Building resilient infrastructure with CouchDB
|
|
|
- Mervin Owen
- 10 years ago
- Views:
Transcription
1 Building resilient infrastructure with CouchDB Tim Perry Tech Lead & Open-Source Champion at Softwire github.com/pimterry
2
3
4 Document Store { "_id":"my-document-example", "_rev":"21-qwe123asd", "some-content": { "a":1, "b":2 }, "a list!":[3,4,5] }
5 HTTP API $ curl-x GET {"_id":"a-doc-id" "_rev":"4-9812eojawd" "data":[1,2,3]}
6 HTTP API $ curl -X PUT \ -H'Content-Type: application/json' \ -d'{ "other data": 4}' {"ok":true, "id":"another-id", "rev":" "}
7 Replication # PullfromB>A $ curl-x POST \ -H 'Content-Type: application/json' \ -d '{"source": " "target": "demo-db", "continuous": true}' # PullfromA-> B $ curl-x POST \ -H 'Content-Type: application/json' \ -d '{"source": " "target": "demo-db", "continuous": true}'
8 Indexed Views Incremental Map/Reduce ACID (locally) Erlang-based Web UI Show Functions Filters Validation
9 Resilient Infrastructure
10 Let's break everything! whiletrue do curl-xpost' -H"content-type:application/json"\ -d'{"created_at":"'"`date`"'"}'\ --max-time0.1 curl-xpost' -H"content-type:application/json"\ -d'{"created_at":"'"`date`"'"}'\ --max-time0.1 done whiletrue do vagranthaltcouchdb-a--force sleep30 vagrantupcouchdb-a--no-provision sleep30 vagranthaltcouchdb-b--force sleep30 vagrantupcouchdb-b--no-provision sleep30 done (Some console logging omitted)
11 Is this useful?
12 Real World Example (Anonymized) B2B SaaS product, with strict SLAs Millions of paying daily users 3,000 servers across 25 datacentres 50,000 requests per second, average Highly latency sensitive Every request needs the (readonly) user session
13 Bonus Challenges Struggling network infrastructure Frequent loss of connection to datacentres Occasional power outages in datacentres Users can and do roam, worldwide Server failover is always to a different datacentre Data centres have hub & spoke connectivity only (through London)
14 Previous Solution Hold all user sessions in memory on every server Announce new sessions to every server with a central message queue Canonical store kept in a single RDBMS (for server initialisation)
15 Real World Problems Memory usage doesn't scale Network and server failures are big problems Message queue failures are catastrophic problems
16 CouchDB Solution Small LRU cache in every server CouchDB in every datacentre CouchDB in the central datacentre Hub & spoke replication Servers query local CouchDB by default, or fall back to central CouchDB
17 Real World Improvements No single point of failure Scales horizontally easily Major memory savings
18 Some Challenges Ops ramp-up Support service setup Disk usage
19 Hoodie
20 Hoodie No Backend Offline-First
21 Hoodie Save data $('.addtask.submit').click(function () { vardesc =$('.addtask.desc').val(); hoodie.store.add('task',{ desc: desc }); });
22 Hoodie Handle new data hoodie.store.on('add:task', function(task) { $('.tasklist').append('<li>'+task.desc+'</li>'); });
23 Hoodie Log in users $('.login').click(function(){ varusername=$(".username").val(); varpassword=$(".password").val(); hoodie.account.signin(username, password).done(loginsuccessful); });
