Building Cloud- Native Applications with Node.Js and Azure Ii
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Iot Continuum: Evolving Business Iot in Action, Taipei, November 20Th —Event Agenda
IoT Continuum: Evolving Business IoT in Action, Taipei, November 20th —Event Agenda Executive Keynote 9:30–10:15am Business Transformation In Action 10:15–11:00am Architecting the Intelligent Edge to Create Scalable Repeatable Solutions 11:00–12:00pm Lunch Networking Break 12:00–1:00pm Unlocking IoT’s Potential 1:00–1:45pm Developing an IoT Security Practice for Durable Innovation 1:45–2:15pm Partner Case Study: Innodisk Corporation 2:15-2:45pm Afternoon Networking Break 2:45-3:30pm Evolving IoT with Mixed Reality, AI, Drone and Robotic Technology 3:30–4:00pm Partner Case Study: AAEON Technology, Inc. 4:00-4:30pm Activating Microsoft Resources & Programs to Accelerate Time to Market and Co-sell 4:30–5:00pm Partner-Customer Networking & Sponsored Partner Solution Showcase All day Our Goal IoT Community Partners Technology 50B 175ZB total amount of data connected devices by 2025 by 2030 500M+ business apps by 2023 “Building applications for multi-device, multi-sense experiences is going to require a very different form of computing architecture. That's the motivation for bringing together all of our systems and people. Silicon in the edge to the silicon in the cloud architected as one workload that is distributed— that’s the challenge in front of us.” Intelligent Cloud —Satya Nadella, Q&A Session, April 2018 Intelligent Edge Innovations enabling new opportunities Digital Twins AI Edge Cloud IoT Globally available, unlimited Harnessing signals from Intelligence offloaded from the Breakthrough intelligence Create living replicas of any compute -
Redis and Memcached
Redis and Memcached Speaker: Vladimir Zivkovic, Manager, IT June, 2019 Problem Scenario • Web Site users wanting to access data extremely quickly (< 200ms) • Data being shared between different layers of the stack • Cache a web page sessions • Research and test feasibility of using Redis as a solution for storing and retrieving data quickly • Load data into Redis to test ETL feasibility and Performance • Goal - get sub-second response for API calls for retrieving data !2 Why Redis • In-memory key-value store, with persistence • Open source • Written in C • It can handle up to 2^32 keys, and was tested in practice to handle at least 250 million of keys per instance.” - http://redis.io/topics/faq • Most popular key-value store - http://db-engines.com/en/ranking !3 History • REmote DIctionary Server • Released in 2009 • Built in order to scale a website: http://lloogg.com/ • The web application of lloogg was an ajax app to show the site traffic in real time. Needed a DB handling fast writes, and fast ”get latest N items” operation. !4 Redis Data types • Strings • Bitmaps • Lists • Hyperlogs • Sets • Geospatial Indexes • Sorted Sets • Hashes !5 Redis protocol • redis[“key”] = “value” • Values can be strings, lists or sets • Push and pop elements (atomic) • Fetch arbitrary set and array elements • Sorting • Data is written to disk asynchronously !6 Memory Footprint • An empty instance uses ~ 3MB of memory. • For 1 Million small Keys => String Value pairs use ~ 85MB of memory. • 1 Million Keys => Hash value, representing an object with 5 fields, -
Redis - a Flexible Key/Value Datastore an Introduction
Redis - a Flexible Key/Value Datastore An Introduction Alexandre Dulaunoy AIMS 2011 MapReduce and Network Forensic • MapReduce is an old concept in computer science ◦ The map stage to perform isolated computation on independent problems ◦ The reduce stage to combine the computation results • Network forensic computations can easily be expressed in map and reduce steps: ◦ parsing, filtering, counting, sorting, aggregating, anonymizing, shuffling... 2 of 16 Concurrent Network Forensic Processing • To allow concurrent processing, a non-blocking data store is required • To allow flexibility, a schema-free data store is required • To allow fast processing, you need to scale horizontally and to know the cost of querying the data store • To allow streaming processing, write/cost versus read/cost should be equivalent 3 of 16 Redis: a key-value/tuple store • Redis is key store written in C with an extended set of data types like lists, sets, ranked sets, hashes, queues • Redis is usually in memory with persistence achieved by regularly saving on disk • Redis API is simple (telnet-like) and supported by a multitude of programming languages • http://www.redis.io/ 4 of 16 Redis: installation • Download Redis 2.2.9 (stable version) • tar xvfz redis-2.2.9.tar.gz • cd redis-2.2.9 • make 5 of 16 Keys • Keys are free text values (up to 231 bytes) - newline not allowed • Short keys are usually better (to save memory) • Naming convention are used like keys separated by colon 6 of 16 Value and data types • binary-safe strings • lists of binary-safe strings • sets of binary-safe strings • hashes (dictionary-like) • pubsub channels 7 of 16 Running redis and talking to redis.. -
