in Resource Costs: A Practical Guide
Didi Tech
Didi Tech
Apr 4, 2019 · Artificial Intelligence

DiDi Machine Learning Platform: From Workshop‑Style Production to Cloud‑Native Architecture

Since 2016 DiDi has evolved its machine‑learning platform from isolated, workshop‑style GPU servers to a cloud‑native, Kubernetes‑driven architecture that unifies resource management, introduces custom parameter‑server and serving frameworks, provides autotuning, external SaaS offerings such as Elastic Inference and JianShu, and aims for a 3.0 unified internal‑external AI marketplace.

AI infrastructureGPU computingKubernetes
0 likes · 19 min read
DiDi Machine Learning Platform: From Workshop‑Style Production to Cloud‑Native Architecture
Cloud Native Technology Community
Cloud Native Technology Community
Mar 20, 2019 · Cloud Native

Kubernetes Architecture Analysis and Comparison of Scheduling Models with Mesos

This article explains the Kubernetes architecture, details each core component, demonstrates how a Deployment is created, and critically compares Kubernetes' two‑layer scheduling model with Mesos, evaluating resource utilization, scalability, flexibility, performance, and scheduling latency while discussing why cluster schedulers struggle with horizontal scaling.

KubernetesMesoscloud-native
0 likes · 15 min read
Kubernetes Architecture Analysis and Comparison of Scheduling Models with Mesos
Ctrip Technology
Ctrip Technology
Dec 26, 2018 · Databases

CTrip’s Large‑Scale Redis Containerization: Architecture, Practices, and Lessons Learned

This article details CTrip’s experience of containerizing a 200 TB+ Redis deployment with millions of queries per second, covering the motivations, architecture, Kubernetes strategies, performance testing, operational challenges, and the practical solutions they devised to achieve high scalability and resource efficiency.

ContainerizationKubernetesPerformance
0 likes · 15 min read
CTrip’s Large‑Scale Redis Containerization: Architecture, Practices, and Lessons Learned
Efficient Ops
Efficient Ops
Oct 21, 2018 · Operations

How Alibaba Scales Resource Operations for Massive Events like Double 11

In this talk, Alibaba engineer Yang Yi explains the evolution of resource operation and DevOps at Alibaba, covering the shift from manual tasks to containerized, automated platforms, the challenges of large‑scale scheduling, cost reduction strategies for events such as Double 11, and the move toward intelligent, ops‑less infrastructure.

AlibabaScalable Operationsresource management
0 likes · 18 min read
How Alibaba Scales Resource Operations for Massive Events like Double 11
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 16, 2018 · Operations

Alibaba’s OS, Storage, and Resource Management Highlights from OSDI'18

The 13th OSDI conference in Carlsbad attracted over 650 attendees, featuring 47 accepted papers and three Best Papers—two led by Chinese students—while Alibaba showcased its latest OS kernel (AliKernel), next‑generation distributed storage system Pangu 2.0, and the large‑scale resource manager Sigma, sparking lively discussions among global experts.

AlibabaOSDIdistributed storage
0 likes · 8 min read
Alibaba’s OS, Storage, and Resource Management Highlights from OSDI'18
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 28, 2018 · Mobile Development

How iQIYI’s Neptune Enables Seamless Android Plugin Architecture

This article analyzes iQIYI’s Neptune plugin framework, explaining why pluginization is needed, the core technical principles of class and resource loading, lifecycle management, and how Neptune implements multi‑ClassLoader isolation, resource handling, context wrapping, and incremental updates for large‑scale Android apps.

AndroidClassLoaderDynamic Loading
0 likes · 18 min read
How iQIYI’s Neptune Enables Seamless Android Plugin Architecture
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Aug 21, 2018 · Cloud Native

Kubernetes Namespace Resource Quotas: Set Defaults, Limits, and Enforce Policies

This guide explains how Kubernetes namespace-level resource management lets administrators set default CPU/memory requests, define minimum and maximum constraints, and enforce resource quotas, with step‑by‑step commands and YAML examples to create namespaces, ResourceQuota objects, and pods while handling quota limits.

KubernetesResourceQuotacloud-native
0 likes · 9 min read
Kubernetes Namespace Resource Quotas: Set Defaults, Limits, and Enforce Policies
Architecture Digest
Architecture Digest
Jul 19, 2018 · Operations

How to Prevent System Failures: Suspect Third‑Party Services, Guard Consumers, and Strengthen Your Own Service

The article presents practical strategies for avoiding service failures by treating third‑party dependencies as unreliable, designing robust APIs for consumers, and applying solid engineering principles such as degradation plans, timeout settings, traffic control, and resource‑limiting techniques.

