SlideShare a Scribd company logo
1 of 49
Download to read offline
Benjamin Cefalo, Lead Product Manager, MongoDB
Modern Data Backup and Recovery from On Premises to the
Public Cloud
@bencefalo
Safe Harbor Statement
This presentation contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933,
as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Such forward-looking statements are
subject to a number of risks, uncertainties, assumptions and other factors that could cause actual results and the timing of
certain events to differ materially from future results expressed or implied by the forward-looking statements. Factors that
could cause or contribute to such differences include, but are not limited to, those identified our filings with the Securities
and Exchange Commission. You should not rely upon forward-looking statements as predictions of future events.
Furthermore, such forward-looking statements speak only as of the date of this presentation.
In particular, the development, release, and timing of any features or functionality described for MongoDB products
remains at MongoDB’s sole discretion. This information is merely intended to outline our general product direction and it
should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any
material, code, or functionality. Except as required by law, we undertake no obligation to update any forward-looking
statements to reflect events or circumstances after the date of such statements.
Quick level set — We’re not going to talk about
disaster recovery
Application
Driver
Primary
Secondary
Secondary
Replication
Application
Driver
Primary
Secondary
Secondary
Replication
But what happens when you have
data corruption in your primary or
someone accidentally does
something they shouldn’t have... ?
Application
Driver
Primary
Secondary
Secondary
Replication
Application
Driver
Primary
Secondary
Secondary
Replication
Data Recovery - That’s what we’re going to focus
on today
Private DBaaS: On-Prem Public DBaaS: Fully Managed
Built on the Same Code Base, Same API, Same Management UI
MongoDB Offerings
Hybrid DBaaS
The Future of Backup for
Self Managing or On-
Premises
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
OM Group
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
OM Group
BackupLoadBalancer
App Server for
Backup
App Server for
Backup
App Server for
Backup
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
OM Group
BackupLoadBalancer
App Server for
Backup
App Server for
Backup
App Server for
Backup
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
...
...
Blockstore06
Blockstore04
Blockstore02
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
OM Group
BackupLoadBalancer
App Server for
Backup
App Server for
Backup
App Server for
Backup
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Blockstore01
Blockstore03
Blockstore05
...
...
...
...
Oplog04
Oplog02
Blockstore06
Blockstore04
Blockstore02
Oplog06
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
OM Group
BackupLoadBalancer
App Server for
Backup
App Server for
Backup
App Server for
Backup
Oplog01
Oplog03
Oplog05
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Blockstore01
Blockstore03
Blockstore05
Backup Strategy
● Reduce the footprint and architectural complexities needed for backup
● Reduce cost
● Improve performance
WiredTiger Checkpoints
What is it?
● Enhanced WiredTiger to take checkpoints of itself
● Checkpoints are then moved to long term storage
● HeadDB’s are completely eliminated — no more initial syncs!
○ Reduced storage requirements
○ Reduces architectural complexities
○ Reduces infrastructure required
● Consolidated agents, from three agents to one
...
...
...
...
Oplog04
Oplog02
Blockstore06
Blockstore04
Blockstore02
Oplog06
On-Premises Backup Architecture Today
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
Backup Agent
Monitoring Agent
OM Group
BackupLoadBalancer
App Server for
Backup
App Server for
Backup
App Server for
Backup
Oplog01
Oplog03
Oplog05
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Backup
Daemon
HeadDB
Blockstore01
Blockstore03
Blockstore05
Oplog02
Blockstore
New Backup Architecture
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
OM Group
BackupLoadBalancer
App
Server/Backup
Daemon
App
Server/Backup
Daemon
Oplog01
S3 Snapshot Store
Backup Node Selection Order
1. Hidden Secondaries
2. A secondary we have already taken a snapshot from
3. Secondary closet to the time of the time of the snapshot
4. Any available secondary
5. Primary
Phase 1 Details
• Backup agent required to exist on every node
• OM 4.2 required for backing up 4.2