24 Hoodie Architecture (From the Hoodie team at CC-BY-SA-NC)
25 Hoodie Future Architecture (Probably) (Modified, from the Hoodie team's diagram at CC-BY-SA-NC)
26 Why does any of this work?
27 Reliable Replication
28 Multiversion Concurrency Control (or MVCC)
29 Reliable Replication The Changes Feed $ curl-x GET { "results":[ {"seq":2,"id":"my-doc","changes":[{"rev":"1-128qw99"}]}, {"seq":3,"id":"my-doc","changes":[{"rev":"2-98s9123"}]}, ], last_seq: 3}
30 Reliable Replication Replication Process 1. Track the source's sequence number in a local-only metadata document in the target DB, unique to this replication, set to 0 initially 2. Read the changes from the source, since the sequence id stored in the local document in the target 3. Read any missing document revisions from the source DB 4. Write these updates to the target DB 5. Update the sequence number tracked in the target 6. Go to 2 (Paraphrased from
31 Append-Only B+ Trees
32 Append-Only B+ Trees (From 'CouchDB: The Definitive Guide', CC-BY)
33 Did we break everything? whiletrue do curl-xpost' -H"content-type:application/json"\ -d'{"created_at":"'"`date`"'"}'\ --max-time0.1 curl-xpost' -H"content-type:application/json"\ -d'{"created_at":"'"`date`"'"}'\ --max-time0.1 done whiletrue do vagranthaltcouchdb-a--force sleep30 vagrantupcouchdb-a--no-provision sleep30 vagranthaltcouchdb-b--force sleep30 vagrantupcouchdb-b--no-provision sleep30 done (Some console logging omitted)
34 Phew.
35 CouchDB is not perfect
36 But 'always available' is a great superpower
37 Any questions? Tim Perry Tech Lead & Open-Source Champion at Softwire github.com/pimterry
CASE STUDY: Oracle TimesTen In-Memory Database and Shared Disk HA Implementation at Instance level. -ORACLE TIMESTEN 11gR1
CASE STUDY: Oracle TimesTen In-Memory Database and Shared Disk HA Implementation at Instance level -ORACLE TIMESTEN 11gR1 CASE STUDY Oracle TimesTen In-Memory Database and Shared Disk HA Implementation
JBoss & Infinispan open source data grids for the cloud era
JBoss & Infinispan open source data grids for the cloud era Dimitris Andreadis Manager of Software Engineering JBoss Application Server JBoss by Red Hat 5 th Free and Open Source Developer s Conference
In Memory Accelerator for MongoDB
In Memory Accelerator for MongoDB Yakov Zhdanov, Director R&D GridGain Systems GridGain: In Memory Computing Leader 5 years in production 100s of customers & users Starts every 10 secs worldwide Over 15,000,000
NoSQL Databases. Nikos Parlavantzas
!!!! NoSQL Databases Nikos Parlavantzas Lecture overview 2 Objective! Present the main concepts necessary for understanding NoSQL databases! Provide an overview of current NoSQL technologies Outline 3!
Cloud Elements! Marketing Hub Provisioning and Usage Guide!
Cloud Elements Marketing Hub Provisioning and Usage Guide API Version 2.0 Page 1 Introduction The Cloud Elements Marketing Hub is the first API that unifies marketing automation across the industry s leading
AppSense Environment Manager. Enterprise Design Guide
Enterprise Design Guide Contents Introduction... 3 Document Purpose... 3 Basic Architecture... 3 Common Components and Terminology... 4 Best Practices... 5 Scalability Designs... 6 Management Server Scalability...
MiaRec. Architecture for SIPREC recording
Architecture for SIPREC recording Table of Contents 1 Overview... 3 2 Architecture... 4 3 Third-party application integration... 6 3.1 REST API... 6 3.2 Direct access to MiaRec resources... 7 4 High availability
Glassfish Architecture.