Package 'Azurecosmosr'
Package ‘AzureCosmosR’ January 19, 2021 Title Interface to the 'Azure Cosmos DB' 'NoSQL' Database Service Version 1.0.0 Description An interface to 'Azure CosmosDB': <https://azure.microsoft.com/en-us/services/cosmos- db/>. On the admin side, 'AzureCosmosR' provides functionality to create and manage 'Cos- mos DB' instances in Microsoft's 'Azure' cloud. On the client side, it provides an inter- face to the 'Cosmos DB' SQL API, letting the user store and query documents and attach- ments in 'Cosmos DB'. Part of the 'AzureR' family of packages. URL https://github.com/Azure/AzureCosmosR https://github.com/Azure/AzureR BugReports https://github.com/Azure/AzureCosmosR/issues License MIT + file LICENSE VignetteBuilder knitr Depends R (>= 3.3) Imports utils, AzureRMR (>= 2.3.3), curl, openssl, jsonlite, httr, uuid, vctrs (>= 0.3.0) Suggests AzureTableStor, mongolite, DBI, odbc, dplyr, testthat, knitr, rmarkdown RoxygenNote 7.1.1 NeedsCompilation no Author Hong Ooi [aut, cre], Andrew Liu [ctb] (Assistance with Cosmos DB), Microsoft [cph] Maintainer Hong Ooi <[email protected]> Repository CRAN Date/Publication 2021-01-18 23:50:05 UTC R topics documented: az_cosmosdb . .2 bulk_delete . .3 1 2 az_cosmosdb bulk_import . .5 cosmos_endpoint . .6 cosmos_mongo_endpoint . .9 create_cosmosdb_account . 11 delete_cosmosdb_account . 12 do_cosmos_op . 13 get_cosmosdb_account . 14 get_cosmos_container . 15 get_cosmos_database . 17 get_document . 19 get_partition_key . 21 get_stored_procedure . 22 get_udf . 24 query_documents . 26 Index 29 az_cosmosdb Azure Cosmos DB account class Description Class representing an Azure Cosmos DB account. For working with the data inside the account, see cosmos_endpoint and cosmos_database. Methods The following methods are available, in addition to those provided by the AzureRMR::az_resource class: • list_keys(read_only=FALSE): Return the access keys for this account. -
Performance at Scale with Amazon Elasticache
Performance at Scale with Amazon ElastiCache July 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. Contents Introduction .......................................................................................................................... 1 ElastiCache Overview ......................................................................................................... 2 Alternatives to ElastiCache ................................................................................................. 2 Memcached vs. Redis ......................................................................................................... 3 ElastiCache for Memcached ............................................................................................... 5 Architecture with ElastiCache for Memcached ............................................................... -
Cosmos Db Create Document
Cosmos Db Create Document Rightable and expectative Anatol often set-off some privies gibingly or intellectualised indulgently. Clumsiest Rich seduced afoul. Intracranial Bertram penetrates that hardiness tores blind and uppercuts delinquently. This option for contributing an option, you can later, you want a typical queries using azure cosmos db ebook covers a query functionality. Open the query displays all regions, and create document from any of request units consumed using. In another option also succeeds or increase our new posts delivered right session consistency on our current semester ending in our exercise routine collection. The second type is far less structured way. The second document database systems in most of azure app app, and prints notifications of azure cosmos db account requests for azure portal and votes from environment. Write data as azure cosmos. Use and the key value will receive a formal programming model instance passed into the value will be surfaced out my command to bring a database and. Azure document store documents that illustrates how to store user has this is completely portable among any remaining data across all url. Like azure cosmos account. Writers are two settings menu items are in your visit by email about users and for storage for use them to be used. Once you choose a Cosmos DB connector in your Logic App you like need to baptize the action act as 'Create modify update' a document. They occur and partition! Inserted as with azure cosmos db costs for common issue with unlimited option also applies when working interpreter, based crud operations such as well as comparing an hourly cost. -
