SlideShare ist ein Scribd-Unternehmen logo
1 von 59
Downloaden Sie, um offline zu lesen
Unconference:
 Mining the AWR repository for 
Capacity Planning, Visualization, 
    & other real world stuff
Who am I?
• Karl Arao, Oracle ACE, OCP‐DBA, RHCT
• Solutions Architect / Principal Consultant @ SQL*Wizard
• Blog: http://karlarao.wordpress.com
• Wiki: http://karlarao.tiddlyspot.com
What will I talk about?
DBA_HIST_* tables
My first close encounter
gc block lost




http://karlarao.wordpress.com/2009/06/07/diagnosing-and-resolving-gc-block-lost
Utilization = Requirement / Capacity
Double Y Axis Graph
AWR Scripts
Visualization
Can’t go back in time?
AAS – Average Active Sessions
Kyle Hailey: http://www.perfvision.com/ftp/emea_2010_may/02_AAS.ppt




       Max CPU




    Max CPU
AAS – the Golden Metric
AAS & CPU count as a yardstick for a possible performance problem (I suggest reading Kyle's 
   stuff about this):

  if AAS < 1 
    ‐‐ Database is not blocked
  AAS ~= 0 
    ‐‐ Database basically idle
    ‐‐ Problems are in the APP not DB
  AAS < # of CPUs
    ‐‐ CPU available
    ‐‐ Database is probably not blocked
    ‐‐ Are any single sessions 100% active?
  AAS > # of CPUs
    ‐‐ Could have performance problems
  AAS >> # of CPUS
    ‐‐ There is a bottleneck
awr_topevents.sql
Textual trends
AAS throughout the AWR retention 
                    period!




http://karlarao.wordpress.com/2010/07/25/graphing-the-aas-with-perfsheet-a-la-enterprise-manager
Capacity Planning
awr_genwl.sql
http://karlarao.wordpress.com/2010/01/31/workload-characterization-using-dba_hist-tables-and-ksar
U = R / C
where aas > 1
Filter the data points
•   AAS range
           aas > 1

•   Per SNAP_ID or range of SNAP_IDs
           id in (336)
           where id >= 336 and  id <= 340

•   Oracle CPU Utilization
           oracpupct > 50

•   OS CPU Utilization
          oscpupct > 50

•   Workload periods

AND TO_CHAR(s0.END_INTERVAL_TIME,'D') >= 1     ‐‐ Day of week: 1=Sunday 7=Saturday
AND TO_CHAR(s0.END_INTERVAL_TIME,'D') <= 7
AND TO_CHAR(s0.END_INTERVAL_TIME,'HH24MI') >= 0900     ‐‐ Hour
AND TO_CHAR(s0.END_INTERVAL_TIME,'HH24MI') <= 1800
AND s0.END_INTERVAL_TIME >= TO_DATE('2010‐jan‐17 00:00:00','yyyy‐mon‐dd hh24:mi:ss')    ‐‐ Data range
AND s0.END_INTERVAL_TIME <= TO_DATE('2010‐aug‐22 23:59:59','yyyy‐mon‐dd hh24:mi:ss‘)
core need = # of cores * utilization * 1.25
                              Database Consolidation Best Practices
    http://husnusensoy.files.wordpress.com/2010/05/database‐consolidation‐best‐practices.pdf
Total disk IOPS = (IOPS * Read Ratio) + (IOPS * Write Ratio * RAID penalty)
Number of disk = Total disk IOPS / IOPS per disk
Average latency issue

60 minutes interval   10 minutes interval
latency (ms) = (readtim / phy reads) * 10
Straight line graph: Slope‐Intercept Form
                 y = mx + b
AAS vs. CPU% utilization
http://karlarao.tiddlyspot.com/#r2project
“oracpupct” column also has a good linear fit. Since the 
server’s load is CPU centric (see top r2 stats from .92 and 
                  above), why not use it? 