• Backwards compatible for 4.0 and below
• Daemons are used for background tasks
• Replica sets only, sharded clusters coming later
• Advanced features coming later
S3 Oplog
Blockstore
New Backup Architecture — Future
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
OM Group
BackupLoadBalancer
App Server for
Backup
App Server for
Backup
Oplog01
S3 Snapshot Store
Future Improvements
● Agents read/write directly to OpLog and snapshots store
S3 Oplog
New Backup Architecture — Future
Ops Manager
OM01
OM02
OM03
OM04
OM05
OM06
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
MongoDB Agent
OM Group
S3 Snapshot Store
Future Improvements
● Agents read/write directly to OpLog and snapshots store
● Leave a checkpoint behind
What this means for you...
● Less people, time, and energy you have to spend to deliver a best-in-class data
recovery solution for your on-premises and self-managed MongoDB
deployments
Atlas
Private DBaaS: On-Prem Public DBaaS: Fully Managed
Built on the Same Code Base, Same API, Same Management UI
Atlas: Same Features as Ops Manager & Cloud Manager
Hybrid DBaaS
The Latest MongoDB Features
• MongoDB Atlas comes out-of-the-box with
MongoDB 3.4, 3.6, 4.0
• Transactions (4.0)
• Change Streams (3.6)
• JSON Schema (3.6)
• Expressive nested array updates (3.6)
• Expressive joins: $lookup (3.6)
• Graph queries (3.4)
• Facets & expressive aggregations (3.4)
• Minor updates and major upgrades without
downtime
● Data Explorer
○ Inspect schema & index utilization
● Real-Time Performance Panel
○ Live telemetry: in-flight operations & resource
consumption
● Performance Advisor
○ Always-on index recommendations
Multi-AZ Disaster Recovery by Default
AZ IIAZ I AZ III
...with Optional Multi-Region Fault Tolerance
AZ IIAZ I AZ III
Preferred Region
AZ I AZ II AZ I AZ II
Failover Region Failover Region
Atlas Backups: Data Recovery
Roll back the clock when you run
into issues triggered by user or
application errors that are
replicated from the primary to
the rest of your cluster.
Point-in-Time Data Recovery
• Lets you select a restore time based on your PIT window
• Restores the closest snapshot and rolls ahead
• Reduces the possibility of data loss
What About Small Disasters?
• The application is working fine
• But there is data missing or has
been altered
• No time to do a full restore
Queryable Backups
• Ability to query your snapshots and
restore data at the document level in
minutes.
• Reduces the operational overhead
associated with:
• Identifying whether data of interest has
been altered
• Pinpointing the best point in time to
restore a database
db = source.locations
db2 = destination.locations
zips = db.zipcodes
zips2 = db2.zipcodes
def restore():
print "Finding Missing Data"
query = {'state': ‘NY'}
try:
cursor = zips.find(query)
except Exception as e:
print "Unexpected error:", type(e), e
for doc in cursor:
zips2.insert(doc)
Sample Queryable Script
Demo
Continuous Backup Regions
Cloud Provider Snapshots (CPS)
• Utilizes each providers native snapshot capabilities
• Granular backup region selection
• Satisfy data sovereignty requirements
• Supports replica sets and sharded clusters
• Pricing is based on snapshot size, not data size
• Less expensive, starting at $0.08 per GB of snapshot
size (varies per provider and region)
• Now available on all cloud providers!
• AWS and GCP snapshots are incremental
Incremental snapshots for Atlas
customers deploying on AWS
10 GB 15 GB (5 new) 20 GB (5 new)
Cloud Provider Snapshots (CPS) Updates — Continued
• Bring your own keys
• AWS KMS
• Azure Key Vault
• GCP KMS
• Backup Policies
• On-demand snapshots (quicksave)
• Takes a snapshot immediately if there’s not already one in progress
• API for pipeline integrations
• M2/M5 Backups (Coming Soon!)
Continuous Backup Regions
Snapshot Backup Regions
Cloud Provider Snapshots
Demo
Whats Next?
Cloud Provider Snapshots - Future
● Point in Time Restores with customizable window
● Build a new cluster from a backup
● Queryable Backup with Selective restore
Pick the fully managed backup solution that’s right for you
Within Atlas is a modern data recovery platform that enables you to choose how you want to backup your
data, depending on your requirements.
Continuous
● Point-in-time restore
○ All but eliminate the possibility of data
loss
● Queryable snapshots
○ Rapidly restore granular data
Cloud Provider Snapshots
● Localized backup
○ Satisfy data sovereignty requirements
● Bring your own keys
● Take snapshots on-demand
● The cost effective option
MongoDB World 2019: Modern Data Backup and Recovery from On-premises to the Public Cloud

