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auto-scaling

58 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Sep 21, 2026 · Backend Development

Scaling Isn't Just Adding Instances: End-to-End Capacity, Traffic & Cost Design

This article argues that true system scaling requires end-to-end capacity planning across ingress, task processing, dependencies, and recovery—not merely adding instances—and shows how to translate business growth into workload models, manage backpressure, set per-link capacity budgets, validate with realistic load tests, and balance cost against performance.

BackpressureCapacity PlanningCost Optimization
0 likes · 24 min read
Scaling Isn't Just Adding Instances: End-to-End Capacity, Traffic & Cost Design
Random Bulletin
Random Bulletin
Sep 5, 2026 · Operations

Why Static 80% Thresholds Fail at 10M QPS: Dynamic Water Level Management

The article explains why fixed thresholds like 80% CPU are inadequate for large-scale systems, and introduces dynamic water level management that combines load, resource, service, and resilience signals with capacity profiling, trend prediction, and action latency to drive automated scaling, scheduling, rate limiting, and degradation in a closed loop.

10M QPSCapacity PlanningSLO
0 likes · 31 min read
Why Static 80% Thresholds Fail at 10M QPS: Dynamic Water Level Management
Random Bulletin
Random Bulletin
Jun 29, 2026 · Operations

Backlog Digestion at Ten‑Million QPS: From Adding Machines to Intelligent Scheduling

The article dissects how to handle massive message backlog in ten‑million‑QPS systems, explaining why simply adding consumer machines fails, and walks through six evolutionary stages—from manual scaling and auto‑scaling to traffic tiering, consumer‑side optimizations, dynamic strategies, and AI‑driven intelligent scheduling—while highlighting design trade‑offs, pitfalls, and practical tooling.

auto-scalingbacklog digestionhigh QPS
0 likes · 22 min read
Backlog Digestion at Ten‑Million QPS: From Adding Machines to Intelligent Scheduling
DevOps Coach
DevOps Coach
Jan 10, 2026 · Operations

How to Scale Your Web App from 10K to Millions: 10 Essential Practices

This guide outlines ten practical steps—adding load balancers, horizontal scaling, stateless services, connection pooling, aggressive caching, read replicas, task queues, auto‑scaling, WebSocket gateways, and comprehensive monitoring—to reliably handle sudden traffic spikes and keep your application responsive and cost‑effective.

Cachingauto-scalingscalability
0 likes · 9 min read
How to Scale Your Web App from 10K to Millions: 10 Essential Practices
Full-Stack DevOps & Kubernetes
Full-Stack DevOps & Kubernetes
Oct 30, 2025 · Cloud Native

15 Real-World Kubernetes Use Cases You Need to Know

Explore the 15 most impactful Kubernetes scenarios—from microservices and auto‑scaling to multi‑cloud deployments, AI workloads, edge computing, and compliance—detailing how they boost reliability, efficiency, and cost‑effectiveness, while also highlighting situations where Kubernetes may not be the right choice.

AI workloadsKubernetesauto-scaling
0 likes · 11 min read
15 Real-World Kubernetes Use Cases You Need to Know
Code Wrench
Code Wrench
Oct 26, 2025 · Backend Development

Build a Scalable Go Actor Framework with Auto‑Scaling and Graceful Shutdown

Explore the Go Actor model’s core concepts, compare popular Actor libraries, and follow a step‑by‑step implementation that introduces a mailbox, supervisor restart strategy, dynamic ActorPool with auto‑scaler, graceful shutdown via context, and Prometheus metrics, culminating in a complete, production‑ready concurrent framework.

Actor modelConcurrencyGo
0 likes · 15 min read
Build a Scalable Go Actor Framework with Auto‑Scaling and Graceful Shutdown
dbaplus Community
dbaplus Community
Aug 20, 2025 · Operations

How Qunar Automates Hotel Capacity Planning with Predictive Scaling

This article details Qunar's end‑to‑end solution for forecasting traffic spikes, estimating required CPU resources, and automatically scaling hotel services using a combined flow‑calendar, algorithmic prediction, and Ops‑driven auto‑scaling pipeline, improving stability and operational efficiency.

