The document describes Performance Schema and ps_helper. Performance Schema is a feature in MySQL that collects runtime performance data and ps_helper is a tool that makes Performance Schema data easier to understand. It provides views, functions and stored procedures to summarize Performance Schema data for common use cases like analyzing user activity and statements.
Getting to Know MySQL Enterprise MonitorMark Leith
MySQL Enterprise Monitor is the monitoring and management solution for DBAs and developers delivered as part of MySQL Enterprise Edition. It provides background monitoring, alerting, trending, and analysis of the MySQL database and the statement traffic that is running within it.
View this session to learn how to install/configure, customize, and use MySQL Enterprise Monitor to suit your environment. Whether you use a single server or have hundreds of instances, MySQL Enterprise Monitor can provide great insights into how your environment is performing.
Performance Schema and Sys Schema in MySQL 5.7Mark Leith
MySQL 5.7 now includes the Sys Schema by default, which builds upon the awesome instrumentation framework laid by Performance Schema.
Performance Schema has had 23 worklogs completed in 5.7 alone, such as memory instrumentation, tying in transactions and stored programs in to the current statement/stage/wait instruments and wait graph, prepared statement instruments, metadata lock information, improved session status and variable reporting, the new structured replication tables, and more.
The Sys schema builds upon this strong foundation with easy reporting views and functions, as well as procedures to help both set up and manage the configuration of Performance Schema, and help diagnose performance issues with your database instances on the whole.
Come along and hear from the original developer of the Sys schema about all of these exciting improvements in MySQL instrumentation for the upcoming MySQL 5.7 release!
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7 and has been improved in MySQL 8.0. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
Getting to Know MySQL Enterprise MonitorMark Leith
MySQL Enterprise Monitor is the monitoring and management solution for DBAs and developers delivered as part of MySQL Enterprise Edition. It provides background monitoring, alerting, trending, and analysis of the MySQL database and the statement traffic that is running within it.
View this session to learn how to install/configure, customize, and use MySQL Enterprise Monitor to suit your environment. Whether you use a single server or have hundreds of instances, MySQL Enterprise Monitor can provide great insights into how your environment is performing.
Performance Schema and Sys Schema in MySQL 5.7Mark Leith
MySQL 5.7 now includes the Sys Schema by default, which builds upon the awesome instrumentation framework laid by Performance Schema.
Performance Schema has had 23 worklogs completed in 5.7 alone, such as memory instrumentation, tying in transactions and stored programs in to the current statement/stage/wait instruments and wait graph, prepared statement instruments, metadata lock information, improved session status and variable reporting, the new structured replication tables, and more.
The Sys schema builds upon this strong foundation with easy reporting views and functions, as well as procedures to help both set up and manage the configuration of Performance Schema, and help diagnose performance issues with your database instances on the whole.
Come along and hear from the original developer of the Sys schema about all of these exciting improvements in MySQL instrumentation for the upcoming MySQL 5.7 release!
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7 and has been improved in MySQL 8.0. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The 5.5 and 5.6 releases of MySQL introduce several new mechanisms that provide improved monitoring and performance tuning functionality. Examples are performance schemas, InnoDB metrics tables, optimizer trace, and extended explain functionality. This session outlines the vision for monitoring-related functionality in MySQL and presents an overview of the new mechanisms. It shows how these are integrated with MySQL management tools. Furthermore, it discusses how these mechanisms can be utilized by application developers, DBAs, and production engineers for tracking down performance issues and monitoring production systems.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema. The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The 5.5 and 5.6 releases of MySQL introduce several new mechanisms that provide improved monitoring and performance tuning functionality. Examples are performance schemas, InnoDB metrics tables, optimizer trace, and extended explain functionality.
This session outlines the vision for monitoring-related functionality in MySQL and presents an overview of the new mechanisms. It shows how these are integrated with MySQL management tools. Furthermore, it discusses how these mechanisms can be utilized by application developers, DBAs, and production engineers for tracking down performance issues and monitoring production systems.
In this presentation I’ll be discussing the following beginner points to understanding and creating monitoring.
* Why Monitor?
* What’s the minimum to Monitor?
* How to monitor?
* Monitoring Software Options.
* How to use the most basic of monitoring to help
* The basics of graphing results
* The rule of Everything
* The important on Application metrics and timings
For a very little investment in time, simple monitoring can be in place, and I can guarantee it will be of benefit to any system.
The basis of monitoring are metrics that combined with application measurements can provide trending insights, bottleneck understanding and provide valuable feedback about your growing site.
