The document discusses server architecture and different types of servers. It describes common server roles like web servers, application servers, and proxy servers. It provides examples of simple web servers written in Node.js and Ruby. Popular web servers mentioned include Nginx and Apache. Different hosting options for servers are also covered, such as virtual dedicated servers (VDS), virtual private servers (VPS), and cloud servers hosted on platforms like Amazon AWS, Google Cloud, and Microsoft Azure.
This document discusses optimizing a WordPress site to handle high traffic loads. It provides tips for caching at various levels (opcode, object, page, fragment) using tools like Nginx, PHP-FPM, memcached. It also recommends using a CDN, handling traffic variability, and scaling to multiple application servers with a load balancer. Benchmark results show performance improving from serving 50k pages/day to over 8k requests/second after these optimizations.
This document discusses caching content with NGINX to improve performance and reduce load on origin servers. It provides an overview of NGINX caching functionality and how to configure basic caching using directives like proxy_cache_path, proxy_cache_key, proxy_cache, and proxy_cache_valid. It also covers more advanced caching techniques like micro-caching, which caches dynamic content for short periods, and configuring NGINX for high availability.
This document summarizes 5 key things to know about MySQL if you don't have a dedicated database administrator (DBA). It covers MySQL versions, storage engines and locking, backups, scaling options, and free tools for monitoring and troubleshooting MySQL.
Genkidama is a P2P content distribution system built using Java and DHT techniques. It uses NicoCache for storage and OpenChord for the DHT overlay. It supports 300 concurrent users and was developed by Daiki for uses including P2P SIP and livedoor. It provides a web dashboard and integrates various technologies like NAT traversal, XMLRPC, and a GUI.
This document discusses using Server-Timing headers to monitor application and CDN performance. Server-Timing allows instrumentation of specific events like database queries, cache lookups, and API calls by including a name, duration, and optional description in HTTP response headers. The headers can provide insight into where time is spent to help optimize performance. CDNs can also leverage Server-Timing to indicate if a request was a cache hit or required fetching from the origin server. Libraries exist to help implement Server-Timing monitoring into applications and middleware.
Content caching is one of the most effective ways to dramatically improve the performance of a web site. In this webinar, we’ll deep-dive into NGINX’s caching abilities and investigate the architecture used, debugging techniques and advanced configuration. By the end of the webinar, you’ll be well equipped to configure NGINX to cache content exactly as you need. View full webinar on demand at http://nginx.com/resources/webinars/content-caching-nginx/
A 5 minutes rundown on some of the most glaring downsides of microservices/SOA using JSON endpoints instead of proper interfaces.
When people hear the word NGINX, they usually associate the open source platform for its popular adoption as an HTTP web server or load balancer. What a lot of people don't know is the vast amount of powerful features contained in the platform that can be used to build an HTTP caching layer and why NGINX is often used as a framework to build powerful, scalable and highly available content delivery networks. In this talk we will dive into each unique NGINX directive and its configuration options that are available. We will show different architectural approaches that can be used to build a highly available HTTP content cache layer. We will show various other NGINX configurations that can be critical to your NGINX deployment. Walking away from this presentation, attendees will have the knowledge required to configure basic and advanced caching of their NGINX servers.
Key Takeaways: 1> Key technology enablers for real-time collaboration 2> Supporting open source technologies such as Node.js, WebSocket and HTML5 3> Enriching user experience with real-time collaboration 4> Demonstration of a sample real-time collaborative web application 5> Performance benchmarks