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Build It with Nitrogen the Fast-Off-The-Block Erlang Web Framework
Build it with Nitrogen The fast-off-the-block Erlang web framework Lloyd R. Prentice & Jesse Gumm dedicated to: Laurie, love of my life— Lloyd Jackie, my best half — Jesse and to: Rusty Klophaus and other giants of Open Source— LRP & JG Contents I. Frying Pan to Fire5 1. You want me to build what?7 2. Enter the lion’s den9 2.1. The big picture........................ 10 2.2. Install Nitrogen........................ 11 2.3. Lay of the land........................ 13 II. Projects 19 3. nitroBoard I 21 3.1. Plan of attack......................... 21 3.2. Create a new project..................... 23 3.3. Prototype welcome page................... 27 3.4. Anatomy of a page...................... 30 3.5. Anatomy of a route...................... 33 3.6. Anatomy of a template.................... 34 3.7. Elements............................ 35 3.8. Actions............................. 38 3.9. Triggers and Targets..................... 39 3.10. Enough theory........................ 40 i 3.11. Visitors............................ 44 3.12. Styling............................. 64 3.13. Debugging........................... 66 3.14. What you’ve learned..................... 66 3.15. Think and do......................... 68 4. nitroBoard II 69 4.1. Plan of attack......................... 69 4.2. Associates........................... 70 4.3. I am in/I am out....................... 78 4.4. Styling............................. 81 4.5. What you’ve learned..................... 82 4.6. Think and do......................... 82 5. A Simple Login System 83 5.1. Getting Started........................ 83 5.2. Dependencies......................... 84 5.2.1. Rebar Dependency: erlpass ............. 84 5.3. The index page........................ 85 5.4. Creating an account..................... 87 5.4.1. db_login module................... 89 5.5. The login form........................ 91 5.5.1. -
Lightweight Django USING REST, WEBSOCKETS & BACKBONE
Lightweight Django USING REST, WEBSOCKETS & BACKBONE Julia Elman & Mark Lavin Lightweight Django LightweightDjango How can you take advantage of the Django framework to integrate complex “A great resource for client-side interactions and real-time features into your web applications? going beyond traditional Through a series of rapid application development projects, this hands-on book shows experienced Django developers how to include REST APIs, apps and learning how WebSockets, and client-side MVC frameworks such as Backbone.js into Django can power the new or existing projects. backend of single-page Learn how to make the most of Django’s decoupled design by choosing web applications.” the components you need to build the lightweight applications you want. —Aymeric Augustin Once you finish this book, you’ll know how to build single-page applications Django core developer, CTO, oscaro.com that respond to interactions in real time. If you’re familiar with Python and JavaScript, you’re good to go. “Such a good idea—I think this will lower the barrier ■ Learn a lightweight approach for starting a new Django project of entry for developers ■ Break reusable applications into smaller services that even more… the more communicate with one another I read, the more excited ■ Create a static, rapid prototyping site as a scaffold for websites and applications I am!” —Barbara Shaurette ■ Build a REST API with django-rest-framework Python Developer, Cox Media Group ■ Learn how to use Django with the Backbone.js MVC framework ■ Create a single-page web application on top of your REST API Lightweight ■ Integrate real-time features with WebSockets and the Tornado networking library ■ Use the book’s code-driven examples in your own projects Julia Elman, a frontend developer and tech education advocate, started learning Django in 2008 while working at World Online. -
Installation Guide
Oracle® Communications Session Monitor Installation Guide Release 4.3 F27697-02 July 2020 Oracle Communications Session Monitor Installation Guide, Release 4.3 F27697-02 Copyright © 2014, 2020, Oracle and/or its affiliates. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs (including any operating system, integrated software, any programs embedded, installed or activated on delivered hardware, and modifications of such programs) and Oracle computer documentation or other Oracle data delivered to or accessed by U.S. Government end users are "commercial computer software" or "commercial computer software documentation" pursuant to the applicable Federal Acquisition -
Uwsgi Documentation Release 1.9