Southeast Linuxfest -- MySQL User Admin Tips & TricksDave Stokes
MySQL User Administration is viewed as a 'dark art' but is actually very simple. This presentation covers the pitfalls that novice DBAs plunge into and covers how to keep your data safe
These are the slides I used to present "MySQL Performance Schema" at FOSSASIA, 2015 Singapore. It gives an overview of Performance Schema and also explains how it could be used to diagnose issues using few use cases.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The 5.5 and 5.6 releases of MySQL introduce several new mechanisms that provide improved monitoring and performance tuning functionality. Examples are performance schemas, InnoDB metrics tables, optimizer trace, and extended explain functionality. This session outlines the vision for monitoring-related functionality in MySQL and presents an overview of the new mechanisms. It shows how these are integrated with MySQL management tools. Furthermore, it discusses how these mechanisms can be utilized by application developers, DBAs, and production engineers for tracking down performance issues and monitoring production systems.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema. The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
The 5.5 and 5.6 releases of MySQL introduce several new mechanisms that provide improved monitoring and performance tuning functionality. Examples are performance schemas, InnoDB metrics tables, optimizer trace, and extended explain functionality.
This session outlines the vision for monitoring-related functionality in MySQL and presents an overview of the new mechanisms. It shows how these are integrated with MySQL management tools. Furthermore, it discusses how these mechanisms can be utilized by application developers, DBAs, and production engineers for tracking down performance issues and monitoring production systems.
In this presentation I’ll be discussing the following beginner points to understanding and creating monitoring.
* Why Monitor?
* What’s the minimum to Monitor?
* How to monitor?
* Monitoring Software Options.
* How to use the most basic of monitoring to help
* The basics of graphing results
* The rule of Everything
* The important on Application metrics and timings
For a very little investment in time, simple monitoring can be in place, and I can guarantee it will be of benefit to any system.
The basis of monitoring are metrics that combined with application measurements can provide trending insights, bottleneck understanding and provide valuable feedback about your growing site.
Southeast Linuxfest -- MySQL User Admin Tips & TricksDave Stokes
MySQL User Administration is viewed as a 'dark art' but is actually very simple. This presentation covers the pitfalls that novice DBAs plunge into and covers how to keep your data safe
These are the slides I used to present "MySQL Performance Schema" at FOSSASIA, 2015 Singapore. It gives an overview of Performance Schema and also explains how it could be used to diagnose issues using few use cases.
SQL tuning An execution plan is the output of the optimizer and is presented to the execution engine for
implementation. It instructs the execution engine about the operations that it must perform for
most efficiently retrieving the data required by a query.
The EXPLAIN PLAN statement gathers execution plans chosen by the Oracle optimizer for
the SELECT, UPDATE, INSERT, and DELETE statements. The steps of the execution plan are
not performed in the order in which they are numbered. There is a parent-child relationship
between steps. The row source tree is the core of the execution plan. It shows the following
information: • An ordering of the tables referenced by the statement
• An access method for each table mentioned in the statement
• A join method for tables affected by join operations in the statement
• Data operations, such as filter, sort, or aggregation
In addition to the row source tree (or data flow tree for parallel operations), the plan table
contains information about the following:
• Optimization, such as the cost and cardinality of each operation
• Partitioning, such as the set of accessed partitions
• Parallel execution, such as the distribution method of join inputs
The EXPLAIN PLAN results help you determine whether the optimizer selects a particular When you tune a SQL statement in an OLTP environment, the goal is to drive from the table
that has the most selective filter. This means that there are fewer rows passed to the next
step. If the next step is a join, this means fewer rows are joined. Check to see whether the
access paths are optimal. When you examine the optimizer execution plan, check to confirm
the following:
• The plan is such that the driving table has the best filter.
• The join order in each step means that the fewest number of rows are returned to the
next step (that is, the join order should reflect going to the best not-yet-used filters).
• The join method is appropriate for the number of rows being returned. For example,
nested loops joins through indexes may not be optimal when many rows are returned.
• Views are used efficiently. Look at the SELECT list to see whether access to the view is
necessary.
• There are any unintentional Cartesian products (even with small tables).
• Each table is being accessed efficiently. Consider the predicates in the SQL statement and the number of rows in the table. Look for suspicious activity, such as a full table
scan on tables with large number of rows, which have predicates in the WHERE clause.
Also, a full table scan might be more efficient on a small table, or to leverage a better
join method (for example, hash join) for the number of rows returned.
If any of these conditions are not optimal, consider restructuring the SQL statement or the
indexes available on the tables. There are many ways to retrieve execution plans inside the database. The most well known
ones are listed in the slide:
• The EXPLAIN PLAN command enables you to view the execution plan that the
opt
The Drizzle Project is a fork of the MySQL 6.0 server. One of the many goals of Drizzle is to enable a large plugin ecosystem by improving, simplifying, and modernizing the application programming interfaces between the kernel and the modules providing services for Drizzle. This tutorial serves to showcase the new APIs for Drizzle's replication through a series of in-depth examples.
Overview of the performance monitoring tools in MySQL: Performance counters, performance schema, SYS schema. Analyzing MySQL performance with performance_schema.
Presentation on the Batch JSR (JSR-352) in JavaOne India, Hyderabad 2013.
Thanks to http://www.slideshare.net/reza_rahman and http://www.slideshare.net/arungupta1 for the source slides.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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/
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
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
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.