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Introduction to MongoDB Enterprise Advanced

Introduction to MongoDB Enterprise

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Page 1: Introduction to MongoDB Enterprise

Introduction to MongoDB Enterprise Advanced

Page 2: Introduction to MongoDB Enterprise

Agenda

• MongoDB Point of View

• How We Can Help With MongoDB

Enterprise Advanced

• Customers running on

MongoDB Enterprise Advanced

Page 3: Introduction to MongoDB Enterprise

MongoDBPoint of View

Page 4: Introduction to MongoDB Enterprise

Relational

Expressive Query Language& Secondary Indexes

Strong Consistency

Enterprise Management& Integrations

Page 5: Introduction to MongoDB Enterprise

The World Has ChangedData Risk

Time Cost

Page 6: Introduction to MongoDB Enterprise

NoSQL

Scalability& Performance

Always On,Global Deployments

FlexibilityExpressive Query Language& Secondary Indexes

Strong Consistency

Enterprise Management& Integrations

Page 7: Introduction to MongoDB Enterprise

Nexus Architecture

Scalability& Performance

Always On,Global Deployments

FlexibilityExpressive Query Language& Secondary Indexes

Strong Consistency

Enterprise Management& Integrations

Page 8: Introduction to MongoDB Enterprise

How We Can Help With MongoDB Enterprise Advanced

Page 9: Introduction to MongoDB Enterprise

What’s in MongoDB Enterprise Advanced

Security Support LicenseTooling

Page 10: Introduction to MongoDB Enterprise

MongoDB Enterprise Advanced

• MongoDB Ops Manager or MongoDB Cloud Manager Premium

• MongoDB Compass

• MongoDB Connector for BI

• Encrypted Storage Engine

• LDAP / Kerberos Integration

• DDL & DML Auditing

• FIPS 140-2 Support

SecurityTooling

• 24 x 7 Support

• 1 hr SLA

• Emergency Patches

• Customer Success Program

• On-Demand Training

Support License

• Commercial License

Page 11: Introduction to MongoDB Enterprise

MongoDB Compass MongoDB Connector for BI

MongoDB Enterprise Server

MongoDB Enterprise Advanced24

x 7

Sup

port

Com

mercial License

(No A

GP

L Copyleft R

estrictions)

Platform Certifications

MongoDB Ops Manager

Monitoring & Alerting

Query Optimization

Backup & Recovery

Automation & Configuration

Schema Visualization

Data Exploration

Ad-Hoc Queries

Visualization

Analysis

Reporting

LDAP & Kerberos Auditing FIPS 140-2Encryption at Rest

REST APIEmergency Patches

Customer Success Program

On-Demand Online Training

Warranty

Limitation of Liability

Indemnification

Page 12: Introduction to MongoDB Enterprise

MongoDB Community Server MongoDB Enterprise Advanced

Automated Deploy, Configuration, Maintenance, Zero Downtime Upgrades Cloud Manager Premium or Ops Manager

Backup and Point-In-Time Recovery Cloud Manager Premium* or Ops Manager

Monitoring and Alerting Cloud Manager Premium or Ops Manager

Visual Query Profiler and Automated Index Rollouts Cloud Manager Premium or Ops Manager

Encrypted & In-Memory Storage Engines ✔

MongoDB Compass ✔

MongoDB Connector for BI ✔

Security: Role-Based Access Control, PKI Certificates, SSL, Field-Level Redaction ✔ ✔

Advanced Security: LDAP Authentication, Kerberos Authentication, x.509 Certificates, Auditing ✔

Platform Certification ✔

On-Demand Training ✔

Support SLA 1 hr

License Type AGPL Commercial

*Cloud Manager Premium includes monitoring, query optimization and automation. Backup is optional at $30/GB/year.

Page 13: Introduction to MongoDB Enterprise

MongoDB Ops Manager

• Dozens of charts tracking key performance indicators

• Custom alerts that trigger when key metrics are out of range

• RESTful API to integrate with your existing APM tools

• Visual displays of query and write latency

• Recommendations for new indexes to improve query performance

• One-click rollout of new indexes across your deployment; according to best practices and with no downtime

OptimizationMonitoring

• Deploy, resize, and upgrade your deployments with just a few clicks

• Reduce the operational overhead of running MongoDB; enable your ops team to be 10-20x more efficient

• RESTful API to integrate with your enterprise orchestration tools

Automation Backup

• Continuous backups to minimize your exposure to data loss

• Restore to precisely the moment you need with point-in-time recovery

Page 14: Introduction to MongoDB Enterprise

Integrations with APM Platforms

Easily incorporate MongoDB performance metrics

into your existing APM dashboards for global

oversight of your entire IT stack

Page 15: Introduction to MongoDB Enterprise

Ops Manager Enhancements

3.2 includes Ops Manager enhancements to

improve the productivity of your ops teams and

further simplify installation and management

Page 16: Introduction to MongoDB Enterprise

Visualize your data with MongoDB Compass

Understand your data. Perform ad hoc queries. No

shell and no knowledge of the MongoDB query

language required.

