Postgres is the leading open source database management system that is being developed by a very active community for more than 15 years. Gaby Schilders is Sales Engineer at EnterpriseDB, supplier of the EDB Postgres data platform. Gaby Schilders, Sales Engineer at EnterpriseDB, will be explaining why companies take open source as the centerpiece for modernising their IT infrastructure, thus increasing their scalability and taking full advantage today's technologies offer them.

1. Postgres: the centerpiece for
modernising IT infrastructure
Gaby Schilders - EDB

2. Agenda
• Open source, Postgres and EDB origins
• Digitalization, competition and open source
• Postgres as a platform of innovation in a multi-model
data world
• The role of digital business applications in digital
business initiatives
• Postgres and the DevOps motion: PaaS and IaaS
• The role of the DBA in a DevOps enabled, enterprise
class open source-based data management strategy
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3. Timeline Open Source Software
3
Gnu’s not Unix
Linux is not your
dad’s Unix
Open source is not
business as usual
80’s
90’s
Open source database
is not a toy
00’s
10’s

4. • Most mature open source DBMS technology
• Enterprise-class features (built like Oracle, DB2, SQL Server)
• Strong, independent community driving rapid innovation, e.g.,
JSON, PostGIS
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Fully ACID Compliant
MVCC
Point in Time Recovery (PITR)
Data and Index Partitioning
Bitmap Indexes
ANSI Constraints
Triggers & Stored Functions
Views & Data Types
Nested Transactions
Online Backup
Online Reorganization
Foreign Keys
Streaming Replication
Multi-Core Support
JSON Support
HStore
Postgres: A Proven Track Record

5. The Gartner report, Magic Quadrant
for Operational Database
Management Systems, by Nick
Heudecker, Donald Feinberg, Merv
Adrian, Terilyn Palanca, Rick
Greenwald was published October
5, 2016.
This graphic was published by Gartner, Inc. as part of a
larger research document and should be evaluated in the
context of the entire document. The Gartner document is
available upon request from EnterpriseDB.
Gartner does not endorse any vendor, product or service
depicted in its research publications, and does not advise
technology users to select only those vendors with the
highest ratings or other designation. Gartner research
Publications consist of the opinions of Gartner's research
Organization and should not be construed as statements of
fact. Gartner disclaims all warranties, expressed or implied,
with respect to this research, including any warranties of
Merchantability or fitness for a particular purpose.
Gartner MQ: EDB is the Leading OSS-
based DBMS

6. Digitalization
The integrated use of analytics, big data, the cloud, the
Internet of Things, mobile, and the application culture.
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7. Digital Transformation
How enterprises apply digital technology to their
businesses and operational processes enabling new
types of products and services rather than simply
enhancing existing systems.
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8. Digitalization Makes Competition a Higher Stakes Game

9. Open Source is Critical to Your IT Strategy
“Open-source software (OSS) industry saturation is complete: today, 95%
of mainstream IT organizations leverage nontrivial open-source software
assets within their mission-critical IT portfolios — whether they know it or
not.”
-Hype Cycle for Open-Source Software, 2016, Mark Driver, 11 July 2016
“Add open-source RDBMSs to your organization's DBMS standards for
new uses, and to replace commercial RDBMSs where these are not
specifically required.”
-Emerging Technology Trends Create Opportunities for DBMS Cost Optimization, Donald Feinberg, Adam
Ronthal, 21 April 2016
Speed
Agility
Flexibility
Big ROI
Low TCO

10. The DBA in Digital Business Initiatives
• Digital Business Applications are developed in schema
less modes
• Data models ‘emerge’ during the Agile Process
• DevOps frameworks support automated provisioning,
scaling, integration ad recovery of highly available data
base solutions
• Commercial vendor with high-end hardware help open
source scale
• Where does that leave the DBA?
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11. The DBA in Digital Business Initiatives
• Old:
• Create/manage data models
• Add tables, columns, indexes, foreign keys
• Instantiate data bases
• Manage failover and recovery
• New
• Focus on data as a critical business asset
• Manage data origination, data quality, data sharing and data integrity
• Facilitate the integration of data across business applications
• Focus on creating value instead of managing systems
• Focus on acceleration infrastructure (DBaaS/IaaS, schema less
development)
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12. Polyglot Persistence
It’s a fact not one DBMS technology
dominates
Event capture or caching of
transactions on the edge
Analysis of large data sets in the
Hadoop ecosystem
Transactional systems are still at the
heart
Existing systems have to be
leveraged rather than replaced in
order to move forward efficiently
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84%AT&T
84%AT&T
84%AT&T
Big Data
§ Hadoop
§ Map-reduce
§ HDFS
Legacy
Systems
§ ERP
§ CRM
Data Warehouse
Event Data Capture
Highly Available & Scalable
ACID Multi-model DB
§ SQL
§ Key/value
§ JSON
§ Geospatial
Integration
§ Hadoop
§ Mongo
§ MySQL
Oracle compatibility
Replication to/from
• SQL – Server
• Oracle

