Building/Administering Large DB Clusters LinuxCon Europe 2012

Size: px
Start display at page:

Download "Building/Administering Large DB Clusters LinuxCon Europe 2012"

Transcription

1 Building/Administering Large DB Clusters LinuxCon Europe 2012 Who are Palomino? Bespoke Services: we work with and like you. Production Experienced: senior DBAs, admins, and engineers. 24x7: globally-distributed on-call staff. No-lock-in contracts. Professional Services (DevOps): Chef, Puppet, Ansible. Big Data Cluster Administration (OpsDev): MySQL, PostgreSQL, Cassandra, HBase, MongoDB, Couchbase.

2 Building/Administering Large DB Clusters LinuxCon Europe 2012 Who am I? Tim Ellis CTO/Principal Architect, Palomino Achievements: Palomino Big Data Strategy. Datawarehouse Cluster at Riot Games. Back-end Storage Architecture for Firefox Sync. Led DB teams at Digg for four years. Harassed the Reddit team at one of their parties. Ensured Successful Business for: Digg, Friendster, Riot Games, Mozilla, StumbleUpon.

3 Questions? Ask questions during presentation. No need to hold your questions until the end.

4 Building/Administering Large DB Clusters What is this Talk? Building a Large Database Cluster Practical Concerns The tools and choices Monitoring the Cluster How distributed DBs are different Getting the data and acting on it Rules of Thumb How to size your cluster Cluster architecture

5 Prerequisite: Build a Large Cluster Allocating the Hardware Getting Hardware your own company's: Can be politically-charged. Get a small batch first. Build small demonstration cluster. Get everyone on-board with the demo. Renting/Leasing Hardware the Cloud: Allocate hardware in EC2 or elsewhere. Usually easier, but possibly harder admin: Hardware failure more common. Hardware/network flakiness more common.

6 Prerequisite: Build a Large Cluster Building the Cluster Okay, I've got the hardware. What next?

7 Prerequisite: Build a Large Cluster Building the Cluster Configuring the Hardware. The old dilemma: Spend days to install/configure DB software? Subsequent management is painful. Use SSH in for loops? Rolling your own configuration management tools is a lot of work. Learn a configuration management tool? Obvious choice in Well-documented tools like Chef, Puppet, Ansible.

8 Configuration Management Tools My Experience Puppet: 6 years ago at Digg Manage/Deploy of hundreds of servers. Painful, but not as bad as hand-coding it all. Chef: 2 years ago at Drawn to Scale and Riot Manage/Deploy dozens of servers. Learning Ruby is a joy of its own. Ansible: 6 months ago at Palomino Manage/Deploy dozens of servers. First Palomino Cluster Tool subset built.

9 Prerequisite: Build a Large Cluster Configuration Management Options Pick your Configuration Management: Chef: Popular, use Ruby to code your infrastructure. Must learn Ruby. Puppet: Mature, use data structures to define your infrastructure. Less coding. Ansible: Tiny and modular, similar to Puppet, but with ordering for deployment. Pragmatic. Write/Get Recipes, Manifests, Playbooks? Writing is tedious. Can take >1 week. Get from internet? Often incomplete.

10 Prerequisite: Build a Large Cluster The Palomino Cluster Tool Palomino's tool for building large DB clusters: Chef, Puppet, Ansible modules. Open-source on Github. https://github.com/time-palominodb/palominoclustertool Google: Palomino Cluster Tool. Will build a large cluster for you in hours: HA Master(s)/Slaves hundreds as easy as two HBase fully-distributed mode Previously this would take days.

11 The Palomino Cluster Tool Building the Management Node Cluster Management Node: Will build the initial cluster. Will do subsequent cluster management. Tool for Initial Cluster Build: Palomino Cluster Tool (Ansible subset). Tools for Trending and Alerting: Graphite or OpenTSDB Nagios or Icinga

12 The Palomino Cluster Tool Building the Management Node Palomino Cluster Tool (Ansible subset). Why Ansible? No server to set up, simply uses SSH. Easy-to-understand non-code Playbooks. Use a language you know for modules. For demo purposes, obvious choice. Also production-worthy: Built by Michael DeHaan, long-time configuration management guru.

13 The Palomino Cluster Tool Building the Management Node Management node lives alongside your cluster. We are building our cluster in EC2. Thus management node in EC2. This tutorial assumes Ubuntu t1.micro is fine for management node. Install basic tools: apt-get install git (for Ansible/P.C.T.) apt-get install make python-jinja2 (for Ansible)

14 The Palomino Cluster Tool Configuring the Management Node Install Ansible: git clone git://github.com/ansible/ansible.git make install Install Palomino Cluster Tool: git clone git://github.com/timepalominodb/palominoclustertool.git I think we just finished the management node!

15 Picking a Distributed DBMS The Single Point of Failure? Typical Reasons Clusters Fail: Cascading failure (distributed fail) Network failure (distributed fail) Bad query executed (distributed fail) NameNode failing? (single point of failure) NameNode failure is not typical cause of cluster failure. Still, it's good to plan for it: All critical filesystems RAID 1+0 Redundant PSUs and NICs

16 Building an HBase Distributed Database Hardware and Architecture NameNode as mentioned: highly redundant. All other nodes: commodity hardware. RAID-0 or, preferred, JBOD. Spindles++: 8HDD in 1U good starting point. 7200RPM SATA: nice, 15KRPM: overkill. Many TB of storage. lots of this! 8-24GB RAM. Good/fast/multiple NICs. Hadoop/HBase want lots of disk & network.

