Application MAA Best Practices on Oracle Private Cloud › ... ›...

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Application MAA Best Practices on Oracle Private Cloud Darryl Presley, MAA Team, CMTS Lyn Pratt, MAA Team, CMTS

Transcript of Application MAA Best Practices on Oracle Private Cloud › ... ›...

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Application MAA Best Practices on Oracle Private Cloud Darryl Presley, MAA Team, CMTS Lyn Pratt, MAA Team, CMTS

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The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Safe Harbor Statement

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Application MAA Best Practices on Oracle Private Cloud Drivers for Consolidation

Maximum Availability Architecture

Oracle Engineered Systems

Applications Unlimited on the Private Cloud

Consolidation Design Principles

Case Studies

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Drivers for Consolidation

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Legacy deployments

Heterogeneous Per-project deployments Low utilization Hard to manage and govern Slow to deploy and change

High risk, high cost, inflexible

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Key Goals • Reduce variety and complexity • Standardize at all levels • Simplify

How to do it • Fewest possible products, versions, vendors • Modular configurations • Pre-defined placement policies • Pre-defined management processes • Plan for expansion and exceptions

Drivers for Consolidation – Reduce Risk

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Key Goals

• Reduce resources and environments • Maximize utilization

How to do it

• Provision as little as possible • Consolidate as much as possible • Pre-defined co-location and fullness policies • Isolate only as needed

Drivers for Consolidation – Reduce Costs

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Key Goals • Rapid deployment and provisioning • Fewer manual processes • Online IT management

How to do it • Modular, pre-built components: Engineered Systems • Pay-as-your-grow platforms • Dynamic footprint (e.g., QoS Management) • Rolling upgrades • Self-service

Drivers for Consolidation – Increase Agility

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Maximum Availability Architecture

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RAC – Scalability – Server HA

ASM – Volume Management Online Redefinition,

Edition Based Redefinition, Data Guard, GoldenGate – Minimal downtime maintenance, upgrades, and migrations

Production Site

Maximum Availability Architecture (MAA) Low-Cost, Integrated, Fully Active, High ROI

Active Data Guard – Data Protection, DR – Query Offload

GoldenGate – Active-active – Heterogeneous

Oracle Secure Backup – Backup to tape / cloud

Active Replica

Flashback – Human error

correction

RMAN & Fast Recovery Area – On-disk backups

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Online Redefinition, Edition Based Redefinition, Data Guard, GoldenGate – Minimal downtime maintenance, upgrades, and migrations

Production Site

RAC – Scalability – Server HA

Flashback – Human error

correction

Active Data Guard – Data Protection, DR – Query Offload

GoldenGate – Active-active – Heterogeneous

Active Replica

Maximum Availability Architecture (MAA) Low-Cost, Integrated, Fully Active, High ROI

Oracle Secure Backup – Backup to tape / cloud

ASM – Volume Management

RMAN & Fast Recovery Area – On-disk backups

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Data Failure Human Error

Hardware Failure Site Disaster

Software Failure

UNPLANNED DOWNTIME Failures & Solutions

Backup & Recovery

Death Detection and restart Clusters & Load Balancing Server/Service Migration State Replication and Replica aware Stubs

SiteGuard Clusters & Load Balancing Server Migration Clusterware Integration

Maximum Availability Architecture

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Deploy and Re-deploy Applications

Transformations, scalability and topology extensions

Patching

Configuration Changes

PLANNED DOWNTIME Operations & Solutions

Hot Deployment Side By Side Deployment

•Online configuration Changes • Changes and warnings •Batching changes / Deferred Activation

Rolling Patching

•Cluster wide JNDI •Dynamic Clusters

Maximum Availability Architecture

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Oracle Engineered Systems

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Engineered Systems I The Family Industry “Positive Disrupters”

• Expedited time to value • Easier to manage and upgrade • Lower cost of ownership

Exalytics Exadata Database Machine

Exalogic Elastic Cloud

Database Appliance

SPARC SuperCluster

Big Data Appliance

• Reduced change management risk • One-stop support • Extreme performance

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Exadata Hardware Architecture X3’s

• Database Grid – 8x 2-socket, or 2x 8-socket Xeon database servers – Oracle Linux or Solaris 11 – Oracle Database 11g, ASM, RAC – 10 Gb and 1Gb Ethernet (to data center)

• Intelligent Storage Grid – 2-socket storage servers – Up to 504 terabytes raw disk per rack – 22.4 terabytes PCI Flash storage per rack – Exadata Storage Server Software

• InfiniBand Network – Internal unified connectivity ( 40 Gb/sec )

Complete Database Grid using standard servers for Compute and Storage

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Exalogic Hardware Architecture

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Applications Unlimited on the Private Cloud

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Making It Simpler…

Engineered systems come with redundancy built in OneCommand lays down the groundwork with MAA best practices

– Cluster services – Voting disks, Oracle Cluster Repository – SCAN listener – ASM – SAME striping methodology

Standard MAA deployments are executed the same way on these platforms as on any other – nothing new to learn