Algorithmic ForecastingCapacity PlanningKubernetes
0 likes · 12 min read
How Qunar Automates Hotel Capacity Planning with Predictive Scaling
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Aug 3, 2025 · Cloud Native

Adaptive Intent-Driven Development: Giving Complex Systems an Autonomous Soul

The article introduces Adaptive Intent-Driven Development (AIDD), a declarative methodology that lets developers state desired outcomes and lets autonomous control loops continuously reconcile reality with intent, illustrated through Kubernetes, SDN, and auto‑scaling examples, and highlights its resilience, productivity, and future AI integration benefits.

Adaptive Intent-Driven DevelopmentKubernetesResilience
0 likes · 10 min read
Adaptive Intent-Driven Development: Giving Complex Systems an Autonomous Soul
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Jul 9, 2025 · Cloud Native

How We Transformed a FPS Game to Cloud‑Native with OpenKruiseGame in 2 Months

Facing tight deadlines, Yahaha Studios rebuilt the STRIDEN FPS game's server deployment from a traditional Auto Scaling Group to a cloud‑native architecture using OpenKruiseGame, achieving second‑level startup, automated global scaling, lossless scaling, and significant cost reductions while improving player experience.

KubernetesOpenKruiseGameauto-scaling
0 likes · 18 min read
How We Transformed a FPS Game to Cloud‑Native with OpenKruiseGame in 2 Months
Subtle Storm
Subtle Storm
Jun 19, 2025 · Cloud Computing

How ESS Enables Vertical Scaling of Cloud Services

The article explains Elastic Scaling Service (ESS), also known as Auto Scaling, detailing its core features such as dynamic resource adaptation, high‑availability guarantees, cost control, and multi‑cloud integration, and walks through its workflow, typical use cases, rule types, and best‑practice recommendations for effective vertical scaling of cloud workloads.

Cloud ComputingElastic ScalingMulti-Cloud
0 likes · 7 min read
How ESS Enables Vertical Scaling of Cloud Services
Baidu Tech Salon
Baidu Tech Salon
Jun 17, 2025 · Operations

How Baidu Scaled Its Vertical Search: Elastic Scheduling and Data Management Secrets

This article explains how Baidu's vertical search platform tackled massive data growth and scaling challenges by redesigning its data management system, introducing elastic scheduling, decoupling ETCD access, implementing auto‑scaling, and advancing shard expansion to improve performance, stability, and cost efficiency.

Search Architectureauto-scalingdata management
0 likes · 18 min read
How Baidu Scaled Its Vertical Search: Elastic Scheduling and Data Management Secrets
Qunar Tech Salon
Qunar Tech Salon
Mar 27, 2025 · Operations

Automated Capacity Planning and Auto‑Scaling for Hotel Services During Traffic Peaks

This document describes a comprehensive capacity‑planning solution that predicts traffic‑peak impacts for hotel services, automatically estimates required CPU resources, creates timed scaling tasks, and evaluates performance using detailed metrics, thereby improving operational efficiency and reducing manual effort during events such as exam‑ticket printing and holiday travel surges.

Capacity PlanningCloud Computingalgorithm
0 likes · 12 min read
Automated Capacity Planning and Auto‑Scaling for Hotel Services During Traffic Peaks
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Feb 10, 2025 · Artificial Intelligence

Hybrid Cloud Elastic LLM Inference Solution with ACK Edge and KServe

This article presents a hybrid‑cloud solution that uses ACK Edge and KServe to dynamically allocate on‑premise and cloud GPU resources for large‑language‑model inference, addressing tidal traffic patterns, reducing costs, and ensuring high availability through elastic scaling and custom scheduling policies.