17 Building a Distributed DBMS Network and Rack Considerations Network Within the Rack (Top-of-Rack Switch) Bandwidth for 30 machines going full-tilt. Multiple TOR switches for redundancy. Bridging on nodes. Network Between Racks Better than 2GB desireable. Network instability causes cluster instability. Enlist help of your in-house Networking Pros.

18 Monitoring a Distributed DB Cluster Picking a Trending Tool Tool must allow correlation of statistics. Pick any N stats, Put on a graph of log/linear scale, Pick colours of each stat. Tools that have these characteristics: OpenTSDB, Graphite, Others?

19 Monitoring a Distributed DB Cluster Trending Which stats should I capture? In doubt? Graph all of them. Every Hadoop statistic, Every HBase statistic, Every OS-level statistic. How? CollectD has JMX plugin. HBase/Hadoop have Ganglia stats export. Ganglia/gmond can store into Graphite.

20 Monitoring a Distributed DB Cluster Distributed Databases are Different Cross-node Correlation of Events: Node X instability? Could be Node Y's fault. ERRORs across all nodes? Correlation of WARNINGs and ERRORs? Log events correlate to graph anomolies? Size of error logs change at new rate? Outliers cause problems: Slow nodes causing cascading failures. Network instability causing cluster failure.

21 Troubleshooting Distributed DB Cluster By Scientific Method: Procedure Problems on the cluster? Formulate hypothesis from input: Graphs Logs Test hypothesis (tweak config) Check you're graphing everything and go to the start.

22 Distributed DB Cluster Trending Graphing your Logs You need to graph everything. Are you graphing your logs? grep ERROR cut [dt/hr part] uniq -c That's close, but what if it's hundreds of lines? Can use spreadsheet, but slows iteration cycle.

23 Distributed DB Cluster Trending Graphing your Logs Graphing logs (terminal output) easier with Palomino's terminal tool distribution, OSS on Github: # grep ERROR cut <date/hour part> distribution On a quick iteration cycle in the terminal, this is very useful. For presentation to the suits later you can import the data into another prettier tool.

24 Distributed DB Cluster Trending Graphing your Logs You want to characterise your logs. How many ERRORs per hour? How many WARNINGs per hour? How many log lines per hour? Look for patterns and ratios. Alert on deltas. System is imperfect, but it's a good start. Good start >> Unstarted perfection.

25 Distributed DB Cluster Alerting Tools The tools are already well-known: Whatever you already use probably works. Nagios/Icinga are very capable. Alerting rules are simpler than RDBMS: Daemon not responding on port? And more complex: Increased ERROR/WARNING frequency? Different CPU/Network characteristics?

26 Administering Hadoop Rules of Thumb Don't let cluster get >70% full. Disk throughput suffers. HBase compactions slower or impossible. Watch your network! Network saturated? Perhaps reduce-heavy. Disks saturated? Perhaps map-heavy. Logs have WARNINGs and even ERRORs. Act only if ERRORs translate to problems.

27 Administering any Distributed DBMS Rules of Thumb The Cloud is flaky: Dramatically variant performance (>30x!). Cascading failures more common. Cannot choose network topology. EC2 Brazil is currently most stable. EC2 US-East is currently most flaky.

28 Building/Administering Large DB Clusters Q&A Questions? Suggestions: Interesting stuff. Got a job for me? Well I got a job for you. Interested? Average flight speed of a laden sparrow? What's the meaning of Donnie Darko? Thank you! s to domain palominodb, username time. LinuxCon Europe 2012 in Barcelona. Enjoy the rest of the show!

Modern Web development and operations practices. Grig Gheorghiu VP Tech Operations Nasty Gal Inc. @griggheo

Modern Web development and operations practices. Grig Gheorghiu VP Tech Operations Nasty Gal Inc. @griggheo Modern Web development and operations practices Grig Gheorghiu VP Tech Operations Nasty Gal Inc. @griggheo Modern Web stack Aim for horizontal scalability! Ruby/Python front-end servers (Sinatra/Padrino,

More information

SCF/FEF Evaluation of Nagios and Zabbix Monitoring Systems. Ed Simmonds and Jason Harrington 7/20/2009

SCF/FEF Evaluation of Nagios and Zabbix Monitoring Systems. Ed Simmonds and Jason Harrington 7/20/2009 SCF/FEF Evaluation of Nagios and Zabbix Monitoring Systems Ed Simmonds and Jason Harrington 7/20/2009 Introduction For FEF, a monitoring system must be capable of monitoring thousands of servers and tens

More information

HADOOP AT NOKIA JOSH DEVINS, NOKIA HADOOP MEETUP, JANUARY 2011 BERLIN

HADOOP AT NOKIA JOSH DEVINS, NOKIA HADOOP MEETUP, JANUARY 2011 BERLIN HADOOP AT NOKIA JOSH DEVINS, NOKIA HADOOP MEETUP, JANUARY 2011 BERLIN Two parts: * technical setup * applications before starting Question: Hadoop experience levels from none to some to lots, and what