Glassfish Architecture. First part Introduction. Over time, GlassFish has evolved into a server platform that is much more than the reference implementation of the Java EE specifcations. It is now a highly
Comparison of the Frontier Distributed Database Caching System with NoSQL Databases
Comparison of the Frontier Distributed Database Caching System with NoSQL Databases Dave Dykstra [email protected] Fermilab is operated by the Fermi Research Alliance, LLC under contract No. DE-AC02-07CH11359
An Approach to Implement Map Reduce with NoSQL Databases
www.ijecs.in International Journal Of Engineering And Computer Science ISSN: 2319-7242 Volume 4 Issue 8 Aug 2015, Page No. 13635-13639 An Approach to Implement Map Reduce with NoSQL Databases Ashutosh
Eloquence Training What s new in Eloquence B.08.00
Eloquence Training What s new in Eloquence B.08.00 2010 Marxmeier Software AG Rev:100727 Overview Released December 2008 Supported until November 2013 Supports 32-bit and 64-bit platforms HP-UX Itanium
Low-cost Open Data As-a-Service in the Cloud
Low-cost Open Data As-a-Service in the Cloud Marin Dimitrov, Alex Simov, Yavor Petkov Ontotext AD, Bulgaria {first.last}@ontotext.com Abstract. In this paper we present the architecture and prototype of
Petabyte Scale Data at Facebook. Dhruba Borthakur, Engineer at Facebook, XLDB Conference at Stanford University, Sept 2012
Petabyte Scale Data at Facebook Dhruba Borthakur, Engineer at Facebook, XLDB Conference at Stanford University, Sept 2012 Agenda 1 Types of Data 2 Data Model and API for Facebook Graph Data 3 SLTP (Semi-OLTP)
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM Sneha D.Borkar 1, Prof.Chaitali S.Surtakar 2 Student of B.E., Information Technology, J.D.I.E.T, [email protected] Assistant Professor, Information
Configuring CQ Security
Configuring CQ Security About Me CQ Architect for Inside Solutions http://inside-solutions.ch CQ Blog: http://cqblog.inside-solutions.ch Customer Projects with Adobe CQ Training Material on Adobe CQ Agenda
Cloudera Manager Training: Hands-On Exercises
201408 Cloudera Manager Training: Hands-On Exercises General Notes... 2 In- Class Preparation: Accessing Your Cluster... 3 Self- Study Preparation: Creating Your Cluster... 4 Hands- On Exercise: Working
Cosmos. Big Data and Big Challenges. Ed Harris - Microsoft Online Services Division HTPS 2011
Cosmos Big Data and Big Challenges Ed Harris - Microsoft Online Services Division HTPS 2011 1 Outline Introduction Cosmos Overview The Structured s Project Conclusion 2 What Is COSMOS? Petabyte Store and
Design for Failure High Availability Architectures using AWS
Design for Failure High Availability Architectures using AWS Harish Ganesan Co founder & CTO 8KMiles www.twitter.com/harish11g http://www.linkedin.com/in/harishganesan Sample Use Case Multi tiered LAMP/LAMJ
Tushar Joshi Turtle Networks Ltd
MySQL Database for High Availability Web Applications Tushar Joshi Turtle Networks Ltd www.turtle.net Overview What is High Availability? Web/Network Architecture Applications MySQL Replication MySQL Clustering
Scalable Architecture on Amazon AWS Cloud
Scalable Architecture on Amazon AWS Cloud Kalpak Shah Founder & CEO, Clogeny Technologies [email protected] 1 * http://www.rightscale.com/products/cloud-computing-uses/scalable-website.php 2 Architect
Architectural patterns for building real time applications with Apache HBase. Andrew Purtell Committer and PMC, Apache HBase
Architectural patterns for building real time applications with Apache HBase Andrew Purtell Committer and PMC, Apache HBase Who am I? Distributed systems engineer Principal Architect in the Big Data Platform
Budget Event Management Design Document
