This document discusses new features in Oracle ORAchk/EXAchk version 12.1.0.2.7. It introduces several enhancements to ORAchk and EXAchk including making it easier to configure and maintain large collections of data across an enterprise, tracking changes to important file attributes, finding health checks that require privileged users, broader platform support, and new health checks. The agenda covers these new features in more detail over the course of the document.
LAD -GroundBreakers-Jul 2019 - The Machine Learning behind the Autonomous Dat...Sandesh Rao
We are entering a new era in the database with the introduction of the Oracle Autonomous Database. AI and Machine Learning are center stage to most projects and assist in making complex decisions which was not possible before. Most data science projects don’t get beyond the data scientist and rarely operationalize their predictive models. there are new toolsets and methods available everyday which make this an extremely dynamic space. There are different categories of users who want to use the algorithms , the toolsets but don't know where to start. Whether you are a data scientist who wants to play with data and build your own models or make use of the database features with the built in models or use the specific AI services within a specific vertical such as Insurance or Healthcare . We will take a glimpse at Oracle's Machine Learning Zeppelin-based notebooks for Oracle Autonomous Data Warehouse Cloud to how Oracle uses AIOps and Applied Machine learning for its own operations and the Oracle AI Platform Cloud Service to provided an all rounded view of what Oracle is upto in this space
Introduction to Machine Learning and Data Science using Autonomous Database ...Sandesh Rao
This session will focus on basics of what Machine Learning is , different types of Machine Learning and Neural Networks , supervised and unsupervised machine learning , autoML for training models and this ends with an example of how to predict workloads using Average Active sessions and different algorithms as an example and also how to predict maintenance windows for your databases. We will also use different open source frameworks as well as some of the tools in the Autonomous Database cloud to do this. If you are a DBA and want to learn something about machine learning and use the tools to perform your tasks more efficiently and automaticall
20 tips and tricks with the Autonomous DatabaseSandesh Rao
This covers the top 20 questions most DBA’s , Developers will have on the Autonomous Database from provisioning to backups , troubleshooting , tips and tricks , security and HA . This is a good introduction for on-prem DBA’s who want to learn how this works quickly without spending too much time on it . Questions like what does the free tier cover , how do I do backup or if its automated how do I manage it , how to scale up and down , how to use tools like SQLDeveloper and SQLModeler , endpoints , terraform all in a quick 45 minute session which might take weeks to pickup reading documentation or spanning several presentations
This is a comprehensive presentation for the Oracle Exachk tool which covers automation and how to cover best practices and what options are features are available with the same
Learn about new features in the 19c RAC database. In this session get a good understanding of the architecture of RAC , ASM and the Grid Infrastructure which involves processes, their communication mechanisms, startup sequences and then we move to scenarios and common troubleshooting scenarios with how to proceed to diagnose the same. We will learn to automatically troubleshoot hangs, collect and debug trace, perform best practices on your stack automatically and how to act on the recommendations
LAD -GroundBreakers-Jul 2019 - The Machine Learning behind the Autonomous Dat...Sandesh Rao
We are entering a new era in the database with the introduction of the Oracle Autonomous Database. AI and Machine Learning are center stage to most projects and assist in making complex decisions which was not possible before. Most data science projects don’t get beyond the data scientist and rarely operationalize their predictive models. there are new toolsets and methods available everyday which make this an extremely dynamic space. There are different categories of users who want to use the algorithms , the toolsets but don't know where to start. Whether you are a data scientist who wants to play with data and build your own models or make use of the database features with the built in models or use the specific AI services within a specific vertical such as Insurance or Healthcare . We will take a glimpse at Oracle's Machine Learning Zeppelin-based notebooks for Oracle Autonomous Data Warehouse Cloud to how Oracle uses AIOps and Applied Machine learning for its own operations and the Oracle AI Platform Cloud Service to provided an all rounded view of what Oracle is upto in this space
Introduction to Machine Learning and Data Science using Autonomous Database ...Sandesh Rao
This session will focus on basics of what Machine Learning is , different types of Machine Learning and Neural Networks , supervised and unsupervised machine learning , autoML for training models and this ends with an example of how to predict workloads using Average Active sessions and different algorithms as an example and also how to predict maintenance windows for your databases. We will also use different open source frameworks as well as some of the tools in the Autonomous Database cloud to do this. If you are a DBA and want to learn something about machine learning and use the tools to perform your tasks more efficiently and automaticall