Scaling Uber with Node.Js Amos Barreto @Amos Barreto
Scaling Uber with Node.js Amos Barreto @amos_barreto Uber is everyone’s Private driver. REQUEST! RIDE! RATE! Tap to select location Sit back and relax, tell your Help us maintain a quality service" driver your destination by rating your experience YOUR DRIVERS 4 Your Drivers UBER QUALIFIED RIDER RATED LICENSED & INSURED Uber only partners with drivers Tell us what you think. Your From insurance to background who have a keen eye for feedback helps us work with checks, every driver meets or customer service and a drivers to constantly improve beats local regulations. passion for the trade. the Uber experience. 19 LOGISTICS 4 #OMGUBERICECREAM 22 UberChopper #OMGUBERCHOPPER 22 #UBERVALENTINES 22 #ICANHASUBERKITTENS 22 Trip State Machine (Simplified) Request Dispatch Accept Arrive End Begin 6 Trip State Machine (Extended) Expire / Request Dispatch (1) Reject Dispatch (2) Accept Arrive End Begin 6 OUR STORY 4 Version 1 • PHP dispatch PHP • Outsourced to remote contractors in Midwest • Half the code in spanish Cron • Flat file " • Lifetime: 6-9 months 6 33 “I read an article on HackerNews about a new framework called Node.js” """"Jason Roberts" Tradeoffs • Learning curve • Database drivers " " • Scalability • Documentation" " " • Performance • Monitoring" " " • Library ecosystem • Production operations" Version 2 • Lifetime: 9 months " Node.js • Developed in house " • Node.js application • Prototyped on 0.2 • Launched in production with 0.4 " • MongoDB datastore “I really don’t see dispatch changing much in the next three years” 33 Expect the -
Redis-Lua Documentation Release 2.0.8
redis-lua Documentation Release 2.0.8 Julien Kauffmann October 12, 2016 Contents 1 Quick start 3 1.1 Step-by-step analysis...........................................3 2 What’s the magic at play here ?5 3 One step further 7 4 What happens when I make a mistake ?9 5 What’s next ? 11 6 Table of contents 13 6.1 Basic usage................................................ 13 6.2 Advanced usage............................................. 14 6.3 API.................................................... 16 7 Indices and tables 19 i ii redis-lua Documentation, Release 2.0.8 redis-lua is a pure-Python library that eases usage of LUA scripts with Redis. It provides script loading and parsing abilities as well as testing primitives. Contents 1 redis-lua Documentation, Release 2.0.8 2 Contents CHAPTER 1 Quick start A code sample is worth a thousand words: from redis_lua import load_script # Loads the 'create_foo.lua' in the 'lua' directory. script= load_script(name='create_foo', path='lua/') # Run the script with the specified arguments. foo= script.get_runner(client=redis_client)( members={'john','susan','bob'}, size=5, ) 1.1 Step-by-step analysis Let’s go through the code sample step by step. First we have: from redis_lua import load_script We import the only function we need. Nothing too specific here. The next lines are: # Loads the 'create_foo.lua' in the 'lua' directory. script= load_script(name='create_foo', path='lua/') These lines looks for a file named create_foo.lua in the lua directory, relative to the current working directory. This example actually considers that using the current directory is correct. In a production code, you likely want to make sure to use a more reliable or absolute path. -
Redis in Action
IN ACTION Josiah L. Carlson FOREWORD BY Salvatore Sanfilippo MANNING Redis in Action Redis in Action JOSIAH L. CARLSON MANNING Shelter Island For online information and ordering of this and other Manning books, please visit www.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact Special Sales Department Manning Publications Co. 20 Baldwin Road PO Box 261 Shelter Island, NY 11964 Email: [email protected] ©2013 by Manning Publications Co. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15 percent recycled and processed without the use of elemental chlorine. Manning Publications Co. Development editor: Elizabeth Lexleigh 20 Baldwin Road Technical proofreaders: James Philips, Kevin Chang, PO Box 261 and Nicholas Lindgren Shelter Island, NY 11964 Java translator: Eric Van Dewoestine Copyeditor: Benjamin Berg Proofreader: Katie Tennant Typesetter: Gordan Salinovic Cover designer: Marija Tudor ISBN 9781935182054 Printed in the United States of America 1 2 3 4 5 6 7 8 9 10 – MAL – 18 17 16 15 14 13 To my dear wife, See Luan, and to our baby girl, Mikela brief contents PART 1 GETTING STARTED . -
VSI's Open Source Strategy