Budget Event Management Design Document Team 4 Yifan Yin(TL), Jiangnan Shangguan, Yuan Xia, Di Xu, Xuan Xu, Long Zhen 1 Purpose Summary List of Functional Requirements General Priorities Usability Accessibility
Technical Overview: Anatomy of the Cloudant DBaaS
Technical Overview: Anatomy of the Cloudant DBaaS Guaranteed Data Layer Performance, Scalability, and Availability 2013 Cloudant, Inc. 1 The End of Scale- It- Yourself Databases? Today s applications are
Petabyte Scale Data at Facebook. Dhruba Borthakur, Engineer at Facebook, SIGMOD, New York, June 2013
Petabyte Scale Data at Facebook Dhruba Borthakur, Engineer at Facebook, SIGMOD, New York, June 2013 Agenda 1 Types of Data 2 Data Model and API for Facebook Graph Data 3 SLTP (Semi-OLTP) and Analytics
HDMQ :Towards In-Order and Exactly-Once Delivery using Hierarchical Distributed Message Queues. Dharmit Patel Faraj Khasib Shiva Srivastava
HDMQ :Towards In-Order and Exactly-Once Delivery using Hierarchical Distributed Message Queues Dharmit Patel Faraj Khasib Shiva Srivastava Outline What is Distributed Queue Service? Major Queue Service
Overview of Databases On MacOS. Karl Kuehn Automation Engineer RethinkDB
Overview of Databases On MacOS Karl Kuehn Automation Engineer RethinkDB Session Goals Introduce Database concepts Show example players Not Goals: Cover non-macos systems (Oracle) Teach you SQL Answer what
Department of Computer Science University of Cyprus EPL646 Advanced Topics in Databases. Lecture 12
Department of Computer Science University of Cyprus EPL646 Advanced Topics in Databases Lecture 12 Big Data Management II (NoSQL Databases / CouchDB) Chapter 20: Abiteboul et. Al. + http://guide.couchdb.org/
A simple object storage system for web applications Dan Pollack AOL
A simple object storage system for web applications Dan Pollack AOL AOL Leading edge web services company AOL s business spans the internet 2 Motivation Most web content is static and shared Traditional
Open Source DBMS CUBRID 2008 & Community Activities. Byung Joo Chung [email protected]
Open Source DBMS CUBRID 2008 & Community Activities Byung Joo Chung [email protected] Agenda Open Source DBMS CUBRID 2008 CUBRID Community Activities Open Source DBMS CUBRID 2008 Open Source DBMS CUBRID
Petabyte Scale Data at Facebook. Dhruba Borthakur, Engineer at Facebook, UC Berkeley, Nov 2012
Petabyte Scale Data at Facebook Dhruba Borthakur, Engineer at Facebook, UC Berkeley, Nov 2012 Agenda 1 Types of Data 2 Data Model and API for Facebook Graph Data 3 SLTP (Semi-OLTP) and Analytics data 4
McAfee Agent Handler
McAfee Agent Handler COPYRIGHT Copyright 2009 McAfee, Inc. All Rights Reserved. No part of this publication may be reproduced, transmitted, transcribed, stored in a retrieval system, or translated into
Monitoring and Alerting
Monitoring and Alerting All the things I've tried that didn't work, plus a few others. By Aaron S. Joyner Senior System Administrator Google, Inc. Blackbox vs Whitebox Blackbox: Requires no participation
Hitachi Content Platform as a Continuous Integration Build Artifact Storage System
Hitachi Content Platform as a Continuous Integration Build Artifact Storage System A Hitachi Data Systems Case Study By Hitachi Data Systems March 2015 Contents Executive Summary... 2 Introduction... 3
How to Setup SQL Server Replication
Introduction This document describes a scenario how to setup the Transactional SQL Server Replication. Before we proceed for Replication setup you can read brief note about Understanding of Replication
F1: A Distributed SQL Database That Scales. Presentation by: Alex Degtiar ([email protected]) 15-799 10/21/2013
F1: A Distributed SQL Database That Scales Presentation by: Alex Degtiar ([email protected]) 15-799 10/21/2013 What is F1? Distributed relational database Built to replace sharded MySQL back-end of AdWords
