Modernizing your Database Infrastructure with IBM Db2 and ...

IBM Cloud1

Modernizing your Database Infrastructure with

IBM Db2 and RedHat OpenShift

Phil Downey

IBM DTE Hybrid Data Management Leader

Loic Julien

STSM / Databases Deployment

IBM Cloud, Data & AI

Irina Delidjakova

Db2 Deployment and Licensing Manager

IBM Canada

IBM Cloud2IBM Digital Technical Engagement

Please note

▪ IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice and at IBM’s sole discretion.

▪ Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision.

▪ The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract.

▪ The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.

▪ Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user’s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.


Agenda

• Journey to Cloud for Database Landscapes

• DB2 for IBM Db2 Cloud Pak for Data on

OpenShift

• Considerations for your Journey

• Deep Dive into the DB2 on IBM Cloud Paks and

Red Hat OpenShift


The Journey to Cloud: Database

Public Cloud has fallen short

Businesses need to modernize traditional platforms &

adopt agile deployment practices

• Without compromising on Service levels

To achieve this they want cloud simplicity and

standardization combined with:

• Choice of configuration to support different Workloads

• Affinity with application deployment

• Choice of infrastructure

• Simplified life cycle management

• Cloud platform managed availability


The Adoption of Agile Practices


The 2 Speed Cloud Journey for Databases on Hybrid Cloud

J2EE J2EE

J2EE

Cloud Native Channel and

Event Sourcing Applications

e.g. Driving Digital Channel Innovation

System of Record Applications

e.g. Traditional Core Business

Applications

Database Layer Servicing Both or Combined Workloads

ML Powered Processes

NoSQL & SQL


Data Warehouses

Application Databases

Standardized

Deployment & Management

Flexible Configuration

& Service Levels

Hybrid Cloud Databases Provide the benefits of Cloud

but Without the Constraints for Databases

Infrastructure Platform that is

open to all shapes and sizes

8

The Ladder to AI

Cloud Pak for Data

Cloud Pak for Data – Self-serve Different PersonasFoundational “out of the box” multicloud 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

IBM Cloud9

AppDeployment

Data

New Requirements& Engagement

DevelopmentTest

MonitoringRetraining

Search for Data

Acquiring Data/Self Service

Modelbuilding

Hadoop

Data Warehouse

NoSQL

Virtual Data Lake

ML Model Deployment

RefiningData

Continuous Deliveryof Applications

Continuous Deliveryof Insights

Easily Combine with their Journey to AI

Multi-Cloud GovernanceMicroservices & APIs

SQL


IBM is Embracing Hybrid Cloud for their Database Journey to Cloud and AI


1. Services Ecosystem

Deploy DB2 with 45+ analytics services and templates from IBM and third parties Plus Cloud Pack for Data and OpenShift options

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.

Db2 for IBM Cloud Pak for Data

On-Premises

Services Layer

Platform Interface Layer

Kubernetes Layer

Infrastructure Layer

IBM

Db2


Translating Traditional Customized Deployments to Hybrid Cloud With Db2

Dedicated vs Shared Resource Deployments

• Databases can share compute and storage or can choose dedicated

Choice of Workload

• Take the Same DB2 and Deploy Optimized for OLTP or Warehousing

Choice of Storage or Compute

• The ability to provide different infrastructure in the same deployment


Translating Traditional Customized Deployments to Hybrid Cloud With Db2

Co-Location and Security with Applications

• Combine Infrastructure for one Application Logically and Physically

Operate and Manage at a Landscape or Application level

• Group Services together by Namespaces

Manage & Monitor Databases with the Same Console on any Platform

• Integrated and support for IBM Data Management Console


Accelerate and Reduce Complexity

Cookie Cutter Deployment

• Enables standardized deployment and Management with Flexibility

Automated Update

• Service packs, versions and mods can be deployed at the push of a button

Monitor and Manage at an Infrastructure level

• Platform and Service level monitoring and Management

Automated Failover

• Out of the Box enhanced Kubernetes Availability

• Support for HA/DR

Automated Management by “Application Group”

• Use Namespaces to manage access control and provisioning options


Adopt Defaults or Configure to your Needs


Monitor and Manage


Accelerate and Reduce Complexity

Traditional Connectivity

• JDBC, . Net

Cloud Native Development

• Django

• Node.js

• Swift

• Go

• Ruby ….. And More

Data Science

• Python

Restful API

NoSQL / SQL

• JSON / XML,GML(Spatial)

• BigData


Getting Started

Putting in the Leg Work

Discover and Categorize Deployments• Categorize by Service levels and

Workloads

Assess Enhancement Options

Prioritize on business Impact• Best fit for success

• Total Cost of Ownership gains

• Business Agility

• Can benefit from AI or Digital

Digital transformation

Pick Candidates to Test and Prove

Prepare for the Descent

Build an onboarding & transition plan

Put in place an Agile / Iterative

deployment strategy

Align Business Owners and Go

Nail the Descent

On Board your target Workloads

Take the momentum and line up the

next category of Apps

Realize the Operational Efficiency

gains

19Cloud Forum / © 2019 IBM Corporation

Db2 for IBM Cloud Pak for Data – An orchestrated Lifecycle

20Data and AI Forum / © 2019 IBM Corporation

Running it over time is harder.

Running a Database is easy.


