Db2 on Cloud Pak for Data · Microservices that can be developed, updated and scaled independently...

Db2 on Cloud Pak for Data

Nidhi BhatnagarOffering Manager, [email protected]

March 3rd, 2020IBM Cloud Pak for Data / © 2020 IBM Corporation

2

Legal Disclaimer

© IBM Corporation 2020. All Rights Reserved.The information contained in this publication is provided for informational purposes only. While efforts

were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software.

References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results.

IBM Cloud Pak for Data / © 2020 IBM Corporation

On-Premises

Services Layer

Platform Interface Layer

Kubernetes Layer

Infrastructure Layer

1. Services Ecosystem

With a click, access and deploy an ecosystem of 45+ analytics services and templates from IBM and third parties.

2. Data Virtualization

Quickly and easily query across multiple data sources without moving your data.

3. Platform Interface

Speed time-to-value with a single user experience that integrates data management, data governance andanalysis for greater efficiency and improved use of resources.

4. Red Hat OPENSHIFT®

Leverage the leading hybrid cloud, enterprise container platform for an innovative and fast deployment strategy

5. Any Cloud

Avoid lock-in and leverage all cloud infrastructures with our multi-cloud approach.

The PlatformTrade-up to

IBM Cloud Pak for Data Db2

Trade in your existing Db2 license towards a “cartridge” that will provide you with dual entitlement towards IBM Cloud Pak for Data and IBM Db2.

With this cartridge, you can begin incrementally containerizing your Db2 applications – OR – simply enjoy the benefits of the additional services that come with Cloud Pak for Data. The choice is yours!

IBM

Db2

On-Premises

Services Layer

Platform Interface Layer

Kubernetes Layer

Infrastructure Layer

1. Services Ecosystem

With a click, access and deploy an ecosystem of 45+ analytics services and templates from IBM and third parties.

2. Data Virtualization

Quickly and easily query across multiple data sources without moving your data.

3. Platform Interface

Speed time-to-value with a single user experience that integrates data management, data governance andanalysis for greater efficiency and improved use of resources.

4. Red Hat OPENSHIFT®

Leverage the leading hybrid cloud, enterprise container platform for an innovative and fast deployment strategy

5. Any Cloud

Avoid lock-in and leverage all cloud infrastructures with our multi-cloud approach.

The Platform

Leveraging AI Services that are part of base CP4D with Db2 Cartridge

With Db2 Cartridge, you can leverage all Base Services to accelerate your journey towards Cloud and AI with an integrated UI and seamless integration of the complete portfolio of AI Services


Dual Entitlement licensing model for Db2 Cartridge

• Dual entitlement enables you to unlock wide range of AI services (worth up to $256k) part of base Cloud Pak for Data

• Deploy Db2 as a container and as a bare metal using dual entitlement option

What is “dual entitlement” and how does it work?

EXAMPLE

Consider a trade-up of 100 cores of Cloud Pak for Data Db2

Db2

On-prem On CP4D

100 VPCs

0 VPCs

Other CP4D Services

100 VPCs

Db2

On-prem On CP4D

60 VPCs

40 VPCs

Other CP4D Services

60 VPCs

Db2

On-prem On CP4D

100 VPCs

0 VPCs

Other CP4D Services

0 VPCs

No containerization Partial containerization Full containerization

Customer opts to maintain their existing Db2 instance and make use

of the other CP4D services.

Customer opts to containerize only a subset of their Db2 applications.

Customer opts to containerize their entire Db2 estate and deploy on

CP4D.

All three of these deployment strategies are supported.

What is “dual entitlement” and how does it work?

EXAMPLE

Consider a customer who trades up to x100 cores of Cloud Pak for Data Db2

A max of 100 VPCs of Db2 to run on-prem, containerized on Cloud Pak for Data or a combination of both

A max of 100 VPCs of Cloud Pak for Data to support Db2 containerized, any combination of Cloud Pak for Data services or a combination of both

AND

IBM

Db2

Cloud Pak for Data

Customer is entitled to

9

71% or ORGS are planning to containerize existing applications

SecurePortable

Prebuilt and

CertifiedContainers

OS Abstraction

AgileMicroservices Architecture

Unify DevOps Pipeline

Light weight

RHOS Principles

Kubernetes

Infrastructure for

complex operations

OperatorsMaintain

desired State

Containers extend Cloud experience to any Private DC


Why Db2 in Cloud Pak for Data


Rapid Deployment of Database which is Agile, Elastic and Modular

Rapid Deployment

Pre-customized DB created during provisioning

Db2 services deployed as Microservices that can be developed, updated and scaled independently

Faster delivery of new Db2 features

Flexibility to deploy on-prem or any cloud provider

Simplified Lifecycle Management (Upgrade via Helm, Coming soon: Operator Backup/restore)

Why Db2 as Cloud Native Database?