20 tips and tricks with the Autonomous DatabaseSandesh Rao
This covers the top 20 questions most DBA’s , Developers will have on the Autonomous Database from provisioning to backups , troubleshooting , tips and tricks , security and HA . This is a good introduction for on-prem DBA’s who want to learn how this works quickly without spending too much time on it . Questions like what does the free tier cover , how do I do backup or if its automated how do I manage it , how to scale up and down , how to use tools like SQLDeveloper and SQLModeler , endpoints , terraform all in a quick 45 minute session which might take weeks to pickup reading documentation or spanning several presentations
This is a comprehensive presentation for the Oracle Exachk tool which covers automation and how to cover best practices and what options are features are available with the same
Learn about new features in the 19c RAC database. In this session get a good understanding of the architecture of RAC , ASM and the Grid Infrastructure which involves processes, their communication mechanisms, startup sequences and then we move to scenarios and common troubleshooting scenarios with how to proceed to diagnose the same. We will learn to automatically troubleshoot hangs, collect and debug trace, perform best practices on your stack automatically and how to act on the recommendations
The Machine Learning behind the Autonomous Database- EMEA Tour Oct 2019 Sandesh Rao
Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. We take a view on our current state of ML in the Autonomous Database Cloud and how do we process this data in ADW/ATP with zeppelin notebooks to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. We will cover some sample notebooks to some use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. Some of the other use cases is to use convolution filters to determine maintenance windows within the database workloads , determine best times to do database backups , security anomaly timelines and many others. This presentation will accompany several examples with how to apply these techniques , machine learning knowledge is preferred but not a prerequisite
Introduction to AutoML and Data Science using the Oracle Autonomous Database ...Sandesh Rao
We are entering a new era in the database with the introduction of the Oracle Autonomous Database. AI and Machine Learning are center stage to most projects and assist in making complex decisions which was not possible before. Most data science projects don’t get beyond the data scientist and rarely operationalize their predictive models. there are new toolsets and methods available everyday which make this an extremely dynamic space. There are different categories of users who want to use the algorithms , the toolsets but don't know where to start. Whether you are a data scientist who wants to play with data and build your own models or make use of the database features with the built in models or use the specific AI services within a specific vertical such as Insurance or Healthcare . We will take a glimpse at Oracle's Machine Learning Zeppelin-based notebooks for Oracle Autonomous Data Warehouse Cloud to how Oracle uses AIOps and Applied Machine learning for its own operations and the Oracle AI Platform Cloud Service to provided an all rounded view of what Oracle is upto in this space
AUSOUG - Introducing New AI Ops Innovations in Oracle 19c Autonomous Health F...Sandesh Rao
Oracle Autonomous Health Framework (AHF) is Oracle’s Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 18c and coming in 19c. First successfully introduced in Cluster Health Advisor, and extended to Trace File Analyzer and Hang Manager, Oracle AHF’s applied machine learning technology now enhances additional framework components. You will learn how to utilize these features for determining workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningSandesh Rao
Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. This presentation takes a view on our current state of Diagnostic methodology in the Autonomous Database Cloud services and how do we process this data to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. Some of the use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. We will cover techniques to analyze database issues using Machine learning techniques like Kmeans , TFIDF, Random Forests, and z-scores to predict if a spike in the CPU is a normal or abnormal spike. We will also talk about RNN’s with LSTM/GRU as some of the applications of how to predict faults before they happen. Some of the other use cases are to use convolution filters to determine maintenance windows within the database workloads, determine best times to do database backups, security anomaly timelines and many others. This is a production service and this can be used if you have a customer SR/defect today. The service is much more extensive inside the Oracle Autonomous Database Cloud. This presentation will accompany several examples with how to apply these techniques, machine learning knowledge is preferred but not a prerequisite
AUSOUG - NZOUG - Groundbreakers - Jun 2019 - 19 Troubleshooting Tips and Tric...Sandesh Rao
This part of the workshop will focus on 19 troubleshooting tips and tricks for DBA’s covering tools from the Oracle Autonomous Health Framework (AHF) like Trace File Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , oratop for pinpointing performance issues and many others to make one feels like a rockstar DBA
