Introduction to performance tuning perl web applications

This document discusses using NGINX to deliver high performance applications through efficient caching. It explains that NGINX can be used as a web server, load balancer, and high availability content cache to provide low latency, scalability, availability and reduced costs. Specific NGINX caching configurations like proxy_cache, proxy_cache_valid and proxy_cache_background_update are described. Microcaching optimizations with NGINX are also covered, showing significant performance improvements over Apache+WordPress and a reverse proxy only setup.

Performance is fundamentally, a UX concern. Sites that are slow to render or janky to interact with are a bad user experience. We strive to write performant code for our users, but users don’t directly interact with our code - it all happens through the medium of the browser. The browser is the middleman between us and our users; therefore to make our users happy, we first have to make the browser happy. But how exactly do we do that? In this talk, we’ll learn how browsers work under the hood: how they request, construct, and render a website. At each step along the way, we’ll cover what we can do as developers to make the browser’s job easier, and why those best practices work. You’ll leave with a solid understanding of how to write code that works with the browser, not against it, and ultimately improves your users’ experience.

This document provides an overview of Memcached, a simple in-memory caching system. It discusses what Memcached is, how and when it should be used, best practices, and an example usage. Memcached stores data in memory for fast reads and can distribute data across multiple servers. It is not meant as a database replacement but can be used to cache database query results and other computationally expensive data to improve performance. The document outlines how Memcached was used by one company to cache large amounts of data and speed up processing to under 50ms by moving from MySQL to a Memcached distributed cache.

Brian Moon discusses the evolution of the architecture of dealnews.com from a single server setup in the late 1990s to a clustered architecture in 2008. The initial setup encountered bottlenecks with software load balancing and using NFS. They overcame these by implementing hardware load balancing, dropping NFS, and using Memcached for caching. As traffic increased from sites like Digg and Yahoo!, they added more servers, offloaded static content to a CDN, and implemented a custom caching proxy and "pushed cache" to prevent stampeding. Their current architecture loads balances incoming traffic with F5 BIG-IP and uses replication and load balancing for the database.

On Centralizing Logs with Syslog, LogStash, Elasticsearch, Kibana. Presentation from Radu Gheorghe from Sematext at Monitorama EU 2013.

HighLoad++ 2017 Зал «Кейптаун», 8 ноября, 13:00 Тезисы: http://www.highload.ru/2017/abstracts/2954.html MySQL Replication is powerful and has added a lot of advanced features through the years. In this presentation we will look into replication technology in MySQL 5.7 and variants focusing on advanced features, what do they mean, when to use them and when not, Including. When should you use STATEMENT, ROW or MIXED binary log format? What is GTID in MySQL and MariaDB and why do you want to use them? What is semi-sync replication and how is it different from lossless semi-sync? ...

The document summarizes new features in Apache HTTPD version 2.4, including improved performance through the Event MPM, faster APR, and reduced memory usage. It describes new configuration options like finer timeout controls and the <If> directive. New modules like mod_lua and mod_proxy submodules are highlighted. The document also discusses how Apache has adapted to cloud computing through dynamic proxying, load balancing, and self-aware environments.

This document discusses tuning Solr for log search and analysis. It provides the results of baseline tests on Solr performance and capacity indexing 10 million logs. Various configuration changes are then tested, such as using time-based collections, DocValues, commit settings, and hardware optimizations. Using tools like Apache Flume to preprocess logs before indexing into Solr is also recommended for improved throughput. Overall, the document emphasizes that software and hardware optimizations can significantly improve Solr performance and capacity when indexing logs.

The document discusses practical web scraping using the Web::Scraper module in Perl. It provides an example of scraping the current UTC time from a website using regular expressions, then refactors it to use Web::Scraper for a more robust and maintainable approach. Key advantages of Web::Scraper include using CSS selectors and XPath to be less fragile, and proper handling of HTML encoding.

This document discusses how to boost Django performance with an Nginx reverse proxy cache. It recommends configuring Nginx as a reverse proxy in front of Gunicorn and Django to cache static and dynamic content. The Nginx configuration shown implements a proxy cache with settings for cache location, size, keys, caching responses, and headers. With this reverse proxy cache, the document claims response times can be reduced by 62%.

A high-performance proxy server is less than a hundred lines of Ruby code and it is an indispensable tool for anyone who knows how to use it. In this session we will first walk through the basics of event-driven architectures and high-performance network programming in Ruby using the EventMachine framework.