Integrated HA

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Exalogic Elastic Cloud – PIA Web Servers – Application Server – Process Scheduler – PeopleSoft Report

Repository File System

Exadata Database Machine

– RAC Database Servers – Exadata Storage

Shared InfiniBand Fabric

PeopleSoft on Exalogic and Exadata

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Siebel on Exalogic and Exadata Exalogic Elastic Cloud

– Web Servers – Siebel Gateway Servers – Siebel Servers – Siebel File System

Exadata Database Machine

– RAC Database Servers – Exadata Storage

Shared InfiniBand Fabric

ClusteredGatewayServer

OracleRAC and

ASM

OracleDatabase

Load Balancer

Web Servers

Siebel Servers

DB Servers

Storage

Siebel Servers

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Forms Server

OracleRAC and

ASM

OracleDatabase

Concurrent Manager

PCP

Load Balancer

Application Tier

DB Servers

Storage

Self-Service Apps

Exalogic Elastic Cloud – Self Service Apps Web

Servers – Forms Servers – Concurrent Manager

(PCP) Servers – Apps tier File System

Exadata Database Machine

– RAC Database Servers – Exadata Storage

Shared InfiniBand Fabric

E-Business Suite on Exalogic and Exadata

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MAA on the Private Cloud

Primary Site Secondary Site

Exadata

ActiveData Guard

StandbyDatabase

DB Servers

Web Servers

Middle Tiers

EBS Middle Tiers

PeopleSoft Middle Tiers

Exalogic

EBS DB Instances

Exadata

Exalogic

Siebel Middle Tiers

EBS Middle Tiers

PeopleSoft Middle Tiers

Siebel Middle Tiers

PeopleSoft DB Instances

Siebel DB Instances

EBS DB Instances

PeopleSoft DB Instances

Siebel DB Instances

File SynchronizationzFS Snapshots

Oracle Data Guard

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Consolidation Design Principles

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Consolidation Design Principles

Match HA requirements

Match maintenance windows

Balance the calendar

Leave wiggle room

Consolidate rationally

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Consolidation Design Principles

Cross organizational boundaries?

Same environment?

Potential version incompatibilities?

Common security

requirements? Dev/test with production?

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Consolidation Design Principles

Dev/ Test

Classes of systems

Mission critical

Departmental

Sometimes consolidated

onto DR hardware

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Consolidation Design Principles

Two workloads to be brought into a pool What should we look for, to merge

the processing calendars?

Balancing System Requirements

Util

izat

ion

Time

A

Time

Util

izat

ion B

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Consolidation Design Principles

Existing Workload

Time

Util

izat

ion

Peak

Average The smaller this gap

the better

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Consolidate Rationally – Poor Match

Time

Util

izat

ion Time

Util

izat

ion

Util

izat

ion

Time

New Workload A

B

Existing Workload Peak

Average

Time

Util

izat

ion

Resulting Workload Antagonistic!

Difference between Average & Peak

Increases

Peak

Average

- or -

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Consolidate Rationally – Good Match

Time

Util

izat

ion

Util

izat

ion

Time

New Workload A

B

- or -

Existing Workload

Time U

tiliz

ati

on

Peak Average

Util

izat

ion

Time

Peak

Average

Resulting Workload

Complementary! Difference between

Average & Peak decreases

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Application MAA Best Practices on Oracle Private Cloud

Case Studies – Consolidating Disaster Recovery (DR) with Dev/Test – Using Smart Scans with OLTP – Planned Maintenance Patterns

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Consolidating DR with Dev/Test

MAA best practice: – Mirror your production install in your DR data center, dedicate it to DR, add

reporting and backups at the standby via Active Data Guard – Separate dev/test/QA/performance environments

A common compromise implementation: – Deploy disaster recovery standby databases on the same machines as

dev/test/QA environments – Caveat: it’s still quite useful to have a test machine

Consolidating DR with Dev, Test, QA

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Consolidating DR with Dev/Test

Large manufacturing company Keep database CPU and memory same in production and DR/dev/test

site – Ensures capacity for running production on failover – Provides adequate capacity for dev/test with planning

High performance disk in production, high capacity at DR/dev/test site – High redundancy on all disk groups so can roll in cell upgrades everywhere

Consolidating DR with Dev, Test, QA – Case Study

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Consolidating DR with Dev/Test

Provide required IOPS on failover: – Added storage expansion rack to DR – Created DATA and RECO disk groups for

DR/performance databases Defined these first Placed voting disk in DATA

– Created DATA_TST and RECO_TST disk groups for dev/test databases, using remaining space (up to DBFS).