More Related Content

Similar to MongoDB World 2019: Modern Data Backup and Recovery from On-premises to the Public Cloud

Effectively Deploying MongoDB on AEM
Effectively Deploying MongoDB on AEMEffectively Deploying MongoDB on AEM
Effectively Deploying MongoDB on AEMNorberto Leite
 
Agentless System Crawler - InterConnect 2016
Agentless System Crawler - InterConnect 2016Agentless System Crawler - InterConnect 2016
Agentless System Crawler - InterConnect 2016Canturk Isci
 
Pandora FMS: MongoDB plugin
Pandora FMS: MongoDB pluginPandora FMS: MongoDB plugin
Pandora FMS: MongoDB pluginPandora FMS
 
MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...
MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...
MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...MongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
 
Agile ALM with Traceability: Release of codeBeamer 5.5
Agile ALM with Traceability: Release of codeBeamer 5.5 Agile ALM with Traceability: Release of codeBeamer 5.5
Agile ALM with Traceability: Release of codeBeamer 5.5 Intland Software GmbH
 
Running MongoDB Enterprise on Kubernetes
Running MongoDB Enterprise on KubernetesRunning MongoDB Enterprise on Kubernetes
Running MongoDB Enterprise on KubernetesAriel Jatib
 
Preparing for Neo - Singapore OutSystems User Group October 2022 Meetup
Preparing for Neo - Singapore OutSystems User Group October 2022 MeetupPreparing for Neo - Singapore OutSystems User Group October 2022 Meetup
Preparing for Neo - Singapore OutSystems User Group October 2022 MeetupYashrajNayak4
 
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
 
Beginner's Guide to High Availability for Postgres
Beginner's Guide to High Availability for Postgres Beginner's Guide to High Availability for Postgres
Beginner's Guide to High Availability for Postgres EDB
 
Pivotal Cloud Foundry 2.4: A First Look
Pivotal Cloud Foundry 2.4: A First LookPivotal Cloud Foundry 2.4: A First Look
Pivotal Cloud Foundry 2.4: A First LookVMware Tanzu
 
A Deep Dive into the Liberty Buildpack on IBM BlueMix
A Deep Dive into the Liberty Buildpack on IBM BlueMix A Deep Dive into the Liberty Buildpack on IBM BlueMix
A Deep Dive into the Liberty Buildpack on IBM BlueMix Rohit Kelapure
 
MongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 MinutesMongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 MinutesMongoDB
 
Operational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU SeminarOperational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU SeminarCanturk Isci
 
Taking the Next Hot Mobile Game Live with Docker and IBM SoftLayer
Taking the Next Hot Mobile Game Live with Docker and IBM SoftLayerTaking the Next Hot Mobile Game Live with Docker and IBM SoftLayer
Taking the Next Hot Mobile Game Live with Docker and IBM SoftLayerDaniel Krook
 
Java Development on Bluemix
Java Development on BluemixJava Development on Bluemix
Java Development on BluemixRam Vennam
 
VMworld 2013: VMware Mirage 201
VMworld 2013: VMware Mirage 201VMworld 2013: VMware Mirage 201
VMworld 2013: VMware Mirage 201VMworld
 
Externalized Distributed Configuration Management with Spring Cloud Config-Se...
Externalized Distributed Configuration Management with Spring Cloud Config-Se...Externalized Distributed Configuration Management with Spring Cloud Config-Se...
Externalized Distributed Configuration Management with Spring Cloud Config-Se...Nikhil Hiremath
 
Webinar: Backups + Disaster Recovery
Webinar: Backups + Disaster RecoveryWebinar: Backups + Disaster Recovery
Webinar: Backups + Disaster RecoveryMongoDB
 

Similar to MongoDB World 2019: Modern Data Backup and Recovery from On-premises to the Public Cloud (20)

Effectively Deploying MongoDB on AEM
Effectively Deploying MongoDB on AEMEffectively Deploying MongoDB on AEM
Effectively Deploying MongoDB on AEM
 
Agentless System Crawler - InterConnect 2016
Agentless System Crawler - InterConnect 2016Agentless System Crawler - InterConnect 2016
Agentless System Crawler - InterConnect 2016
 