API Designfault tolerancereliability
0 likes · 16 min read
How to Prevent System Failures: Suspect Third‑Party Services, Guard Consumers, and Strengthen Your Own Service
Efficient Ops
Efficient Ops
Jul 9, 2018 · Databases

How YY Scaled Its Database Platform: From Manual Ops to Intelligent Automation

This article details YY's journey in transforming its database operations—from early quality and efficiency challenges to a multi‑stage platform that automates resource pooling, high‑availability proxy, cost control, quality monitoring, and security, outlining future intelligent extensions.

Cost OptimizationSecuritydatabase operations
0 likes · 16 min read
How YY Scaled Its Database Platform: From Manual Ops to Intelligent Automation
JD Tech
JD Tech
Jul 9, 2018 · Big Data

JD's Large‑Scale Hadoop Cluster Resource Management and Scheduling Architecture

This article describes how JD built a multi‑regional, ten‑thousand‑node Hadoop ecosystem, unified resource management with YARN, introduced a three‑level Router scheduling layer, optimized performance, and integrated deep‑learning frameworks to achieve high availability, cost efficiency, and scalable big‑data processing.

HadoopJD.comYARN
0 likes · 12 min read
JD's Large‑Scale Hadoop Cluster Resource Management and Scheduling Architecture
Ctrip Technology
Ctrip Technology
Jul 3, 2018 · Big Data

Ctrip's Presto Engine: Challenges, Improvements, and Upgrade Roadmap

This article details Ctrip's experience with the Presto distributed SQL engine, outlining the initial performance and stability issues, the comprehensive enhancements made in security, resource control, compatibility, and monitoring, and the multi‑stage upgrade plan that guides its future evolution.

KerberosPerformance OptimizationQuery Engine
0 likes · 11 min read
Ctrip's Presto Engine: Challenges, Improvements, and Upgrade Roadmap
DataFunTalk
DataFunTalk
Jun 24, 2018 · Big Data

OPPO Big Data Platform Operations and R&D Practices: Architecture, Scaling, and Monitoring

This article summarizes OPPO's rapid growth of its big‑data platform, detailing the three‑layer architecture, the evolution from Flume‑Kafka to NiFi for data ingestion, the upgrade of the OFlow task scheduler, comprehensive monitoring of data, resources and task SLA, and the development of a self‑service analytics tool called InnerEye to ensure stability, efficiency, and security.

AirflowNiFibig data
0 likes · 10 min read
OPPO Big Data Platform Operations and R&D Practices: Architecture, Scaling, and Monitoring
Alibaba Cloud Native
Alibaba Cloud Native
Jun 21, 2018 · Operations

How Scheduling Algorithms Power Efficient Data Center Resource Management

This article explains how modern data centers rely on cluster resource management systems and sophisticated scheduling algorithms to allocate containers across machines, improve application availability, reduce costs, and meet diverse constraints, while also introducing Alibaba’s global scheduling algorithm competition and its challenge details.

Competitiondata centerresource management
0 likes · 11 min read
How Scheduling Algorithms Power Efficient Data Center Resource Management
Architects' Tech Alliance
Architects' Tech Alliance
May 14, 2018 · Big Data

Understanding Hadoop MapReduce Architecture and YARN: Components, Workflow, and Optimization

This article explains Hadoop's distributed storage and processing framework, details the MapReduce programming model, describes the classic JobTracker/TaskTracker architecture, outlines the shuffle and combine phases, and introduces YARN as a scalable replacement with its ResourceManager, ApplicationMaster, and NodeManager components.

HadoopMapReduceYARN
0 likes · 13 min read
Understanding Hadoop MapReduce Architecture and YARN: Components, Workflow, and Optimization
Tencent Cloud Developer
Tencent Cloud Developer
May 3, 2018 · Operations

Tencent Cloud Kafka Automated Operations Practices

Tencent Cloud’s senior engineer Yang Yuan explains how their managed Kafka service tackles version diversity, resource allocation, dynamic scaling, broker addition/removal, and partition migration using versioned clusters, bin‑packing algorithms, penalty weighting, and predictive scheduling to sustain trillions of messages and billions of messages per minute.

