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
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
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.
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...
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
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
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.
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...
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
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
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
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
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
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 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
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
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
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
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
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
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 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
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
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
Oracle Active Data Guard: Best Practices and New Features Deep Dive Glen Hawkins
Oracle Data Guard and Oracle Active Data Guard have long been the answer for the real-time protection, availability, and usability of Oracle data. This presentation provides an in-depth look at several key new features that will make your life easier and protect your data in new and more flexible ways. Learn how Oracle Active Data Guard 19c has been integrated with Oracle Database In-Memory and offers a faster application response after a role transition. See how DML can now be redirected from an Oracle Active Data Guard standby to its primary for more flexible data protection in today’s data centers or your data clouds. This technical deep dive on Active Data Guard is designed to give you a glimpse into upcoming new features brought to you by Oracle Development.
MySQL Day Paris 2018 - MySQL & GDPR; Privacy and Security requirementsOlivier DASINI
MySQL Enterprise Transparent Data Encryption (TDE) protects your critical data by enabling data-at-rest encryption in the database. It protects the privacy of your information, prevents data breaches and helps meet regulatory requirements including the Payment Card Industry Data Security Standard (PCI DSS), Health Insurance Portability and Accountability Act (HIPAA) and numerous others.
MySQL Enterprise Audit provides an easy to use, policy-based auditing solution that helps organizations implement stronger security controls and satisfy regulatory compliance.
As more sensitive data is collected, stored and used online, database auditing becomes an essential component of any security strategy. To guard against the misuse of information, popular compliance regulations including HIPAA, Sarbanes-Oxley, and the PCI Data Security Standard require organizations to track access to information.
MySQL Enterprise Firewall guards against cyber security threats by providing real-time protection against database specific attacks. Any application that has user-supplied input, such as login and personal information fields is at risk. Database attacks don't just come from applications. Data breaches can come from many sources including SQL virus attacks or from employee misuse. Successful attacks can quickly steal millions of customer records containing personal information, credit card, financial, healthcare or other valuable data.
MySQL Enterprise Masking and De-identification provides an easy to use, built-in database solution to help organizations protect sensitive data from unauthorized uses by hiding and replacing real values with substitutes.
MySQL Enterprise Edition provides ready to use external authentication modules to easily integrate existing security infrastructures, including Linux Pluggable Authentication Modules (PAM) and Windows Active Directory.
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
AHF Insights provides a bird’s-eye view of the entire system with the ability to further drill down for root cause analysis and correlation. It provides the ability to check aspects like configuration, environment topology, metrics, logs, system configuration, system state, anomalies in the operating system, best practices compliance, root cause for issues, and fixes in some of the anomalous cases. Learn how to use this powerful tool to gain better insights into your system—and how to analyze large amounts of data in a short amount of time. This session includes a demo and examples of how you can use AHF Insights in your environment to solve issues faster.
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
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/
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
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
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
LAD -GroundBreakers-Jul 2019 - Introduction to Machine Learning - From DBA's ...Sandesh Rao
Come to this session and experience a deep-dive into what you really need to know to may your DBA career thrive in an autonomous-driven world. Create cloud-scale automation; assess, score, and remediate IT and business compliance violations , get real-time insights into log data to find anomalies and ensure early detection of potential problems; and enable rapid detection, investigation, and remediation of the range of security threats across databases Features around the self-driving, self-securing, and self-repairing capabilities available across data management, application development, analytics, security and management. how DBAs can easily configure log collection and efficiently analyze logs from their database environment to rapidly troubleshoot problems. See how to use simple analysis to easily find errors across different log sources. Experience the power of machine learning techniques to rapidly identify anomalies that can lead to a problem’s root cause and eliminate finger-pointing. To use machine learning techniques to identify performance issues , steady windows for maintenance activities.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
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/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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