Despite advances in software design and static analysis techniques, software remains incredibly complicated and difficult to reason about. Understanding highly-concurrent, kernel-level, and intentionally-obfuscated programs are among the problem domains that spawned the field of dynamic program analysis. More than mere debuggers, the challenge of dynamic analysis tools is to be able record, analyze, and replay execution without sacrificing performance. This talk will provide an introduction to the dynamic analysis research space and hopefully inspire you to consider integrating these techniques into your own internal tools.

The document discusses using gzip compression and decompression transformers in Mule. It shows how to compress a file payload with gzip-compress-transformer, which reduces the file size from 83 KB to 21.99 KB as seen in the logs. It then demonstrates decompressing the compressed file back to its original size of 83 KB using gzip-uncompress-transformer. The flows pick up files from source folders, process them with the transformers, and write the results to destination folders, compressing and decompressing a sample "abc.doc" file as an example.

This document discusses key metrics to monitor for Node.js applications, including event loop latency, garbage collection cycles and time, process memory usage, HTTP request and error rates, and correlating metrics across worker processes. It provides examples of metric thresholds and issues that could be detected, such as high garbage collection times indicating a problem or an event loop blocking issue leading to high latency.

WordPress performance can be improved by optimizing rendering speed and processing speed. Rendering speed focuses on front-end optimizations like minimizing page size through image optimization and concatenating/minifying scripts and stylesheets. Processing speed focuses on back-end optimizations like caching, using a CDN, adding expire headers, and leveraging reverse proxies and caching plugins. Nginx can be configured for caching, gzip compression, and load balancing to improve WordPress performance.

This presentation shows how to use Xdebug, KCacheGrind, and Webgrind with WampServer to profile PHP applications. You need to install Xdebug, KCacheGrind, and Webgrind, configure connections between the tools, and then you can launch and use KCacheGrind and Webgrind from the WampServer menu to analyze profiler output and improve application performance.

The document discusses event-driven architecture and how it has evolved from processes to threads to events. It provides examples to illustrate synchronous vs asynchronous processing and event-driven vs process-driven approaches. It describes how Node.js uses a single thread and event loop architecture to handle asynchronous I/O calls via callbacks. Various real-time applications that can benefit from Node.js' event-driven approach are listed.

Slides from Velocity 2019 tutorial on HTTP/2. Covers prioritization in the browser, network and server and tuning of HTTP/2.

These slides show how to reduce latency on websites and reduce bandwidth for improved user experience. Covering network, compression, caching, etags, application optimisation, sphinxsearch, memcache, db optimisation

The document discusses performance optimization and benchmarking for Apache web servers. It covers measuring performance metrics like requests per second, latency, and scalability. Common bottlenecks like file descriptors, memory usage, and CPU overload are examined. Next generation improvements for platforms like Linux, Solaris, and 64-bit architectures that can boost Apache performance are also reviewed.

This is the second edition of the story about how we struggled to implement strict latency requirements in a service implemented with Java and how we managed to do that. The most common latency contributors are an in-process locking, thread scheduling, I/O, algorithmic inefficiencies and, of course, garbage collector. I will share our experience of dealing with the causes. And tell what you can do to prevent them from affecting the production.

The document summarizes a transition from a LAMP stack (Linux, Apache, MySQL, PHP) to a LNLP stack (Linux, Nginx, NoSQL, PHP-FPM). It discusses moving from Apache to Nginx as the web server for improved performance under load. It also discusses moving from MySQL to a NoSQL database like MongoDB for flexibility with data structures and large datasets. Finally, it discusses moving from mod_php to PHP-FPM to improve PHP performance and flexibility. Steps are provided to install and configure Nginx, PHP-FPM and MongoDB on Ubuntu. Benchmark results show improved request throughput and reduced response times with the new stack configuration.

The document discusses performance automation, including: - Basic terminology like waterfall charts and how they break down page load times. - A case study showing how automation identified issues like too many connections, bytes, and roundtrips on a site and incrementally improved performance through techniques like caching, CDNs, minification, and domain sharding. - The history and evolution of the performance automation market from delivery to more advanced transformation tools. Challenges include supporting new technologies and standardizing measurements. Speed remains an important opportunity area.

Tempesta FW is an open source firewall and framework for HTTP DDoS mitigation and web application firewall capabilities. It functions at layers 3 through 7 and directly embeds into the Linux TCP/IP stack. As a hybrid of an HTTP accelerator and firewall, it aims to accelerate content delivery to mitigate DDoS attacks while filtering requests. This allows it to more effectively mitigate application layer DDoS attacks compared to other solutions like deep packet inspection or traditional firewalls and HTTP servers.