The document provides an overview of REST and how it can be implemented using the Catalyst framework in Perl. It discusses what REST is, how it leverages existing aspects of HTTP like verbs and status codes, and isn't a defined protocol but a set of best practices. It then describes the Catalyst::Action::REST module which makes it easy to build RESTful APIs in Catalyst and supports various serialization formats. Examples are given of performing CRUD operations via REST calls from the command line and how to handle this in browsers using JavaScript and YUI.
Building a High-Performance Distributed Task Queue on MongoDBMongoDB
This document discusses building a distributed job queue in MongoDB. It begins by outlining the requirements of processing tasks across multiple servers. It then describes the design of storing messages and tasks in MongoDB collections, including different message and task states. It also covers techniques like composite tasks, reducing polling through tailable cursors, and optimizing performance through retry logic and oplog replay. The overall aim is to build an asynchronous and scalable way to process jobs in a distributed manner using MongoDB.
Building Scalable, Distributed Job Queues with Redis and Redis::ClientMike Friedman
This document discusses using Redis and the Redis::Client Perl module to build scalable distributed job queues. It provides an overview of Redis, describing it as a key-value store that is simple, fast, and open-source. It then covers the various Redis data types like strings, lists, hashes, sets and sorted sets. Examples are given of how to work with these types using Redis::Client. The document discusses using Redis lists to implement job queues, with jobs added via RPUSH and popped via BLPOP. Benchmark results show the Redis-based job queue approach significantly outperforms using a MySQL jobs table with polling. Some caveats are provided about the benchmarks.
RestMQ is a message queue system based on Redis that allows storing and retrieving messages through HTTP requests. It uses Redis' data structures like lists, sets, and hashes to maintain queues and messages. Messages can be added to and received from queues using RESTful endpoints. Additional features include status monitoring, queue control, and support for protocols like JSON, Comet, and WebSockets. The core functionality is language-agnostic but implementations exist in Python and Ruby.
The document discusses the Zabbix API and Zabcon, a command line tool for interacting with the Zabbix API. Zabcon simplifies making API calls by allowing users to authenticate once and issue commands to retrieve host data, update host statuses, and create custom commands. The document demonstrates examples of using the Zabbix API directly and through Zabcon to retrieve host information and disable a host.
The document summarizes Redis Modules and provides an overview of how to build and use Redis Modules. Some key points:
- Redis Modules allow developers to extend Redis with new commands by dynamically loading libraries written in C/C++. This provides new functionality and integrates with existing Redis data types and commands.
- The Modules API provides both high-level and low-level interfaces. The high-level API is similar to Lua but slower, while the low-level API exposes specific Redis commands and data types for better performance.
- Building a simple module involves writing a command handler, validating arguments, making Redis calls, and returning a reply. Modules are initialized via an OnLoad function and new commands can
PECL Picks - Extensions to make your life betterZendCon
This document provides information about various PHP extensions available through PECL (PHP Extension Community Library). It introduces the author and their background, describes what PECL is and provides a brief history. It then discusses the current status of PECL, future plans, and how individuals can get involved. Finally, it highlights and provides code examples for several popular and useful PECL extensions, including APC, Memcache, Imagick, HTTP, UploadProgress and others.
This document provides an overview of using Python and MongoDB together. It discusses MongoDB concepts and architecture, how to get started with MongoDB using the interactive console, and basic CRUD operations. It then covers installing and using PyMongo, the main Python driver for MongoDB, and some popular high-level Python frameworks built on top of PyMongo like MongoEngine and MongoAlchemy.
The document discusses Mito, an object-relational mapper (ORM) for Common Lisp that is a successor to Integral. Some key features of Mito include supporting PostgreSQL as well as MySQL and SQLite3, implicit columns for auto-generated primary keys and record timestamps, reference associations between database table classes, eager loading to reduce N+1 queries, inheritance of database table classes, and migrations and schema versioning.
Building a High-Performance Distributed Task Queue on MongoDBMongoDB
This document discusses building a distributed job queue in MongoDB. It begins by outlining the requirements of processing tasks across multiple servers. It then describes the design of storing messages and tasks in MongoDB collections, including different message and task states. It also covers techniques like composite tasks, reducing polling through tailable cursors, and optimizing performance through retry logic and oplog replay. The overall aim is to build an asynchronous and scalable way to process jobs in a distributed manner using MongoDB.
