�ݺ�ߣshows by User: jberesni

�ݺ�ߣshows by User: jberesni / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: jberesni / Wed, 19 Feb 2020 20:37:36 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: jberesni DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals /jberesni/db-time-average-active-sessions-and-ash-math-oracle-performance-fundamentals-228654679 dbtimeashmathrmoug2020-200219203736
RMOUG 2020 abstract: This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager.]]>
RMOUG 2020 abstract: This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager.]]> Wed, 19 Feb 2020 20:37:36 GMT /jberesni/db-time-average-active-sessions-and-ash-math-oracle-performance-fundamentals-228654679 jberesni@slideshare.net(jberesni) DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals jberesni RMOUG 2020 abstract: This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dbtimeashmathrmoug2020-200219203736-thumbnail.jpg?width=120&height=120&fit=bounds" /> RMOUG 2020 abstract: This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager.

DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentals from John Beresniewicz

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0 ASHviz - Dats visualization research experiments using ASH data /slideshow/ashviz-dats-visualization-research-experiments-using-ash-data/228514971 ashvizrmoug2020text-200218030734
RMOUG Training Days 2020 abstract: The Active Session History (ASH) mechanism is a rich source of fine-grained data about database activity, and is the lynchpin for many database performance management features in the Diagnostic and Tuning packs. Many interesting stories about happenings in the database are buried in ASH waiting to be revealed, and data visualization is key to sifting these out from the high dimensionality and volume of ASH data. The session will cover a number of data visualization experiments conducted using a single ASH dump with an emphasis on the iterative process of discovering useful data visualizations. ]]>
RMOUG Training Days 2020 abstract: The Active Session History (ASH) mechanism is a rich source of fine-grained data about database activity, and is the lynchpin for many database performance management features in the Diagnostic and Tuning packs. Many interesting stories about happenings in the database are buried in ASH waiting to be revealed, and data visualization is key to sifting these out from the high dimensionality and volume of ASH data. The session will cover a number of data visualization experiments conducted using a single ASH dump with an emphasis on the iterative process of discovering useful data visualizations. ]]> Tue, 18 Feb 2020 03:07:34 GMT /slideshow/ashviz-dats-visualization-research-experiments-using-ash-data/228514971 jberesni@slideshare.net(jberesni) ASHviz - Dats visualization research experiments using ASH data jberesni RMOUG Training Days 2020 abstract: The Active Session History (ASH) mechanism is a rich source of fine-grained data about database activity, and is the lynchpin for many database performance management features in the Diagnostic and Tuning packs. Many interesting stories about happenings in the database are buried in ASH waiting to be revealed, and data visualization is key to sifting these out from the high dimensionality and volume of ASH data. The session will cover a number of data visualization experiments conducted using a single ASH dump with an emphasis on the iterative process of discovering useful data visualizations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ashvizrmoug2020text-200218030734-thumbnail.jpg?width=120&height=120&fit=bounds" /> RMOUG Training Days 2020 abstract: The Active Session History (ASH) mechanism is a rich source of fine-grained data about database activity, and is the lynchpin for many database performance management features in the Diagnostic and Tuning packs. Many interesting stories about happenings in the database are buried in ASH waiting to be revealed, and data visualization is key to sifting these out from the high dimensionality and volume of ASH data. The session will cover a number of data visualization experiments conducted using a single ASH dump with an emphasis on the iterative process of discovering useful data visualizations.

ASHviz - Dats visualization research experiments using ASH data from John Beresniewicz

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0 NoSQL is Anti-relational /slideshow/nosql-is-antirelational/121124272 nosqlisantirelational-181030023932
Lightning talk given at OakTableWorld 2018 in San Francisco discusses why NoSQL databases are pretty much antithetical to fundamental relational database principles and therefore claims of "Relational-NoSQL" are absurd on their face.]]>
Lightning talk given at OakTableWorld 2018 in San Francisco discusses why NoSQL databases are pretty much antithetical to fundamental relational database principles and therefore claims of "Relational-NoSQL" are absurd on their face.]]> Tue, 30 Oct 2018 02:39:32 GMT /slideshow/nosql-is-antirelational/121124272 jberesni@slideshare.net(jberesni) NoSQL is Anti-relational jberesni Lightning talk given at OakTableWorld 2018 in San Francisco discusses why NoSQL databases are pretty much antithetical to fundamental relational database principles and therefore claims of "Relational-NoSQL" are absurd on their face. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nosqlisantirelational-181030023932-thumbnail.jpg?width=120&height=120&fit=bounds" /> Lightning talk given at OakTableWorld 2018 in San Francisco discusses why NoSQL databases are pretty much antithetical to fundamental relational database principles and therefore claims of "Relational-NoSQL" are absurd on their face.