<Insert Picture Here> Oracle In-Memory Database Cache Overview
Oracle In-Memory Database Cache Overview Simon Law Product Manager The following is intended to outline our general product direction. It is intended for information purposes only,
Alfresco Enterprise on AWS: Reference Architecture
Alfresco Enterprise on AWS: Reference Architecture October 2013 (Please consult http://aws.amazon.com/whitepapers/ for the latest version of this paper) Page 1 of 13 Abstract Amazon Web Services (AWS)
Real-time Data Replication
Real-time Data Replication from Oracle to other databases using DataCurrents WHITEPAPER Contents Data Replication Concepts... 2 Real time Data Replication... 3 Heterogeneous Data Replication... 4 Different
Monitoring Agent for Microsoft Exchange Server 6.3.1 Fix Pack 9. Reference IBM
Monitoring Agent for Microsoft Exchange Server 6.3.1 Fix Pack 9 Reference IBM Monitoring Agent for Microsoft Exchange Server 6.3.1 Fix Pack 9 Reference IBM Note Before using this information and the product
Cloud Computing at Google. Architecture
Cloud Computing at Google Google File System Web Systems and Algorithms Google Chris Brooks Department of Computer Science University of San Francisco Google has developed a layered system to handle webscale
Hacettepe University Department Of Computer Engineering BBM 471 Database Management Systems Experiment
Hacettepe University Department Of Computer Engineering BBM 471 Database Management Systems Experiment Subject NoSQL Databases - MongoDB Submission Date 20.11.2013 Due Date 26.12.2013 Programming Environment
Getting Real Real Time Data Integration Patterns and Architectures
Getting Real Real Time Data Integration Patterns and Architectures Nelson Petracek Senior Director, Enterprise Technology Architecture Informatica Digital Government Institute s Enterprise Architecture
TESTING AND OPTIMIZING WEB APPLICATION S PERFORMANCE AQA CASE STUDY
TESTING AND OPTIMIZING WEB APPLICATION S PERFORMANCE AQA CASE STUDY 2 Intro to Load Testing Copyright 2009 TEST4LOAD Software Load Test Experts What is Load Testing? Load testing generally refers to the
This presentation covers virtual application shared services supplied with IBM Workload Deployer version 3.1.
This presentation covers virtual application shared services supplied with IBM Workload Deployer version 3.1. WD31_VirtualApplicationSharedServices.ppt Page 1 of 29 This presentation covers the shared
NoSQL replacement for SQLite (for Beatstream) Antti-Jussi Kovalainen Seminar OHJ-1860: NoSQL databases
NoSQL replacement for SQLite (for Beatstream) Antti-Jussi Kovalainen Seminar OHJ-1860: NoSQL databases Background Inspiration: postgresapp.com demo.beatstream.fi (modern desktop browsers without
Sharding with postgres_fdw
Sharding with postgres_fdw Postgres Open 2013 Chicago Stephen Frost [email protected] Resonate, Inc. Digital Media PostgreSQL Hadoop [email protected] http://www.resonateinsights.com Stephen
Qualys API Limits. July 10, 2014. Overview. API Control Settings. Implementation
Qualys API Limits July 10, 2014 Overview The Qualys API enforces limits on the API calls a customer can make based on their subscription settings, starting with Qualys version 6.5. The limits apply to
the client omits the BranchCache identifier from the request message.
Office Clients Distributed Cache Mode Step 3. Multicast with Metadata Step 4. No Replies Office Client Remote Server Hosted Cache Mode Step 3. Forwarded Metadata Step 4. Negative Reply Office Server 5.
Network Registrar Data Backup and Recovery Strategies
White Paper Network Registrar Data Backup and Recovery Strategies White Paper 2011 Cisco and/or its affiliates. All rights reserved. This document is Cisco Public Information. Page 1 of 7 Introduction...