Building Scalable, Distributed Job Queues with Redis and Redis::ClientMike Friedman
This document discusses using Redis and the Redis::Client Perl module to build scalable distributed job queues. It provides an overview of Redis, describing it as a key-value store that is simple, fast, and open-source. It then covers the various Redis data types like strings, lists, hashes, sets and sorted sets. Examples are given of how to work with these types using Redis::Client. The document discusses using Redis lists to implement job queues, with jobs added via RPUSH and popped via BLPOP. Benchmark results show the Redis-based job queue approach significantly outperforms using a MySQL jobs table with polling. Some caveats are provided about the benchmarks.
RestMQ is a message queue system based on Redis that allows storing and retrieving messages through HTTP requests. It uses Redis' data structures like lists, sets, and hashes to maintain queues and messages. Messages can be added to and received from queues using RESTful endpoints. Additional features include status monitoring, queue control, and support for protocols like JSON, Comet, and WebSockets. The core functionality is language-agnostic but implementations exist in Python and Ruby.
The document discusses the Zabbix API and Zabcon, a command line tool for interacting with the Zabbix API. Zabcon simplifies making API calls by allowing users to authenticate once and issue commands to retrieve host data, update host statuses, and create custom commands. The document demonstrates examples of using the Zabbix API directly and through Zabcon to retrieve host information and disable a host.
The document summarizes Redis Modules and provides an overview of how to build and use Redis Modules. Some key points:
- Redis Modules allow developers to extend Redis with new commands by dynamically loading libraries written in C/C++. This provides new functionality and integrates with existing Redis data types and commands.
- The Modules API provides both high-level and low-level interfaces. The high-level API is similar to Lua but slower, while the low-level API exposes specific Redis commands and data types for better performance.
- Building a simple module involves writing a command handler, validating arguments, making Redis calls, and returning a reply. Modules are initialized via an OnLoad function and new commands can
PECL Picks - Extensions to make your life betterZendCon
This document provides information about various PHP extensions available through PECL (PHP Extension Community Library). It introduces the author and their background, describes what PECL is and provides a brief history. It then discusses the current status of PECL, future plans, and how individuals can get involved. Finally, it highlights and provides code examples for several popular and useful PECL extensions, including APC, Memcache, Imagick, HTTP, UploadProgress and others.
This document provides an overview of using Python and MongoDB together. It discusses MongoDB concepts and architecture, how to get started with MongoDB using the interactive console, and basic CRUD operations. It then covers installing and using PyMongo, the main Python driver for MongoDB, and some popular high-level Python frameworks built on top of PyMongo like MongoEngine and MongoAlchemy.
The document discusses Mito, an object-relational mapper (ORM) for Common Lisp that is a successor to Integral. Some key features of Mito include supporting PostgreSQL as well as MySQL and SQLite3, implicit columns for auto-generated primary keys and record timestamps, reference associations between database table classes, eager loading to reduce N+1 queries, inheritance of database table classes, and migrations and schema versioning.
This document provides an introduction to Kibana4 and how to use its features. It discusses the major components of Kibana4 including Discover, Visualize, and Dashboard. It also covers visualization types like metrics, buckets, and aggregations. The document provides examples of using aggregations versus facets and describes settings, scripted fields, and plugins. It concludes by discussing potential future directions for Kibana.
- The document discusses using the ELK stack (Elasticsearch, Logstash, Kibana) to perform real-time log search, analysis, and monitoring. It provides examples of using Logstash and Elasticsearch for parsing and indexing application logs, and using Kibana for visualization and analysis.
- The document identifies several performance and stability issues with Logstash and Elasticsearch including high CPU usage from grok filtering, GeoIP filtering performance, and Elasticsearch relocation and recovery times. It proposes solutions like custom filtering plugins, tuning Elasticsearch configuration, and optimizing mappings.
- Rsyslog is presented as an alternative to Logstash for log collection with better performance. Examples are given of using Rsyslog plugins and Rainerscript for efficient
This document discusses using PHP for both web and desktop applications. It introduces PHP-GTK, which allows PHP to create graphical desktop applications with a native look and feel across platforms. It provides examples of creating windows, containers, working with signals and the main loop. The document also discusses installing PHP-GTK, some key considerations for desktop applications, and examples of creating widgets like trees and working with models.
What you need to remember when you upload to CPANcharsbar
Perlのモジュールを公開するときに気をつけておいた方がよい個のこと
This document provides tips for publishing Perl modules to CPAN. It discusses things to be aware of such as distributions being permanently archived on BackPAN even if deleted, CPAN accepting almost anything, and several testing services that can improve modules like PAUSE, CPAN Testers, CPANTS, and more. It also covers best practices for metrics evaluated by these services around availability, integrity, file layout, prerequisites and more. Developers are encouraged to use better tools from the Perl Toolchain Gang to avoid issues.