Pandora FMS: MongoDB plugin
Pandora FMS: MongoDB pluginPandora FMS: MongoDB plugin
Pandora FMS: MongoDB plugin
 
MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...
MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...
MongoDB World 2018: Solving Your Backup Needs Using MongoDB Ops Manager, Clou...
 
vinay-mittal-new
vinay-mittal-newvinay-mittal-new
vinay-mittal-new
 
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
MongoDB .local San Francisco 2020: MongoDB Atlas Jumpstart
 
Agile ALM with Traceability: Release of codeBeamer 5.5
Agile ALM with Traceability: Release of codeBeamer 5.5 Agile ALM with Traceability: Release of codeBeamer 5.5
Agile ALM with Traceability: Release of codeBeamer 5.5
 
Running MongoDB Enterprise on Kubernetes
Running MongoDB Enterprise on KubernetesRunning MongoDB Enterprise on Kubernetes
Running MongoDB Enterprise on Kubernetes
 
Preparing for Neo - Singapore OutSystems User Group October 2022 Meetup
Preparing for Neo - Singapore OutSystems User Group October 2022 MeetupPreparing for Neo - Singapore OutSystems User Group October 2022 Meetup
Preparing for Neo - Singapore OutSystems User Group October 2022 Meetup
 
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
 
Beginner's Guide to High Availability for Postgres
Beginner's Guide to High Availability for Postgres Beginner's Guide to High Availability for Postgres
Beginner's Guide to High Availability for Postgres
 
Pivotal Cloud Foundry 2.4: A First Look
Pivotal Cloud Foundry 2.4: A First LookPivotal Cloud Foundry 2.4: A First Look
Pivotal Cloud Foundry 2.4: A First Look
 
A Deep Dive into the Liberty Buildpack on IBM BlueMix
A Deep Dive into the Liberty Buildpack on IBM BlueMix A Deep Dive into the Liberty Buildpack on IBM BlueMix
A Deep Dive into the Liberty Buildpack on IBM BlueMix
 
MongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 MinutesMongoDB Server Provisioning - From 2 Months to 2 Minutes
MongoDB Server Provisioning - From 2 Months to 2 Minutes
 
Operational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU SeminarOperational Visibiliy and Analytics - BU Seminar
Operational Visibiliy and Analytics - BU Seminar
 
Taking the Next Hot Mobile Game Live with Docker and IBM SoftLayer
Taking the Next Hot Mobile Game Live with Docker and IBM SoftLayerTaking the Next Hot Mobile Game Live with Docker and IBM SoftLayer
Taking the Next Hot Mobile Game Live with Docker and IBM SoftLayer
 
Java Development on Bluemix
Java Development on BluemixJava Development on Bluemix
Java Development on Bluemix
 
VMworld 2013: VMware Mirage 201
VMworld 2013: VMware Mirage 201VMworld 2013: VMware Mirage 201
VMworld 2013: VMware Mirage 201
 
Externalized Distributed Configuration Management with Spring Cloud Config-Se...
Externalized Distributed Configuration Management with Spring Cloud Config-Se...Externalized Distributed Configuration Management with Spring Cloud Config-Se...
Externalized Distributed Configuration Management with Spring Cloud Config-Se...
 
Webinar: Backups + Disaster Recovery
Webinar: Backups + Disaster RecoveryWebinar: Backups + Disaster Recovery
Webinar: Backups + Disaster Recovery
 

More from MongoDB

MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
 
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump StartMongoDB
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
 
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
 
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDBMongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDBMongoDB
 
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...MongoDB
 

More from MongoDB (20)

MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...
 
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDB
 
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...
 
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
 
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 MongoDB SoCal 2020: MongoDB Atlas Jump Start MongoDB SoCal 2020: MongoDB Atlas Jump Start
MongoDB SoCal 2020: MongoDB Atlas Jump Start
 
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
 
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2
 
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...
 
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!
 
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your Mindset
 
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...
 
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++
 
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...
 
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep Dive
 
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & Golang
 
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...
 
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...
 