VSI's Open Source Strategy Plans and schemes for Open Source so9ware on OpenVMS Bre% Cameron / Camiel Vanderhoeven April 2016 AGENDA • Programming languages • Cloud • Integraon technologies • UNIX compability • Databases • Analy;cs • Web • Add-ons • Libraries/u;li;es • Other consideraons • SoDware development • Summary/conclusions tools • Quesons Programming languages • Scrip;ng languages – Lua – Perl (probably in reasonable shape) – Tcl – Python – Ruby – PHP – JavaScript (Node.js and friends) – Also need to consider tools and packages commonly used with these languages • Interpreted languages – Scala (JVM) – Clojure (JVM) – Erlang (poten;ally a good fit with OpenVMS; can get good support from ESL) – All the above are seeing increased adop;on 3 Programming languages • Compiled languages – Go (seeing rapid adop;on) – Rust (relavely new) – Apple Swi • Prerequisites (not all are required in all cases) – LLVM backend – Tweaks to OpenVMS C and C++ compilers – Support for latest language standards (C++) – Support for some GNU C/C++ extensions – Updates to OpenVMS C RTL and threads library 4 Programming languages 1. JavaScript 2. Java 3. PHP 4. Python 5. C# 6. C++ 7. Ruby 8. CSS 9. C 10. Objective-C 11. Perl 12. Shell 13. R 14. Scala 15. Go 16. Haskell 17. Matlab 18. Swift 19. Clojure 20. Groovy 21. Visual Basic 5 See h%p://redmonk.com/sogrady/2015/07/01/language-rankings-6-15/ Programming languages Growing programming languages, June 2015 Steve O’Grady published another edi;on of his great popularity study on programming languages: RedMonk Programming Language Rankings: June 2015. As usual, it is a very valuable piece. There are many take-away from this research. -
Using Redis As a Cache Backend in Magento
Using Redis as a Cache Backend in Magento Written by: Alexey Samorukov Aleksandr Lozhechnik Kirill Morozov Table of Contents PROBLEMS WITH THE TWOLEVELS CACHE BACKEND 3 CONFIRMING THE ISSUE 5 SOLVING THE ISSUE USING THE REDIS CACHE BACKEND 7 TESTING AND BENCHMARKING THE SOLUTION 9 More Research into the TwoLevels Backend Issue 10 Magento Enterprise 1.13 and Memcached 11 Magento Enterprise Edition 1.13 with Redis and the PHP Redis Extension 11 Potential Issues with Redis as a Cache Backend 12 IMPLEMENTING AND TESTING REDIS IN A PRODUCTION ENVIRONMENT 13 Product Test Configurations 14 Redis Configuration 14 Magento Configuration 15 Production Test Results 15 Production Test Issue: Continuously Growing Cache Size 15 Root Cause and Conclusion 15 Work-around 16 Tag Clean-up Procedure and Script 16 CHANGES IN MAGENTO ENTERPRISE EDITION 1.13 AND COMMUNITY EDITION 1.8 18 ADDITIONAL LINKS 20 3 Problems with the TwoLevels Cache Backend Problems with the TwoLevels Cache Backend 4 Problems with the TwoLevels Cache Backend The most common cache storage recommendation for Magento users running multiple web nodes is to implement the TwoLevels backend – that is, to use Memcache together with the database. However, this configuration often causes the following issues: 1. First, the core_cache_tag table constantly grows. On average, each web site has about 5 million records. If a system has multiple web sites and web stores with large catalogs, it can easily grow to 15 million records in less than a day. Insertion into core_cache_tag leads to issues with the MySQL server, including performance degradation. In this context, a tag is an identifier that classifies different types of Magento cache objects. -
Microsoft Azure Azure Services
Microsoft Azure Microsoft Azure is supplier of more than 600 integrated Cloud services used to develop, deploy, host, secure and manage software apps. Microsoft Azure has been producing unrivaled results and benets for many businesses throughout recent years. With 54 regions, it is leading all cloud providers to date. With more than 70 compliance oerings, it has the largest portfolio in the industry. 95% of Fortune 500 companies trust their business on the MS cloud. Azure lets you add cloud capabilities to your existing network through its platform as a service (PaaS) model, or entrust Microsoft with all of your computing and network needs with Infrastructure as a Service (IaaS). Either option provides secure, reliable access to your cloud hosted data—one built on Microsoft’s proven architecture. Kinetix Solutions provides clients with “Software as a Service” (SaaS), “Platform as a Service” (PaaS) and “Infrastructure as a Service” (IaaS) for small to large businesses. Azure lets you add cloud capabilities to your existing network through its platform as a service (PaaS) model, or entrust Microsoft with all of your computing and network needs with Infrastructure as a Service (IaaS). Azure provides an ever expanding array of products and services designed to meet all your needs through one convenient, easy to manage platform. Below are just some of the many capabilities Microsoft oers through Azure and tips for determining if the Microsoft cloud is the right choice for your organization. Become more agile, exible and secure with Azure and