SlideShare a Scribd company logo
1 of 31
Ultimate Exadata IO monitoring
Flash, HardDisk , & Write back cache
overhead
Presented by:
Karl Arao
1
whoami
Karl Arao
• Senior Technical Consultant @ Enkitec
• Performance and Capacity Planning Enthusiast
7 years DBA experience
Oracle ACE, OCP-DBA, RHCE, OakTable
Blog: karlarao.wordpress.com
Wiki: karlarao.tiddlyspot.com
Twitter: @karlarao
www.enkitec.com 2
www.enkitec.com 3
200+
3
Booth #501
Moscone
South
Agenda
• Performance scenario
• WBFC
• Different ways to Monitoring IO
• AWR IO data
• Correlate up to the workload and sqlstats data – feedback loop
• Cell data - cell_iops.sh
• Scaling it!
www.enkitec.com 4
www.enkitec.com 5
The workload
www.enkitec.com 6
Performance page
www.enkitec.com 7
OEM12c storage grid perf
www.enkitec.com 8
WBFC
www.enkitec.com 9
http://goo.gl/2WCmw
www.enkitec.com 10
Write-Through Write-Back
www.enkitec.com 11
www.enkitec.com 12
www.enkitec.com 13
www.enkitec.com 14
Tableau demo on
AWR IOPS and Workload data
www.enkitec.com 15
Different views of IO performance with AWR data
http://goo.gl/i660CZ
SECTION 1: USER IO wait class and cell single block reads latency with curve fitting
SECTION 2: Small IOPS vs Large IOPS
SECTION 3: Flash vs HD IOPS
SECTION 4: Flash vs HD IOPS with read/write breakdown
SECTION 5: IO throughput read/write MB/s
SECTION 6: Drill down on smart scans affecting cell single block latency on 24hour
period
www.enkitec.com 16
www.enkitec.com 17
Measuring the effect of IORM on latency
www.enkitec.com 18
www.enkitec.com 19
IORM BASIC IORM AUTO IORM
LOW
LATENCY
Tableau demo on
Cell data - cell_iops.sh
www.enkitec.com 20
www.enkitec.com 21
How do you scale?
www.enkitec.com 22
Metric Extensions + BIP
www.enkitec.com 23
www.enkitec.com 24
DB and CELL IOPS/MBs comparison:
1)Create metric extensions for DB and CELL
2)Create the model
3)Graph it in Tableau and BIP
4)Schedule the email of final reports/visualization
www.enkitec.com 25
www.enkitec.com 26
Reference band for HardDisk IOPS capacity
Check the _OTHER_DATABASE_ IOPS and compare with AWR and CELL
numbers for WBFC destage & flash cache metadata operations overhead
www.enkitec.com 27
Workload AAS by day per node
www.enkitec.com 28
Summary
• WBFC
• Different ways to Monitoring IO
• AWR IO data
• Correlate up to the workload and sqlstats data – feedback loop
• Cell data - cell_iops.sh
• Scaling it with Metric Extensions and BIP
www.enkitec.com 29
References
• WBFC patent http://goo.gl/2WCmw
• AWR scripts and cell_iops.sh
http://karlarao.wordpress.com/scripts-resources/
• SQL Developer ready AWR scripts http://goo.gl/ocv5b
• Different views of IO performance with AWR data http://goo.gl/i660CZ
www.enkitec.com 30
Questions?
karlarao.wordpress.com
karlarao.tiddlyspot.com
@karlarao
www.enkitec.com 31
karl.arao@enkitec.com

More Related Content

What's hot

Building a Distributed Data Streaming Architecture for Modern Hardware with S...
Building a Distributed Data Streaming Architecture for Modern Hardware with S...Building a Distributed Data Streaming Architecture for Modern Hardware with S...
Building a Distributed Data Streaming Architecture for Modern Hardware with S...ScyllaDB
 
Developing Scylla Applications: Practical Tips
Developing Scylla Applications: Practical TipsDeveloping Scylla Applications: Practical Tips
Developing Scylla Applications: Practical TipsScyllaDB
 
Aerospike: Maximizing Performance
Aerospike: Maximizing PerformanceAerospike: Maximizing Performance
Aerospike: Maximizing PerformanceAerospike, Inc.
 