Informatica Master Data Management Multi Domain Hub API: Performance and Scalability Diagnostics Checklist
Informatica Master Data Management Multi Domain Hub API: Performance and Scalability Diagnostics Checklist 2012 Informatica Corporation. No part of this document may be reproduced or transmitted in any
q for Gods Whitepaper Series (Edition 7) Common Design Principles for kdb+ Gateways
Series (Edition 7) Common Design Principles for kdb+ Gateways May 2013 Author: Michael McClintock joined First Derivatives in 2009 and has worked as a consultant on a range of kdb+ applications for hedge
Enabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings
Solution Brief Enabling Database-as-a-Service (DBaaS) within Enterprises or Cloud Offerings Introduction Accelerating time to market, increasing IT agility to enable business strategies, and improving
27 th March 2015 Istanbul, Turkey. Performance Testing Best Practice
27 th March 2015 Istanbul, Turkey Performance Testing Best Practice Your Host.. Ian Molyneaux Leads the Intechnica performance team More years in IT than I care to remember Author of The Art of Application
Real World Enterprise SQL Server Replication Implementations. Presented by Kun Lee [email protected]
Real World Enterprise SQL Server Replication Implementations Presented by Kun Lee [email protected] About Me DBA Manager @ CoStar Group, Inc. MSSQLTip.com Author (http://www.mssqltips.com/sqlserverauthor/15/kunlee/)
BookKeeper overview. Table of contents
by Table of contents 1 BookKeeper overview...2 1.1 BookKeeper introduction... 2 1.2 In slightly more detail...2 1.3 Bookkeeper elements and concepts...3 1.4 Bookkeeper initial design... 3 1.5 Bookkeeper
Software Performance, Scalability, and Availability Specifications V 3.0
Software Performance, Scalability, and Availability Specifications V 3.0 Release Date: November 17, 2015 Availability: Daric guarantees a Monthly Uptime Percentage (defined below) of at least 99.95%, in
Spectrum Technology Platform. Version 9.0. Administration Guide
Spectrum Technology Platform Version 9.0 Administration Guide Contents Chapter 1: Getting Started...7 Starting and Stopping the Server...8 Installing the Client Tools...8 Starting the Client Tools...9
EDG Project: Database Management Services
EDG Project: Database Management Services Leanne Guy for the EDG Data Management Work Package EDG::WP2 [email protected] http://cern.ch/leanne 17 April 2002 DAI Workshop Presentation 1 Information in
MongoDB Developer and Administrator Certification Course Agenda
MongoDB Developer and Administrator Certification Course Agenda Lesson 1: NoSQL Database Introduction What is NoSQL? Why NoSQL? Difference Between RDBMS and NoSQL Databases Benefits of NoSQL Types of NoSQL
Performance Analysis and Capacity Planning Whitepaper
Performance Analysis and Capacity Planning Whitepaper Contents P E R F O R M A N C E A N A L Y S I S & Executive Summary... 3 Overview... 3 Product Architecture... 4 Test Environment... 6 Performance Test
THE SEMANTIC WEB AND IT`S APPLICATIONS
15-16 September 2011, BULGARIA 1 Proceedings of the International Conference on Information Technologies (InfoTech-2011) 15-16 September 2011, Bulgaria THE SEMANTIC WEB AND IT`S APPLICATIONS Dimitar Vuldzhev
Tips and Tricks for Using Oracle TimesTen In-Memory Database in the Application Tier
Tips and Tricks for Using Oracle TimesTen In-Memory Database in the Application Tier Simon Law TimesTen Product Manager, Oracle Meet The Experts: Andy Yao TimesTen Product Manager, Oracle Gagan Singh Senior
The deployment of OHMS TM. in private cloud
Healthcare activities from anywhere anytime The deployment of OHMS TM in private cloud 1.0 Overview:.OHMS TM is software as a service (SaaS) platform that enables the multiple users to login from anywhere
SQL diagnostic manager Management Pack for Microsoft System Center. Overview
Overview What is so cool about the SQL diagnostic manager Management Pack? The SQL diagnostic manager (SQLdm) Management Pack integrates key monitors and alerts used by SQL Server DBAs with Microsoft's
Understanding Evolution's Architecture A Technical Overview
Understanding Evolution's Architecture A Technical Overview Contents Introduction Understanding Evolution's Design Evolution Architecture Evolution Server Transports Evolution Benefits How Does Evolution
User and Programmer Guide for the FI- STAR Monitoring Service SE
User and Programmer Guide for the FI- STAR Monitoring Service SE FI-STAR Beta Release Copyright 2014 - Yahya Al-Hazmi, Technische Universität Berlin This document gives a short guide on how to use the
This section contains information intended to help plan for SocialMiner installation and deployment.