Upcoming Features

• Custom Configurations[1H 2020]

• Oracle compatibility[1H 2020]

• Storage certification & optimization [2H 2020]Minimum config [.5 CPU / 1GB]

• Database Vertical Stacking[1H 2020]

Ecosystem integration

Integration with the Marketplace

Lifecycle management experience

Platform integration

User Management

Unified Db2 Console

Data & AI integration

Notebook integrationAI & ML integration

Catalog/Discovery integration

New/ Coming

Platform level Backup/restorePlatform level Disaster Recovery

Metering, Logging and serviceability

Db2 contributes to the rich ecosystem offered by

Cloud Pak for Data

Db2 integrated in Cloud Pak for Data



Why Db2 in Cloud Pak for Data

Accelerate your cloud and AI journey and Reduce Complexity

Easy to Deploy

❖ Cookie Cutter Deployment❖ Deploy within minutes, enables standardized deployment and management with

flexibility

❖ Automated Failover (New in Q12020):❖ Out of Box enhanced Kubernetes availability❖ Support for HA/DR

❖ Automated Update:❖ Service Packs, versions and mods can be deployed at the push of button

Easy to Manage

❖ Automated Management by “Application Group”❖ Use Namespaces to manage access control and provisioning options

❖ Monitor and Manage at an application level❖ Platform and Service level monitoring and management



Fast and easy monitoring and performance management of Db2 in Cloud Pak for data with integrated single view

Manage and Monitor over 100 Db2 databases across form factors

Catch problems before they impact with monitoring and alerts

Manage Resource Usage and Data Contention

Customize with Open APIs

Built in Team Collaboration

Platform Integration: Unified Db2 Console


Administer, monitor, manage and optimize the performance of databases, with the interactive, simple to use UI

Built on Open Restful APIs, all dashboard functionality is available via open APIs

Built-in team collaboration

Ability to be integrated into custom personal web pages

Unified Db2 Console

• Db2 graph is an integration layer built on the Tinkerpop framework, to execute Gremlin queries on Db2

• Execute SQL and Gremlin queries on the same data and avoids the costs of duplicating data and over head of migrating data into a Graph data store

• Exposes the data from Db2 RDBMS in a virtual Property graph view, for graph queries• Uses metadata from Db2 catalog and referential information to

create the graph overlay

• Is optimized for efficient graph traversals by• Reducing the number of tables we need to access from DB2• Predicate pushdown to perform selective querying


Db2 as a Graph databasePerform graph analysis and OLTP on the same set of tables, with no data migration or duplication or investing in a graph database. This would average out to savings upwards of 200K USD/Annum.


Ecosystem Integration – Cloud Pak Marketplace

Plug and Play seamless tiles of AI Services along

with Db2 & Db2 Warehouse available on

Cloud Pak for Data marketplace


Available on IBM Public Cloud Marketplace:

Select the Data Services you need, deploy and get started in minutes


Data and AI Integration – Leverage Db2’s ML with Analyze layer

Leverage Db2’s AI capabilities to drive

better synergies with the Analyze

layer

Leverage Db2’s ML capabilities to natively run, train models built in Watson Local Studio

Support JSON, Graph

Jupyter Notebooks Collaborative Dev Environment

Support Python, Go langs, Run Python UDFs

Support different data types for ML & analytics (Relational, NoSQL, Graph)

Build Apps with Db2 by leveraging the Db2 Add-ins for Visual Studio code



Provides abstraction layer for faster application deployments and increase time to value

Develop secure and scalable Kubernetes applications without dealing with complexity of Kubernetes

RedHat OpenShift is a tightly Integrated Stack with Infrastructure as a Service, Operating System and Kubernetes working in tandem

• Simple and Unified interface to leverage power of Kubernetes without needed to learn Kubernetes

• An enterprise-grade Kubernetes distribution with hundreds of security, defect, and performance fixes in each release

• Validated popular storage and networking plug-ins for Kubernetes

• Automated operations from over-the-air updates for RedHat CoreOS and Kubernetes (coming soon)

Roadmap: Light-weight core OS designed for containers with easy upgrades in RedHat OpenShift 4.x

RedHat OpenShift tightly integrated Stack


RedHat OpenShift provides container security capabilities on top of Db2 Security features to secure Data

Fully secure your data with powerful Db2 security along with integrated RedHat OpenShift Container security capabilities

Db2 Security• Supports Transport Layer Security (TLS) to encrypt data in transit• Client-server communications are fully encrypted at both the network and

disk level

RedHat OpenShift Container Security:

• Leverage the security of RedHat OpenShift Platform to make containers for Db2 secure

Improved Db2 Security with RHOS


Choose Storage options based on your performance and scalability needs and scale the storage as needed to reduce costs