Kafkaoperations automationresource management
0 likes · 14 min read
Tencent Cloud Kafka Automated Operations Practices
Senior Brother's Insights
Senior Brother's Insights
Apr 8, 2018 · Blockchain

How EOS.IO Redefines Scalable Blockchain Architecture with DPOS and Parallel Execution

EOS.IO introduces a novel blockchain architecture that combines delegated proof‑of‑stake consensus, OS‑like account and permission models, deterministic parallel transaction execution, and flexible resource and governance mechanisms, enabling million‑user scale, low‑latency, fee‑free decentralized applications while addressing security, upgradeability, and cross‑chain communication.

DPOSEOSIOgovernance
0 likes · 36 min read
How EOS.IO Redefines Scalable Blockchain Architecture with DPOS and Parallel Execution
Tencent Cloud Developer
Tencent Cloud Developer
Mar 20, 2018 · Cloud Native

A Comprehensive Guide to Terraform Provider Development

This guide walks readers through building a Terraform provider in Go, explaining its architecture, key files such as main.go and provider.go, implementing CRUD functions that call the Tencent Cloud SDK, handling Terraform’s lifecycle, and writing unit tests with the testAccProviders framework.

Cloud InfrastructureGo ProgrammingProvider Development
0 likes · 15 min read
A Comprehensive Guide to Terraform Provider Development
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 8, 2018 · Operations

How Cainiao Ark’s Elastic Scheduling Boosts Resource Efficiency and Cuts Costs

This article explains why Cainiao needed an elastic scheduling system, how its unique business and technical characteristics make it ideal for such a solution, and details the architecture, decision‑making layers, strategies, and real‑world results that together improve resource utilization, stability, and cost efficiency.

Cainiao ArkCloud Operationsauto-scaling
0 likes · 27 min read
How Cainiao Ark’s Elastic Scheduling Boosts Resource Efficiency and Cuts Costs
AntTech
AntTech
Mar 1, 2018 · Operations

Intelligent Scheduling in Customer Service: Architecture, Challenges, and Future Directions

The article examines how intelligent scheduling combines AI-driven bots and human agents to dynamically allocate customer service resources, addressing market slowdown, complex business structures, and operational pain points through perception, decision‑making, and execution capabilities, while outlining current implementations and future plans at Ant Financial.

AICustomer Serviceintelligent scheduling
0 likes · 14 min read
Intelligent Scheduling in Customer Service: Architecture, Challenges, and Future Directions
Architecture Digest
Architecture Digest
Jan 2, 2018 · Information Security

Understanding the Essence of Permissions: Resources, Access, and Authorization Models

This article explains the fundamental nature of permissions as limited licensed access to protected resources, defines what constitutes a resource in software, outlines resource identification and limitation, and describes permission classifications, control models, and authorization mechanisms such as role‑based access.

Access ControlAuthorizationRole-Based Access
0 likes · 7 min read
Understanding the Essence of Permissions: Resources, Access, and Authorization Models
Qunar Tech Salon
Qunar Tech Salon
Nov 8, 2017 · Operations

Evolution of Ele.me's Operations Infrastructure: From 1.0 to 2.0 – Standardization, Automation, and Data‑Driven Management

The article recounts Ele.me's rapid growth and the resulting operational challenges, describing how the company progressed from ad‑hoc 1.0 practices to a standardized, automated 2.0 infrastructure built on ZStack private cloud, fine‑grained operations, and data‑driven management to improve quality, efficiency, and cost.

Standardizationmonitoringresource management
0 likes · 21 min read
Evolution of Ele.me's Operations Infrastructure: From 1.0 to 2.0 – Standardization, Automation, and Data‑Driven Management
UCloud Tech
UCloud Tech
Oct 20, 2017 · Cloud Computing

Inside UCloud’s Compute Factory: Scaling VMs and Containers with Mesos

UCloud’s Compute Factory enables rapid provisioning of massive VM resources for compute‑intensive services by leveraging a Mesos‑based resource management platform that unifies multi‑region data centers, supports both VMs and containers, and addresses challenges in scheduling, networking, storage, and operational reliability.

Cloud ComputingMesosUCloud
0 likes · 14 min read
Inside UCloud’s Compute Factory: Scaling VMs and Containers with Mesos
Meituan Technology Team
Meituan Technology Team
Oct 12, 2017 · Mobile Development

Meituan Android Plugin Framework: Design, Compatibility, and Build System

Meituan’s Android plugin framework combines MultiDex‑style dex loading, global AssetManager replacement, component proxies, and a four‑phase Gradle integration to enable stable AAR‑based development while dynamically loading plugins across Android versions and OEM ROMs, handling resources, bytecode, and native libraries with minimal compatibility issues.

AndroidBuild SystemPlugin Framework
0 likes · 15 min read
Meituan Android Plugin Framework: Design, Compatibility, and Build System