More information

Avoiding Pain Running MySQL in the Cloud

Avoiding Pain Running MySQL in the Cloud ! Avoiding Pain Running MySQL in the Cloud Neil Armitage whoami DBA Oracle/Mainframes/MySQL (25 Years) Deployment Engineer @ Continuent 1 or 2 Customer Deployments/Week On Premise or Cloud deployments

More information

Firebird meets NoSQL (Apache HBase) Case Study

Firebird meets NoSQL (Apache HBase) Case Study Firebird meets NoSQL (Apache HBase) Case Study Firebird Conference 2011 Luxembourg 25.11.2011 26.11.2011 Thomas Steinmaurer DI +43 7236 3343 896 thomas.steinmaurer@scch.at www.scch.at Michael Zwick DI

More information

On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform

On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform On- Prem MongoDB- as- a- Service Powered by the CumuLogic DBaaS Platform Page 1 of 16 Table of Contents Table of Contents... 2 Introduction... 3 NoSQL Databases... 3 CumuLogic NoSQL Database Service...

More information

HPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team

HPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team HPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team HPCC Monitoring and Reporting (Technical Preview) Boca Raton Documentation Team Copyright 2015 HPCC Systems. All rights reserved

More information

Hadoop Architecture. Part 1

Hadoop Architecture. Part 1 Hadoop Architecture Part 1 Node, Rack and Cluster: A node is simply a computer, typically non-enterprise, commodity hardware for nodes that contain data. Consider we have Node 1.Then we can add more nodes,

More information

Managing your Red Hat Enterprise Linux guests with RHN Satellite

Managing your Red Hat Enterprise Linux guests with RHN Satellite Managing your Red Hat Enterprise Linux guests with RHN Satellite Matthew Davis, Level 1 Production Support Manager, Red Hat Brad Hinson, Sr. Support Engineer Lead System z, Red Hat Mark Spencer, Sr. Solutions

More information

Ubuntu: helping drive business insight from Big Data

Ubuntu: helping drive business insight from Big Data WHITE PAPER Ubuntu: helping drive business insight from Big Data February 2012 Copyright Canonical 2012 www.canonical.com Executive introduction For years, web giants such as Facebook, Google and ebay

More information

Welcome to the unit of Hadoop Fundamentals on Hadoop architecture. I will begin with a terminology review and then cover the major components

Welcome to the unit of Hadoop Fundamentals on Hadoop architecture. I will begin with a terminology review and then cover the major components Welcome to the unit of Hadoop Fundamentals on Hadoop architecture. I will begin with a terminology review and then cover the major components of Hadoop. We will see what types of nodes can exist in a Hadoop

More information

Using New Relic to Monitor Your Servers

Using New Relic to Monitor Your Servers TUTORIAL Using New Relic to Monitor Your Servers by Alan Skorkin Contents Introduction 3 Why Do I Need a Service to Monitor Boxes at All? 4 It Works in Real Life 4 Installing the New Relic Server Monitoring

More information

Networking in the Hadoop Cluster

Networking in the Hadoop Cluster Hadoop and other distributed systems are increasingly the solution of choice for next generation data volumes. A high capacity, any to any, easily manageable networking layer is critical for peak Hadoop

More information

NOCTUA by init.at THE FLEXIBLE MONITORING WEB FRONTEND

NOCTUA by init.at THE FLEXIBLE MONITORING WEB FRONTEND NOCTUA by init.at THE FLEXIBLE MONITORING WEB FRONTEND init.at informationstechnologie GmbH - Tannhäuserplatz 2 - A-1150 Wien - www.init.at Dieses Dokument und alle Teile von ihm bilden ein geistiges Eigentum

More information

CSE-E5430 Scalable Cloud Computing Lecture 2

CSE-E5430 Scalable Cloud Computing Lecture 2 CSE-E5430 Scalable Cloud Computing Lecture 2 Keijo Heljanko Department of Computer Science School of Science Aalto University keijo.heljanko@aalto.fi 14.9-2015 1/36 Google MapReduce A scalable batch processing

More information

GigaSpaces Real-Time Analytics for Big Data

GigaSpaces Real-Time Analytics for Big Data GigaSpaces Real-Time Analytics for Big Data GigaSpaces makes it easy to build and deploy large-scale real-time analytics systems Rapidly increasing use of large-scale and location-aware social media and

More information

Hortonworks Data Platform Reference Architecture

Hortonworks Data Platform Reference Architecture Hortonworks Data Platform Reference Architecture A PSSC Labs Reference Architecture Guide December 2014 Introduction PSSC Labs continues to bring innovative compute server and cluster platforms to market.