Get High performance from your data while keeping the costs low with Db2 Multi-temperature storage support

• Frequently accessed data (hot data- fast storage) ->SAN• Infrequently accessed data (warm data - slightly slower storage) -> NFS• Rarely accessed data (cold data - slow, less-expensive storage) -> Cloud

Storage

Db2 on Open Shift Supports all Traditional Storage ( SAN for performance, NFS, Cluster file System such as GPFS and local disks

Roadmap:• Software Defined Storage which is native to RedHat OpenShift and Kubernetes

and a defined control plan manages the storage layer like dynamic provisioning, replication, snapshots, expansion etcPortworx and Ceph Certification targeted for Q1 2020


Multi temperature & Software defined Db2 Storage on RHOS


1Q 2020 2Q 2020 3Q 2020

• Automated HADR• Db2 Graph API Integration• Software Defined

Storage(Portworx, Ceph)• RedHat OpenShift 4.3

• External LDAP Support• IBM Power Support• Lifecycle Management via

Redhat Operators: Automated Backup

• QREP: HA for MPP• Oracle Compatibility• Lifecycle Mgmt via

Operators: Automated Upgrades and Updates

4Q 2020

• Db2 pureScaleclustered database solution support

Functionality specific to Db2 Cartridge Gaps from Db2 on-prem in roadmap

Db2 Cartridge Roadmap

• Open Shift Versions Supported - ?? • OS Versions supported- ??

Common Container features

OLTP container features

OLAP Container features

IBM

Db2

Db2 Trade-ups explainedExample #1 – Full containerization

Cloud Pak for Data

Source:

Customer begins with a perpetual license for 7,000 PVUs of IBM Db2 Enterprise Server Edition.

Target:

Customer purchases 100 units of trade-up part for 100 VPCs of IBM Cloud Pak for Data Db2.

Deployment Strategy:

Customer opts to fully containerize their Db2 deployment by migrating it into the Cloud Pak for Data environment, thereby utilizing all 100 VPCs of the cartridge license; There are no remaining cores to utilize towards other CP4D services.

Trade-up details:

For each unit of part number D260ALL that the customer purchases, they agree to suspend 70 units of their existing Db2 Enterprise Server Edition PVU license and thereby trade-up to the new Cloud Pak for Data Db2 cartridge.

* VPC = Virtual Processor Core

** PVU = Processor Value Unit

Utilization:100 VPCs


After trading up to the cartridge, the customer adopts the following deployment model:

Host 1On-premises

Capacity: 100 cores


IBM

Db2

Cloud Pak for Data

Host 1On-premises

Capacity: 100 cores

Host 2Amazon Web Services

Capacity: 100 cores


After trading up to the cartridge, the customer adopts the following deployment model:

Db2 Trade-up explainedExample #2 – No containerization

Source:

Customer begins with a perpetual license for 100 VPCs of IBM Db2 Advanced Edition.

Target:

Customer purchases 100 units of trade-up part for 100 VPCs of IBM Cloud Pak for Data Db2.

Deployment Strategy:

Customer opts to continue running their existing Db2 deployment non-containerized; this frees up the remaining 100 VPCs of Cloud Pak for Data Enterprise Edition to be utilized towards other services.

Trade-up details:

For each unit of the trade-up part that the customer purchases, they agree to suspend 1 units of their existing Db2 Advanced Edition VPC license and thereby trade-up to the new Cloud Pak for Data Db2 cartridge.

The Ladder to AI

Cloud Pak for Data

How Db2 adds value in Cloud Pak for DataFoundational “out of the box” multi-cloud data & AI services

Powered by: Watson Studio open source and Cognos

o Data visualizationo Machine learning learningo Model build & deployo Model management o Dashboards

Powered by: Infosphere, Data Stage and IGC/WKC

o Discovery & searcho Data transformationo Data catalogingo Business glossaryo Policies, rules & privacy

Powered by: Db2 and Db2 Warehouse technologies

o Data virtualizationo Data warehousingo Databases on-demando Data source ingestiono Distributed processing

• Logging• Monitoring

• Metering• Persistent Storage

• Identity Access Mgmt.• Docker Registry / Helm

• Kubernetes• SecurityMulticloud Services

Collect Organize Analyze

BusinessUsers & Analysts

DataEngineers

AppDevelopers

DataScientists

DataStewards


Db2 V11.5 parts & pricing list

Part description Type of License & Metric Price

Strategic Priority

Db2 Cartridge for IBM Cloud Pak for Data

License +SW S&S per VPC (perpetual) $72,000

Committed Term License per VPC (yearly price) $28,920

Secondary Priority

Db2 Advanced edition Perpetual License +SW S&S per VPC $61,800

Db2 Standard edition Perpetual License +SW S&S per VPC $1800

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