This document provides an overview of Java and Ruby on Rails and how they can be combined using JRuby and TorqueBox. It discusses how TorqueBox allows Ruby on Rails applications to take advantage of features of the JBoss application server like clustering, caching using Infinispan, and load balancing with mod_cluster. The document demonstrates how to install and configure TorqueBox and deploy a Rails application that leverages aspects of the Java platform.
Slides for my talk at the London Perl Workshop in Nov 2013, featuring the Devel::SizeMe perl module.
See also the screencast at https://archive.org/details/Perl-Memory-Profiling-LPW2013
Application Logging in the 21st century - 2014.keyTim Bunce
Slides for my talk at the Austrian Perl Workshop in Salzburg on October 10th.
A video of the talk can be found at https://www.youtube.com/watch?v=4Qj-_eimGuE
Keep hearing about Plack and PSGI, and not really sure what they're for, and why they're popular? Maybe you're using Plack at work, and you're still copying-and-pasting `builder` lines in to your code without really knowing what's going on? What's the relationship between Plack, PSGI, and CGI? Plack from first principles works up from how CGI works, the evolution that PSGI represents, and how Plack provides a user-friendly layer on top of that.
The document discusses optimization strategies for a LAMP stack using CodeIgniter. It recommends minimizing I/O operations by reducing disk, network and CPU usage. Specific optimizations include tuning the system, MySQL, Apache and PHP configurations, enabling caching, compression, and minimizing assets. Application-level optimizations include batching database operations and using associative arrays.
Given at zendcon 2007 unconference. My first "talk" ever given. Had a live demo. Note that although some of the information here is still pertinent, a lot is now outdated and most of the links no longer work. This is here for archival reasons
Slides for my Perl Memory Use talk at YAPC::Asia in Tokyo, September 2012.
(This uploaded version includes quite a few slides from the OSCON version that I skipped at YAPC::Asia in order to have more time for a demo.)
Static typing in Vault refers to enforcing the structure and location of secrets stored in Vault. This can be achieved by using a script or tool to validate secrets against JSON schemas before they are written or accessed. The schemas define the required properties and structure for different secret types. Using a generic validation tool allows schemas to be centrally defined and ensures secrets match the expected format, reducing errors from incorrectly structured secrets.
Using Solr to Search and Analyze Logs discusses how to use Solr and related tools like Logstash and Elasticsearch to index, search, and analyze log data. It covers sending logs to Solr using various methods like Logstash, Flume, and rsyslog plugins. It also discusses best practices for handling logs like production data in Solr, including using docValues, omitting norms/term positions, configuring caches, commits, and merges. The document concludes by discussing scaling options like SolrCloud and collections/aliases for partitioning logs over time.
DBD::Gofer is the scalable stateless proxy driver for Perl DBI.
These are the slides for my lightning talk on DBD::Gofer given at the Italian Perl Workshop in 2008 (with a few extra slides added).
This document provides a practical guide to caching data with Zend Server. It introduces the Zend Data Cache API and shows how to cache the results of a function that retrieves recent blog posts from a database. The function is modified to first check the cache for the results before querying the database. If no results are found in the cache, it queries the database and stores the results in the cache. By caching frequently accessed data, significant performance improvements can be achieved by reducing database queries. The document also discusses best practices for caching, such as profiling applications to identify bottlenecks and determining appropriate cache lifetimes based on how often data changes.
Chapman: Building a High-Performance Distributed Task Service with MongoDBMongoDB
When you're building a web application, you want to respond to every request as quickly as possible. The usual approach is to use an asynchronous job queue like Sidekiq, Resque, Celery, RQ, or a number of other frameworks to handle those tasks outside the request/response cycle in a separate 'worker' process. Unfortunately, many of these frameworks either require the deployment of Redis, RabbitMQ, or some other request broker, or they resort to polling a database for new work to do. Chapman is a distributed task queue built on MongoDB that avoids gratuitous polling, using tailable cursors with the oplog to provide notifications of incoming work. Inspired by Celery, Chapman also supports task graphs, where multiple tasks that depend on each other can be executed by the system asynchronously. Come learn how Synapp.io is using MongoDB and Chapman to handle its core data processing needs.