NoSQL is Anti-relational from John Beresniewicz

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0 AAS Deeper Meaning /slideshow/aas-deeper-meaning/121123197 aasdeepermeaning-181030022730
This short presentation is about the deeper meaning of the core Oracle performance metric "Average Active Sessions" as the time derivative of the DB Time function, which explains why the Enterprise Manager DB Performance Page is literally a picture of DB Time (as the integral of AAS) as well as why "ASH Math" works to estimate DB Time (it's a Riemann sum as in first-year calculus.) Also, the relationship of AAS to Little's Law in queueing theory is briefly mentioned.]]>
This short presentation is about the deeper meaning of the core Oracle performance metric "Average Active Sessions" as the time derivative of the DB Time function, which explains why the Enterprise Manager DB Performance Page is literally a picture of DB Time (as the integral of AAS) as well as why "ASH Math" works to estimate DB Time (it's a Riemann sum as in first-year calculus.) Also, the relationship of AAS to Little's Law in queueing theory is briefly mentioned.]]> Tue, 30 Oct 2018 02:27:30 GMT /slideshow/aas-deeper-meaning/121123197 jberesni@slideshare.net(jberesni) AAS Deeper Meaning jberesni This short presentation is about the deeper meaning of the core Oracle performance metric "Average Active Sessions" as the time derivative of the DB Time function, which explains why the Enterprise Manager DB Performance Page is literally a picture of DB Time (as the integral of AAS) as well as why "ASH Math" works to estimate DB Time (it's a Riemann sum as in first-year calculus.) Also, the relationship of AAS to Little's Law in queueing theory is briefly mentioned. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aasdeepermeaning-181030022730-thumbnail.jpg?width=120&height=120&fit=bounds" /> This short presentation is about the deeper meaning of the core Oracle performance metric "Average Active Sessions" as the time derivative of the DB Time function, which explains why the Enterprise Manager DB Performance Page is literally a picture of DB Time (as the integral of AAS) as well as why "ASH Math" works to estimate DB Time (it's a Riemann sum as in first-year calculus.) Also, the relationship of AAS to Little's Law in queueing theory is briefly mentioned.

AAS Deeper Meaning from John Beresniewicz

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0 Awr1page OTW2018 /slideshow/awr1page-otw2018/121119980 awr1pageotw2018-181030014312
Small updates for this version presented at OakTableWorld 2018 Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports.]]>
Small updates for this version presented at OakTableWorld 2018 Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports.]]> Tue, 30 Oct 2018 01:43:12 GMT /slideshow/awr1page-otw2018/121119980 jberesni@slideshare.net(jberesni) Awr1page OTW2018 jberesni Small updates for this version presented at OakTableWorld 2018 Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/awr1pageotw2018-181030014312-thumbnail.jpg?width=120&height=120&fit=bounds" /> Small updates for this version presented at OakTableWorld 2018 Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports.

Awr1page OTW2018 from John Beresniewicz

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0 Awr1page - Sanity checking time instrumentation in AWR reports /slideshow/awr1page-sanity-checking-time-instrumentation-in-awr-reports-70840045/70840045 awr1pagermoug2017-170109232316
Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports.]]>
Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports.]]> Mon, 09 Jan 2017 23:23:16 GMT /slideshow/awr1page-sanity-checking-time-instrumentation-in-awr-reports-70840045/70840045 jberesni@slideshare.net(jberesni) Awr1page - Sanity checking time instrumentation in AWR reports jberesni Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/awr1pagermoug2017-170109232316-thumbnail.jpg?width=120&height=120&fit=bounds" /> Discusses Oracle time-based performance instrumentation as presented in AWR reports and inconsistencies between instrumentation sources that can cause confusion as conflicting information is presented. The cognitive load of investigating and reasoning about such conundrums is very high, discouraging even senior performance experts. A program (AWR1page) is discussed that consumes an AWR report and produces a 1-page normalized time summary by instrumentation source, precisely designed for reasoning about instrumentation inconsistencies in AWR reports.