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDBMongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
MongoDB .local Paris 2020: Les bonnes pratiques pour sécuriser MongoDB
 
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
 

Recently uploaded

Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 

Recently uploaded (20)

Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 

MongoDB World 2019: Modern Data Backup and Recovery from On-premises to the Public Cloud

  • 1. Benjamin Cefalo, Lead Product Manager, MongoDB Modern Data Backup and Recovery from On Premises to the Public Cloud @bencefalo
  • 2. Safe Harbor Statement This presentation contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Such forward-looking statements are subject to a number of risks, uncertainties, assumptions and other factors that could cause actual results and the timing of certain events to differ materially from future results expressed or implied by the forward-looking statements. Factors that could cause or contribute to such differences include, but are not limited to, those identified our filings with the Securities and Exchange Commission. You should not rely upon forward-looking statements as predictions of future events. Furthermore, such forward-looking statements speak only as of the date of this presentation. In particular, the development, release, and timing of any features or functionality described for MongoDB products remains at MongoDB’s sole discretion. This information is merely intended to outline our general product direction and it should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any material, code, or functionality. Except as required by law, we undertake no obligation to update any forward-looking statements to reflect events or circumstances after the date of such statements.
  • 3. Quick level set — We’re not going to talk about disaster recovery
  • 5. Application Driver Primary Secondary Secondary Replication But what happens when you have data corruption in your primary or someone accidentally does something they shouldn’t have... ?
  • 8. Data Recovery - That’s what we’re going to focus on today
  • 9. Private DBaaS: On-Prem Public DBaaS: Fully Managed Built on the Same Code Base, Same API, Same Management UI MongoDB Offerings Hybrid DBaaS
  • 10. The Future of Backup for Self Managing or On- Premises
  • 11. On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06
  • 12. On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent OM Group
  • 13. On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent OM Group BackupLoadBalancer App Server for Backup App Server for Backup App Server for Backup
  • 14. On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent OM Group BackupLoadBalancer App Server for Backup App Server for Backup App Server for Backup Backup Daemon HeadDB Backup Daemon HeadDB Backup Daemon HeadDB
  • 15. ... ... Blockstore06 Blockstore04 Blockstore02 On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent OM Group BackupLoadBalancer App Server for Backup App Server for Backup App Server for Backup Backup Daemon HeadDB Backup Daemon HeadDB Backup Daemon HeadDB Blockstore01 Blockstore03 Blockstore05
  • 16. ... ... ... ... Oplog04 Oplog02 Blockstore06 Blockstore04 Blockstore02 Oplog06 On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent OM Group BackupLoadBalancer App Server for Backup App Server for Backup App Server for Backup Oplog01 Oplog03 Oplog05 Backup Daemon HeadDB Backup Daemon HeadDB Backup Daemon HeadDB Blockstore01 Blockstore03 Blockstore05
  • 17. Backup Strategy ● Reduce the footprint and architectural complexities needed for backup ● Reduce cost ● Improve performance
  • 19. What is it? ● Enhanced WiredTiger to take checkpoints of itself ● Checkpoints are then moved to long term storage ● HeadDB’s are completely eliminated — no more initial syncs! ○ Reduced storage requirements ○ Reduces architectural complexities ○ Reduces infrastructure required ● Consolidated agents, from three agents to one
  • 20. ... ... ... ... Oplog04 Oplog02 Blockstore06 Blockstore04 Blockstore02 Oplog06 On-Premises Backup Architecture Today Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent Backup Agent Monitoring Agent OM Group BackupLoadBalancer App Server for Backup App Server for Backup App Server for Backup Oplog01 Oplog03 Oplog05 Backup Daemon HeadDB Backup Daemon HeadDB Backup Daemon HeadDB Blockstore01 Blockstore03 Blockstore05
  • 21. Oplog02 Blockstore New Backup Architecture Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent OM Group BackupLoadBalancer App Server/Backup Daemon App Server/Backup Daemon Oplog01 S3 Snapshot Store