This document discusses using ngx_lua with UPYUN CDN. It provides examples of using Lua with Nginx for tasks like caching, health checking, and configuration as a service. Key points include using Lua for base64 encoding, Redis lookups, and upstream health checking. Lua provides a more flexible alternative to C modules for tasks like these by leveraging its embedding in Nginx via ngx_lua.
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.
Slides for my talk at SkyCon'12 in Limerick.
Here I've squeezed four talks into one, covering a lot of ground quickly, so I've included links to more detailed presentations and other resources.
The document provides an introduction and overview of building and consuming web services. It begins with defining what a web service is and discussing common web service architectures and types, including RESTful and RPC services. It then covers topics like HTTP, data formats like JSON and XML, and how to build a simple PHP-based web service that returns data in various formats depending on the Accept header. The document also discusses consuming web services using PHP libraries like cURL and Pecl_HTTP. It includes examples of building and consuming a SOAP web service in PHP. Finally, it discusses building RESTful web services and routing requests in PHP.
This document provides an overview and agenda for a web services tutorial. It discusses consuming and building web services using PHP. The topics that will be covered include: consuming simple web services using file_get_contents, cURL, and Pecl_HTTP; building RESTful and RPC services; handling HTTP requests and responses including status codes, headers, and data formats like JSON and XML; and best practices for versioning, documentation, and statelessness. Code samples are provided on the speaker's website.
This document provides an introduction to Kibana4 and how to use its features. It discusses the major components of Kibana4 including Discover, Visualize, and Dashboard. It also covers visualization types like metrics, buckets, and aggregations. The document provides examples of using aggregations versus facets and describes settings, scripted fields, and plugins. It concludes by discussing potential future directions for Kibana.
- The document discusses using the ELK stack (Elasticsearch, Logstash, Kibana) to perform real-time log search, analysis, and monitoring. It provides examples of using Logstash and Elasticsearch for parsing and indexing application logs, and using Kibana for visualization and analysis.
- The document identifies several performance and stability issues with Logstash and Elasticsearch including high CPU usage from grok filtering, GeoIP filtering performance, and Elasticsearch relocation and recovery times. It proposes solutions like custom filtering plugins, tuning Elasticsearch configuration, and optimizing mappings.
- Rsyslog is presented as an alternative to Logstash for log collection with better performance. Examples are given of using Rsyslog plugins and Rainerscript for efficient
This document discusses using PHP for both web and desktop applications. It introduces PHP-GTK, which allows PHP to create graphical desktop applications with a native look and feel across platforms. It provides examples of creating windows, containers, working with signals and the main loop. The document also discusses installing PHP-GTK, some key considerations for desktop applications, and examples of creating widgets like trees and working with models.
What you need to remember when you upload to CPANcharsbar
Perlのモジュールを公開するときに気をつけておいた方がよい個のこと
This document provides tips for publishing Perl modules to CPAN. It discusses things to be aware of such as distributions being permanently archived on BackPAN even if deleted, CPAN accepting almost anything, and several testing services that can improve modules like PAUSE, CPAN Testers, CPANTS, and more. It also covers best practices for metrics evaluated by these services around availability, integrity, file layout, prerequisites and more. Developers are encouraged to use better tools from the Perl Toolchain Gang to avoid issues.
This document provides an overview of Java and Ruby on Rails and how they can be combined using JRuby and TorqueBox. It discusses how TorqueBox allows Ruby on Rails applications to take advantage of features of the JBoss application server like clustering, caching using Infinispan, and load balancing with mod_cluster. The document demonstrates how to install and configure TorqueBox and deploy a Rails application that leverages aspects of the Java platform.
Slides for my talk at the London Perl Workshop in Nov 2013, featuring the Devel::SizeMe perl module.
See also the screencast at https://archive.org/details/Perl-Memory-Profiling-LPW2013
Application Logging in the 21st century - 2014.keyTim Bunce
Slides for my talk at the Austrian Perl Workshop in Salzburg on October 10th.
A video of the talk can be found at https://www.youtube.com/watch?v=4Qj-_eimGuE
Keep hearing about Plack and PSGI, and not really sure what they're for, and why they're popular? Maybe you're using Plack at work, and you're still copying-and-pasting `builder` lines in to your code without really knowing what's going on? What's the relationship between Plack, PSGI, and CGI? Plack from first principles works up from how CGI works, the evolution that PSGI represents, and how Plack provides a user-friendly layer on top of that.
The document discusses optimization strategies for a LAMP stack using CodeIgniter. It recommends minimizing I/O operations by reducing disk, network and CPU usage. Specific optimizations include tuning the system, MySQL, Apache and PHP configurations, enabling caching, compression, and minimizing assets. Application-level optimizations include batching database operations and using associative arrays.