uWSGI Documentation Release 1.9 uWSGI February 08, 2016 Contents 1 Included components (updated to latest stable release)3 2 Quickstarts 5 3 Table of Contents 11 4 Tutorials 137 5 Articles 139 6 uWSGI Subsystems 141 7 Scaling with uWSGI 197 8 Securing uWSGI 217 9 Keeping an eye on your apps 223 10 Async and loop engines 231 11 Web Server support 237 12 Language support 251 13 Release Notes 317 14 Contact 359 15 Donate 361 16 Indices and tables 363 Python Module Index 365 i ii uWSGI Documentation, Release 1.9 The uWSGI project aims at developing a full stack for building (and hosting) clustered/distributed network applica- tions. Mainly targeted at the web and its standards, it has been successfully used in a lot of different contexts. Thanks to its pluggable architecture it can be extended without limits to support more platforms and languages. Cur- rently, you can write plugins in C, C++ and Objective-C. The “WSGI” part in the name is a tribute to the namesake Python standard, as it has been the first developed plugin for the project. Versatility, performance, low-resource usage and reliability are the strengths of the project (and the only rules fol- lowed). Contents 1 uWSGI Documentation, Release 1.9 2 Contents CHAPTER 1 Included components (updated to latest stable release) The Core (implements configuration, processes management, sockets creation, monitoring, logging, shared memory areas, ipc, cluster membership and the uWSGI Subscription Server) Request plugins (implement application server interfaces for various languages and platforms: WSGI, PSGI, Rack, Lua WSAPI, CGI, PHP, Go ...) Gateways (implement load balancers, proxies and routers) The Emperor (implements massive instances management and monitoring) Loop engines (implement concurrency, components can be run in preforking, threaded, asynchronous/evented and green thread/coroutine modes. -
Amazon Codeguru Profiler
Amazon CodeGuru Profiler User Guide Amazon CodeGuru Profiler User Guide Amazon CodeGuru Profiler: User Guide Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Amazon CodeGuru Profiler User Guide Table of Contents What is Amazon CodeGuru Profiler? ..................................................................................................... 1 What can I do with CodeGuru Profiler? ......................................................................................... 1 What languages are supported by CodeGuru Profiler? ..................................................................... 1 How do I get started with CodeGuru Profiler? ................................................................................ 1 Setting up ......................................................................................................................................... 3 Set up in the Lambda console ..................................................................................................... 3 Step 1: Sign up for AWS .................................................................................................... -
Making Story from System Logs with Elastic Stack
SANOG36 18 - 21 January, 2021 Making story from system logs with stack [email protected] https://imtiazrahman.com https://github.com/imtiazrahman Logs syslog Audit SNMP NETFLOW http METRIC DNS ids What is Elastic Stack ? Store, Analyze Ingest User Interface a full-text based, distributed NoSQL database. Written in Java, built on Apache Lucene Commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases. Use REST API (GET, PUT, POST, and DELETE ) for storing and searching data Data is stored as documents (rows in relational database) Data is separated into fields (columns in relational database) Relational Database Elasticsearch Database Index Table Type Row/Record Document Column Name Field Terminology Cluster: A cluster consists of one or more nodes which share the same cluster name. Node: A node is a running instance of elasticsearch which belongs to a cluster. Terminology Index: Collection of documents Shard: An index is split into elements known as shards that are distributed across multiple nodes. There are two types of shard, Primary and replica. By default elasticsearch creates 1 primary shard and 1 replica shard for each index. Terminology Shard 1 Replica 1 Replica 2 Shard 2 Node 1 Node 2 cluster Terminology Documents { • Indices hold documents in "_index": "netflow-2020.10.08", "_type": "_doc", serialized JSON objects "_id": "ZwkiB3UBULotwSOX3Bdb", "_version": 1, • 1 document = 1 log entry "_score": null, "_source": { • Contains "field : value" pairs -
NGINX-Conf-2018-Slides Rawdat