ACK@EdgeKServeLLM
0 likes · 13 min read
Hybrid Cloud Elastic LLM Inference Solution with ACK Edge and KServe
IT Architects Alliance
IT Architects Alliance
Jan 7, 2025 · Cloud Computing

Elastic Architecture: Auto Scaling and Failover for Resilient Systems

The article explains how elastic architecture, through auto‑scaling and failover mechanisms, dynamically adjusts resources and ensures continuous service during traffic spikes and component failures, improving cost efficiency, reliability, and operational stability for modern cloud‑based applications.

Cloud ComputingElastic ArchitectureFailover
0 likes · 16 min read
Elastic Architecture: Auto Scaling and Failover for Resilient Systems
dbaplus Community
dbaplus Community
Mar 10, 2024 · Cloud Native

How We Built Elastic Scaling and Hybrid‑Cloud Auto‑Scaling on Kubernetes

After fully containerizing their platform, the team tackled front‑line development scaling challenges by designing a custom elastic‑scaling solution that combines dual‑threshold and timed scaling, integrates hybrid‑cloud ClusterAutoScale, consolidates middleware resources, and implements a comprehensive K8s observability stack, delivering over 30% additional compute capacity and near‑perfect scaling reliability.

Kubernetesauto-scalingcloud-native
0 likes · 12 min read
How We Built Elastic Scaling and Hybrid‑Cloud Auto‑Scaling on Kubernetes
HelloTech
HelloTech
Aug 1, 2023 · Cloud Native

Elastic Scaling Practices in Cloud‑Native Kubernetes Environments

To overcome native HPA limits and business‑specific constraints in a fully containerized, cloud‑native Kubernetes environment, we implemented a dual‑threshold water‑level and scheduled scaling engine, hybrid‑cloud ClusterAutoScale, mixed‑deployment resource prioritization, and comprehensive Prometheus‑based observability, achieving higher utilization, lower costs, and a roadmap toward deeper optimization and AIOps.

Elastic ScalingKubernetesauto-scaling
0 likes · 10 min read
Elastic Scaling Practices in Cloud‑Native Kubernetes Environments
DaTaobao Tech
DaTaobao Tech
Jul 5, 2023 · Cloud Native

Cloud‑Native Multi‑Tenant Architecture and Network Isolation in Taobao Open Platform

The Taobao Open Platform adopts a cloud‑native, multi‑tenant architecture that abstracts infrastructure, isolates tenants via independent or shared switch‑plus‑security‑group schemes with dual ENI pod networking, and leverages Kubernetes auto‑scaling to simplify onboarding, cut operational costs, and enable future low‑code and FaaS extensions.

Kubernetesauto-scalingcloud-native
0 likes · 14 min read
Cloud‑Native Multi‑Tenant Architecture and Network Isolation in Taobao Open Platform
Efficient Ops
Efficient Ops
Mar 21, 2023 · Operations

How Hupu Scaled to Millions: Inside the Flex Auto‑Scaling Platform

This article details Hupu's massive sports‑traffic environment, the design and implementation of the Flex auto‑scaling platform, its architecture, core functions such as resource statistics, node and pod scaling, scenario scheduling, and the performance optimizations that enable rapid, cost‑effective scaling across multi‑cloud Kubernetes clusters.

KubernetesMulti-CloudPerformance Optimization
0 likes · 15 min read
How Hupu Scaled to Millions: Inside the Flex Auto‑Scaling Platform
Alimama Tech
Alimama Tech
Nov 2, 2022 · Artificial Intelligence

Optimizing GPU Utilization for Multimedia AI Services with high_service

The article presents high_service, a high‑performance inference framework that boosts GPU utilization in multimedia AI services by separating CPU‑heavy preprocessing from GPU inference, employing priority‑based auto‑scaling, multi‑tenant sharing, and TensorRT‑accelerated models to eliminate GIL bottlenecks, reduce waste, and adapt to fluctuating traffic, with future work targeting automated bottleneck detection and further CPU‑GPU offloading.