Given at zendcon 2007 unconference. My first "talk" ever given. Had a live demo. Note that although some of the information here is still pertinent, a lot is now outdated and most of the links no longer work. This is here for archival reasons
Slides for my Perl Memory Use talk at YAPC::Asia in Tokyo, September 2012.
(This uploaded version includes quite a few slides from the OSCON version that I skipped at YAPC::Asia in order to have more time for a demo.)
Static typing in Vault refers to enforcing the structure and location of secrets stored in Vault. This can be achieved by using a script or tool to validate secrets against JSON schemas before they are written or accessed. The schemas define the required properties and structure for different secret types. Using a generic validation tool allows schemas to be centrally defined and ensures secrets match the expected format, reducing errors from incorrectly structured secrets.
Using Solr to Search and Analyze Logs discusses how to use Solr and related tools like Logstash and Elasticsearch to index, search, and analyze log data. It covers sending logs to Solr using various methods like Logstash, Flume, and rsyslog plugins. It also discusses best practices for handling logs like production data in Solr, including using docValues, omitting norms/term positions, configuring caches, commits, and merges. The document concludes by discussing scaling options like SolrCloud and collections/aliases for partitioning logs over time.
DBD::Gofer is the scalable stateless proxy driver for Perl DBI.
These are the slides for my lightning talk on DBD::Gofer given at the Italian Perl Workshop in 2008 (with a few extra slides added).
This document provides a practical guide to caching data with Zend Server. It introduces the Zend Data Cache API and shows how to cache the results of a function that retrieves recent blog posts from a database. The function is modified to first check the cache for the results before querying the database. If no results are found in the cache, it queries the database and stores the results in the cache. By caching frequently accessed data, significant performance improvements can be achieved by reducing database queries. The document also discusses best practices for caching, such as profiling applications to identify bottlenecks and determining appropriate cache lifetimes based on how often data changes.
Chapman: Building a High-Performance Distributed Task Service with MongoDBMongoDB
When you're building a web application, you want to respond to every request as quickly as possible. The usual approach is to use an asynchronous job queue like Sidekiq, Resque, Celery, RQ, or a number of other frameworks to handle those tasks outside the request/response cycle in a separate 'worker' process. Unfortunately, many of these frameworks either require the deployment of Redis, RabbitMQ, or some other request broker, or they resort to polling a database for new work to do. Chapman is a distributed task queue built on MongoDB that avoids gratuitous polling, using tailable cursors with the oplog to provide notifications of incoming work. Inspired by Celery, Chapman also supports task graphs, where multiple tasks that depend on each other can be executed by the system asynchronously. Come learn how Synapp.io is using MongoDB and Chapman to handle its core data processing needs.
This document discusses using ngx_lua with UPYUN CDN. It provides examples of using Lua with Nginx for tasks like caching, health checking, and configuration as a service. Key points include using Lua for base64 encoding, Redis lookups, and upstream health checking. Lua provides a more flexible alternative to C modules for tasks like these by leveraging its embedding in Nginx via ngx_lua.
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.
Slides for my talk at SkyCon'12 in Limerick.
Here I've squeezed four talks into one, covering a lot of ground quickly, so I've included links to more detailed presentations and other resources.
The document provides an introduction and overview of building and consuming web services. It begins with defining what a web service is and discussing common web service architectures and types, including RESTful and RPC services. It then covers topics like HTTP, data formats like JSON and XML, and how to build a simple PHP-based web service that returns data in various formats depending on the Accept header. The document also discusses consuming web services using PHP libraries like cURL and Pecl_HTTP. It includes examples of building and consuming a SOAP web service in PHP. Finally, it discusses building RESTful web services and routing requests in PHP.
This document provides an overview and agenda for a web services tutorial. It discusses consuming and building web services using PHP. The topics that will be covered include: consuming simple web services using file_get_contents, cURL, and Pecl_HTTP; building RESTful and RPC services; handling HTTP requests and responses including status codes, headers, and data formats like JSON and XML; and best practices for versioning, documentation, and statelessness. Code samples are provided on the speaker's website.
PHP / MySQL applications are compatible to all operating systems, support all the popular databases, 100% remotely configurable, perfect for web programming & provide higher performance and speed.
PHP is an HTML-embedded scripting language. Much of its syntax is borrowed from C, Java and Perl with a couple of unique PHP-specific features thrown in. The goal of the language is to allow web developers to write dynamically generated pages quickly.
