Apouc 2014-enterprise-manager-12c

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• Principle Architect | Oracle Greater China
• Joined Oracle in 2004
• Now Focusing on Database, Security, EM
• Father of 2
• Interested in Photography, Traveling, Movie,
Book
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• http://www.linkedin.com/profile/view?id=17972713

Automate Your DB Lifecycle Mgmt to Respond to the On-
demand Requirements of DBaaS using
Oracle Enterprise Manager 12c
APOUC Leaders’ Meeting 2014 @ Hong Kong
Vincent P. Chan | Principal Architect, Oracle Greater China

Agenda
Oracle Confidential – Internal/Restricted/Highly Restricted 4
• New Architecture Leads to New
Challenges!
• How Does EM12c Help?
• Case Study

IOUG Report Shows that Demands of DBaaS
Increased…
Source: 2012-2013 IOUG Cloud Computing Survey

New Architecture Leads to New
Challenges …
Virtual Machines
Share Servers
Dedicated Databases
Share Servers and
OS
Schema/Pluggable DB
Share Servers, OS
and Database

IOUG Report Shows that the Private Cloud
Challenges are …
Source: 2012-2013 IOUG Cloud Computing Survey

And the Leading Database Administrative
Challenges are …
Source: 2013 IOUG Survey on Database Manageability

So, How Do You Work?

EM12c helps new employees get familiar with our
environment quickly with industry standardized
interface, and helps us offload our workload to
application team.
– Lead DBA, a Global Bank

How Does EM12c Help?
Automate Your Database Lifecycle Management

Oracle EM12c
User Interaction:
WebCenter
Infrastructure as a Service
Oracle Database
Oracle Fusion Middleware
Platform as a Service
Integration:
SOA Suite
Security:
Identity Mgmt
Process Mgmt:
BPM Suite
Oracle Apps3rd Party Apps ISV Apps
Applications and Business Services
Oracle VM for x86
Operating Systems: Oracle Enterprise LinuxOracle LinuxOracle Solaris
Oracle VM for SPARC (LDom)
Solaris Containers
Servers
Storage
Applications and
Business Services
Platform as a Service
Database as a Service
Infrastructure as a
Service
Meter &
Charge
Optimize
Manage
Plan
Setup
Build
Test
Deploy
Monitor
User Interaction:
Web Center

• Create a Database in Minutes with
Dramatically Reduced Storage
• Automate & Track Your Patch Process
• Find Out Regressed SQL from Millions
of Statements to Ensure Database
Performance
• Keep with Standard and Security Best
Practices

Scenarios & Problems to Solve
• 12 TB database in production for an internal
application
• The production DB is running on Exadata, while a
standby database is running on ZFSSA
• Agile development is used for the internal app
with 7 sprints running in parallel
• Each sprint requires a clone of the production DB
• Each sprint lasts for a month, and clones need to
be refreshed monthly as well
Case 1: Telecom Industry
Storage requirements
using traditional cloning
 Prod DB = 12 TB
 Standby DB = 12 TB
 7 Clones (7 * 12 TB)
= 84 TB
------------------
 Total 108 TB
 Time = days/weeks

• 5 production databases total 30 TB of storage
• All 5 production DBs have a standby
• Clones of the production database are required for
data analysis and reporting
• 6 total clones across different teams every quarter
• For security reasons, sensitive data has to be
masked prior to cloning
Case 1: Banking Industry
Storage requirements
using traditional cloning
 5 Prod DB = 30 TB
 5 Standby DB = 30 TB
 5 Masked DB = 30 TB
 6 Clones (6 * 30 TB)
= 180 TB
------------------
 Total 270 TB
 Time = days/weeks

Database-Aware Snap Clone
• Leverage storage level snap clone feature
• Out-of-box self service portal
• Resource quota based on role
• Integrated monitoring, snapshot/rollback, etc

Continuous Replication using:
Golden Gate or Dataguard
Standby Database
[on ZFS Storage Appliance]
Production Database
[Exadata or any commodity hardware]
Snap Clones using Standby
Private backups
(snapshots) for SSA user
Scenario 1: SnapClone Using Standby
DR Database

Discrete Replication using: RMAN
backups, Netapp SnapMirror, etc
Test MasterProduction Database
Masking and Subsetting using EM
Snap Clones using Test Master
Private backups
(snapshots) for SSA user
Benefit:
Massage data before
cloning
Scenario 2: SnapClone Using Test Master
DR Database

Customer Scenarios with Snap Clone
Customer Scenario 1
[Telecom Industry]
 Prod DB = 12 TB
 Standby DB = 12 TB
 7 Clones (7 * 2 GB of writable space)
= 84TB 14 GB
-------------------
 Total 108 ~24 TB
 Time = days/weeks minutes
Customer Scenario 2
[Banking Industry]
 5 Prod DB = 30 TB
 5 Standby DB = 30 TB
 5 Masked DB = 30 TB
 6 Clones (6 * 5 * 2 GB of writable space)
= 180TB 60 GB
---------------------
 Total 270 ~90 TB
 Time = days/weeks minutes

Performance
Practices

Difficult to Identify
Suitable Patches
Time Consuming
For Patching
No Automation Not Predictable
Oracle 10gR2 on
Solaris
Oracle 11gR2 on Linux Oracle 11gR2 with RAC
on Linux
Exadata

Automating DB Infrastructure Patching
Fully Integrated with My Oracle Support
• Proactive advisories, recommendations, and analysis
– One-off patches, patch set updates, and critical patch updates
• Zero downtime for patching
• Integrated patch management & deployment automation
• Patch intelligence and community
• Streamlined conflicts and merge patch process
• Cell patching done through “patchmgr”
Analyze TestPatch ReportProvisionStage