Consolidating DR with Dev, Test, QA – Case Study

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Using Smart Scans with OLTP

I want to: – Have smart scans and quick OLTP

queries play well together – Take backups that don’t affect user

performance – Make sure my standby MRP

(Managed Recovery Process) keeps up with production

– Have my cake and eat it, too …

Co-mingling OLTP, Smart Scans, Backups, MRP

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Using Smart Scans with OLTP

Goal: Execute smart scans when have capacity, but give small IOs priority so user response time not affected Implement IORM “balanced” or “low latency” objective

– Limit large IOs to 90% (balanced) or 50% (low latency) of capacity – Give small IOs preference if disks are busy – Not necessary to get fancy with splitting out resource allocations

Must map RMAN activity to specific resource to have IORM manage its large IOs

Make Small IOs “King” in Production

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Using Smart Scans with OLTP

Create IORM plan on all the cells, setting the objective to ‘balanced’ – Limits large IOs to 90% capacity, gives small IOs preference if disks busy

Manage backups – Disable the database scheduler windows used by the

DEFAULT_MAINTENANCE_PLAN

Prevents disabling RMAN_THROTTLE database resource plan – Create RMAN_THROTTLE database resource plan and set it as the default. – Create database services managed by clusterware for each database, to

ensure the backup work is executed on each DB node – Write RMAN script to allocate channels to above services

Make Small IOs “King” in Production – Tasks

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Using Smart Scans with OLTP

In addition to the work in the prior slide, alter the IORMPLAN to ensure the standby databases have first priority for system resources, then the test/dev databases

Make Sure MRP Wins at the DR Site

Level 0 Level 1 Level 2 Level 3 Sys: 100%

Prod A, Prod B, role=primary, 100%

Prod A 75%, Prod B 25%, role=standby

“Other” 100%

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Planned Maintenance Patterns

Study the documentation for your upgrade. Plan carefully, test. Stage the file system bits ahead of the maintenance window / do out-

of-place patching where possible Roll OS and Grid Infrastructure upgrades and patches across DB

nodes Roll database patches across RAC nodes, upgrades using transient

Logical Standby Roll IB upgrades across the switches – wait between the switches! Roll cell upgrades

– implement high redundancy if planning to do rolling cell upgrades

General Best Practices for High Availability

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Planned Maintenance Patterns

Application constraints and service level agreements may lead to other approaches:

– It may be impractical to roll upgrades across nodes for some applications, leading to non-rolling upgrade of OS, grid, DB homes

– Other applications may require 100% uptime

Conflicts

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Planned Maintenance Patterns

Switch customer-facing applications to the Data Guard standby Shut down primary frame, do platform upgrades in parallel to reduce

maintenance window for other applications – OS in parallel – Grid: first server alone, all but one server in parallel, last server alone – Database: out of place patching.

Transient logical for upgrades, for customer-facing applications. Switch customer-facing applications back to primary frame Cell and IB switch patching either in parallel during maintenance

window or rolling outside maintenance window

Alternatives – Case Study

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Resources

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Resources OTN HA Portal:

http://www.oracle.com/goto/availability

Maximum Availability Architecture (MAA): http://www.oracle.com/goto/maa

MAA Blogs: http://blogs.oracle.com/maa

Exadata on OTN: http://www.oracle.com/technetwork/database/exadata/index.html

Oracle HA Customer Success Stories on OTN: http://www.oracle.com/technetwork/database/features/ha-casestudies-098033.html

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Resources Oracle E-Business Suite

– Business Continuity using Oracle 11g Physical Standby Database https://support.oracle.com/epmos/faces/ui/km/DocumentDisplay.jspx?id=1070033.1

– E-Business Suite on Exadata http://www.oracle.com/technetwork/database/features/availability/maa-ebs-exadata-197298.pdf

– Patches Required with Oracle Database 11gR2 on Exadata https://support.oracle.com/epmos/faces/ui/km/DocumentDisplay.jspx?id=1392527.1

Oracle PeopleSoft

– MAA Best Practices http://www.oracle.com/technetwork/database/features/availability/maa-peoplesoft-bestpractices-134154.pdf

– Reducing Downtime with a Local Data Guard Standby Database http://www.oracle.com/technetwork/database/features/availability/maa-peoplesoft-local-standby-128609.pdf

– PeopleSoft on Exadata Database Machine http://www.oracle.com/technetwork/database/features/availability/maa-wp-peoplesoft-on-exadata-321604.pdf

Oracle Siebel

– MAA Best Practices http://www.oracle.com/technetwork/database/features/availability/siebelmaa-131211.pdf

– Reducing Downtime with a Local Data Guard Standby Database http://www.oracle.com/technetwork/database/features/availability/maa-wp-siebel-localstandby-1-131425.pdf

– Siebel on Exadata Database Machine http://www.oracle.com/technetwork/database/features/availability/maa-wp-siebel-exadata-177506.pdf

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Resources Exalogic

– Disaster Recovery for Oracle Exalogic Cloud http://www.oracle.com/technetwork/database/availability/maa-exalogic-dr-401789.pdf

– Backup and Recovery Best Practices http://www.oracle.com/technetwork/database/availability/maa-exalogic-dr-401789.pdf

MOS Notes to Track

– Database Machine and Exadata Storage Server 11g Release 2 (11.2) Supported Versions https://support.oracle.com/epmos/faces/ui/km/DocumentDisplay.jspx?id=888828.1

– Exadata Critical Issues https://support.oracle.com/epmos/faces/ui/km/DocumentDisplay.jspx?id=1270094.1

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