MySQL is a Relational Database Management System (RDBMS) that uses Structured Query Language (SQL).
PHP is the most popular scripting language for web development. It is free, open source and server-side (the code is executed on the server).
PHP third party tool and plug-in integration such as chat, forum, blog and search engine
This document provides an overview and introduction to using the Sinatra web framework for building RESTful web applications in Ruby. It discusses Sinatra's philosophy of being simple and easy to use, introduces REST principles and how Sinatra supports them through HTTP verbs, routing, caching, authentication and more. Code examples are provided to demonstrate how a basic "Hello World" application is structured in Sinatra and how requests are routed and executed under the hood.
Use perl creating web services with xml rpcJohnny Pork
This document discusses using XML-RPC to create web services with Perl. It provides an example of creating an XML-RPC client in Perl to call methods on a remote web service. It also gives an example of building an XML-RPC listener service in Perl to expose methods to remote clients. The document stresses the importance of documenting the API of any XML-RPC web service.
Slides from our talk “REST in Peace” for DrupalCamp Baltics 2015: http://drupalcampbaltics.com/event/rest-peace
Speakers:
- Kate Marshalkina
- Konstantin Komelin
Speech transcript is available here: http://komelin.com/en/articles/rest-peace-api-development-drupal
Fully Automate Application Delivery with Puppet and F5 - PuppetConf 2014Puppet
The document discusses F5 programmability and using Puppet for automation and deployment. It provides an overview of F5 programmability tools like iRules, iApps, and iControl. It then covers benefits of using Puppet for infrastructure as code and automation. Examples are given of using REST APIs and languages like Perl and Python to programmatically configure F5 devices.
This document provides instructions for setting up a demonstration of the magic_model_generator gem. It mentions setting up the database.yml file and increasing the font size. It also provides commands for starting the postgres database, generating models from existing tables, and preparing the development environment for the demo.
PHP classes in mumbai, Introduction to PHP/MYSQL..
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Elasticsearch and Ruby document summarized in 3 sentences:
Elasticsearch is an open source search and analytics engine built on Apache Lucene that provides scalable searching and analyzing of big data. It is a great fit for dynamic languages like Ruby and web-oriented workflows due to its REST API and JSON DSL. The document provides examples of using the Ruby library Tire to interface with Elasticsearch to perform searches and facets from Ruby applications and Rails frameworks.
This document discusses Rack, a modular Ruby web server interface.
It describes problems with different web servers and frameworks, and how Rack provides an abstraction layer through a simple request-response interface. Rack middleware is explained, as well as how Rails integrates with Rack. Examples of Rack applications and middleware are provided.
Here are the key steps to load data from a RESTful service using AJAX and jQuery:
1. Make an AJAX GET request to the REST API endpoint using jQuery.ajax() or jQuery.getJSON().
2. Specify the URL, set the data type to "json", and provide a success callback.
3. On success, the JSON response will be passed to the callback function where it can be used to update the UI.
4. Parse the JSON response into a JavaScript object for easy access to the data.
5. Update the HTML using the jQuery DOM manipulation methods like html(), text(), etc.
So in summary - make an AJAX GET, parse the JSON response,
Rack is a Ruby web server interface that provides a minimal interface between web servers and Ruby frameworks like Rails. It allows web applications to be written as Ruby objects that respond to the call method. Rack applications take a request environment hash and return a status, headers, and response body array. Rack allows modularity through middlewares that act as filters on requests. Rails itself is built with Rack and exposes its middleware stack.
Bare Metal to OpenStack with Razor and ChefMatt Ray
Razor is an open source provisioning tool that was originally developed by EMC and Puppet Labs. It can discover hardware, select images to deploy, and provision nodes using model-based provisioning. The demo showed setting up a Razor appliance, adding images, models, policies, and brokers. It then deployed an OpenStack all-in-one environment to a new VM using Razor and Chef. The OpenStack cookbook walkthrough explained the roles, environments, and cookbooks used to deploy and configure OpenStack components using Chef.
Building Web Services with Zend Framework (PHP Benelux meeting 20100713 Vliss...King Foo
The document discusses using the Zend Framework to build web services. It covers exposing classes as SOAP, XML-RPC, and JSON-RPC web services. It also discusses building RESTful web services using the Zend Framework by implementing actions in a Zend_Rest_Controller and adding a Zend_Rest_Route. Code examples are provided for each approach.