    AAS(y) against CPU% Utilization(x) will be more 
meaningful/readable instead of “CPU used by this session”
AAS vs. CPU% utilization
http://karlarao.tiddlyspot.com/#r2project
Drilling down on the peak workload... 
            with AAS of 10
AAS vs. CPU% utilization
http://karlarao.tiddlyspot.com/#r2project
Now on the low workload period... 
        with AAS of 2.2
AAS vs. CPU% utilization
http://karlarao.tiddlyspot.com/#r2project
Conclusion
References and Tools
•   http://karlarao.wordpress.com
     – http://karlarao.tiddlyspot.com/#%5B%5BStorage%20IOPS%2Ccapacity%2Cperformance
       %2Ccost%5D%5D
     – http://karlarao.tiddlyspot.com/#Statistics
     – http://karlarao.tiddlyspot.com/#OraclePerformance
•   Tanel Poder @ http://blog.tanelpoder.com
     – http://www.tanelpoder.com/files/TPT_public.zip
     – http://www.tanelpoder.com/files/PerfSheet.zip
     – Neil Gunther & Tanel Poder ‐ Multidimensional Visualization of Oracle Performance 
       using Barry007 http://arxiv.org/pdf/0809.2532
•   Kyle Hailey @ http://ashmasters.com , http://www.perfvision.com
•   Craig Shallahamer @ orapub.com
     – Introduction To Oracle Server Consolidation
     http://resources.orapub.com/product_p/server_consolidation_ppt.htm
•   Husnu Sensoy @ husnusensoy.wordpress.com
     – Database Consolidation Best Practices
     http://husnusensoy.files.wordpress.com/2010/05/database‐consolidation‐best‐
        practices.pdf
•   Andy Rivenes @ http://www.appsdba.com/pubs.htm
•   Neeraj Bhatia @ www.nioug.org/files/Linear_Regression.pdf
Contact me through:

  karao@sqlwizard.com

Weitere ähnliche Inhalte

Was ist angesagt?

Awr1page - Sanity checking time instrumentation in AWR reports
Awr1page - Sanity checking time instrumentation in AWR reportsAwr1page - Sanity checking time instrumentation in AWR reports
Awr1page - Sanity checking time instrumentation in AWR reportsJohn Beresniewicz
 
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark ApplicationsTop 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark ApplicationsCloudera, Inc.
 
Top 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationsTop 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationshadooparchbook
 
Monitoring Spark Applications
Monitoring Spark ApplicationsMonitoring Spark Applications
Monitoring Spark ApplicationsTzach Zohar
 
Whitepaper: Where did my CPU go?
Whitepaper: Where did my CPU go?Whitepaper: Where did my CPU go?
Whitepaper: Where did my CPU go?Kristofferson A
 
Top 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationsTop 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationshadooparchbook
 
700 Updatable Queries Per Second: Spark as a Real-Time Web Service
700 Updatable Queries Per Second: Spark as a Real-Time Web Service700 Updatable Queries Per Second: Spark as a Real-Time Web Service
700 Updatable Queries Per Second: Spark as a Real-Time Web ServiceEvan Chan
 
Beyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden KarauBeyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden KarauSpark Summit
 
Understanding Memory Management In Spark For Fun And Profit
Understanding Memory Management In Spark For Fun And ProfitUnderstanding Memory Management In Spark For Fun And Profit
Understanding Memory Management In Spark For Fun And ProfitSpark Summit
 
Whitepaper: Mining the AWR repository for Capacity Planning and Visualization
Whitepaper: Mining the AWR repository for Capacity Planning and VisualizationWhitepaper: Mining the AWR repository for Capacity Planning and Visualization
Whitepaper: Mining the AWR repository for Capacity Planning and VisualizationKristofferson A
 
Spark Summit EU talk by Ted Malaska
Spark Summit EU talk by Ted MalaskaSpark Summit EU talk by Ted Malaska
Spark Summit EU talk by Ted MalaskaSpark Summit
 
Spark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting GuideSpark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting GuideIBM
 
How to find and fix your Oracle application performance problem
How to find and fix your Oracle application performance problemHow to find and fix your Oracle application performance problem
How to find and fix your Oracle application performance problemCary Millsap
 