Performance Tuning NGINX Name: Amir Rawdat Currently: Technical Marketing Engineer at NGINX inc. Previously: - Customer Applications Engineer at Nokia inc. Multi-Process Architecture with QPI Bus Web Server Topology wrk nginx Reverse Proxy Topology wrk nginx nginx J6 Technical Specifications # Sockets # Cores # Model RAM OS NIC per Threads Name Socket per Core Client 2 22 2 Intel(R) 128 GB Ubuntu 40GbE Xeon(R) CPU Xenial QSFP+ E5-2699 v4 @ 2.20GHz Web Server 2 24 2 Intel(R) 192 GB Ubuntu 40GbE Xeon(R) & Platinum Xenial QSFP+ Reverse 8168 CPU @ Proxy 2.70GHz Multi-Processor Architecture #1 Duplicate NGINX Configurations J9 Multi-Processor Architecture NGINX Configuration (Instance 1) user root; worker_processes 48 ; worker_cpu_affinity auto 000000000000000000000000111111111111111111111111000000000000000000000000111111111111111111111111; worker_rlimit_nofile 1024000; error_log /home/ubuntu/access.error error; ….. ……. J11 NGINX Configuration (Instance 2) user root; worker_processes 48 ; worker_cpu_affinity auto 111111111111111111111111000000000000000000000000111111111111111111111111000000000000000000000000; worker_rlimit_nofile 1024000; error_log /home/ubuntu/access.error error; ……. ……. J12 Deploying NGINX Instances $ nginx –c /path/to/configuration/instance-1 $ nginx –c /path/to/configuration/instance-2 $ ps aux | grep nginx nginx: master process /usr/sbin/nginx -c /etc/nginx/nginx_0.conf nginx: worker process nginx: worker process nginx: master process /usr/sbin/nginx -c /etc/nginx/nginx_1.conf nginx: worker process nginx: worker process -
Learning Javascript Design Patterns
Learning JavaScript Design Patterns Addy Osmani Beijing • Cambridge • Farnham • Köln • Sebastopol • Tokyo Learning JavaScript Design Patterns by Addy Osmani Copyright © 2012 Addy Osmani. All rights reserved. Revision History for the : 2012-05-01 Early release revision 1 See http://oreilly.com/catalog/errata.csp?isbn=9781449331818 for release details. ISBN: 978-1-449-33181-8 1335906805 Table of Contents Preface ..................................................................... ix 1. Introduction ........................................................... 1 2. What is a Pattern? ...................................................... 3 We already use patterns everyday 4 3. 'Pattern'-ity Testing, Proto-Patterns & The Rule Of Three ...................... 7 4. The Structure Of A Design Pattern ......................................... 9 5. Writing Design Patterns ................................................. 11 6. Anti-Patterns ......................................................... 13 7. Categories Of Design Pattern ............................................ 15 Creational Design Patterns 15 Structural Design Patterns 16 Behavioral Design Patterns 16 8. Design Pattern Categorization ........................................... 17 A brief note on classes 17 9. JavaScript Design Patterns .............................................. 21 The Creational Pattern 22 The Constructor Pattern 23 Basic Constructors 23 Constructors With Prototypes 24 The Singleton Pattern 24 The Module Pattern 27 iii Modules 27 Object Literals 27 The Module Pattern -
Bepasty Documentation Release 0.3.0
bepasty Documentation Release 0.3.0 The Bepasty Team (see AUTHORS file) Jul 02, 2019 Contents 1 Contents 3 1.1 bepasty..................................................3 1.2 Using bepasty’s web interface......................................4 1.3 Using bepasty with non-web clients...................................6 1.4 Quickstart................................................7 1.5 Installation tutorial with Debian, NGinx and gunicorn......................... 10 1.6 ChangeLog................................................ 12 1.7 The bepasty software Project....................................... 14 1.8 License.................................................. 14 1.9 Authors.................................................. 15 Index 17 i ii bepasty Documentation, Release 0.3.0 bepasty is like a pastebin for every kind of file (text, image, audio, video, documents, . ). You can upload multiple files at once, simply by drag and drop. Contents 1 bepasty Documentation, Release 0.3.0 2 Contents CHAPTER 1 Contents 1.1 bepasty bepasty is like a pastebin for all kinds of files (text, image, audio, video, documents, . , binary). The documentation is there: http://bepasty-server.readthedocs.org/en/latest/ 1.1.1 Features • Generic: – you can upload multiple files at once, simply by drag and drop – after upload, you get a unique link to a view of each file – on that view, we show actions you can do with the file, metadata of the file and, if possible, we also render the file contents – if you uploaded multiple files, you can create a pastebin with the list -
Next Generation Web Scanning Presentation