More information

Apache Hadoop Cluster Configuration Guide

Apache Hadoop Cluster Configuration Guide Community Driven Apache Hadoop Apache Hadoop Cluster Configuration Guide April 2013 2013 Hortonworks Inc. http://www.hortonworks.com Introduction Sizing a Hadoop cluster is important, as the right resources

More information

Hadoop Hardware @Twitter: Size does matter. @joep and @eecraft Hadoop Summit 2013

Hadoop Hardware @Twitter: Size does matter. @joep and @eecraft Hadoop Summit 2013 Hadoop Hardware : Size does matter. @joep and @eecraft Hadoop Summit 2013 v2.3 About us Joep Rottinghuis Software Engineer @ Twitter Engineering Manager Hadoop/HBase team @ Twitter Follow me @joep Jay

More information

Using Cloud Services for Test Environments A case study of the use of Amazon EC2

Using Cloud Services for Test Environments A case study of the use of Amazon EC2 Using Cloud Services for Test Environments A case study of the use of Amazon EC2 Lee Hawkins (Quality Architect) Quest Software, Melbourne Copyright 2010 Quest Software We are gathered here today to talk

More information

Maintaining Non-Stop Services with Multi Layer Monitoring

Maintaining Non-Stop Services with Multi Layer Monitoring Maintaining Non-Stop Services with Multi Layer Monitoring Lahav Savir System Architect and CEO of Emind Systems lahavs@emindsys.com www.emindsys.com The approach Non-stop applications can t leave on their

More information

Building a Scalable News Feed Web Service in Clojure

Building a Scalable News Feed Web Service in Clojure Building a Scalable News Feed Web Service in Clojure This is a good time to be in software. The Internet has made communications between computers and people extremely affordable, even at scale. Cloud

More information

Facebook Storage Tiers

Facebook Storage Tiers Facebook Storage Tiers How the fleet is divided: Facebook runs three main storage tiers: Type III MySQL Database (user data) Type IV Hadoop (site activity analytics and logs, messages) Type V Haystack

More information

In Memory Accelerator for MongoDB

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

More information

Introduction to Big Data Training

Introduction to Big Data Training Introduction to Big Data Training The quickest way to be introduce with NOSQL/BIG DATA offerings Learn and experience Big Data Solutions including Hadoop HDFS, Map Reduce, NoSQL DBs: Document Based DB

More information

Dell Reference Configuration for Hortonworks Data Platform

Dell Reference Configuration for Hortonworks Data Platform Dell Reference Configuration for Hortonworks Data Platform A Quick Reference Configuration Guide Armando Acosta Hadoop Product Manager Dell Revolutionary Cloud and Big Data Group Kris Applegate Solution

More information

How Bigtop Leveraged Docker for Build Automation and One-Click Hadoop Provisioning

How Bigtop Leveraged Docker for Build Automation and One-Click Hadoop Provisioning How Bigtop Leveraged Docker for Build Automation and One-Click Hadoop Provisioning Evans Ye Apache Big Data 2015 Budapest Who am I Apache Bigtop PMC member Software Engineer at Trend Micro Develop Big

More information

A Total Cost of Ownership Comparison of MongoDB & Oracle

A Total Cost of Ownership Comparison of MongoDB & Oracle A MongoDB White Paper A Total Cost of Ownership Comparison of MongoDB & Oracle August 2015 Table of Contents Executive Summary Cost Categories TCO for Example Projects Upfront Costs Initial Developer Effort

More information

This guide specifies the required and supported system elements for the application.

This guide specifies the required and supported system elements for the application. System Requirements Contents System Requirements... 2 Supported Operating Systems and Databases...2 Features with Additional Software Requirements... 2 Hardware Requirements... 4 Database Prerequisites...

More information

CDH installation & Application Test Report

CDH installation & Application Test Report CDH installation & Application Test Report He Shouchun (SCUID: 00001008350, Email: she@scu.edu) Chapter 1. Prepare the virtual machine... 2 1.1 Download virtual machine software... 2 1.2 Plan the guest

More information

DevOps Course Content

DevOps Course Content DevOps Course Content INTRODUCTION TO DEVOPS What is DevOps? History of DevOps Dev and Ops DevOps definitions DevOps and Software Development Life Cycle DevOps main objectives Infrastructure As A Code

More information

Scaling Graphite Installations

Scaling Graphite Installations Scaling Graphite Installations Graphite basics Graphite is a web based Graphing program for time series data series plots. Written in Python Consists of multiple separate daemons Has it's own storage backend

More information

A survey of big data architectures for handling massive data

A survey of big data architectures for handling massive data CSIT 6910 Independent Project A survey of big data architectures for handling massive data Jordy Domingos - jordydomingos@gmail.com Supervisor : Dr David Rossiter Content Table 1 - Introduction a - Context

More information

Solution for private cloud computing

Solution for private cloud computing The CC1 system Solution for private cloud computing 1 Outline What is CC1? Features Technical details System requirements and installation How to get it? 2 What is CC1? The CC1 system is a complete solution

More information

Jeffrey D. Ullman slides. MapReduce for data intensive computing

Jeffrey D. Ullman slides. MapReduce for data intensive computing Jeffrey D. Ullman slides MapReduce for data intensive computing Single-node architecture CPU Machine Learning, Statistics Memory Classical Data Mining Disk Commodity Clusters Web data sets can be very

More information

Clusters in the Cloud

Clusters in the Cloud Clusters in the Cloud Dr. Paul Coddington, Deputy Director Dr. Shunde Zhang, Compu:ng Specialist eresearch SA October 2014 Use Cases Make the cloud easier to use for compute jobs Par:cularly for users

More information

Matchmaking in the Cloud: Amazon EC2 and Apache Hadoop at eharmony

Matchmaking in the Cloud: Amazon EC2 and Apache Hadoop at eharmony Matchmaking in the Cloud: Amazon EC2 and Apache Hadoop at eharmony Speaker logo centered below image Steve Kuo, Software Architect Joshua Tuberville, Software Architect Goal > Leverage EC2 and Hadoop to