What is a Container?

Containers are a lightweight alternative to Virtual Machines for running

software in portable and isolated virtual environments

Attribute VM Container

Start-up time & Performance Slow (minutes) HV overhead Fast (seconds) no HV overhead

Footprint Large (nothing shared) Small (OS kernel shared)

Resource Constraints Yes Yes (CPU, Memory)

Isolation & Security High High

Portability Low High

Traditional Virtualization Approach

App A App B1 App B2

Bins & Libs Bins & Libs Bins & Libs

Guest OS(RHEL)

Guest OS(RHEL)

Guest OS(RHEL)

Hypervisor

Server HW

VMs

Host OS

App A App B1 App B2

Bins & Libs Bins & Libs

Host OS(RHEL)

Server HW

Docker Container Approach

Hypervisor OPTIONAL

Containers

IBM Cloud22

Cgroups & Namespaces isolation

Ap

p A

’

Host OS

Server

Bins/Libs

Ap

p A

Bins/Libs

Ap

p B

Ap

p B

’

Ap

p B

’

Ap

p B

’

Container

Container• An isolated user space within a running Linux OS

• Immutable – container environment will not change across stop/start

• Shared kernel across containers

• Direct device access

• All packages and data in an isolated run-time, saved as a filesystem

• Resource management implemented with Linux Control Groups ( Cgroups )

• Resource isolation through Linux namespaces ( currently 6 implemented )

Run

https://access.redhat.com/documentation/en-US/Red_Hat_Enterprise_Linux/6/html/Resource_Management_Guide/ch01.html

https://lwn.net/Articles/531114/


Db2U Container Ecosystem

Db2U: Containers & Operators

• Containers are PORTABLE, Secure, Pre-built & Certified

• Containers abstract differences in OS and underlying environments

• Containers are Agile & Lightweight

• Containers unify a consistent environment for DEV/TEST/PROD

• Containers & RHOS enable a Microservice Architecture



Db2U: Helm & Operators

• Dec. 2019

• Helm provisioning

• Roadmap for Q1 2020

• Operators extend to Db2U the successful Kubernetes and RHOS Architectural principles

• Operators provide the infrastructure for complex, long running operations (Day 1, Day 2): Deployment,

Backup, Scaling, ...

• Operators work at maintaining a desired state: They will take corrective action when that state isn't reached

(yet or anymore)

• HW failure [An operator will work on bringing back the number of replica desired on a standby]

• Upgrade [An operator will perform a (rolling-)upgrade of all images to an updated & desired level]

• ..

• Containers & Operators unify a Cloud-like experience to any private data centers: Resources, Scaling,

Failover..

IBM Cloud25IBM Digital Technical Engagement 25

Db2U - A strategy built on a unified Db2U Custom Operator [Roadmap @Q1 2020]

▪ With a common underlying architecture based on Kubernetes Operators, we’re working to deliver a consistent experience across cloud environments:

• RedHat OperatorHub: prototyping and basic production use

• Cloud Pak for Data: complex workloads, advanced management capabilities

• IBM Public Cloud: fully managed SaaS experiences

• “True hybrid” experiences: transparent data movement between public and private clouds



Container design for the Universal Db2 Container - Db2U (PIT @ 12/2019)


Db2U Design & Runtime Deployment Architecture

▪ Layers have been optimally designed:

• Universal form factor: OLTP/OLAP workload

• Performance: Deployment time drastically reduced through innovation [for instance a pre-created library of databases]

• Architectural Decoupling: Single concern [Upgrade, CreateOnDemand, Configuration]

• Security: Not Running as root, Security Context

Roadmap Q1 2020Not Running as Root


▪HADR setup is easy and can be configured across different clusters enabled with Db2U− Scripts inside container to configure the topology

− Post Deployment steps to connect Primary with Standby

Db2U 1

Cluster A with Db2U

Db2U 2

Cluster B with Db2U

Db2U HADRA Hybrid Strategy

Primary Standby

RHOS in Zone A RHOS in Zone B

Roadmap 1Q 2020

• Automated take-over


Db2U Storage ArchitectureTechnology Information Status

Traditional Storage

Shared Cluster File System

GPFS, GPFS FPO, NFS…

https://www.ibm.com/support/kno

wledgecenter/en/SSCJDQ/com.i

bm.swg.im.dashdb.doc/admin/lo

cal_filesystem.html

Supported

Local Storage (Not Native) Supported

Container Storage

GlusterFS Not Supported

Portworx Being Certified / Q1 2020

Ceph 2020

Spectrum Scale (CSI) 2020

https://www.ibm.com/support/knowledgecenter/en/SSCJDQ/com.ibm.swg.im.dashdb.doc/admin/local_filesystem.html


Db2U Release Cycle: Agile & Synchronized

RHOS

Aug.2019

Nov.2019

CI/CD

Db2 WH

Nov.2019

CP4D

Docker Hub (RHOS)

Db2U [Db2 and Db2 WH]Db2U [Db2 WH]

June2019

Db2U [Db2 WH]

CP4DMay2019

Db2U [Db2 WH]

Dec.2019

Q12020

CP4D

Q12020


Questions ?


Thank You !

See more on Db2 @

IBM.COM/Demos/collection/db2-database

http://www.ibm.com/demos/collection/db2-database

Date post:	18-Dec-2021
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