How to use Exachk effectively to manage Exadata environments OGBEmeaSandesh Rao
Exachk is a tool for helping with best practices with an Exadata Box. This presentation will go through setup , usage , options and how to use it more effectively to be more proactive in fixing issues with an Exadata environment. There are features like baselines , scheduler for ongoing automation , Collection Manager an Apex based interface which is used to determine the common problems , how to setup this dashboard all for free and in under 30 minutes to be a rockstar Exadata DBA
Introduction to Machine Learning - From DBA's to Data Scientists - OGBEMEASandesh Rao
This session will focus on basics of what Machine Learning is , different types of Machine Learning and Neural Networks , supervised and unsupervised machine learning with examples, AutoML for training models and this ends with an example of how to predict fraud , to determining shopping patterns to Wine picking and different algorithms as an example and also how to predict workload for your databases. We will also use OML in the Autonomous Database cloud to do this. If you are a DBA and want to learn something about machine learning and use the tools to perform your tasks more efficiently and automatically
The Machine Learning behind the Autonomous Database ILOUG Feb 2020 Sandesh Rao
Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. We take a view on our current state of ML in the Autonomous Database Cloud and how do we process this data in ADW/ATP with zeppelin notebooks to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. We will cover some sample notebooks to some use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. Some of the other use cases is to use convolution filters...
20 Tips and Tricks with the Autonomous Database Sandesh Rao
This session will focus on the Autonomous Database which is Oracle’s latest Cloud product and will provide the latest news on what is happening in this space. Some of the topics covered will be - How do I scale the database , How to use the machine learning notebooks , details on the free tier of the database and how to use it among some of the tips and tricks to give you all the skills you need to use the database for the first time if you have not used it before or to better improve your skills if you’re already a power user this will extend your skills and also educate you on new features of the Autonomous Database
LAD - GroundBreakers - Jul 2019 - Using Oracle Autonomous Health Framework to...Sandesh Rao
This session will focus on the best practice use of the Oracle Autonomous Health Framework (AHF) with an emphasis on troubleshooting private cloud database deployments. It will cover the troubleshooting tips and tricks which DBA's need on a daily basis using tools like Trace file Analyzer (TFA) , Exachk (Best Practices) , Cluster Health Advisor.. Additionally, use cases focusing on best practices for targeted diagnosis and rapid recovery to preserve availability will be covered. This will also cover the new troubleshooting tips for Oracle Database 19c
The Machine Learning behind the Autonomous Database- EMEA Tour Oct 2019 Sandesh Rao
Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. We take a view on our current state of ML in the Autonomous Database Cloud and how do we process this data in ADW/ATP with zeppelin notebooks to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. We will cover some sample notebooks to some use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. Some of the other use cases is to use convolution filters to determine maintenance windows within the database workloads , determine best times to do database backups , security anomaly timelines and many others. This presentation will accompany several examples with how to apply these techniques , machine learning knowledge is preferred but not a prerequisite
Introduction to AutoML and Data Science using the Oracle Autonomous Database ...Sandesh Rao
We are entering a new era in the database with the introduction of the Oracle Autonomous Database. AI and Machine Learning are center stage to most projects and assist in making complex decisions which was not possible before. Most data science projects don’t get beyond the data scientist and rarely operationalize their predictive models. there are new toolsets and methods available everyday which make this an extremely dynamic space. There are different categories of users who want to use the algorithms , the toolsets but don't know where to start. Whether you are a data scientist who wants to play with data and build your own models or make use of the database features with the built in models or use the specific AI services within a specific vertical such as Insurance or Healthcare . We will take a glimpse at Oracle's Machine Learning Zeppelin-based notebooks for Oracle Autonomous Data Warehouse Cloud to how Oracle uses AIOps and Applied Machine learning for its own operations and the Oracle AI Platform Cloud Service to provided an all rounded view of what Oracle is upto in this space
AUSOUG - Introducing New AI Ops Innovations in Oracle 19c Autonomous Health F...Sandesh Rao
Oracle Autonomous Health Framework (AHF) is Oracle’s Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 18c and coming in 19c. First successfully introduced in Cluster Health Advisor, and extended to Trace File Analyzer and Hang Manager, Oracle AHF’s applied machine learning technology now enhances additional framework components. You will learn how to utilize these features for determining workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.