More information

International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 ISSN 2278-7763

International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 ISSN 2278-7763 International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 A Discussion on Testing Hadoop Applications Sevuga Perumal Chidambaram ABSTRACT The purpose of analysing

More information

Resource Monitoring During Performance Testing. Experience Report by Johann du Plessis. Introduction. Planning for Monitoring

Resource Monitoring During Performance Testing. Experience Report by Johann du Plessis. Introduction. Planning for Monitoring Resource Monitoring During Performance Testing Experience Report by Johann du Plessis Introduction During a recent review of performance testing projects I completed over the past 8 years, one of the goals

More information

INTRODUCTION TO CASSANDRA

INTRODUCTION TO CASSANDRA INTRODUCTION TO CASSANDRA This ebook provides a high level overview of Cassandra and describes some of its key strengths and applications. WHAT IS CASSANDRA? Apache Cassandra is a high performance, open

More information

Hadoop IST 734 SS CHUNG

Hadoop IST 734 SS CHUNG Hadoop IST 734 SS CHUNG Introduction What is Big Data?? Bulk Amount Unstructured Lots of Applications which need to handle huge amount of data (in terms of 500+ TB per day) If a regular machine need to

More information

Monitoring and Alerting

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

More information

JAVA IN THE CLOUD PAAS PLATFORM IN COMPARISON

JAVA IN THE CLOUD PAAS PLATFORM IN COMPARISON JAVA IN THE CLOUD PAAS PLATFORM IN COMPARISON Eberhard Wolff Architecture and Technology Manager adesso AG, Germany 12.10. Agenda A Few Words About Cloud Java and IaaS PaaS Platform as a Service Google

More information

Cisco s Massively Scalable Data Center. Network Fabric for Warehouse Scale Computer

Cisco s Massively Scalable Data Center. Network Fabric for Warehouse Scale Computer Network Fabric for Warehouse Scale Computer Cisco Massively Scalable Data Center Reference Architecture The data center network is arguably the most challenging design problem for a network architect.

More information

Hadoop on OpenStack Cloud. Dmitry Mescheryakov Software Engineer, @MirantisIT

Hadoop on OpenStack Cloud. Dmitry Mescheryakov Software Engineer, @MirantisIT Hadoop on OpenStack Cloud Dmitry Mescheryakov Software Engineer, @MirantisIT Agenda OpenStack Sahara Demo Hadoop Performance on Cloud Conclusion OpenStack Open source cloud computing platform 17,209 commits

More information

TestOps: Continuous Integration when infrastructure is the product. Barry Jaspan Senior Architect, Acquia Inc.

TestOps: Continuous Integration when infrastructure is the product. Barry Jaspan Senior Architect, Acquia Inc. TestOps: Continuous Integration when infrastructure is the product Barry Jaspan Senior Architect, Acquia Inc. This talk is about the hard parts. Rainbows and ponies have left the building. Intro to Continuous

More information

NoSQL and Hadoop Technologies On Oracle Cloud

NoSQL and Hadoop Technologies On Oracle Cloud NoSQL and Hadoop Technologies On Oracle Cloud Vatika Sharma 1, Meenu Dave 2 1 M.Tech. Scholar, Department of CSE, Jagan Nath University, Jaipur, India 2 Assistant Professor, Department of CSE, Jagan Nath

More information

Big Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013

Big Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013 Big Data Use Case How Rackspace is using Private Cloud for Big Data Bryan Thompson May 8th, 2013 Our Big Data Problem Consolidate all monitoring data for reporting and analytical purposes. Every device

More information

At-Scale Data Centers & Demand for New Architectures

At-Scale Data Centers & Demand for New Architectures Allen Samuels At-Scale Data Centers & Demand for New Architectures Software Architect, Software and Systems Solutions August 17, 2015 1 Forward-Looking Statements During our meeting today we may make forward-looking

More information

Oracle s Big Data solutions. Roger Wullschleger.

Oracle s Big Data solutions. Roger Wullschleger. <Insert Picture Here> s Big Data solutions Roger Wullschleger DBTA Workshop on Big Data, Cloud Data Management and NoSQL 10. October 2012, Stade de Suisse, Berne 1 The following is intended to outline

More information

AMD SEAMICRO OPENSTACK BLUEPRINTS CLOUD- IN- A- BOX OCTOBER 2013

AMD SEAMICRO OPENSTACK BLUEPRINTS CLOUD- IN- A- BOX OCTOBER 2013 AMD SEAMICRO OPENSTACK BLUEPRINTS CLOUD- IN- A- BOX OCTOBER 2013 OpenStack What is OpenStack? OpenStack is a cloud operaeng system that controls large pools of compute, storage, and networking resources

More information

Migrating a running service to AWS

Migrating a running service to AWS Migrating a running service to AWS Nick Veenhof Ricardo Amaro DevOps Track https://events.drupal.org/barcelona2015/sessions/migrating-runningservice-mollom-aws-without-service-interruptions-and-reduce

More information

BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB

BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB BENCHMARKING CLOUD DATABASES CASE STUDY on HBASE, HADOOP and CASSANDRA USING YCSB Planet Size Data!? Gartner s 10 key IT trends for 2012 unstructured data will grow some 80% over the course of the next