This section contains information intended to help plan for SocialMiner installation and deployment. Advanced UI Options, page 1 Deployment Models, page 1 Hardware and Software Specifications, page 2 Ports,
Monitoring Replication
Monitoring Replication Article 1130112-02 Contents Summary... 3 Monitor Replicator Page... 3 Summary... 3 Status... 3 System Health... 4 Replicator Configuration... 5 Replicator Health... 6 Local Package
VMware vrealize Automation
VMware vrealize Automation Reference Architecture Version 6.0 or Later T E C H N I C A L W H I T E P A P E R J U N E 2 0 1 5 V E R S I O N 1. 5 Table of Contents Overview... 4 What s New... 4 Initial Deployment
WebLogic Server 11g Administration Handbook
ORACLE: Oracle Press Oracle WebLogic Server 11g Administration Handbook Sam R. Alapati Mc Graw Hill New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore
Near Real Time Indexing Kafka Message to Apache Blur using Spark Streaming. by Dibyendu Bhattacharya
Near Real Time Indexing Kafka Message to Apache Blur using Spark Streaming by Dibyendu Bhattacharya Pearson : What We Do? We are building a scalable, reliable cloud-based learning platform providing services
Apache HBase. Crazy dances on the elephant back
Apache HBase Crazy dances on the elephant back Roman Nikitchenko, 16.10.2014 YARN 2 FIRST EVER DATA OS 10.000 nodes computer Recent technology changes are focused on higher scale. Better resource usage
vcloud Air Platform Programmer's Guide
vcloud Air Platform Programmer's Guide vcloud Air OnDemand 5.7 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition.
The last 18 months. AutoScale. IaaS. BizTalk Services Hyper-V Disaster Recovery Support. Multi-Factor Auth. Hyper-V Recovery.
Offline Operations Traffic ManagerLarge Memory SKU SQL, SharePoint, BizTalk Images HDInsight Windows Phone Support Per Minute Billing HTML 5/CORS Android Support Custom Mobile API AutoScale BizTalk Services
HADOOP MOCK TEST HADOOP MOCK TEST I
http://www.tutorialspoint.com HADOOP MOCK TEST Copyright tutorialspoint.com This section presents you various set of Mock Tests related to Hadoop Framework. You can download these sample mock tests at
Server based signature service. Overview
1(11) Server based signature service Overview Based on federated identity Swedish e-identification infrastructure 2(11) Table of contents 1 INTRODUCTION... 3 2 FUNCTIONAL... 4 3 SIGN SUPPORT SERVICE...
Big data and urban mobility
Big data and urban mobility Antònia Tugores,PereColet Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC(UIB-CSIC) Abstract. Data sources have been evolving the last decades and nowadays
Using Microsoft Operations Manager To Monitor And Maintain Your Farm. Michael Noel. [email protected]
Using Microsoft Operations Manager To Monitor And Maintain Your Farm Michael Noel [email protected] About the Presenter and Convergent Computing Author of SAMS Publishing titles SharePoint 2007 Unleashed,
Reliable DNS and DHCP for Microsoft Active Directory Protecting and Extending Active Directory Infrastructure with Infoblox Appliances
Reliable DNS and DHCP for Protecting and Extending Active Directory Infrastructure with Infoblox Appliances Reliable DNS and DHCP for (AD) is the distributed directory service and the information hub of
Performance Tuning and Optimizing SQL Databases 2016
Performance Tuning and Optimizing SQL Databases 2016 http://www.homnick.com [email protected] +1.561.988.0567 Boca Raton, Fl USA About this course This four-day instructor-led course provides students
Cloud Customer Architecture for Web Application Hosting, Version 2.0
Cloud Customer Architecture for Web Application Hosting, Version 2.0 Executive Overview This paper describes vendor neutral best practices for hosting web applications using cloud computing. The architectural
Jive and High-Availability
Jive and High-Availability TOC 2 Contents Jive and High-Availability... 3 Supported High-Availability Jive Configurations...3 Designing a Single Data Center HA Configuration... 3 Designing a Multiple Data