GPU utilizationTensorRTauto-scaling
0 likes · 19 min read
Optimizing GPU Utilization for Multimedia AI Services with high_service
Tencent Cloud Developer
Tencent Cloud Developer
Sep 29, 2022 · Cloud Native

Improving Kubernetes Cluster Utilization: Practices and Optimization Strategies

The session detailed how Tencent’s container experts boost Kubernetes cluster utilization by correcting pod resource requests, employing two‑level auto‑scaling, dynamic over‑commit, adaptive scheduling and eviction, and using HPA/EHPA/VPA, achieving up to 38.7% node usage and roughly 60% cost savings in real‑world workloads.

KubernetesPod SchedulingResource Optimization
0 likes · 11 min read
Improving Kubernetes Cluster Utilization: Practices and Optimization Strategies
Tencent Cloud Developer
Tencent Cloud Developer
Jul 26, 2022 · Cloud Native

Understanding Knative: A Cloud-Native Serverless Framework

Knative is a CNCF‑incubated, cloud‑native serverless framework on Kubernetes that combines Build, Eventing, and Serving components—featuring a Knative Pod Autoscaler that can scale pods to zero—offering improved resource utilization, rapid traffic response, and developer productivity despite modest performance overhead.

CNCFCloud-NativeFunction Computing
0 likes · 16 min read
Understanding Knative: A Cloud-Native Serverless Framework
360 Smart Cloud
360 Smart Cloud
Jul 14, 2022 · Cloud Computing

Auto Scaling (AS) in Cloud Services: Architecture, Use Cases, and Optimization Strategies

This article explains the concept of elastic auto scaling in cloud services, describes typical scenarios such as high‑elastic web apps and compute‑intensive workloads, details the four‑layer architecture and workflow, and outlines functional features, stability improvements, and future optimization directions.

auto-scalingcloud-computingelasticity
0 likes · 12 min read
Auto Scaling (AS) in Cloud Services: Architecture, Use Cases, and Optimization Strategies
DataFunSummit
DataFunSummit
Jul 1, 2022 · Big Data

Exploring and Implementing Elastic Scheduling for Xiaomi Hadoop YARN

Shilong Fei from Xiaomi Data Platform presents an in‑depth exploration of elastic scheduling for Hadoop YARN, covering background, design of resource pools, auto‑scaling architecture, challenges such as job stability and user transparency, achieved cost reductions, and future plans for further optimization.

HadoopYARNauto-scaling
0 likes · 20 min read
Exploring and Implementing Elastic Scheduling for Xiaomi Hadoop YARN
Zuoyebang Tech Team
Zuoyebang Tech Team
Jun 17, 2022 · Big Data

How FlinkSQL Auto‑Tuning Saves Resources and Guarantees SLA

This article describes the design and implementation of an automated FlinkSQL tuning system that monitors metrics, evaluates task health with rule‑based logic, calculates optimal resource adjustments, and performs fast scaling to reduce cluster waste, lower operational costs, and maintain SLA compliance.

AkkaFlinkReal-Time Computing
0 likes · 15 min read
How FlinkSQL Auto‑Tuning Saves Resources and Guarantees SLA
Shopee Tech Team
Shopee Tech Team
May 26, 2022 · Cloud Computing

Shopee's Green Computing Practices: Optimizing Resource Utilization in Data Centers

Shopee reduces data‑center carbon emissions by over 40,000 tons annually through three 2021 green‑computing technologies—Overcommit resource oversubscription, mixed‑model Colocation of latency‑sensitive and batch workloads, and enhanced Auto Scaling that leverages global metrics to cut machine usage and improve resource efficiency.

Carbon EmissionsCloud ComputingKubernetes
0 likes · 15 min read
Shopee's Green Computing Practices: Optimizing Resource Utilization in Data Centers
HomeTech
HomeTech
Dec 7, 2021 · Big Data

Flink Task Auto-scaling Design and Implementation

This article presents the design and implementation of Flink task auto‑scaling, covering background, manual and automatic scaling mechanisms, architecture with RescaleCoordinator, persistence via Zookeeper and HDFS, scaling policies for parallelism, CPU and memory, and future plans for fine‑grained and time‑based resource adjustments.