AUSOUG - NZOUG-GroundBreakers-Jun 2019 - AI and Machine LearningSandesh Rao
Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. This presentation takes a view on our current state of Diagnostic methodology in the Autonomous Database Cloud services and how do we process this data to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. Some of the use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. We will cover techniques to analyze database issues using Machine learning techniques like Kmeans , TFIDF, Random Forests, and z-scores to predict if a spike in the CPU is a normal or abnormal spike. We will also talk about RNN’s with LSTM/GRU as some of the applications of how to predict faults before they happen. Some of the other use cases are to use convolution filters to determine maintenance windows within the database workloads, determine best times to do database backups, security anomaly timelines and many others. This is a production service and this can be used if you have a customer SR/defect today. The service is much more extensive inside the Oracle Autonomous Database Cloud. This presentation will accompany several examples with how to apply these techniques, machine learning knowledge is preferred but not a prerequisite
AUSOUG - NZOUG - Groundbreakers - Jun 2019 - 19 Troubleshooting Tips and Tric...Sandesh Rao
This part of the workshop will focus on 19 troubleshooting tips and tricks for DBA’s covering tools from the Oracle Autonomous Health Framework (AHF) like Trace File Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , oratop for pinpointing performance issues and many others to make one feels like a rockstar DBA
How to use Exachk effectively to manage Exadata environments OGBEmeaSandesh Rao
Exachk is a tool for helping with best practices with an Exadata Box. This presentation will go through setup , usage , options and how to use it more effectively to be more proactive in fixing issues with an Exadata environment. There are features like baselines , scheduler for ongoing automation , Collection Manager an Apex based interface which is used to determine the common problems , how to setup this dashboard all for free and in under 30 minutes to be a rockstar Exadata DBA
Introduction to Machine Learning - From DBA's to Data Scientists - OGBEMEASandesh Rao
This session will focus on basics of what Machine Learning is , different types of Machine Learning and Neural Networks , supervised and unsupervised machine learning with examples, AutoML for training models and this ends with an example of how to predict fraud , to determining shopping patterns to Wine picking and different algorithms as an example and also how to predict workload for your databases. We will also use OML in the Autonomous Database cloud to do this. If you are a DBA and want to learn something about machine learning and use the tools to perform your tasks more efficiently and automatically
The Machine Learning behind the Autonomous Database ILOUG Feb 2020 Sandesh Rao
Autonomous Database is one of the hottest Oracle products where we have attempted to use Machine Learning for several aspects of the service. We take a view on our current state of ML in the Autonomous Database Cloud and how do we process this data in ADW/ATP with zeppelin notebooks to find anomalies in them to troubleshoot them at a scale of several petabytes a year and conduct AIOps. We will cover some sample notebooks to some use cases we will cover are a Log Anomaly timeline which we reduce significant amounts of logs using semi-supervised machine learning techniques to reduce logs and match them in near real time. Some of the other use cases is to use convolution filters...
20 Tips and Tricks with the Autonomous Database Sandesh Rao
This session will focus on the Autonomous Database which is Oracle’s latest Cloud product and will provide the latest news on what is happening in this space. Some of the topics covered will be - How do I scale the database , How to use the machine learning notebooks , details on the free tier of the database and how to use it among some of the tips and tricks to give you all the skills you need to use the database for the first time if you have not used it before or to better improve your skills if you’re already a power user this will extend your skills and also educate you on new features of the Autonomous Database
LAD - GroundBreakers - Jul 2019 - Using Oracle Autonomous Health Framework to...Sandesh Rao
This session will focus on the best practice use of the Oracle Autonomous Health Framework (AHF) with an emphasis on troubleshooting private cloud database deployments. It will cover the troubleshooting tips and tricks which DBA's need on a daily basis using tools like Trace file Analyzer (TFA) , Exachk (Best Practices) , Cluster Health Advisor.. Additionally, use cases focusing on best practices for targeted diagnosis and rapid recovery to preserve availability will be covered. This will also cover the new troubleshooting tips for Oracle Database 19c
New Features in Oracle ORAchk & EXAchk 12.2.0.1.1Gareth Chapman
Covers new features in the Oracle ORAchk and Oracle EXAchk release 12.2.0.1.1.
