Enterprise Trends inMongoDB as a Service

Chris BiowPrincipal Technologist & Tech DirectorMongoDB

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• Now

• Easy

• Cheap for dev

• Scalable, seamlessfor prod

Developer Challenge:“I want my MongoDB...”

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MongoDB Background

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Agile

The Best Database for Modern Apps

Scalable

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MongoDB

Document Database

Open-Source

General Purpose

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MongoDB Business Value

Enabling New Apps Better Customer Experience

Lower TCOFaster Time to Market

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Facebook

Leading NoSQL Database

LinkedInGoogle

Twitter

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Scalability

Auto-Sharding

• Increase capacity as you go

• Commodity and cloud architectures

• Improved operational simplicity and cost visibility

• Into petabytes, millions ops/sec, thousands of nodes

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High Availability

• Automated replication and failover

• Multi-data center support

• Improved operational simplicity (e.g., HW swaps)

• Data durability and consistency

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MongoDB Architecture

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MongoDB and Enterprise IT Stack

EDWHadoop

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RDBMS

CRM, ERP, Collaboration, Mobile, BI

OS & Virtualization, Compute, Storage, Network

RDBMS

Applications

Infrastructure

Data Management

Online Data Offline Data

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MongoDB and Enterprise IT Strategy

Legacy Strategic

Apps On-Premise SaaS, Mobile, Social

Database Oracle MongoDB

Offline Data Teradata Hadoop

Compute Scale-Up Server Commodity HW / Cloud

Storage SAN Local Storage / Cloud

Network Routers and Switches Software-Defined Networks

Enterprise Cloud Background

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• Hosting– Public, Private, and Hybrid

• Stack– Infrastructure | Platform | Software

…as a Service

• DB platform advantages – Adoption

– Agility

– Governance

– Efficiency

Revolution in IT provisioning

Wikimedia Commons

Public PrivateHybrid

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• Commercial cloudIaaS endless aisle– Amazon Web Services

– Google Compute Engine

– Rackspace

– Many more…

• OpenStack– Apache, Rackspace, NASA

– OpenStack Foundation

• Red Hat OpenShift – SaaS with embedded DB

Public Cloud

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Advanced Cloud Providers

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Ready Cloud Providers

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• Rewards– Adoption

– Agility

– Governance

– Efficiency

• Risks– Systematize the wrong solution

– Standardize the wrong hardware (especially storage)

– Unaffordable or inflexible: unlimited apathy

– Too cheap: tragedy of the commons

In the Enterprise Cloud:MongoDB as a Service

Doing it right

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• Need happy, jumping people!

• First app stakeholders– Business owner– Developers– Ops

• Next few apps– Same stakeholders

Customer First

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• Application

• Data Service / Data Layer– VA eCRUD– http://world.mongodb.com/node/44

• Multi-tenancy

• Cluster per app– Replica set only– Sharded / replica sets

Delivery Levels

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• Server Hardware

• Virtualization

• Security & Entitlements

• Storage

• Operating System

• Infrastructure Management

• Backup and Recovery

• Accounting and chargeback

Implementation Choices

Ceilometer Grizzly: openstack.org

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• Business case

– Cost matching

– First customers first

• Balance scalability, standardization, and flexibility

– Don’t undershoot your customers

– Don’t boil the ocean

– Customize where required

• Find your performance limit

– Storage first (mongoperf)

– Network

– CPU

• MongoDB engineering

– Schema

– Shard first

– Shard key

• 2+ data centers

– Consider hybrid for 3rd

• MongoDB, Inc

– Let us help!

• Monitoring

– mongoperf, mongostat, etc.

– MMS

Best Practices

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• Enterprise social network– Short messages

– Followers

– Feeds

– Geolocation

– https://github.com/darrenat10gen/socialite

• Active users: 60% of employees

• Indefinite retention

• Java application

• Existing collocated infrastructure (HP, RHEL, VMW)

Sample first app

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Platform Option Choice

Server HP DL360p, 2-CPU, 128GB RAM

Storage Local SAS or SSD

OS Red Hat Enterprise Linux

Virtualization VMWare vSphere

Cloud Platform OpenStack

DBaaS Automation CumuLogic

Monitoring, Backup, Automation

MongoDB Management Service (MMS)

Authentication X509 public key openclipart.org

Delivery Level Cluster per application

Metering Ceilometer

MongoDB as a Service Strategy

Conferences

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• Largest gathering ever of MongoDB experts

• Learn to build & manage modern apps

• 80+ sessions from Fundamentals to Advanced Opps Use cases from all industries

• Connect with developers, administrators & execs

• Ecosystem Partners: IBM, AWS, CumuLogic, Microsoft + more

• Meet the Experts – includes Founder Dwight Merriman

• Save $300 until Friday 5/23 with Early Bird rates

• Save another $300 with code Webinar300

• www.mongodbworld.com

MongoDB World – June 23-25, New York City

• Software platform to deliver fully managed MongoDB Database-as-a-Service

• Web service to setup, operate and scale clusters in the cloud

• Simple to deploy, easy to scale, reliable and cost effective for customer

• Integrated with MMS!

CumuLogic NoSQL ServiceMongoDB Database-as-a-ServiceChip Childers

http://www.cumulogic.com/cumulogic-software-portfolio/nosql-database-as-a-service/http://goo.gl/L2BAAs

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Using NoSQL and Enterprise Shared Services (ESS) to Achieve a More Efficient and Agile IT Environment

• Joe Paiva, Chief Technology Strategist

• Virtual Lifetime Electronic Record (VLER)

• Enterprise NoSQL data store– Efficiency, Security, Agility

– Mistakes and lessons from 20 years of SQL

– ESS eCRUD services

– Security with data consolidation and enterprise controls

Veterans Affairs

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Fast Paths to NoSQL Database as a Service• Chris Biow

• 3PM, 21 August: http://goo.gl/fbN35Y

• Quantify and achieve cost advantages

• Road map for fast path to DBaaS

• Incremental improvement

• Solve emergent problems

NoSQL Now, 19-21 Aug