FlinkHDFSZooKeeper
0 likes · 4 min read
Flink Task Auto-scaling Design and Implementation
Liulishuo Tech Team
Liulishuo Tech Team
Oct 29, 2021 · Cloud Computing

Automating Cloud Infrastructure at Liulishuo: Deployment, Management, and Governance Practices

The article describes Liulishuo's Cloud Infra team's end‑to‑end automation of cloud resource provisioning, scaling, and cost governance using Terraform, a custom Luban platform, GitLab CI/CD, and chat‑bot integrations, highlighting the architectural design, implementation steps, and measurable benefits for both operations and business teams.

Cloud AutomationCost OptimizationInfrastructure as Code
0 likes · 10 min read
Automating Cloud Infrastructure at Liulishuo: Deployment, Management, and Governance Practices
dbaplus Community
dbaplus Community
Jun 17, 2021 · Cloud Native

How Dada Achieved Seamless Elastic Scaling for Massive Delivery Peaks

Facing surges during holidays and major shopping events, Dada’s DevOps team built a cloud‑native elastic scaling system that combines fine‑grained capacity management, multi‑cloud support, metric‑driven auto‑scaling, and extreme‑scale down strategies, delivering stable delivery performance while cutting costs.

Capacity ManagementElastic ScalingMulti-Cloud
0 likes · 17 min read
How Dada Achieved Seamless Elastic Scaling for Massive Delivery Peaks
IT Architects Alliance
IT Architects Alliance
Jun 10, 2021 · Cloud Native

Designing High‑Availability Stateless Services: Load Balancing, Scaling, and Deployment Strategies

This article explains how to achieve high availability for stateless services by employing redundancy, vertical and horizontal scaling, various load‑balancing algorithms (random, round‑robin, weighted, least‑connections, source‑hash), and automatic scaling techniques in cloud‑native environments, while also covering performance monitoring and CDN/OSS usage.

Vertical Scalingauto-scalingcloud-native
0 likes · 10 min read
Designing High‑Availability Stateless Services: Load Balancing, Scaling, and Deployment Strategies
Alibaba Cloud Developer
Alibaba Cloud Developer
May 19, 2021 · Cloud Computing

How to Optimize Cloud Resource Scheduling After Migration

After migrating to the cloud, enterprises must evaluate resource scale, cost pressure, and staffing before deciding whether to build their own scheduling system, and can choose among ECS, Dedicated Host, or private pool solutions, each with specific advantages, drawbacks, and suitable scenarios.

Capacity Planningauto-scalingdedicated host
0 likes · 15 min read
How to Optimize Cloud Resource Scheduling After Migration
Efficient Ops
Efficient Ops
Apr 20, 2021 · Operations

How Dada’s Intelligent Elastic Scaling Cuts Costs and Boosts Delivery Performance

This article details Dada Group’s implementation of an intelligent elastic scaling architecture that automatically adjusts capacity during peak promotions and low‑traffic periods, improving delivery reliability, reducing costs, and supporting multi‑cloud and multi‑runtime environments through sophisticated monitoring and auto‑scaler mechanisms.

Capacity Managementauto-scalingcloud-native
0 likes · 17 min read
How Dada’s Intelligent Elastic Scaling Cuts Costs and Boosts Delivery Performance
Dada Group Technology
Dada Group Technology
Apr 19, 2021 · Operations

Exploring Elastic Capacity and Automated Scaling Architecture at Dada Group

This article presents Dada Group's comprehensive approach to elastic capacity management and automated scaling, detailing the challenges faced during traffic spikes, the design of a cloud‑native auto‑scaler, multi‑metric observability, decision‑making logic, execution mechanisms, extreme scaling practices, and future optimization directions.