Average Active Sessions RMOUG2007
Average Active Sessions RMOUG2007Average Active Sessions RMOUG2007
Average Active Sessions RMOUG2007John Beresniewicz
 
DataSource V2 and Cassandra – A Whole New World
DataSource V2 and Cassandra – A Whole New WorldDataSource V2 and Cassandra – A Whole New World
DataSource V2 and Cassandra – A Whole New WorldDatabricks
 
Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...
Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...
Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...DataStax
 
Spark Summit EU talk by Steve Loughran
Spark Summit EU talk by Steve LoughranSpark Summit EU talk by Steve Loughran
Spark Summit EU talk by Steve LoughranSpark Summit
 
Spark 1.6 vs Spark 2.0
Spark 1.6 vs Spark 2.0Spark 1.6 vs Spark 2.0
Spark 1.6 vs Spark 2.0Sigmoid
 

Was ist angesagt? (20)

Intro to ASH
Intro to ASHIntro to ASH
Intro to ASH
 
Awr1page - Sanity checking time instrumentation in AWR reports
Awr1page - Sanity checking time instrumentation in AWR reportsAwr1page - Sanity checking time instrumentation in AWR reports
Awr1page - Sanity checking time instrumentation in AWR reports
 
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark ApplicationsTop 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
 
Top 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationsTop 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applications
 
Monitoring Spark Applications
Monitoring Spark ApplicationsMonitoring Spark Applications
Monitoring Spark Applications
 
Whitepaper: Where did my CPU go?
Whitepaper: Where did my CPU go?Whitepaper: Where did my CPU go?
Whitepaper: Where did my CPU go?
 
Top 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applicationsTop 5 mistakes when writing Spark applications
Top 5 mistakes when writing Spark applications
 
700 Updatable Queries Per Second: Spark as a Real-Time Web Service
700 Updatable Queries Per Second: Spark as a Real-Time Web Service700 Updatable Queries Per Second: Spark as a Real-Time Web Service
700 Updatable Queries Per Second: Spark as a Real-Time Web Service
 
Beyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden KarauBeyond Parallelize and Collect by Holden Karau
Beyond Parallelize and Collect by Holden Karau
 
Understanding Memory Management In Spark For Fun And Profit
Understanding Memory Management In Spark For Fun And ProfitUnderstanding Memory Management In Spark For Fun And Profit
Understanding Memory Management In Spark For Fun And Profit
 
Whitepaper: Mining the AWR repository for Capacity Planning and Visualization
Whitepaper: Mining the AWR repository for Capacity Planning and VisualizationWhitepaper: Mining the AWR repository for Capacity Planning and Visualization
Whitepaper: Mining the AWR repository for Capacity Planning and Visualization
 
Awr1page OTW2018
Awr1page OTW2018Awr1page OTW2018
Awr1page OTW2018
 
Spark Summit EU talk by Ted Malaska
Spark Summit EU talk by Ted MalaskaSpark Summit EU talk by Ted Malaska
Spark Summit EU talk by Ted Malaska
 
Spark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting GuideSpark 2.x Troubleshooting Guide
Spark 2.x Troubleshooting Guide
 
How to find and fix your Oracle application performance problem
How to find and fix your Oracle application performance problemHow to find and fix your Oracle application performance problem
How to find and fix your Oracle application performance problem
 
Average Active Sessions RMOUG2007
Average Active Sessions RMOUG2007Average Active Sessions RMOUG2007
Average Active Sessions RMOUG2007
 
DataSource V2 and Cassandra – A Whole New World
DataSource V2 and Cassandra – A Whole New WorldDataSource V2 and Cassandra – A Whole New World
DataSource V2 and Cassandra – A Whole New World
 
Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...
Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...
Cassandra Exports as a Trivially Parallelizable Problem (Emilio Del Tessandor...
 