13. • Schema-less development
for faster application
development
• Add structure to
unstructured data to ensure
integrity
• Run SQL queries across all
data types
Relational
Key-Value
(Hstore)
Document
(JSON)
Multi-Model DBMS
New application models require greater flexibility

14. EDB Postgres Integration
XDB support for replication
from and to Oracle and SQL
Server
FDWs for:
• HDFS
• Hive
• Spark
• Mongo
• MySQL
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84%AT&T
84%AT&T
84%AT&T
Big Data
§ Hadoop
§ Map-reduce
§ HDFS
Legacy
Systems
§ ERP
§ CRM
Data Warehouse
Event Data Capture
Highly Available & Scalable
ACID Multi-model DB
§ SQL
§ Key/value
§ JSON
§ Geospatial
Integration
§ Hadoop
§ Mongo
§ MySQL
Oracle compatibility
Replication to/from
• SQL – Server
• Oracle

15. Patterns
Replication of data from ERP/CRM to EDB
• BOM
• Personnel & Org info
• Customer Info
Integration back to HDFS
Integration back to Data Warehouse
John Rhymer of Forrester talks about Hybrid Extend
• Build out new digital capability as an extension of existing apps
• Leverage what you have
We support that as well or better than any DBMS system and we do it more
cost effectively
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16. Why Dev/Ops and Micro-services?
When product becomes digital, the innovation rate accelerates and competition
is continuous
• What’s that mean?
• Competition comes out with a new feature on their self-service web page and you have to
respond, not tomorrow, today
• You have to differentiate on an ongoing basis because your competition is always
catching up
• The positive side is that you can add value in new ways and deliver it to
the market place faster pulling revenue towards you
Micro-services makes the unit of update contained and easily updated
New Dev/Ops models like Continuous Integration and Delivery (CICD) allow
operations and developers to work together and deliver a stream of updates
and new innovation. Daily updates and new capabilities.
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17. Private Cloud with Public Cloud Capabilities
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18. Value Drivers for Hybrid Cloud Management of the
Database
• IT Operations need to manage, control and understand resource utilizations
• DBAs need to define templates for deployments
• End users require self-service and easy to use interfaces
• Organizations require support for multiple clouds
• Production deployments need elastic scalability and auto backup
• DevOps motions require PaaS integration
EDB Confidential

19. Delivering DBaaS to Private Cloud
Ark for:
• OpenStack
• AWS
• Azure (soon)
• Azure Stack (later)
Integration of Ark with PaaS
• Pivotal Cloud Foundry
• OpenShift
• Docker
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EDB Postgres
Backup and Recovery
EDB Backup and Recovery
EDB Postgres Master
pgPool
EDB Advanced Server
PEM Agent
EDB Failover Manager
EDB Postgres Replica
pgPool
EDB Advanced Server
PEM Agent
EDB Failover Manager
EDB Postgres Enterprise
Manager
PEM Server
PostgreSQL
Persistent
Volumes
/pgdata
/pgxlog
/pglog
/pgbackup
App “A”
Service Broker Cloud Controller
Cloud Controller API
Catalog
Provision
Bind
Unbind
Deprovision
Service
Broker API
App Environment
App “B”
App Environment
EDB DBaaS
Binding
Binding
Catalog
Provision
Bind
Unbind
Deprovision
Cloud Foundry
Elas1c Run1me
Cloud Controller DB
PostgreSQL
or EDB Postgres
Advanced Server
A
B

20. Supporting DevOps with a DBaaS Service
• Address the tension between developers and operations
• Developers want
• Agility
• Speed to deploy
• Flow through tool chain
• Operations wants
• Visibility
• Control
• Budgeted resources
• Cost
• Data models
• Efficient use of resources
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21. EDB PostgreSQL
DBaaS Cloud Management for Hybrid Clouds
EDB Ark
Production
Clusters
Development
instances
EDB Ark provisions and manages robust, elastic, HA Postgres clusters in multiple clouds

22. EDB Ark – Provisioning a database in 10 minutes or less
Automated, fast, simple, management visibility and reliable.
1 Scale replicas in or out manually
2 Clone cluster for new app development
3 Upgrade Postgres version on your schedule
4 Scale server class up or down manually
5 Transaction or Recovery preferred failover
6 Multi-node clusters with automatic replication,
connection pooling and load balancing
7 User controlled auto-scaling thresholds
8 Auto-backup policies including PITR
9 Monitoring and Events panels
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2
3
4
5
9
7 8
6
Console

23. EDB’s Value Propositions
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• Multi-Model
• Polyglot Persistence
• Native JSON
development
• Enterprise manageability
• Roadmaps
• QA and certifications
• World leading support &
expertise
• Open source value
• Oracle compatibility
• Sub-capacity licensing
• EDB Ark
• Elasticity
• Private, public, hybrid
cloud
• License mobility
Cloud
Management
Flexibility
Low TCO-
with Big
ROI
DBMS for
Digital
Business
Enterprise
Postgres

24. EDB Postgres Platform 2017
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25. Database Platform For Digital Business
Edb Postgres And EDB Ark
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26. THANK YOU