Capacity ManagementElastic ScalingMulti-Cloud
0 likes · 15 min read
Exploring Elastic Capacity and Automated Scaling Architecture at Dada Group
Xianyu Technology
Xianyu Technology
Dec 17, 2020 · Cloud Native

Elastic Scaling in Serverless Cloud‑Native Applications

Elastic scaling, a cornerstone of Xianyu’s shift to serverless cloud-native architecture, leverages Kubernetes autoscaling components—Cluster‑Autoscaler, HPA, VPA—to dynamically adjust resources via reactive thresholds or predictive models, yet faces challenges like cold‑starts, lack of scale‑to‑zero, and optimal pod‑pool buffering, prompting ongoing research for faster, smarter, safer scaling.

Cloud-nativeElastic ScalingKubernetes
0 likes · 19 min read
Elastic Scaling in Serverless Cloud‑Native Applications
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 17, 2019 · Cloud Native

How NBF’s FaaS Architecture Powers Serverless at Alibaba’s Mega Sales

This article explains how Alibaba's New‑Retail Business Framework (NBF) implements a non‑typical FaaS architecture that delivers full Serverless capabilities—including containerized bundle management, service publishing, routing, fault tolerance, millisecond‑level auto‑scaling, and rapid rollback—proving its reliability during large‑scale promotional events.

FaaSServerlessauto-scaling
0 likes · 16 min read
How NBF’s FaaS Architecture Powers Serverless at Alibaba’s Mega Sales
Efficient Ops
Efficient Ops
Sep 27, 2018 · Operations

Tencent Billing’s Secret to Managing Massive Promo Spikes

Tencent’s billing platform powers billions of daily transactions across 180+ countries, supporting both consumer and business payments, and employs sophisticated capacity testing, dynamic auto‑scaling, resource sharing, and change‑control mechanisms to ensure reliable large‑scale promotional events without service disruptions.

Tencent Billingauto-scalingcapacity testing
0 likes · 15 min read
Tencent Billing’s Secret to Managing Massive Promo Spikes
Tencent Cloud Developer
Tencent Cloud Developer
Apr 8, 2018 · Game Development

WeChat Mini-Game Architecture Design and Development Guide

The guide outlines a scalable, globally unified architecture for WeChat mini-games—combining stateless compute layers with CLB, auto-scaling, a star-router model for peer communication, and horizontally-sharded storage using Tencent Cloud’s DCDB or TCaplus to handle rapid viral growth.

Cloud InfrastructureDatabase ClusteringGame Architecture
0 likes · 9 min read
WeChat Mini-Game Architecture Design and Development Guide
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Mar 29, 2018 · Backend Development

How 1号店 Scaled Its Search Engine for 11.11: Distributed Architecture, Sharding, and Auto‑Scaling

This article explains how 1号店 built a distributed search engine with horizontal scaling, custom sharding and routing strategies, automated deployment, rapid expansion, and real‑time monitoring to handle the massive traffic spikes of the annual 11.11 e‑commerce promotion.

Distributed Searchauto-scalinge-commerce backend
0 likes · 13 min read
How 1号店 Scaled Its Search Engine for 11.11: Distributed Architecture, Sharding, and Auto‑Scaling
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
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 19, 2017 · Operations

How Alibaba’s TPP Intelligent Scheduler Boosts Resource Utilization and Handles Double‑11 Traffic

The article details Alibaba's Taobao Personalization Platform (TPP) intelligent scheduling system, explaining its architecture, optimization algorithms, convergence logic, and performance results that dramatically improve CPU utilization and automate scaling during both regular operation and high‑traffic events like Double‑11.