Page 17: Introduction to MongoDB Enterprise

Integration with leading BI Platforms

Easily explore your MongoDB data with SQL-based

BI tools such as Tableau, QlikView, Spotfire, and

more

Page 18: Introduction to MongoDB Enterprise

End-to-end encryption native to the database

New encrypted storage engine natively encrypts

database files on disk

Page 19: Introduction to MongoDB Enterprise

Security Feature MongoDB Community Server MongoDB Enterprise Advanced

Role-Based Access Controls ✔ ✔

PKI Certificates ✔ ✔

Field-Level Redaction ✔ ✔

SSL / TLS Encryption ✔ ✔

FIPS-Compliant SSL ✔

Encryption-At-Rest ✔

x.509 Support ✔

Kerberos Authentication ✔

LDAP Authentication ✔

Red Hat Identity Management Certification ✔

Auditing ✔

Proactive Systems Monitoring Cloud Manager or Ops Manager

Point-In-Time Backups Cloud Manager or Ops Manager

Page 20: Introduction to MongoDB Enterprise

Customers Running on MongoDB Enterprise Advanced

Page 21: Introduction to MongoDB Enterprise

50 of the Top 100

40 of the Top Financial Services Institutions

15 of the Top Retailers

15 of the Top Telcos

15 of the Top Technology Companies

15 of the Top Healthcare Companies

10 of the Top Electronics Companies

10 of the Top Media and Entertainment Companies

Fortune 500 & Global 500

Page 22: Introduction to MongoDB Enterprise
Page 23: Introduction to MongoDB Enterprise

MongoDB Use CasesSingle View Internet of Things Mobile Real-Time Analytics

Catalog Personalization Content Management

Page 24: Introduction to MongoDB Enterprise

E-Commerce PlatformMigrated from SQL Server to MongoDB, accelerating time-to-market by 50% and reducing cost by 35%

Problem Why MongoDB ResultsProblem Solution Results

Volusion provides an e-commerce platform for other vendors – could not scale and lost up to 15% revenues due to not meeting SLAs

Time to develop on SQL Server took 12 months+ for design and planning

Cost of licenses & services doubling each year

Replatformed shopping cart and content management on MongoDB to take advantage of flexible data model

Implemented sharding for horizontal scalability and replication for HA

Ops Manager for backup and point-in-time recovery

Reduced development time by 50%

Reduced cost by 35%

Zero downtime in 3 years

Page 25: Introduction to MongoDB Enterprise

Problem Why MongoDB ResultsProblem Solution Results

Rigid relational data model inhibits agility of application development

Inability to scale as new price comparison services were launched

Systems down for 30 minutes during failures or maintenance

Flexible data model allows company to quickly build, launch and evolve new applications

Scale-out across hybrid on-prem & cloud platform, with tunable consistency to optimize performance

Self-healing replica sets and multi-data center aware architecture for service availability

2x faster time to market after migrating from Microsoft SQL Server to MongoDB.

Enabled continuous delivery: now pushing new features every day

Greatly improved customers service by eliminating 30 minute service downtime events

UK’s Leading Price Comparison SiteOut-pacing Internet search giants with continuous delivery pipeline powered by microservices & Docker containers running MongoDB and Hadoop in the cloud

Page 26: Introduction to MongoDB Enterprise

Gaming Platform Becomes DBaaSConsolidated infrastructure on MongoDB, improved performance and created new profit center

Problem Why MongoDB ResultsProblem Solution Results

Using ever more SQL Server instances, one per new game, unable to leverage instances across multiple games, maintenance applied to each cluster individually

Failing to scale, having to drop metric data or outbound analytics opportunities at times of peak traffic

Unable to optimize and target developer and hardware resources

A single flexible database spanning all Square Enix titles

Horizontal scaling that ensures adequate capacity for all titles and rapidly adapts to changing gamer trends

Ops Manager for automation and fine grained monitoring

Online training for rapid ramping of staff

3-week queries now 2 mins – insights fed into game behavior in real time

30+ $48K new SQL Server instances per year reduced to 31 MongoDB servers total with 2 administrators for many years going forward

Cost center became profit center: created profitable DBaaS for third-party game developers

Page 27: Introduction to MongoDB Enterprise

Travel Booking2nd biggest airline in China delivers next generation travel search application with MongoDB

Problem Why MongoDB ResultsProblem Solution Results

Primitive flight search user interface and stale data provided poor user experience

Oracle based system could only support a dozen concurrent users, but new requirement needs 100x more QPS. Complex database schema slows innovation

70% of bookings rely on channel partners, which represents 30% lost revenue

Replatformed on MongoDB

Secondary indexes provide flexible search and fast development

Built-in replication provides high availability with lower cost of ownership

Ops Manager delivers massive operational efficiencies

24x7 support with guaranteed SLA

Compelling flight search features: multi-day, near-by airports, 60-day low price, etc.; inventory data and price data became near real time

Greatly improved user experience – millisecond response time, and tens of thousands of reads per second

Projected 20% direct user growth and stemmed revenue loss to channels