Next generation web scanning New Zealand: A case study First presented at KIWICON III 2009 By Andrew Horton aka urbanadventurer NZ Web Recon Goal: To scan all of New Zealand's web-space to see what's there. Requirements: – Targets – Scanning – Analysis Sounds easy, right? urbanadventurer (Andrew Horton) www.morningstarsecurity.com Targets urbanadventurer (Andrew Horton) www.morningstarsecurity.com Targets What does 'NZ web-space' mean? It could mean: •Geographically within NZ regardless of the TLD •The .nz TLD hosted anywhere •All of the above For this scan it means, IPs geographically within NZ urbanadventurer (Andrew Horton) www.morningstarsecurity.com Finding Targets We need creative methods to find targets urbanadventurer (Andrew Horton) www.morningstarsecurity.com DNS Zone Transfer urbanadventurer (Andrew Horton) www.morningstarsecurity.com Find IP addresses on IRC and by resolving lots of NZ websites 58.*.*.* 60.*.*.* 65.*.*.* 91.*.*.* 110.*.*.* 111.*.*.* 113.*.*.* 114.*.*.* 115.*.*.* 116.*.*.* 117.*.*.* 118.*.*.* 119.*.*.* 120.*.*.* 121.*.*.* 122.*.*.* 123.*.*.* 124.*.*.* 125.*.*.* 130.*.*.* 131.*.*.* 132.*.*.* 138.*.*.* 139.*.*.* 143.*.*.* 144.*.*.* 146.*.*.* 150.*.*.* 153.*.*.* 156.*.*.* 161.*.*.* 162.*.*.* 163.*.*.* 165.*.*.* 166.*.*.* 167.*.*.* 192.*.*.* 198.*.*.* 202.*.*.* 203.*.*.* 210.*.*.* 218.*.*.* 219.*.*.* 222.*.*.* 729,580,500 IPs. More than we want to try. urbanadventurer (Andrew Horton) www.morningstarsecurity.com IP address blocks in the IANA IPv4 Address Space Registry Prefix Designation Date Whois Status [1] ----- -
Load Balancing for Heterogeneous Web Servers
Load Balancing for Heterogeneous Web Servers Adam Pi´orkowski1, Aleksander Kempny2, Adrian Hajduk1, and Jacek Strzelczyk1 1 Department of Geoinfomatics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland {adam.piorkowski,jacek.strzelczyk}@agh.edu.pl http://www.agh.edu.pl 2 Adult Congenital and Valvular Heart Disease Center University of Muenster, Muenster, Germany [email protected] http://www.ukmuenster.de Abstract. A load balancing issue for heterogeneous web servers is de- scribed in this article. The review of algorithms and solutions is shown. The selected Internet service for on-line echocardiography training is presented. The independence of simultaneous requests for this server is proved. Results of experimental tests are presented3. Key words: load balancing, scalability, web server, minimum response time, throughput, on-line simulator 1 Introduction Modern web servers can handle millions of queries, although the performance of a single node is limited. Performance can be continuously increased, if the services are designed so that they can be scaled. The concept of scalability is closely related to load balancing. This technique has been used since the beginning of the first distributed systems, including rich client architecture. Most of the complex web systems use load balancing to improve performance, availability and security [1{4]. 2 Load Balancing in Cluster of web servers Clustering of web servers is a method of constructing scalable Internet services. The basic idea behind the construction of such a service is to set the relay server 3 This is the accepted version of: Piorkowski, A., Kempny, A., Hajduk, A., Strzelczyk, J.: Load Balancing for Heterogeneous Web Servers. -
The Zope Developer's Guide (2.4 Edition)
The Zope Developer's Guide (2.4 Edition) Chris McDonough, Michel Pelletier, Shane Hathaway Zope Developer's Guide (2.4 edition) Introduction 7 Chapter 1: Components and Interfaces 8 Zope Components 8 Python Interfaces 10 Why Use Interfaces? 10 Creating Interfaces 10 The Interface Model 12 Querying an Interface 12 Checking Implementation 13 Conclusion 14 Chapter 2: Object Publishing 15 Introduction 15 HTTP Publishing 15 15 URL Traversal 16 Traversal Interfaces 17 Publishable Object Requirements 17 Traversal Methods 17 Publishing Methods 18 HTTP Responses 19 Controlling Base HREF 19 Response Headers 20 Pre-Traversal Hook 20 Traversal and Acquisition 20 Traversal and Security 22 Basic Publisher Security 22 Zope Security 22 Environment Variables 23 Testing 23 Publishable Module 23 Calling the Published Object 24 Marshalling Arguments from the Request 24 Argument Conversion 24 Method Arguments 25 Record Arguments 26 Exceptions 27 2 Zope Developer's Guide (2.4 edition) Exceptions and Transactions 27 Manual Access to Request and Response 28 Other Network Protocols 29 FTP 29 WebDAV 30 Supporting Write Locking 30 XML-RPC 31 Summary 32 Chapter 3: Zope Products 33 Introduction 33 Development Process 33 Consider Alternatives 33 Starting with Interfaces 33 Implementing Interfaces 34 Building Product Classes 35 Base Classes 35 Acquisition.Implicit 35 Globals.Persistent 36 OFS.SimpleItem.Item 36 AccessControl.Role.RoleManager 37 OFS.ObjectManager 37 OFS.PropertyManager 37 Security Declarations 38 Summary 39 Registering Products 40 Product Initialization