Awr1page - Sanity checking time instrumentation in AWR reports from John Beresniewicz

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0 JB Design CV: products / mockups / experiments /slideshow/jb-design-cv-products-mockups-experiments/70779373 jbdesigncv-170107224018
A collection of screenshots, design mockups and conceptual prototypes for systems monitoring user interfaces and performance data visualizations spanning 20 years of my career from Savant to Oracle to the present. Wacky stuff.]]>
A collection of screenshots, design mockups and conceptual prototypes for systems monitoring user interfaces and performance data visualizations spanning 20 years of my career from Savant to Oracle to the present. Wacky stuff.]]> Sat, 07 Jan 2017 22:40:18 GMT /slideshow/jb-design-cv-products-mockups-experiments/70779373 jberesni@slideshare.net(jberesni) JB Design CV: products / mockups / experiments jberesni A collection of screenshots, design mockups and conceptual prototypes for systems monitoring user interfaces and performance data visualizations spanning 20 years of my career from Savant to Oracle to the present. Wacky stuff. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jbdesigncv-170107224018-thumbnail.jpg?width=120&height=120&fit=bounds" /> A collection of screenshots, design mockups and conceptual prototypes for systems monitoring user interfaces and performance data visualizations spanning 20 years of my career from Savant to Oracle to the present. Wacky stuff.

JB Design CV: products / mockups / experiments from John Beresniewicz

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0 Awr1page - Sanity checking time instrumentation in AWR reports /slideshow/awr1page-sanity-checking-time-instrumentation-in-awr-reports/66082824 awr1page-160916054253
The presentation discusses issues with Oracle timing instrumentation and introduces AWR1page, a program that produces high-level instrumentation sanity checks from AWR text reports, on a single page.]]>
The presentation discusses issues with Oracle timing instrumentation and introduces AWR1page, a program that produces high-level instrumentation sanity checks from AWR text reports, on a single page.]]> Fri, 16 Sep 2016 05:42:53 GMT /slideshow/awr1page-sanity-checking-time-instrumentation-in-awr-reports/66082824 jberesni@slideshare.net(jberesni) Awr1page - Sanity checking time instrumentation in AWR reports jberesni The presentation discusses issues with Oracle timing instrumentation and introduces AWR1page, a program that produces high-level instrumentation sanity checks from AWR text reports, on a single page. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/awr1page-160916054253-thumbnail.jpg?width=120&height=120&fit=bounds" /> The presentation discusses issues with Oracle timing instrumentation and introduces AWR1page, a program that produces high-level instrumentation sanity checks from AWR text reports, on a single page.

Awr1page - Sanity checking time instrumentation in AWR reports from John Beresniewicz

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0 AWR Ambiguity: Performance reasoning when the numbers don't add up /slideshow/awr-ambiguity-performance-reasoning-when-the-numbers-dons-add-up/54414825 awrambiguityotw15-151027055855-lva1-app6891
A close look at an AWR report where DB Time is exceeded by the sum of DB CPU and foreground wait time. We recall core Oracle performance principles and instrumentation design on the way to untangling the confusion.]]>
A close look at an AWR report where DB Time is exceeded by the sum of DB CPU and foreground wait time. We recall core Oracle performance principles and instrumentation design on the way to untangling the confusion.]]> Tue, 27 Oct 2015 05:58:55 GMT /slideshow/awr-ambiguity-performance-reasoning-when-the-numbers-dons-add-up/54414825 jberesni@slideshare.net(jberesni) AWR Ambiguity: Performance reasoning when the numbers don't add up jberesni A close look at an AWR report where DB Time is exceeded by the sum of DB CPU and foreground wait time. We recall core Oracle performance principles and instrumentation design on the way to untangling the confusion. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/awrambiguityotw15-151027055855-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> A close look at an AWR report where DB Time is exceeded by the sum of DB CPU and foreground wait time. We recall core Oracle performance principles and instrumentation design on the way to untangling the confusion.

AWR Ambiguity: Performance reasoning when the numbers don't add up from John Beresniewicz

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0 Proactive performance monitoring with adaptive thresholds /slideshow/proactive-performance-monitoring-with-adaptive-thresholds/42566865 proactiveperformancemonitoringwithadaptivethresholds-141210084751-conversion-gate01
Presentation given at UKOUG 2008 conference on the Adaptive Thresholds technology in Oracle database 10.2+ and Enterprise Manager 11. Adaptive Thresholds allows users to do consistent and effective performance monitoring across systems and architectures by using statistical characterization of metric streams to automatically set and adapt monitoring thresholds independent of application workload.]]>
Presentation given at UKOUG 2008 conference on the Adaptive Thresholds technology in Oracle database 10.2+ and Enterprise Manager 11. Adaptive Thresholds allows users to do consistent and effective performance monitoring across systems and architectures by using statistical characterization of metric streams to automatically set and adapt monitoring thresholds independent of application workload.]]> Wed, 10 Dec 2014 08:47:51 GMT /slideshow/proactive-performance-monitoring-with-adaptive-thresholds/42566865 jberesni@slideshare.net(jberesni) Proactive performance monitoring with adaptive thresholds jberesni Presentation given at UKOUG 2008 conference on the Adaptive Thresholds technology in Oracle database 10.2+ and Enterprise Manager 11. Adaptive Thresholds allows users to do consistent and effective performance monitoring across systems and architectures by using statistical characterization of metric streams to automatically set and adapt monitoring thresholds independent of application workload. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/proactiveperformancemonitoringwithadaptivethresholds-141210084751-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation given at UKOUG 2008 conference on the Adaptive Thresholds technology in Oracle database 10.2+ and Enterprise Manager 11. Adaptive Thresholds allows users to do consistent and effective performance monitoring across systems and architectures by using statistical characterization of metric streams to automatically set and adapt monitoring thresholds independent of application workload.

