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Apr 15, 2024 · Operations

Speed Up Ansible: Deep Dive into Execution Flow, Async Tasks, and Performance Tweaks

This article explains why Ansible can be slow with many tasks, shows how to profile task execution, analyzes the detailed SSH‑based execution process, and provides practical optimizations such as adjusting forks, using async/poll, enabling persistent SSH connections, pipelining, tweaking fact collection, and employing the Mitogen strategy plugin.

AnsibleAsync TasksPerformance Optimization

0 likes · 29 min read

Speed Up Ansible: Deep Dive into Execution Flow, Async Tasks, and Performance Tweaks

Spring Full-Stack Practical Cases

Feb 7, 2024 · Databases

Mastering Redis with Spring Boot: Pub/Sub, Transactions, Pipelines, and Lua Locks

This guide demonstrates how to use Spring Boot 2.7 with Redis 6.2 to implement Pub/Sub messaging, transactional operations, pipelined commands, and Lua‑based distributed locks, providing code examples, configuration details, and explanations of each feature’s advantages and limitations.

LuaSpring BootTransactions

0 likes · 10 min read

Mastering Redis with Spring Boot: Pub/Sub, Transactions, Pipelines, and Lua Locks

Spring Full-Stack Practical Cases

Oct 26, 2023 · Databases

Boost Spring Boot Redis Performance with Pipelining: 3× Faster Results

This article explains Redis' client‑server request model, introduces the pipeline technique, compares normal and pipelined requests, and provides Spring Boot code examples that demonstrate a three‑fold speed improvement when writing 100,000 keys.

JavaSpring Bootdatabase

0 likes · 4 min read

Boost Spring Boot Redis Performance with Pipelining: 3× Faster Results

php Courses

Feb 23, 2023 · Fundamentals

How Browsers Manage TCP Connections, HTTP Persistence, Pipelining, and Multiplexing

The article explains how modern browsers handle TCP connections and HTTP requests, covering persistent connections, the limits of HTTP/1.1 pipelining, the advantages of HTTP/2 multiplexing, and browser-imposed limits on simultaneous connections per host.

Browser PerformanceHTTP/2TCP

0 likes · 8 min read

How Browsers Manage TCP Connections, HTTP Persistence, Pipelining, and Multiplexing

Selected Java Interview Questions

May 15, 2020 · Fundamentals

Understanding Browser TCP Connections, HTTP Persistence, Pipelining, and Multiplexing

The article explains how modern browsers manage TCP connections for HTTP requests, covering persistent connections, the limits on concurrent connections per host, the behavior of HTTP/1.1 pipelining, why SSL sessions may be reused, and how HTTP/2 multiplexing improves parallel request handling.

BrowserHTTPHTTP2

0 likes · 10 min read

Understanding Browser TCP Connections, HTTP Persistence, Pipelining, and Multiplexing

Programmer DD

Apr 30, 2020 · Fundamentals

Unlocking CPU Secrets: How Processors Execute, Cache, and Multithread

This article explains the core components and operation of a CPU, covering the fetch‑decode‑execute cycle, instruction sets, registers, pipeline and superscalar designs, multi‑core and hyper‑threading concepts, and the hierarchy of caches from registers to L3, providing a comprehensive fundamentals overview.

CPUCacheRegisters

0 likes · 14 min read

Unlocking CPU Secrets: How Processors Execute, Cache, and Multithread

Architect's Tech Stack

Nov 15, 2019 · Fundamentals

Understanding Browser TCP Connections, HTTP Persistence, Pipelining, and Multiplexing

The article explains how modern browsers manage TCP connections for HTTP requests, covering persistent connections, the number of requests per connection, pipelining limitations in HTTP/1.1, the advantages of HTTP/2 multiplexing, SSL reuse, and browser-imposed limits on concurrent connections per host.

BrowserHTTPMultiplexing

0 likes · 9 min read

ITFLY8 Architecture Home

Jun 28, 2018 · Backend Development

How HTTP Pipelining Supercharges Request Throughput: Real‑World Performance Tests

This article explains the principle of HTTP pipelining, presents detailed performance tests comparing single‑thread, thread‑pool, and pipelined request methods, and provides a simple .NET implementation that demonstrates why pipelining can achieve ten‑fold speed gains over conventional HTTP keep‑alive.

AsyncBackendHTTP

0 likes · 16 min read

How HTTP Pipelining Supercharges Request Throughput: Real‑World Performance Tests

Architecture Digest

Jun 23, 2018 · Backend Development

High-Performance HTTP Pipelining: Principles, Test Methodology, and .NET Implementation

This article explains the concept of HTTP pipelining, presents a series of performance tests comparing pipe, thread‑group, and asynchronous request methods on a typical PC, analyzes the results and underlying TCP behavior, and provides a simple .NET implementation for practical use.

BackendHTTPPerformance Testing

0 likes · 13 min read

High-Performance HTTP Pipelining: Principles, Test Methodology, and .NET Implementation

Java High-Performance Architecture

Jun 24, 2016 · Databases

Boost Redis Performance: Reduce Latency with Multi-Param Commands, Pipelining, and Smart Command Choices

This article explains how Redis' single‑threaded nature can cause latency and offers three optimization strategies—reducing network I/O, shortening command queues, and cutting execution time—through multi‑parameter commands, pipelining, and avoiding costly operations.

Command LatencyMulti-parameter Commandspipelining

0 likes · 3 min read

Boost Redis Performance: Reduce Latency with Multi-Param Commands, Pipelining, and Smart Command Choices

ITPUB

Dec 16, 2015 · Frontend Development

Unlock 37% Faster Lo‑Dash Performance with Lazy Evaluation and Pipelining

Discover how Lo‑Dash’s lazy evaluation and pipelining can cut execution time by over a third, by processing only the necessary elements, avoiding intermediate arrays, and deferring computation until .value() is called, with concrete code examples and performance benchmarks.

JavaScriptLazy EvaluationLo-Dash

0 likes · 6 min read

Unlock 37% Faster Lo‑Dash Performance with Lazy Evaluation and Pipelining