More information

Optimizing Dell PowerEdge Configurations for Hadoop

Optimizing Dell PowerEdge Configurations for Hadoop Optimizing Dell PowerEdge Configurations for Hadoop Understanding how to get the most out of Hadoop running on Dell hardware A Dell technical white paper July 2013 Michael Pittaro Principal Architect,

More information

Deploying Cloudera CDH (Cloudera Distribution Including Apache Hadoop) with Emulex OneConnect OCe14000 Network Adapters

Deploying Cloudera CDH (Cloudera Distribution Including Apache Hadoop) with Emulex OneConnect OCe14000 Network Adapters Deploying Cloudera CDH (Cloudera Distribution Including Apache Hadoop) with Emulex OneConnect OCe14000 Network Adapters Table of Contents Introduction... Hardware requirements... Recommended Hadoop cluster

More information

Tue Apr 19 11:03:19 PDT 2005 by Andrew Gristina thanks to Luca Deri and the ntop team

Tue Apr 19 11:03:19 PDT 2005 by Andrew Gristina thanks to Luca Deri and the ntop team Tue Apr 19 11:03:19 PDT 2005 by Andrew Gristina thanks to Luca Deri and the ntop team This document specifically addresses a subset of interesting netflow export situations to an ntop netflow collector

More information

Deployment Guide. How to prepare your environment for an OnApp Cloud deployment.

Deployment Guide. How to prepare your environment for an OnApp Cloud deployment. Deployment Guide How to prepare your environment for an OnApp Cloud deployment. Document version 1.07 Document release date 28 th November 2011 document revisions 1 Contents 1. Overview... 3 2. Network

More information

Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture.

Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture. Big Data Hadoop Administration and Developer Course This course is designed to understand and implement the concepts of Big data and Hadoop. This will cover right from setting up Hadoop environment in

More information

Big Data Analytics - Accelerated. stream-horizon.com

Big Data Analytics - Accelerated. stream-horizon.com Big Data Analytics - Accelerated stream-horizon.com Legacy ETL platforms & conventional Data Integration approach Unable to meet latency & data throughput demands of Big Data integration challenges Based

More information

Using Vagrant for Magento development. Alexander Turiak, @HexBrain

Using Vagrant for Magento development. Alexander Turiak, @HexBrain Using Vagrant for Magento development Alexander Turiak, @HexBrain $ whoami - Magento developer since 2011 - (Tries to be) Active in Magento community - Co-founded HexBrain in 2013 Key points - What is

More information

insync Installation Guide

insync Installation Guide insync Installation Guide 5.2 Private Cloud Druva Software June 21, 13 Copyright 2007-2013 Druva Inc. All Rights Reserved. Table of Contents Deploying insync Private Cloud... 4 Installing insync Private

More information

Getting Hadoop, Hive and HBase up and running in less than 15 mins

Getting Hadoop, Hive and HBase up and running in less than 15 mins Getting Hadoop, Hive and HBase up and running in less than 15 mins ApacheCon NA 2013 Mark Grover @mark_grover, Cloudera Inc. www.github.com/markgrover/ apachecon-bigtop About me Contributor to Apache Bigtop

More information

Taking Drupal development to the Cloud. Karel Bemelmans

Taking Drupal development to the Cloud. Karel Bemelmans Taking Drupal development to the Cloud Karel Bemelmans About me Working with Internet based services since 1996 Working with Drupal since 2011 Currently the devops guy @ Nascom Case Study: Nascom Genk,

More information

Lustre Monitoring with OpenTSDB

Lustre Monitoring with OpenTSDB Lustre Monitoring with OpenTSDB 2015/9/22 DataDirect Networks Japan, Inc. Shuichi Ihara 2 Lustre Monitoring Background Lustre is a black box Users and Administrators want to know what s going on? Find

More information

Apache Hadoop 1.0 High Availability Solution on VMware vsphere TM

Apache Hadoop 1.0 High Availability Solution on VMware vsphere TM Apache Hadoop 1.0 High Availability Solution on VMware vsphere TM Reference Architecture TECHNICAL WHITE PAPER v 1.0 June 2012 Table of Contents Executive Summary... 3 Introduction... 3 Terminology...

More information

Cloud Storage. Parallels. Performance Benchmark Results. White Paper. www.parallels.com

Cloud Storage. Parallels. Performance Benchmark Results. White Paper. www.parallels.com Parallels Cloud Storage White Paper Performance Benchmark Results www.parallels.com Table of Contents Executive Summary... 3 Architecture Overview... 3 Key Features... 4 No Special Hardware Requirements...

More information

Flash Use Cases Traditional Infrastructure vs Hyperscale

Flash Use Cases Traditional Infrastructure vs Hyperscale Flash Use Cases Traditional Infrastructure vs Hyperscale Steve Knipple, CTO / VP Engineering Atmosera : Global Hybrid Managed Services Provider Agenda Speaker Perspective The Infrastructure Market Traditional

More information

Open Source Technologies on Microsoft Azure

Open Source Technologies on Microsoft Azure Open Source Technologies on Microsoft Azure A Survey @DChappellAssoc Copyright 2014 Chappell & Associates The Main Idea i Open source technologies are a fundamental part of Microsoft Azure The Big Questions