AlibabaCloud Operationsauto-scaling
0 likes · 21 min read
How Alibaba’s TPP Intelligent Scheduler Boosts Resource Utilization and Handles Double‑11 Traffic
Hujiang Technology
Hujiang Technology
Aug 16, 2017 · Cloud Native

Implementing DevOps with Container Orchestration: CI/CD Pipeline, Docker Image Optimization, and Automated Operations

This article explains how to build a DevOps workflow using container orchestration, covering agile development with Docker image slimming, a Jenkins‑based CI/CD pipeline, simplified Gitflow, container monitoring with cAdvisor‑InfluxDB‑Grafana, and auto‑scaling via Marathon, while separating automated deployment from production release.

CI/CDJenkinsauto-scaling
0 likes · 16 min read
Implementing DevOps with Container Orchestration: CI/CD Pipeline, Docker Image Optimization, and Automated Operations
Efficient Ops
Efficient Ops
Apr 25, 2017 · Cloud Native

How CaaS Transforms Microservice Development and Operations with Docker

This article explains the differences between monolithic and microservice architectures, introduces Docker as a key tool for microservices, and details how a Container‑as‑a‑Service (CaaS) platform can provide service discovery, routing, logging, monitoring, auto‑scaling, SLA enforcement, and deployment strategies to simplify development and operations.

Dockerauto-scalingcloud-native
0 likes · 16 min read
How CaaS Transforms Microservice Development and Operations with Docker
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Oct 12, 2016 · Backend Development

How to Implement and Manage Feature Toggles in Java for Scalable Systems

This article explains how to design and operate feature toggles in Java applications, covering single‑instance implementation, cross‑instance synchronization via a meta‑server or Diamond, handling composite switches, avoiding security pitfalls, and automating degradation and upgrade based on runtime metrics.

auto-scalingconfiguration managementfeature-toggle
0 likes · 8 min read
How to Implement and Manage Feature Toggles in Java for Scalable Systems
dbaplus Community
dbaplus Community
Aug 9, 2016 · Cloud Native

Scaling Qiniu Cloud's Custom Data Processing with Docker Containerization

Qiniu Cloud transformed its high‑traffic data processing platform by containerizing services with Docker, addressing challenges such as massive request volume, CPU‑intensive workloads, IO bottlenecks, and burst traffic through architecture evolution, queueing, rate limiting, auto‑scaling, and secure, isolated custom processing pipelines.

auto-scalingdata processingmicroservices
0 likes · 20 min read
Scaling Qiniu Cloud's Custom Data Processing with Docker Containerization
21CTO
21CTO
Nov 17, 2015 · Backend Development

Scaling Search for 11.11: Distributed Engine, Smart Routing & Auto‑Scaling

This article explains how a major e‑commerce platform built a horizontally scalable distributed search engine, designed efficient sharding and routing strategies, and implemented automated deployment, rapid scaling, and real‑time monitoring to handle the massive traffic of the 11.11 shopping festival.

BackendDistributed SearchSearch Architecture
0 likes · 13 min read
Scaling Search for 11.11: Distributed Engine, Smart Routing & Auto‑Scaling
Architect
Architect
Oct 18, 2015 · Cloud Computing

Practices and Reflections on Enterprise Cloud Platforms

The article shares the author’s experience designing and operating enterprise‑grade cloud platforms, covering resource and application management, the Platform EGO architecture, comparisons with Mesos, Yarn and Kubernetes, and practical insights on scaling, scheduling, security, and architectural evolution.

Cloud Computingauto-scalingdistributed systems
0 likes · 18 min read
Practices and Reflections on Enterprise Cloud Platforms
21CTO
21CTO
Sep 16, 2015 · Databases

How TDSQL Achieves Scalable, High‑Availability Distributed SQL on MySQL

This article explains how TDSQL transforms MySQL into a distributed, high‑availability SQL system by addressing NoSQL limitations, introducing a Scheduler‑Agent‑Gateway architecture, automatic scaling, sharding, robust disaster‑recovery mechanisms, and future integration with container technologies.

MySQLauto-scalingdistributed database
0 likes · 19 min read
How TDSQL Achieves Scalable, High‑Availability Distributed SQL on MySQL