Proactive performance monitoring with adaptive thresholds from John Beresniewicz

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0 Ash Outliers UKOUG2011 /slideshow/ash-outliers-ukoug2011/39990898 ashoutliersukoug2011-141007161218-conversion-gate01
An experimental and advanced usage of Oracle Event Histogram and ASH data to answer the question: has ASH sampled any latency outlier events? We use Event Histogram to characterize the probability distribution of event latencies and then join with ASH to find if high significance (low probability) events have been sampled. Presented at UKOUG in 2011.]]>
An experimental and advanced usage of Oracle Event Histogram and ASH data to answer the question: has ASH sampled any latency outlier events? We use Event Histogram to characterize the probability distribution of event latencies and then join with ASH to find if high significance (low probability) events have been sampled. Presented at UKOUG in 2011.]]> Tue, 07 Oct 2014 16:12:18 GMT /slideshow/ash-outliers-ukoug2011/39990898 jberesni@slideshare.net(jberesni) Ash Outliers UKOUG2011 jberesni An experimental and advanced usage of Oracle Event Histogram and ASH data to answer the question: has ASH sampled any latency outlier events? We use Event Histogram to characterize the probability distribution of event latencies and then join with ASH to find if high significance (low probability) events have been sampled. Presented at UKOUG in 2011. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ashoutliersukoug2011-141007161218-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> An experimental and advanced usage of Oracle Event Histogram and ASH data to answer the question: has ASH sampled any latency outlier events? We use Event Histogram to characterize the probability distribution of event latencies and then join with ASH to find if high significance (low probability) events have been sampled. Presented at UKOUG in 2011.

Ash Outliers UKOUG2011 from John Beresniewicz

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0 Contract-oriented PLSQL Programming /slideshow/contract-oriented-plsql-oppchi2008/38955085 contractorientedplsql-oppchi2008-140911000416-phpapp02
This presentation from 2008 is a good summary of Design by Contract and its application to PL/SQL as I have adopted and recommend others to try as well.]]>
This presentation from 2008 is a good summary of Design by Contract and its application to PL/SQL as I have adopted and recommend others to try as well.]]> Thu, 11 Sep 2014 00:04:15 GMT /slideshow/contract-oriented-plsql-oppchi2008/38955085 jberesni@slideshare.net(jberesni) Contract-oriented PLSQL Programming jberesni This presentation from 2008 is a good summary of Design by Contract and its application to PL/SQL as I have adopted and recommend others to try as well. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/contractorientedplsql-oppchi2008-140911000416-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation from 2008 is a good summary of Design by Contract and its application to PL/SQL as I have adopted and recommend others to try as well.

Contract-oriented PLSQL Programming from John Beresniewicz

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0 Average Active Sessions - OaktableWorld 2013 /slideshow/aas-oaktable-world-2013-jb/38107018 aasoaktableworld2013-jb-140818153524-phpapp01
A more recent presentation on the all-important topic of Average Active Sessions (AAS) for Oracle performance analysis.]]>
A more recent presentation on the all-important topic of Average Active Sessions (AAS) for Oracle performance analysis.]]> Mon, 18 Aug 2014 15:35:24 GMT /slideshow/aas-oaktable-world-2013-jb/38107018 jberesni@slideshare.net(jberesni) Average Active Sessions - OaktableWorld 2013 jberesni A more recent presentation on the all-important topic of Average Active Sessions (AAS) for Oracle performance analysis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aasoaktableworld2013-jb-140818153524-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> A more recent presentation on the all-important topic of Average Active Sessions (AAS) for Oracle performance analysis.