A Consolidation Success Story by Karl Arao
A Consolidation Success Story by Karl AraoA Consolidation Success Story by Karl Arao
A Consolidation Success Story by Karl AraoEnkitec
 
Red Hat Summit 2017: Wicked Fast PaaS: Performance Tuning of OpenShift and D...
Red Hat Summit 2017:  Wicked Fast PaaS: Performance Tuning of OpenShift and D...Red Hat Summit 2017:  Wicked Fast PaaS: Performance Tuning of OpenShift and D...
Red Hat Summit 2017: Wicked Fast PaaS: Performance Tuning of OpenShift and D...Jeremy Eder
 
Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...
Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...
Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...Accumulo Summit
 
High Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouseHigh Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouseAltinity Ltd
 
ClickHouse Introduction, by Alexander Zaitsev, Altinity CTO
ClickHouse Introduction, by Alexander Zaitsev, Altinity CTOClickHouse Introduction, by Alexander Zaitsev, Altinity CTO
ClickHouse Introduction, by Alexander Zaitsev, Altinity CTOAltinity Ltd
 
Elephants in the Cloud
Elephants in the CloudElephants in the Cloud
Elephants in the CloudMike Fowler
 
ClickHouse Mark Cache, by Mik Kocikowski, Cloudflare
ClickHouse Mark Cache, by Mik Kocikowski, CloudflareClickHouse Mark Cache, by Mik Kocikowski, Cloudflare
ClickHouse Mark Cache, by Mik Kocikowski, CloudflareAltinity Ltd
 
KubeCon NA, Seattle, 2016: Performance and Scalability Tuning Kubernetes for...
KubeCon NA, Seattle, 2016:  Performance and Scalability Tuning Kubernetes for...KubeCon NA, Seattle, 2016:  Performance and Scalability Tuning Kubernetes for...
KubeCon NA, Seattle, 2016: Performance and Scalability Tuning Kubernetes for...Jeremy Eder
 
Performance Evaluation of Cloudera Impala GA
Performance Evaluation of Cloudera Impala GAPerformance Evaluation of Cloudera Impala GA
Performance Evaluation of Cloudera Impala GAYukinori Suda
 
PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...
PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...
PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...Equnix Business Solutions
 
Aerospike Architecture
Aerospike ArchitectureAerospike Architecture
Aerospike ArchitecturePeter Milne
 
Webinar slides: An Introduction to Performance Monitoring for PostgreSQL
Webinar slides: An Introduction to Performance Monitoring for PostgreSQLWebinar slides: An Introduction to Performance Monitoring for PostgreSQL
Webinar slides: An Introduction to Performance Monitoring for PostgreSQLSeveralnines
 
Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016
Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016
Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016DataStax
 
Lookout on Scaling Security to 100 Million Devices
Lookout on Scaling Security to 100 Million DevicesLookout on Scaling Security to 100 Million Devices
Lookout on Scaling Security to 100 Million DevicesScyllaDB
 
Free & Open DynamoDB API for Everyone
Free & Open DynamoDB API for EveryoneFree & Open DynamoDB API for Everyone
Free & Open DynamoDB API for EveryoneScyllaDB
 

What's hot (20)

Building a Distributed Data Streaming Architecture for Modern Hardware with S...
Building a Distributed Data Streaming Architecture for Modern Hardware with S...Building a Distributed Data Streaming Architecture for Modern Hardware with S...
Building a Distributed Data Streaming Architecture for Modern Hardware with S...
 
Developing Scylla Applications: Practical Tips
Developing Scylla Applications: Practical TipsDeveloping Scylla Applications: Practical Tips
Developing Scylla Applications: Practical Tips
 
Aerospike: Maximizing Performance
Aerospike: Maximizing PerformanceAerospike: Maximizing Performance
Aerospike: Maximizing Performance
 
A Consolidation Success Story by Karl Arao
A Consolidation Success Story by Karl AraoA Consolidation Success Story by Karl Arao
A Consolidation Success Story by Karl Arao
 
Red Hat Summit 2017: Wicked Fast PaaS: Performance Tuning of OpenShift and D...
Red Hat Summit 2017:  Wicked Fast PaaS: Performance Tuning of OpenShift and D...Red Hat Summit 2017:  Wicked Fast PaaS: Performance Tuning of OpenShift and D...
Red Hat Summit 2017: Wicked Fast PaaS: Performance Tuning of OpenShift and D...
 
Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...
Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...
Accumulo Summit 2015: Performance Models for Apache Accumulo: The Heavy Tail ...
 