More information

Iron Chef: Bare Metal OpenStack

Iron Chef: Bare Metal OpenStack Rebecca Brenton Partner Alliances Manager Rob Hirschfeld Principal Cloud Architect Session Hashtags #chefconf #openstack About the Solution: http://dell.com/openstack http://dell.com/crowbak Iron Chef:

More information

Hadoop Data Warehouse Manual

Hadoop Data Warehouse Manual Ruben Vervaeke & Jonas Lesy 1 Hadoop Data Warehouse Manual To start off, we d like to advise you to read the thesis written about this project before applying any changes to the setup! The thesis can be

More information

Big Data Visualization. Apache Spark and Zeppelin

Big Data Visualization. Apache Spark and Zeppelin Big Data Visualization using Apache Spark and Zeppelin Prajod Vettiyattil, Software Architect, Wipro Agenda Big Data and Ecosystem tools Apache Spark Apache Zeppelin Data Visualization Combining Spark

More information

So What s the Big Deal?

So What s the Big Deal? So What s the Big Deal? Presentation Agenda Introduction What is Big Data? So What is the Big Deal? Big Data Technologies Identifying Big Data Opportunities Conducting a Big Data Proof of Concept Big Data

More information

PISTON CLOUDOS WITH OPENSTACK: TURN-KEY WEB-SCALE INFRASTRUCTURE SOFTWARE. Easy. CloudOS Compendium TECHNICAL WHITEPAPER

PISTON CLOUDOS WITH OPENSTACK: TURN-KEY WEB-SCALE INFRASTRUCTURE SOFTWARE. Easy. CloudOS Compendium TECHNICAL WHITEPAPER PISTON CLOUDOS WITH OPENSTACK: TURN-KEY WEB-SCALE INFRASTRUCTURE SOFTWARE applications use Piston CloudOS with OpenStack to automate their IT operations and bring new products to market faster. Piston

More information

A recipe using an Open Source monitoring tool for performance monitoring of a SaaS application.

A recipe using an Open Source monitoring tool for performance monitoring of a SaaS application. A recipe using an Open Source monitoring tool for performance monitoring of a SaaS application. Sergiy Fakas, TOA Technologies Nagios is a popular open-source tool for fault-monitoring. Because it does

More information

Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud

Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud Aditya Jadhav, Mahesh Kukreja E-mail: aditya.jadhav27@gmail.com & mr_mahesh_in@yahoo.co.in Abstract : In the information industry,

More information

JOB ORIENTED VMWARE TRAINING INSTITUTE IN CHENNAI

JOB ORIENTED VMWARE TRAINING INSTITUTE IN CHENNAI JOB ORIENTED VMWARE TRAINING INSTITUTE IN CHENNAI Job oriented VMWARE training is offered by Peridot Systems in Chennai. Training in our institute gives you strong foundation on cloud computing by incrementing

More information

What Does Big Data Mean and Who Will Win? Michael Stonebraker

What Does Big Data Mean and Who Will Win? Michael Stonebraker What Does Big Data Mean and Who Will Win? Michael Stonebraker The Meaning of Big Data - 3 V s Big Volume Business stuff with simple (SQL) analytics Business stuff with complex (non-sql) analytics Science

More information

Contact me or visit fifthsigma dot com if you need DBA consulting help for your large database cluster.

Contact me or visit fifthsigma dot com if you need DBA consulting help for your large database cluster. Tim Ellis Founder, CTO timelessness@gmail.com Summary Fifth Sigma (fifthsigma dot com) do distributed database clusters. We've been working with database clusters that serve billions of database operations

More information

Tools and strategies to monitor the ATLAS online computing farm

Tools and strategies to monitor the ATLAS online computing farm 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Tools and strategies to monitor the ATLAS online computing farm S. Ballestrero 1,2, F. Brasolin 3, G. L. Dârlea 1,4, I. Dumitru 4, D. A. Scannicchio 5, M. S. Twomey

More information

Eliminating Backup System Bottlenecks: Taking Your Existing Backup System to the Next Level. Jacob Farmer, CTO, Cambridge Computer

Eliminating Backup System Bottlenecks: Taking Your Existing Backup System to the Next Level. Jacob Farmer, CTO, Cambridge Computer : Taking Your Existing Backup System to the Next Level Jacob Farmer, CTO, Cambridge Computer SNIA Legal Notice The material contained in this tutorial is copyrighted by the SNIA. Member companies and individuals

More information

ROCANA WHITEPAPER How to Investigate an Infrastructure Performance Problem

ROCANA WHITEPAPER How to Investigate an Infrastructure Performance Problem ROCANA WHITEPAPER How to Investigate an Infrastructure Performance Problem INTRODUCTION As IT infrastructure has grown more complex, IT administrators and operators have struggled to retain control. Gone

More information

The Pain Curve Lack of Hadoop Automation Leads to Failure

The Pain Curve Lack of Hadoop Automation Leads to Failure The Pain Curve Lack of Hadoop Automation Leads to Failure Cloud Expo 2014, Santa Clara Greg Bruno, Ph.D., Co-Founder, VP of Engineering Greg.Bruno@StackIQ.com StackIQ booth #515 Data Center Server Types

More information

t] open source Hadoop Beginner's Guide ij$ data avalanche Garry Turkington Learn how to crunch big data to extract meaning from

t] open source Hadoop Beginner's Guide ij$ data avalanche Garry Turkington Learn how to crunch big data to extract meaning from Hadoop Beginner's Guide Learn how to crunch big data to extract meaning from data avalanche Garry Turkington [ PUBLISHING t] open source I I community experience distilled ftu\ ij$ BIRMINGHAMMUMBAI ')