Average Active Sessions - OaktableWorld 2013 from John Beresniewicz

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0 Average Active Sessions RMOUG2007 /slideshow/average-active-sessions-rmoug2007-37554537/37554537 averageactivesessionsrmoug2007-140731181514-phpapp01
Understanding Average Active Sessions (AAS) is critical to understanding Oracle performance at the systemic level. This is my first presentation on the topic done at RMOUG Training Days in 2007. Later I will upload a more recent presentation on AAS from 2013.]]>
Understanding Average Active Sessions (AAS) is critical to understanding Oracle performance at the systemic level. This is my first presentation on the topic done at RMOUG Training Days in 2007. Later I will upload a more recent presentation on AAS from 2013.]]> Thu, 31 Jul 2014 18:15:14 GMT /slideshow/average-active-sessions-rmoug2007-37554537/37554537 jberesni@slideshare.net(jberesni) Average Active Sessions RMOUG2007 jberesni Understanding Average Active Sessions (AAS) is critical to understanding Oracle performance at the systemic level. This is my first presentation on the topic done at RMOUG Training Days in 2007. Later I will upload a more recent presentation on AAS from 2013. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/averageactivesessionsrmoug2007-140731181514-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Understanding Average Active Sessions (AAS) is critical to understanding Oracle performance at the systemic level. This is my first presentation on the topic done at RMOUG Training Days in 2007. Later I will upload a more recent presentation on AAS from 2013.

Average Active Sessions RMOUG2007 from John Beresniewicz

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0 Ash architecture and advanced usage rmoug2014 /slideshow/ash-architecture-and-advanced-usage-rmoug2014-36611678/36611678 asharchitectureandadvancedusagermoug2014-140703192353-phpapp02
This is the presentation on ASH that I did with Graham Wood at RMOUG 2014 and that represents the final best effort to capture essential and advanced ASH content as started in a presentation Uri Shaft and I gave at a small conference in Denmark sometime in 2012 perhaps. The presentation is also available publicly through the RMOUG website, so I felt at liberty to post it myself here. If it disappears it would likely be because I have been asked to remove it by Oracle.]]>
This is the presentation on ASH that I did with Graham Wood at RMOUG 2014 and that represents the final best effort to capture essential and advanced ASH content as started in a presentation Uri Shaft and I gave at a small conference in Denmark sometime in 2012 perhaps. The presentation is also available publicly through the RMOUG website, so I felt at liberty to post it myself here. If it disappears it would likely be because I have been asked to remove it by Oracle.]]> Thu, 03 Jul 2014 19:23:52 GMT /slideshow/ash-architecture-and-advanced-usage-rmoug2014-36611678/36611678 jberesni@slideshare.net(jberesni) Ash architecture and advanced usage rmoug2014 jberesni This is the presentation on ASH that I did with Graham Wood at RMOUG 2014 and that represents the final best effort to capture essential and advanced ASH content as started in a presentation Uri Shaft and I gave at a small conference in Denmark sometime in 2012 perhaps. The presentation is also available publicly through the RMOUG website, so I felt at liberty to post it myself here. If it disappears it would likely be because I have been asked to remove it by Oracle. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/asharchitectureandadvancedusagermoug2014-140703192353-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is the presentation on ASH that I did with Graham Wood at RMOUG 2014 and that represents the final best effort to capture essential and advanced ASH content as started in a presentation Uri Shaft and I gave at a small conference in Denmark sometime in 2012 perhaps. The presentation is also available publicly through the RMOUG website, so I felt at liberty to post it myself here. If it disappears it would likely be because I have been asked to remove it by Oracle.

Ash architecture and advanced usage rmoug2014 from John Beresniewicz

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0 https://cdn.slidesharecdn.com/profile-photo-jberesni-48x48.jpg?cb=1670429049 Senior technologist specializing in conceptualization, design and development of system performance monitoring and management tools; always striving for usable, intuitive and productive user experiences. Deep background in Oracle DBA, SQL, PL/SQL, relational data Modeling and Oracle Diagnostic and Tuning Packs. https://cdn.slidesharecdn.com/ss_thumbnails/dbtimeashmathrmoug2020-200219203736-thumbnail.jpg?width=320&height=320&fit=bounds jberesni/db-time-average-active-sessions-and-ash-math-oracle-performance-fundamentals-228654679 DB Time, Average Activ... https://cdn.slidesharecdn.com/ss_thumbnails/ashvizrmoug2020text-200218030734-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ashviz-dats-visualization-research-experiments-using-ash-data/228514971 ASHviz - Dats visualiz... https://cdn.slidesharecdn.com/ss_thumbnails/nosqlisantirelational-181030023932-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/nosql-is-antirelational/121124272 NoSQL is Anti-relational