HTTP, JSON, JavaScript, Map&Reduce built-in to MySQLUlf Wendel
HTTP, JSON, JavaScript, Map&Reduce built in to MySQL - make it happen, today. See how a MySQL Server plugin be developed to built all this into MySQL. A new direct wire between MySQL and client-side JavaScript is created. MySQL speaks HTTP, replies JSON and offers server-side JavaScript. Server-side JavaScript gets access to MySQL data and does Map&Reduce of JSON documents stored in MySQL. Fast? 2-4x faster than proxing client-side JavaScript request through PHP/Apache. Reasonable results...
This document contains the slides from a Node.js workshop presented by Quhan Arunasalam on March 27, 2015 at NTU-IEEE. The workshop covered introductions to Node.js, using the REPL, modules, the npm package manager, and the Express web framework. Lab exercises walked through building basic servers and APIs. Node.js is introduced as a runtime for server-side JavaScript applications, and key concepts like asynchronous I/O and the event loop are discussed.
Similar to No REST for the Wicked: REST and Catalyst (20)
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
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Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
7. What Isn’t REST
A defined protocol
A tool for every job
Good for browsers
Since IE7, most browsers work with XmlHttpRequest
Various hacks exist to DTRT
4
8. HTTP does a lot
Common “verbs” for CRUD:
Create an object (POST)
Retrieve an object (GET)
Update an object (PUT)
Delete an object (DELETE)
(And more, but that’s another story)
5
11. What about pretty URIs?
Pretty URI ≠ REST
Functional URI = REST
/item/B9B6F0F8-1DE5-11DD-9305-CB9FBFD82403
(still REST)
Pretty for the computer, not for you.
7
12. So, REST is
Using as much of the HTTP spec as you can
With URIs that...
8
13. So, REST is
Using as much of the HTTP spec as you can
With URIs that...
Mean something (Represent a resource or object)
8
14. So, REST is
Using as much of the HTTP spec as you can
With URIs that...
Mean something (Represent a resource or object)
Don’t have to be pretty
8
15. So, REST is
Using as much of the HTTP spec as you can
With URIs that...
Mean something (Represent a resource or object)
Don’t have to be pretty
Don’t have to be ugly
8
22. The response should
respect the request.
“Accept” determines what serialization format
(and “Content-Type”)
14
23. The response should
respect the request.
“Accept” determines what serialization format
(and “Content-Type”)
“Accept-Language” determines what language
14
24. The response should
respect the request.
“Accept” determines what serialization format
(and “Content-Type”)
“Accept-Language” determines what language
“Accept-Charset” determines what charset
14
25. The response should
respect the request.
“Accept” determines what serialization format
(and “Content-Type”)
“Accept-Language” determines what language
“Accept-Charset” determines what charset
Listed in order of preference from the client.
14
29. And to help out...
Catalyst::Controller::REST::DBIC::Item
• I couldn’t think of a longer name
• Just a base class for yak shaving
• Links DBIx::Class result sets to REST actions
• Almost CRUD, except just scaffolding for it
• Only a dev release on CPAN
(only thing fancy about it is this slide)
17
30. A Use Case
http://www.iwatchsoccer.com/
A simple site to list upcoming soccer matches.
Uses Catalyst, REST and DBIx::Class
18
31. Very small
Team League
Four Basic Objects:
Game Game
19
32. And some links
A game has many broadcasts
Networks have many broadcasts
A game belongs to a league
A team has many leagues
20
33. Using REST
Still works in a web browser
Serializes response through Template Toolkit
Handles GET only (but doesn’t have to)
21
35. Handling other verbs
POST, PUT, DELETE via simple commands:
$ POST -c ‘text/x-yaml’ http://localhost:3000/team
22
36. Handling other verbs
POST, PUT, DELETE via simple commands:
$ POST -c ‘text/x-yaml’ http://localhost:3000/team
Please enter content (text/x-yaml) to be POSTed:
---
display_name: Urawa Red Diamonds
22
39. Same idea for GET
$ GET -H ‘Content-type: text/x-yaml’