More information

Adding scalability to legacy PHP web applications. Overview. Mario Valdez-Ramirez

Adding scalability to legacy PHP web applications. Overview. Mario Valdez-Ramirez Adding scalability to legacy PHP web applications Overview Mario Valdez-Ramirez The scalability problems of legacy applications Usually were not designed with scalability in mind. Usually have monolithic

More information

19.10.11. Amazon Elastic Beanstalk

19.10.11. Amazon Elastic Beanstalk 19.10.11 Amazon Elastic Beanstalk A Short History of AWS Amazon started as an ECommerce startup Original architecture was restructured to be more scalable and easier to maintain Competitive pressure for

More information

At-Scale Data Centers & Demand for New Architectures

At-Scale Data Centers & Demand for New Architectures Allen Samuels At-Scale Data Centers & Demand for New Architectures Software Architect, Software and Systems Solutions August 12, 2015 1 Forward-Looking Statements During our meeting today we may make forward-looking

More information

depl Documentation Release 0.0.1 depl contributors

depl Documentation Release 0.0.1 depl contributors depl Documentation Release 0.0.1 depl contributors December 19, 2013 Contents 1 Why depl and not ansible, puppet, chef, docker or vagrant? 3 2 Blog Posts talking about depl 5 3 Docs 7 3.1 Installation

More information

Application Development. A Paradigm Shift

Application Development. A Paradigm Shift Application Development for the Cloud: A Paradigm Shift Ramesh Rangachar Intelsat t 2012 by Intelsat. t Published by The Aerospace Corporation with permission. New 2007 Template - 1 Motivation for the

More information

Open source large scale distributed data management with Google s MapReduce and Bigtable

Open source large scale distributed data management with Google s MapReduce and Bigtable Open source large scale distributed data management with Google s MapReduce and Bigtable Ioannis Konstantinou Email: ikons@cslab.ece.ntua.gr Web: http://www.cslab.ntua.gr/~ikons Computing Systems Laboratory

More information

Comparison of the Frontier Distributed Database Caching System with NoSQL Databases

Comparison of the Frontier Distributed Database Caching System with NoSQL Databases Comparison of the Frontier Distributed Database Caching System with NoSQL Databases Dave Dykstra dwd@fnal.gov Fermilab is operated by the Fermi Research Alliance, LLC under contract No. DE-AC02-07CH11359

More information

NoSQL Performance Test In-Memory Performance Comparison of SequoiaDB, Cassandra, and MongoDB

NoSQL Performance Test In-Memory Performance Comparison of SequoiaDB, Cassandra, and MongoDB bankmark UG (haftungsbeschränkt) Bahnhofstraße 1 9432 Passau Germany www.bankmark.de info@bankmark.de T +49 851 25 49 49 F +49 851 25 49 499 NoSQL Performance Test In-Memory Performance Comparison of SequoiaDB,

More information

A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM

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, sborkar95@gmail.com Assistant Professor, Information

More information

Windows Server Performance Monitoring

Windows Server Performance Monitoring Spot server problems before they are noticed The system s really slow today! How often have you heard that? Finding the solution isn t so easy. The obvious questions to ask are why is it running slowly

More information

Embracing Cloud for Efficient Development

Embracing Cloud for Efficient Development Embracing Cloud for Efficient Development Heikki Nousiainen 13.12. Protecting the irreplaceable f-secure.com Introduction Heikki Nousiainen Lead Architect, Cloud CSO-Technology Office Heikki.Nousiainen@F-Secure.com

More information

SEAIP 2009 Presentation

SEAIP 2009 Presentation SEAIP 2009 Presentation By David Tan Chair of Yahoo! Hadoop SIG, 2008-2009,Singapore EXCO Member of SGF SIG Imperial College (UK), Institute of Fluid Science (Japan) & Chicago BOOTH GSB (USA) Alumni Email:

More information

Stateless Compute Cluster

Stateless Compute Cluster 5th Black Forest Grid Workshop 23rd April 2009 Stateless Compute Cluster Fast Deployment and Switching of Cluster Computing Nodes for easier Administration and better Fulfilment of Different Demands Dirk

More information

Hadoop and Map-Reduce. Swati Gore

Hadoop and Map-Reduce. Swati Gore Hadoop and Map-Reduce Swati Gore Contents Why Hadoop? Hadoop Overview Hadoop Architecture Working Description Fault Tolerance Limitations Why Map-Reduce not MPI Distributed sort Why Hadoop? Existing Data

More information

Hadoop: Embracing future hardware

Hadoop: Embracing future hardware Hadoop: Embracing future hardware Suresh Srinivas @suresh_m_s Page 1 About Me Architect & Founder at Hortonworks Long time Apache Hadoop committer and PMC member Designed and developed many key Hadoop

More information

New Relic & JMeter - Perfect Performance Testing

New Relic & JMeter - Perfect Performance Testing TUTORIAL New Relic & JMeter - Perfect Performance Testing by David Sale Contents Introduction 3 Demo Application 4 Hooking Into New Relic 4 What Is JMeter? 6 Installation and Usage 6 Analysis In New Relic

More information