VMware vrealize Automation
VMware vrealize Automation Reference Architecture Version 6.0 and Higher T E C H N I C A L W H I T E P A P E R Table of Contents Overview... 4 What s New... 4 Initial Deployment Recommendations... 4 General
Performance Testing. Checklist Packet. Everything you need to trigger thoughts, discussions and actions in the projects you are working on
Performance Testing Checklist Packet Everything you need to trigger thoughts, discussions and actions in the projects you are working on Performance Testing Checklist: People & Processes within Performance
Microsoft SharePoint Server 2010
Microsoft SharePoint Server 2010 Small Farm Performance Study Dell SharePoint Solutions Ravikanth Chaganti and Quocdat Nguyen November 2010 THIS WHITE PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY
Chapter 1 - Web Server Management and Cluster Topology
Objectives At the end of this chapter, participants will be able to understand: Web server management options provided by Network Deployment Clustered Application Servers Cluster creation and management
Workshop on Hadoop with Big Data
Workshop on Hadoop with Big Data Hadoop? Apache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware. Hadoop enables businesses to quickly
W I S E. SQL Server 2008/2008 R2 Advanced DBA Performance & WISE LTD.
SQL Server 2008/2008 R2 Advanced DBA Performance & Tuning COURSE CODE: COURSE TITLE: AUDIENCE: SQSDPT SQL Server 2008/2008 R2 Advanced DBA Performance & Tuning SQL Server DBAs, capacity planners and system
3 Techniques for Database Scalability with Hibernate. Geert Bevin - @gbevin - SpringOne 2009
3 Techniques for Database Scalability with Hibernate Geert Bevin - @gbevin - SpringOne 2009 Goals Learn when to use second level cache Learn when to detach your conversations Learn about alternatives to
Scaling Analysis Services in the Cloud
Our Sponsors Scaling Analysis Services in the Cloud by Gerhard Brückl [email protected] blog.gbrueckl.at About me Gerhard Brückl Working with Microsoft BI since 2006 Windows Azure / Cloud since 2013
Couchbase Server Under the Hood
Couchbase Server Under the Hood An Architectural Overview Couchbase Server is an open-source distributed NoSQL document-oriented database for interactive applications, uniquely suited for those needing
Common Server Setups For Your Web Application - Part II
Common Server Setups For Your Web Application - Part II Introduction When deciding which server architecture to use for your environment, there are many factors to consider, such as performance, scalability,
Web Application Hosting Cloud Architecture
Web Application Hosting Cloud Architecture Executive Overview This paper describes vendor neutral best practices for hosting web applications using cloud computing. The architectural elements described
Session 6 Patterns and best practices in SOA/REST
Session 6 Patterns and best practices in SOA/REST Sistemas Distribuidos Diego Sevilla Ruiz DITEC Facultad de Informática Murcia, 2012 Diego Sevilla Ruiz (DITEC Facultad de Informática) Session 6 Patterns
Cloud Elements ecommerce Hub Provisioning Guide API Version 2.0 BETA
Cloud Elements ecommerce Hub Provisioning Guide API Version 2.0 BETA Page 1 Introduction The ecommerce Hub provides a uniform API to allow applications to use various endpoints such as Shopify. The following
X4-2 Exadata announced (well actually around Jan 1) OEM/Grid control 12c R4 just released
General announcements In-Memory is available next month http://www.oracle.com/us/corporate/events/dbim/index.html X4-2 Exadata announced (well actually around Jan 1) OEM/Grid control 12c R4 just released
Cloud Computing. Up until now
Cloud Computing Lecture 20 Cloud Platform Comparison & Load Balancing 2010-2011 Up until now Introduction, Definition of Cloud Computing Pre-Cloud Large Scale Computing: Grid Computing Content Distribution