http://localhost:3000/team
24
40. Same idea for GET
$ GET -H ‘Content-type: text/x-yaml’
http://localhost:3000/team
---
-
display_name: Urawa Red Diamonds
pk1: 7
token_name: urawa-red-diamonds
24
43. Just change Content-type
$ GET -H ‘Content-type: text/x-json’
http://localhost:3000/team
[{quot;token_namequot;:quot;urawa-red-
diamondsquot;,quot;display_namequot;:quot;Urawa Red
Diamondsquot;,quot;pk1quot;:7}]
25
45. Not just YAML
Many serialization formats, from Catalyst::Action::REST
26
46. Not just YAML
Many serialization formats, from Catalyst::Action::REST
YAML
26
47. Not just YAML
Many serialization formats, from Catalyst::Action::REST
YAML
JSON
26
48. Not just YAML
Many serialization formats, from Catalyst::Action::REST
YAML
JSON
XML::Simple
26
49. Not just YAML
Many serialization formats, from Catalyst::Action::REST
YAML
JSON
XML::Simple
Data::Serializer
26
50. Not just YAML
Many serialization formats, from Catalyst::Action::REST
YAML
JSON
XML::Simple
Data::Serializer
Any Catalyst View
26
51. Not just YAML
Many serialization formats, from Catalyst::Action::REST
YAML
JSON
XML::Simple
Data::Serializer
Any Catalyst View
Easy to write your own
26
58. Starting the chain
Two actions:
sub rest_base : Chained(‘/’) PathPart(‘rest’)
CaptureArgs(0) { }
# Automatically defined by
Catalyst::Controller::REST::DBIC::Item
sub rest_item : Chained(‘rest_base’) PathPart(‘item’)
CaptureArgs(1) { }
31
59. What you really need:
package IWS::Controller::Team;
use strict;
use warnings;
use base 'Catalyst::Controller::REST::DBIC::Item';
__PACKAGE__->config(
# snipped general REST config
'class' => 'Schema::Team',
'item_key' => 'token_name',
'serialize_method' => 'serialize',
'browser_serialize' => 0
);
sub rest_base : Chained('/') PathPart('') CaptureArgs(0){ }
32
60. Simple Controllers
sub rest_item_POST {
my ( $self, $c ) = @_;
my $data = $c->request->data;
my $row = $self->get_rs( $c )->find_or_create($data);
if ( $row ) {
$self->status_created( $c, ... );
} else {
$self->status_bad_request( $c, ... );
}
}
(but please, validate $data)
33
63. Dispatching REST Actions
Chain is:
rest_base -> rest_item -> rest_item_${METHOD}
GET /rest/item/foo
calls rest_item_GET
34
64. Dispatching REST Actions
Chain is:
rest_base -> rest_item -> rest_item_${METHOD}
GET /rest/item/foo
calls rest_item_GET
PUT /rest/item/foo
34
65. Dispatching REST Actions
Chain is:
rest_base -> rest_item -> rest_item_${METHOD}
GET /rest/item/foo
calls rest_item_GET
PUT /rest/item/foo
calls rest_item_PUT
34
66. Dispatching REST Actions
Chain is:
rest_base -> rest_item -> rest_item_${METHOD}
GET /rest/item/foo
calls rest_item_GET
PUT /rest/item/foo
calls rest_item_PUT
All from Catalyst::Action::REST
34
67. Simple Controllers
sub rest_item_DELETE {
my ( $self, $c ) = @_;
my $item = $c->stash->{rest}->{item};
$item->delete;
return $self->status_accepted( $c,
entity => { status => ‘deleted’ }
);
}
35
70. More Bling
Browsers and REST do not play well...
Except inside of XmlHttpRequest
With IE7, they all play well
36
71. More Bling
Browsers and REST do not play well...
Except inside of XmlHttpRequest
With IE7, they all play well
Full support of POST, PUT, GET and DELETE
36
77. Still easy.
Set the content-type:
YAHOO.util.Connect.setDefaultPostHeader(‘text/x-json’);
41
78. Still easy.
Set the content-type:
YAHOO.util.Connect.setDefaultPostHeader(‘text/x-json’);
Stringify the data:
YAHOO.lang.JSON.stringify(data)
41
79. Still easy.
Set the content-type:
YAHOO.util.Connect.setDefaultPostHeader(‘text/x-json’);
Stringify the data:
YAHOO.lang.JSON.stringify(data)
Done
41
80. Connecting to a form
A few points:
Form action does not need to be what you use in
JavaScript
Form method does not need to be what you use in
JavaScript
42
81. YAHOO.util.Event
var form = YAHOO.util.Dom.get(‘form_id’);
YAHOO.util.Event.on( form, ‘submit’, function() {
});
43
82. That’s it
Serialize form data into JSON
Do PUT, POST, DELETE, GET on form submit
REST
44
83. A word on JSON
JSON is not:
Supposed to be eval’d
Just JavaScript
45
84. A word on JSON
JSON is not:
Supposed to be eval’d
Just JavaScript
JSON is:
Very Fast (JSON::XS and JSON::PC)
Very Small
45