  • 22. Backup Node Selection Order 1. Hidden Secondaries 2. A secondary we have already taken a snapshot from 3. Secondary closet to the time of the time of the snapshot 4. Any available secondary 5. Primary
  • 23. Phase 1 Details • Backup agent required to exist on every node • OM 4.2 required for backing up 4.2 • Backwards compatible for 4.0 and below • Daemons are used for background tasks • Replica sets only, sharded clusters coming later • Advanced features coming later
  • 24. S3 Oplog Blockstore New Backup Architecture — Future Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent OM Group BackupLoadBalancer App Server for Backup App Server for Backup Oplog01 S3 Snapshot Store
  • 25. Future Improvements ● Agents read/write directly to OpLog and snapshots store
  • 26. S3 Oplog New Backup Architecture — Future Ops Manager OM01 OM02 OM03 OM04 OM05 OM06 MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent MongoDB Agent OM Group S3 Snapshot Store
  • 27. Future Improvements ● Agents read/write directly to OpLog and snapshots store ● Leave a checkpoint behind
  • 28. What this means for you... ● Less people, time, and energy you have to spend to deliver a best-in-class data recovery solution for your on-premises and self-managed MongoDB deployments
  • 29. Atlas
  • 30. Private DBaaS: On-Prem Public DBaaS: Fully Managed Built on the Same Code Base, Same API, Same Management UI Atlas: Same Features as Ops Manager & Cloud Manager Hybrid DBaaS
  • 31. The Latest MongoDB Features • MongoDB Atlas comes out-of-the-box with MongoDB 3.4, 3.6, 4.0 • Transactions (4.0) • Change Streams (3.6) • JSON Schema (3.6) • Expressive nested array updates (3.6) • Expressive joins: $lookup (3.6) • Graph queries (3.4) • Facets & expressive aggregations (3.4) • Minor updates and major upgrades without downtime ● Data Explorer ○ Inspect schema & index utilization ● Real-Time Performance Panel ○ Live telemetry: in-flight operations & resource consumption ● Performance Advisor ○ Always-on index recommendations
  • 32. Multi-AZ Disaster Recovery by Default AZ IIAZ I AZ III
  • 33. ...with Optional Multi-Region Fault Tolerance AZ IIAZ I AZ III Preferred Region AZ I AZ II AZ I AZ II Failover Region Failover Region
  • 34. Atlas Backups: Data Recovery Roll back the clock when you run into issues triggered by user or application errors that are replicated from the primary to the rest of your cluster.
  • 35. Point-in-Time Data Recovery • Lets you select a restore time based on your PIT window • Restores the closest snapshot and rolls ahead • Reduces the possibility of data loss
  • 36. What About Small Disasters? • The application is working fine • But there is data missing or has been altered • No time to do a full restore
  • 37. Queryable Backups • Ability to query your snapshots and restore data at the document level in minutes. • Reduces the operational overhead associated with: • Identifying whether data of interest has been altered • Pinpointing the best point in time to restore a database
  • 38. db = source.locations db2 = destination.locations zips = db.zipcodes zips2 = db2.zipcodes def restore(): print "Finding Missing Data" query = {'state': ‘NY'} try: cursor = zips.find(query) except Exception as e: print "Unexpected error:", type(e), e for doc in cursor: zips2.insert(doc) Sample Queryable Script
  • 39. Demo
  • 41. Cloud Provider Snapshots (CPS) • Utilizes each providers native snapshot capabilities • Granular backup region selection • Satisfy data sovereignty requirements • Supports replica sets and sharded clusters • Pricing is based on snapshot size, not data size • Less expensive, starting at $0.08 per GB of snapshot size (varies per provider and region) • Now available on all cloud providers! • AWS and GCP snapshots are incremental Incremental snapshots for Atlas customers deploying on AWS 10 GB 15 GB (5 new) 20 GB (5 new)
  • 42. Cloud Provider Snapshots (CPS) Updates — Continued • Bring your own keys • AWS KMS • Azure Key Vault • GCP KMS • Backup Policies • On-demand snapshots (quicksave) • Takes a snapshot immediately if there’s not already one in progress • API for pipeline integrations • M2/M5 Backups (Coming Soon!)
  • 47. Cloud Provider Snapshots - Future ● Point in Time Restores with customizable window ● Build a new cluster from a backup ● Queryable Backup with Selective restore
  • 48. Pick the fully managed backup solution that’s right for you Within Atlas is a modern data recovery platform that enables you to choose how you want to backup your data, depending on your requirements. Continuous ● Point-in-time restore ○ All but eliminate the possibility of data loss ● Queryable snapshots ○ Rapidly restore granular data Cloud Provider Snapshots ● Localized backup ○ Satisfy data sovereignty requirements ● Bring your own keys ● Take snapshots on-demand ● The cost effective option