- Easier to Use & Upgrade Oracle Health Checks Collection Manager
- More Flexibility for Running Root Privileged Checks
- Support for New Engineered Systems / Platforms / Versions
- Send Email from Compute Node Instead of Storage Cell
- New Health Checks
Oracle Open World 2014 presentation [CON8127] on Maximizing Oracle RAC Uptime. This presentation discusses tools integrated into the Oracle RAC Stack and shows which tools to use in the various stages of the system's lifecycle to ensure smooth operation.
Trace File Analyzer - Usage and Features Sandesh Rao
TFA or Trace File Analyzer is an Oracle tool to collect , analyze and perform machine learning on Oracle log and other data sources. This presentation covers all the options which are available with the tool and is updated to the 18.3.0 version. This is a comprehensive deck for someone who also wants to acquaint themselves with TFA
Similar to ORAchk EXAchk what's new in 12.1.0.2.7 (20)
Whats new in Autonomous Database in 2022Sandesh Rao
This session covers the new features and happenings in the autonomous database world and will help answer more questions DBAs and Developers will have on the Autonomous Database, from provisioning to backups, troubleshooting, tips and tricks, security and HA. This is a good introduction for on-prem DBAs who want to learn how this works quickly without spending too much time on it. Questions like what does the free tier cover, how do I do backup or if it's automated, how do I manage it, how to scale up and down, how to secure their environment, how to use mtls, how to use tools like SQLDeveloper and SQLModeler, performance tuning all in a quick 45-minute session which might take weeks to pick up reading documentation or spanning several presentations
Oracle Database performance tuning using oratopSandesh Rao
Oratop is a text-based user interface tool for monitoring basic database operations in real-time. This presentation will go into depth on how to use the tool and some example scenarios. It can be used for both RAC and single-instance databases and in combination with top to get a more holistic view of system performance and identify any bottlenecks.
Analysis of Database Issues using AHF and Machine Learning v2 - AOUG2022Sandesh Rao
Oracle Autonomous Health Framework (AHF) is Oracle’s Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 21c. We will discuss how to use the data which is derived from the Bayesian Net framework of AHF to conduct root cause analysis, telemetry and remediations for issues. You will learn to utilize these features to determine workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.
Session Highlights:
• Insights into AHF enhancements to current functionality and new features in 21c
• Learn early detection of anomalies and performance issues, their root causes and corrective actions
• Targeted postmortem analysis enabling quick resolution
Analysis of Database Issues using AHF and Machine Learning v2 - SOUGSandesh Rao
Oracle Autonomous Health Framework (AHF) is Oracle’s Artificial Intelligence Operations platform for autonomous database health management. This session will focus on enhancements to current functionality and new features in 21c. We will discuss how to use the data which is derived from the Bayesian Net framework of AHF to conduct root cause analysis, telemetry and remediations for issues. You will learn to utilize these features to determine workload footprint, ongoing monitoring, early detection of anomalies and performance issues, their root causes and corrective actions, prevention of node or database failures, and targeted postmortem analysis enabling quick resolution.
Session Highlights:
• Insights into AHF enhancements to current functionality and new features in 21c
• Learn early detection of anomalies and performance issues, their root causes and corrective actions
• Targeted postmortem analysis enabling quick resolution
15 Troubleshooting Tips and Tricks for database 21c - OGBEMEA KSAOUGSandesh Rao
This session will focus on 15 troubleshooting tips and tricks for DBA’s covering tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , oratop for pinpointing performance issues and many others to make one feel like a rockstar DBA
Introduction to Machine learning - DBA's to data scientists - Oct 2020 - OGBEmeaSandesh Rao
This session will focus on basics of what Machine Learning is , different types of Machine Learning and Neural Networks , supervised and unsupervised machine learning with examples, AutoML for training models and this ends with an example of how to predict fraud , to determining shopping patterns to Wine picking and different algorithms as an example and also how to predict workload for your databases. We will also use OML in the Autonomous Database cloud to do this. If you are a DBA and want to learn something about machine learning and use the tools to perform your tasks more efficiently and automatically
Troubleshooting tips and tricks for Oracle Database Oct 2020Sandesh Rao
This talk presents 15 different tips and tricks using tools to better troubleshoot and debug problems with Database , Oracle RAC and Oracle Clusterware , ASM and how to get the right pieces of data with the least of commands which today most people do manually. This session will cover tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , oratop for pinpointing performance issues and many others to make one feel like a rockstar DBA.