Spark Summit EU talk by Steve Loughran
Spark Summit EU talk by Steve LoughranSpark Summit EU talk by Steve Loughran
Spark Summit EU talk by Steve Loughran
 
Spark 1.6 vs Spark 2.0
Spark 1.6 vs Spark 2.0Spark 1.6 vs Spark 2.0
Spark 1.6 vs Spark 2.0
 

Ähnlich wie OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visualization, & other real world stuff

Oracle Database : Addressing a performance issue the drilldown approach
Oracle Database : Addressing a performance issue the drilldown approachOracle Database : Addressing a performance issue the drilldown approach
Oracle Database : Addressing a performance issue the drilldown approachLaurent Leturgez
 
Analyze database system using a 3 d method
Analyze database system using a 3 d methodAnalyze database system using a 3 d method
Analyze database system using a 3 d methodAjith Narayanan
 
OTN tour 2015 AWR data mining
OTN tour 2015 AWR data miningOTN tour 2015 AWR data mining
OTN tour 2015 AWR data miningAndrejs Vorobjovs
 
AWR DB performance Data Mining - Collaborate 2015
AWR DB performance Data Mining - Collaborate 2015AWR DB performance Data Mining - Collaborate 2015
AWR DB performance Data Mining - Collaborate 2015Yury Velikanov
 
Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov...
 Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov... Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov...
Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov...Databricks
 
Performance Optimization of Rails Applications
Performance Optimization of Rails ApplicationsPerformance Optimization of Rails Applications
Performance Optimization of Rails ApplicationsSerge Smetana
 
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentalsDB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentalsJohn Beresniewicz
 
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)Amazon Web Services Korea
 
Operational Tips For Deploying Apache Spark
Operational Tips For Deploying Apache SparkOperational Tips For Deploying Apache Spark
Operational Tips For Deploying Apache SparkDatabricks
 
Quick trip around the Cosmos - Things every astronaut supposed to know
Quick trip around the Cosmos - Things every astronaut supposed to knowQuick trip around the Cosmos - Things every astronaut supposed to know
Quick trip around the Cosmos - Things every astronaut supposed to knowRafał Hryniewski
 
Amazon Athena (April 2017)
Amazon Athena (April 2017)Amazon Athena (April 2017)
Amazon Athena (April 2017)Julien SIMON
 
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...Databricks
 
200603ash.pdf Performance Tuning Oracle DB
200603ash.pdf Performance Tuning Oracle DB200603ash.pdf Performance Tuning Oracle DB
200603ash.pdf Performance Tuning Oracle DBcookie1969
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupRafal Kwasny
 
Spark Sql for Training
Spark Sql for TrainingSpark Sql for Training
Spark Sql for TrainingBryan Yang
 

Ähnlich wie OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visualization, & other real world stuff (20)

Oracle Database : Addressing a performance issue the drilldown approach
Oracle Database : Addressing a performance issue the drilldown approachOracle Database : Addressing a performance issue the drilldown approach
Oracle Database : Addressing a performance issue the drilldown approach
 
Analyze database system using a 3 d method
Analyze database system using a 3 d methodAnalyze database system using a 3 d method
Analyze database system using a 3 d method
 
OTN tour 2015 AWR data mining
OTN tour 2015 AWR data miningOTN tour 2015 AWR data mining
OTN tour 2015 AWR data mining
 
AWR DB performance Data Mining - Collaborate 2015
AWR DB performance Data Mining - Collaborate 2015AWR DB performance Data Mining - Collaborate 2015
AWR DB performance Data Mining - Collaborate 2015
 
ASH and AWR on DB12c
ASH and AWR on DB12cASH and AWR on DB12c
ASH and AWR on DB12c
 
Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov...
 Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov... Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov...
Apache Spark for RDBMS Practitioners: How I Learned to Stop Worrying and Lov...
 
