vertical scaling

DevOps Cloud Academy

Mar 6, 2023 · Cloud Native

In‑Place Pod Vertical Scaling: Mutable Resource Requests and Limits in Kubernetes

This proposal introduces in‑place vertical scaling for Pods by making PodSpec resources mutable, extending PodStatus with ResourcesAllocated, adding ResizePolicy and Resize fields, and updating the CRI UpdateContainerResources and ContainerStatus APIs to support live CPU and memory adjustments without restarting containers.

CRIIn-place UpdateKubernetes

0 likes · 22 min read

In‑Place Pod Vertical Scaling: Mutable Resource Requests and Limits in Kubernetes

Code Ape Tech Column

Oct 14, 2022 · Backend Development

Designing Scalable Systems: From a Single Server to Multi‑Node Architecture

This article explains how to design and evolve a system from a single‑server deployment to a highly scalable architecture using vertical and horizontal scaling, load balancing, database replication, sharding, caching, CDN, and stateless design to support billions of users.

Database ReplicationLoad BalancingSystem Architecture

0 likes · 20 min read

Designing Scalable Systems: From a Single Server to Multi‑Node Architecture

Architecture Digest

May 19, 2022 · Operations

Designing High‑Availability Stateless Services: Redundancy, Load Balancing, Scaling, and Monitoring

The article explains how to build highly available stateless services by using redundant deployment, vertical and horizontal scaling, appropriate load‑balancing algorithms, monitoring, and automated recovery, and also discusses high‑concurrency identification, CDN/OSS usage, and practical recommendations for cloud‑native environments.

High AvailabilityLoad BalancingMonitoring

0 likes · 11 min read

Designing High‑Availability Stateless Services: Redundancy, Load Balancing, Scaling, and Monitoring

IT Architects Alliance

Mar 13, 2022 · Databases

Designing Scalable Systems for Billions of Users: Architecture, Scaling, and Database Strategies

This article explains how to evolve a simple single‑server web application into a highly available, horizontally scalable system by introducing DNS routing, vertical and horizontal scaling, load‑balancing, database replication, sharding, denormalization, SQL/NoSQL choices, caching, CDN, and GeoDNS techniques.

CachingCloud ArchitectureDatabase

0 likes · 18 min read

Designing Scalable Systems for Billions of Users: Architecture, Scaling, and Database Strategies

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.

Cloud NativeHigh AvailabilityLoad Balancing

0 likes · 10 min read

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

macrozheng

Oct 9, 2020 · Databases

How to Implement Database Sharding: Horizontal & Vertical Partitioning with Sharding-JDBC

This article explains the fundamentals of database sharding, covering both vertical and horizontal partitioning concepts, routing algorithms, advantages and drawbacks, practical implementation steps using sharding-jdbc, and discusses related challenges such as distributed transactions, pagination, global IDs, and tool selection.

JavaShardingdatabase partitioning

0 likes · 17 min read

How to Implement Database Sharding: Horizontal & Vertical Partitioning with Sharding-JDBC

iQIYI Technical Product Team

Mar 15, 2019 · Cloud Computing

Design and Architecture of QLive Large‑Scale Live Streaming Service

The QLive service powers iQIYI’s massive live‑streaming events—such as the Spring Festival Gala—by combining vertical and horizontal scaling, a three‑layer architecture with dual data‑center isolation, multi‑level caching, circuit‑breaker/degradation controls, and a Flume‑Kafka‑Hive monitoring pipeline to sustain over 400 k QPS and 99.9999 % availability.

CachingLive StreamingMonitoring

0 likes · 9 min read

Design and Architecture of QLive Large‑Scale Live Streaming Service