Red Hat Storage Roadmap
Red Hat Storage RoadmapRed Hat Storage Roadmap
Red Hat Storage Roadmap
 
High Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouseHigh Performance, High Reliability Data Loading on ClickHouse
High Performance, High Reliability Data Loading on ClickHouse
 
ClickHouse Introduction, by Alexander Zaitsev, Altinity CTO
ClickHouse Introduction, by Alexander Zaitsev, Altinity CTOClickHouse Introduction, by Alexander Zaitsev, Altinity CTO
ClickHouse Introduction, by Alexander Zaitsev, Altinity CTO
 
Elephants in the Cloud
Elephants in the CloudElephants in the Cloud
Elephants in the Cloud
 
Summit supercomputer
Summit supercomputerSummit supercomputer
Summit supercomputer
 
ClickHouse Mark Cache, by Mik Kocikowski, Cloudflare
ClickHouse Mark Cache, by Mik Kocikowski, CloudflareClickHouse Mark Cache, by Mik Kocikowski, Cloudflare
ClickHouse Mark Cache, by Mik Kocikowski, Cloudflare
 
KubeCon NA, Seattle, 2016: Performance and Scalability Tuning Kubernetes for...
KubeCon NA, Seattle, 2016:  Performance and Scalability Tuning Kubernetes for...KubeCon NA, Seattle, 2016:  Performance and Scalability Tuning Kubernetes for...
KubeCon NA, Seattle, 2016: Performance and Scalability Tuning Kubernetes for...
 
Performance Evaluation of Cloudera Impala GA
Performance Evaluation of Cloudera Impala GAPerformance Evaluation of Cloudera Impala GA
Performance Evaluation of Cloudera Impala GA
 
PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...
PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...
PGConf.ASIA 2019 Bali - Setup a High-Availability and Load Balancing PostgreS...
 
Aerospike Architecture
Aerospike ArchitectureAerospike Architecture
Aerospike Architecture
 
Webinar slides: An Introduction to Performance Monitoring for PostgreSQL
Webinar slides: An Introduction to Performance Monitoring for PostgreSQLWebinar slides: An Introduction to Performance Monitoring for PostgreSQL
Webinar slides: An Introduction to Performance Monitoring for PostgreSQL
 
Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016
Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016
Cassandra @ Yahoo Japan (Satoshi Konno, Yahoo) | Cassandra Summit 2016
 
Lookout on Scaling Security to 100 Million Devices
Lookout on Scaling Security to 100 Million DevicesLookout on Scaling Security to 100 Million Devices
Lookout on Scaling Security to 100 Million Devices
 
Free & Open DynamoDB API for Everyone
Free & Open DynamoDB API for EveryoneFree & Open DynamoDB API for Everyone
Free & Open DynamoDB API for Everyone
 

Similar to OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Write back cache overhead

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
 
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
 
Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...
Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...
Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...ScyllaDB
 
Where Did My CPU Go?
Where Did My CPU Go?Where Did My CPU Go?
Where Did My CPU Go?Enkitec
 
Rmoug13 - where did my CPU go?
Rmoug13 - where did my CPU go?Rmoug13 - where did my CPU go?
Rmoug13 - where did my CPU go?Enkitec
 
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
 
Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021
Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021
Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021StreamNative
 
SVC / Storwize analysis cost effective storage planning (use case)
SVC / Storwize analysis cost effective storage planning (use case)SVC / Storwize analysis cost effective storage planning (use case)
SVC / Storwize analysis cost effective storage planning (use case)Michael Pirker
 
OpenEBS hangout #4
OpenEBS hangout #4OpenEBS hangout #4
OpenEBS hangout #4OpenEBS
 
Where Did My Cpu Go?
Where Did My Cpu Go?Where Did My Cpu Go?
Where Did My Cpu Go?Enkitec
 
VMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPS
VMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPSVMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPS
VMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPSVMworld
 
The new repository in AEM 6
The new repository in AEM 6The new repository in AEM 6
The new repository in AEM 6Jukka Zitting
 
Circonus: Design failures - A Case Study
Circonus: Design failures - A Case StudyCirconus: Design failures - A Case Study
Circonus: Design failures - A Case StudyHeinrich Hartmann
 
Monitoring Docker with ELK
Monitoring Docker with ELKMonitoring Docker with ELK
Monitoring Docker with ELKDaniel Berman
 
Testing Persistent Storage Performance in Kubernetes with Sherlock
Testing Persistent Storage Performance in Kubernetes with SherlockTesting Persistent Storage Performance in Kubernetes with Sherlock
Testing Persistent Storage Performance in Kubernetes with SherlockScyllaDB
 
Terraform 101: What's infrastructure as code?
Terraform 101: What's infrastructure as code?Terraform 101: What's infrastructure as code?
Terraform 101: What's infrastructure as code?GDX Wu
 
[SSA] 03.newsql database (2014.02.05)
[SSA] 03.newsql database (2014.02.05)[SSA] 03.newsql database (2014.02.05)
[SSA] 03.newsql database (2014.02.05)Steve Min
 
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at DatabricksLessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at DatabricksDatabricks
 
Building Papers
Building PapersBuilding Papers
Building PapersMahmoud
 

Similar to OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Write back cache overhead (20)

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
 
RedGateWebinar - Where did my CPU go?
RedGateWebinar - Where did my CPU go?RedGateWebinar - Where did my CPU go?
RedGateWebinar - Where did my CPU go?
 
Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...
Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...
Scylla Summit 2018: Make Scylla Fast Again! Find out how using Tools, Talent,...
 
Where Did My CPU Go?
Where Did My CPU Go?Where Did My CPU Go?
Where Did My CPU Go?
 
Rmoug13 - where did my CPU go?
Rmoug13 - where did my CPU go?Rmoug13 - where did my CPU go?
Rmoug13 - 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 2013 - Where did my CPU go?
 
Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021
Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021
Select Star: Flink SQL for Pulsar Folks - Pulsar Summit NA 2021
 
SVC / Storwize analysis cost effective storage planning (use case)
SVC / Storwize analysis cost effective storage planning (use case)SVC / Storwize analysis cost effective storage planning (use case)
SVC / Storwize analysis cost effective storage planning (use case)
 
OpenEBS hangout #4
OpenEBS hangout #4OpenEBS hangout #4
OpenEBS hangout #4
 
Where Did My Cpu Go?
Where Did My Cpu Go?Where Did My Cpu Go?
Where Did My Cpu Go?
 
VMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPS
VMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPSVMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPS
VMworld 2013: Virtualizing Mission Critical Oracle RAC with vSphere and vCOPS
 
The new repository in AEM 6
The new repository in AEM 6The new repository in AEM 6
The new repository in AEM 6
 
Circonus: Design failures - A Case Study
Circonus: Design failures - A Case StudyCirconus: Design failures - A Case Study
Circonus: Design failures - A Case Study
 
Monitoring Docker with ELK
Monitoring Docker with ELKMonitoring Docker with ELK
Monitoring Docker with ELK
 
Testing Persistent Storage Performance in Kubernetes with Sherlock
Testing Persistent Storage Performance in Kubernetes with SherlockTesting Persistent Storage Performance in Kubernetes with Sherlock
Testing Persistent Storage Performance in Kubernetes with Sherlock
 
Terraform 101: What's infrastructure as code?
Terraform 101: What's infrastructure as code?Terraform 101: What's infrastructure as code?
Terraform 101: What's infrastructure as code?
 
[SSA] 03.newsql database (2014.02.05)
[SSA] 03.newsql database (2014.02.05)[SSA] 03.newsql database (2014.02.05)
[SSA] 03.newsql database (2014.02.05)
 
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at DatabricksLessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks
Lessons from Building Large-Scale, Multi-Cloud, SaaS Software at Databricks
 
Building Papers
Building PapersBuilding Papers
Building Papers
 
Flashback in OCI
Flashback in OCIFlashback in OCI
Flashback in OCI
 

More from 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
 
Whitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success StoryWhitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success StoryKristofferson A
 
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
 
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
 
RMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWRRMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWRKristofferson A
 
VirtaThon 2011 - Mining the AWR
VirtaThon 2011 - Mining the AWRVirtaThon 2011 - Mining the AWR
VirtaThon 2011 - Mining the AWRKristofferson A
 
Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...
Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...
Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...Kristofferson 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
 
OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...
OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...
OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...Kristofferson A
 

More from Kristofferson A (10)

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)
 
Whitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success StoryWhitepaper: Exadata Consolidation Success Story
Whitepaper: Exadata Consolidation Success Story
 
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
 
Whitepaper: Where did my CPU go?
Whitepaper: Where did my CPU go?Whitepaper: Where did my CPU go?
Whitepaper: Where did my CPU go?
 
RMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWRRMOUG 2012 - Mining the AWR
RMOUG 2012 - Mining the AWR
 
VirtaThon 2011 - Mining the AWR
VirtaThon 2011 - Mining the AWRVirtaThon 2011 - Mining the AWR
VirtaThon 2011 - Mining the AWR
 
Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...
Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...
Hotsos 2011: Mining the AWR repository for Capacity Planning, Visualization, ...
 
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?
 
OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...
OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...
OOW Unconference 2010: Mining the AWR repository for Capacity Planning, Visua...
 

Recently uploaded

Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
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
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 

Recently uploaded (20)

Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
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
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 

OakTableWorld 2013: Ultimate Exadata IO monitoring – Flash, HardDisk , & Write back cache overhead

Editor's Notes

  1. Just a brief introduction of myself..