With KM, Bugs Fixed, Trends of Downloads
1) Proactively Recommend Patches

With Multiple Patches to Multiple Targets
2) Mass Deploy to Avoid Time Constraints

By Out of Place Patching
3) Allow Switchback & Reduce Downtime

With Comprehensive Pre-flight Checks
4) Automatically Detect Patch Conflicts

5) Automatically Rollout & Track Patch

Performance
Practices

• Concern on performance
degrading (i.e. SQL regression)
after database changes, i.e.
– DB upgrades
– Database structure changes
– Optimizer statistics refresh
– Patching
• Problems
– Partial workload
– Large workloads (100Ks SQL
statements are common)
– Non-production optimizer context
– Manual and time consuming
regression testing
– SQL performance regression after
production

• Test and predict impact of system changes on SQL query performance
• Analyze performance changes for improvements or regression
• Comprehensive performance analysis and reporting
• Re-execute SQL queries in test environment
• End-to-end solution: STS, SQL Plan Baselines, & SQL Tuning Advisor
RAT: SQL Performance Analyzer (SPA)
SQL Workload
STS
SQL Plans + Stats
Pre-Change Trial
SQL Plans + Stats
Post-Change Trial
Compare SQL
Performance
Analysis Report

Regressed SQL Statements
SPA Report

Consolidation Testing using Real SQL Workload
Consolidated SQL Performance Analyzer
• Validates SQL performance
for consolidated database
• SQL workload captured for
each database in STS
• SPA executes all workloads
together in consolidated
environment
• Identifies SQL regressions
and helps remediate them
• Existing SPA capability in DB
11.1 works for schema
consolidation
• Support for Pluggable DB
consolidation in DB12c
SALES
HR
ERP
CRM
ERP STS
SALES STS
CRM STS
HR STS
SALES
HR
ERP
CRM

Performance
Practices

Time Consuming Totally Reactive Not Scalable No Detail

1) Identify and Track Assets

You can show inventory
summary by type.

And roll up by location,
platform, lifecycle, version,
vendor, LoB, department, or
cost center.

Showing host and roll up by
platform.

Showing host and roll up by
version.

Showing databases and roll
up by version.

With Pre-Configured Templates, Ignore Differences and Notification
2) Track and Remediate Drifts from Standards
You can select/exclude
these pre-configured
template from comparison:
 Instance
 Tablesapces
 Control files
 Redologs
 Rollback Segments
 Users
 Database Options
 Feature Usage
You can ignore the differences.
You can set notification on
differences

2) Track and Remediate Drifts from Standards
with Notification
Database dbm1’s
listener port is 1521,
while dbm2’s listener
port is 1522

With Out-of-the-Box, 400+ Security Practices
3) Adhere to Security Best Practices

With Periodically Scoring
# of Target
Evolutions
# of Violations
Avg Score (%)
Compliance
Standards (i.e.
Best Practices)

With Real Time Dashboard

With Scoring History and Violation History
Avg. Compliance
Score (%)
Avg. Violation
Count Per
Evaluation

Case Study
Automate Your Database Lifecycle Management

Oracle Exadata and Oracle
Enterprise Manager 12c:
Extreme Consolidation in Cloud
Presented in OOW
About HDFC Bank
• Incorporated in
Auguest 1994
• India’s Second
Largest Private
Bank with
• 3,119
Branches
• 11,088 ATMs
& 20 Million
Customers
• Employees:
60,000
• Annual Revenue:
USD 7 Billion

The Challenges
• Average 3 days to provision UAT database for lending segment
• Silo’ed IT environment with average 30% utilization
• Compliance requirement consume testing resources
• SI expenses for provisioning databases manually
• Overhead in managing configuration drift between production and
testing environment
• Rollout impact/delay on new business initiatives
• Challenges in managing exponential growth of data
• Database sprawl over 168 racks of real estate

The Solution: DBaaS

The Result
Plus:
• Effective usage of
infrastructure
leading to better ROI
• Empowered
application team
with self service
• Drastically cut down
on support/SI costs
for DBA activities
• 10x compression
achieved to low
CapEx requirements

1000 % faster Databases
deployment on its enterprise cloud
“Spinning up a database, a process that used to take two
to three weeks, now takes us only 19 minutes,
something like a 1,000% improvement in deployment
time. Accelerating deployment to this degree has
brought us much closer to the customer service levels
our business goals demand.”
Surren Partabh - CTO, BT Operate

PATCH MANAGEMENT
$70 Billion revenue in 2011
75,000 employees
96 million retail customers
FOCUS ON
Automation
Challenge:
• Patch and upgrade large number of
databases with minimal maintenance time
• Regulations require quarterly patching for
compliance management & reporting
• Mandatory to apply PSU to over 520
databases 2 time a year
• Inventory tracking and deploying changes to
non-production databases was difficult
• During patching periods, DBAs worked extra
hours on nights & weekends
After Oracle Enterprise Manager:
• Patching process is now automated
• 4 times reduction in man hours for patching
resulting in approx 67% savings in productivity
• Application team can track changes across
non-production and production environments
resulting in no impact to development work
providing more time for coding & testing
• DBA team now focused on database
availability, scalability & performance
• IT runs like a business and adds value
Case Study

Summary

EM12c Helps You to Address These
Challenges

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Safe Harbor Statement
The preceding 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 decisions. The development, release, and
timing of any features or functionality described for Oracle’s
products remains at the sole discretion of Oracle.

Apouc 2014-enterprise-manager-12c

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