Performance Optimization of Rails Applications
Performance Optimization of Rails ApplicationsPerformance Optimization of Rails Applications
Performance Optimization of Rails Applications
 
Os Gopal
Os GopalOs Gopal
Os Gopal
 
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentalsDB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals
 
Awr doag
Awr doagAwr doag
Awr doag
 
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
AWS Batch를 통한 손쉬운 일괄 처리 작업 관리하기 - 윤석찬 (AWS 테크에반젤리스트)
 
Operational Tips For Deploying Apache Spark
Operational Tips For Deploying Apache SparkOperational Tips For Deploying Apache Spark
Operational Tips For Deploying Apache Spark
 
Quick trip around the Cosmos - Things every astronaut supposed to know
Quick trip around the Cosmos - Things every astronaut supposed to knowQuick trip around the Cosmos - Things every astronaut supposed to know
Quick trip around the Cosmos - Things every astronaut supposed to know
 
Amazon Athena (April 2017)
Amazon Athena (April 2017)Amazon Athena (April 2017)
Amazon Athena (April 2017)
 
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...
Accelerating Spark SQL Workloads to 50X Performance with Apache Arrow-Based F...
 
Ashawr perf kscope
Ashawr perf kscopeAshawr perf kscope
Ashawr perf kscope
 
200603ash.pdf Performance Tuning Oracle DB
200603ash.pdf Performance Tuning Oracle DB200603ash.pdf Performance Tuning Oracle DB
200603ash.pdf Performance Tuning Oracle DB
 
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetupETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
 
Rmoug ashmaster
Rmoug ashmasterRmoug ashmaster
Rmoug ashmaster
 
Spark Sql for Training
Spark Sql for TrainingSpark Sql for Training
Spark Sql for Training
 

Mehr von Kristofferson A

RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)
RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)
RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)Kristofferson A
 
The Database Sizing Workflow
The Database Sizing WorkflowThe Database Sizing Workflow
The Database Sizing WorkflowKristofferson A
 
RedGateWebinar - Where did my CPU go?
RedGateWebinar - Where did my CPU go?RedGateWebinar - Where did my CPU go?
RedGateWebinar - Where did my CPU go?Kristofferson A
 
OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...
OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...
OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...Kristofferson A
 
OOW 2013: Where did my CPU go
OOW 2013: Where did my CPU goOOW 2013: Where did my CPU go
OOW 2013: Where did my CPU goKristofferson A
 
Whitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success StoryWhitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success StoryKristofferson A
 
KSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKristofferson A
 
RMOUG 2013 - Where did my CPU go?
RMOUG 2013 - Where did my CPU go?RMOUG 2013 - Where did my CPU go?
RMOUG 2013 - Where did my CPU go?Kristofferson A
 
RMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWRRMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWRKristofferson A
 
Performance Scenario: Diagnosing and resolving sudden slow down on two node RAC
Performance Scenario: Diagnosing and resolving sudden slow down on two node RACPerformance Scenario: Diagnosing and resolving sudden slow down on two node RAC
Performance Scenario: Diagnosing and resolving sudden slow down on two node RACKristofferson A
 

Mehr von Kristofferson A (11)

RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)
RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)
RMOUG2016 - Resource Management (the critical piece of the consolidation puzzle)
 
The Database Sizing Workflow
The Database Sizing WorkflowThe Database Sizing Workflow
The Database Sizing Workflow
 
RedGateWebinar - Where did my CPU go?
RedGateWebinar - Where did my CPU go?RedGateWebinar - Where did my CPU go?
RedGateWebinar - Where did my CPU go?
 
OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...
OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...
OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Writ...
 
OOW 2013: Where did my CPU go
OOW 2013: Where did my CPU goOOW 2013: Where did my CPU go
OOW 2013: Where did my CPU go
 
Whitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success StoryWhitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success Story
 
KSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success Story
 
RMOUG 2013 - Where did my CPU go?
RMOUG 2013 - Where did my CPU go?RMOUG 2013 - Where did my CPU go?
RMOUG 2013 - Where did my CPU go?
 
RMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWRRMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWR
 
Performance Scenario: Diagnosing and resolving sudden slow down on two node RAC
Performance Scenario: Diagnosing and resolving sudden slow down on two node RACPerformance Scenario: Diagnosing and resolving sudden slow down on two node RAC
Performance Scenario: Diagnosing and resolving sudden slow down on two node RAC
 
Devcon: Virtualization?
Devcon: Virtualization?Devcon: Virtualization?
Devcon: Virtualization?
 

Kürzlich hochgeladen

Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 

Kürzlich hochgeladen (20)

Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 

OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visualization, & other real world stuff