Machine Learning in Autonomous Data WarehouseSandesh Rao
Machine Learning in Autonomous Data Warehouse: One can use Oracle Autonomous Data Warehouse for machine learning. There are several ways to do this. This presentation explores these different but related options for performing machine learning. Each of these options enables people with different backgrounds to engage with building machine learning solutions on their data. At the end of the session, you will know which option will work best for you
This is from the Bay area Cloud Computing event https://www.meetup.com/All-Things-Cloud-Computing-Bay-Area/events/271017950/
Oracle Autonomous Health Service- For Protecting Your On-Premise Databases- F...Sandesh Rao
Oracle Autonomous Health Service is a new feature in Oracle Database 19c that supports centralized diagnostic monitoring of your on-premise Oracle RAC database clusters. In this session learn how to free up local cluster resources and improve monitoring efficiency with this centralized service-based solution. Practical tips and best practices for setup are covered along with a demonstration of its responsive browser-based dashboard and triage console. Specific Oracle RAC database, Oracle Automatic Storage Management, and cluster issues are rapidly triaged utilizing the built-in support for Trace File Analyzer and ORAchk/EXAchk collections, Cluster Health Advisor problem diagnosis, Hang Manager and Memory Guard events, and QoS management workload performance metrics.
Troubleshooting Tips and Tricks for Database 19c ILOUG Feb 2020Sandesh Rao
This session will focus on 19 troubleshooting tips and tricks for DBAs covering tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , oratop for pinpointing performance issues and many others to make one feel like a rockstar DBA
Introduction to Machine Learning and Data Science using the Autonomous databa...Sandesh Rao
This session will focus on basics of what Machine Learning is, different types of Machine Learning and Neural Networks, supervised and unsupervised machine learning, AutoML for training models and this ends with an example of how to predict workloads using Average Active sessions and different algorithms as an example and also how to predict maintenance windows for your databases. We will also use many examples from the ADW Oracle Autonomous Database offering, Oracle Machine Learning library to make this a session with lots of code examples in addition to the theory of Machine Learning and you will walk out having a definitive path to being a data scientist
Troubleshooting Tips and Tricks for Database 19c - Sangam 2019Sandesh Rao
DBA's always have a bunch of scripts to do their daily tasks. How to find that stuck session, how to find who is consuming the most resources, how do I take a stack of multiple processes? This session will focus on troubleshooting tips and tricks for DBA's covering tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , Oratop for pinpointing performance issues and many other native Database features like short stacks, system state summaries, quickly spot hangs across RAC clusters among some of them to make your jobs a lot more efficient and make you look good to your bosses !!
Oracle Real Application Clusters 19c- Best Practices and Internals- EMEA Tour...Sandesh Rao
In this session, I will cover under-the-hood features that power Oracle Real Application Clusters (Oracle RAC) 19c specifically around Cache Fusion and Service management. Improvements in Oracle RAC helps in integration with features such as Multitenant and Data Guard. In fact, these features benefit immensely when used with Oracle RAC. Finally we will talk about changes to the broader Oracle RAC Family of Products stack and the algorithmic changes that helps quickly detect sick/dead nodes/instances and the reconfiguration improvements to ensure that the Oracle RAC Databases continue to function without any disruption
Troubleshooting Tips and Tricks for Database 19c - EMEA Tour Oct 2019Sandesh Rao
This session will focus on 19 troubleshooting tips and tricks for DBA's covering tools from the Oracle Autonomous Health Framework (AHF) like Trace file Analyzer (TFA) to collect , organize and analyze log data , Exachk and orachk to perform mass best practices analysis and automation , Cluster Health Advisor to debug node evictions and calibrate the framework , OSWatcher and its analysis engine , oratop for pinpointing performance issues and many others to make one feel like a rockstar DBA
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.