MySQL High Availability Solutions
Avoid loss of service by reducing the risk of failures
MySQL InnoDB Cluster
Collection of products that work together to provide a complete High Availability solution for MySQL
MySQL InnoDB ReplicaSet
Administer a set of MySQL instances running asynchronous replication
MySQL NDB Cluster
A high-availability, high-redundancy version of MySQL adapted for the distributed computing environment
Presentation of some of the new features of MySQL 8.0.16 released on April 25, 2019
Agenda:
➢ mysql_upgrade is no longer necessary
➢ CHECK Constraints
➢ Constant-Folding Optimization
➢ SYSTEM_USER & partial_revokes
➢ Chinese collation for utf8mb4
➢ Performance Schema keyring_keys table
➢ MySQL Shell Enhancements
➢ MySQL Router Enhancements
➢ InnoDB Cluster Enhancements
➢ Group Replication Enhancements
➢ Size of the binary tarball for Linux
➢ Server quick settings validation
Summary of the MySQL 8.0.22 new features, released on October 19th, 2020.
==
== Highlights
==
Read Only Schema
Error Log Table
Periodic Synchronization For SELECT INTO DUMPFILE|OUTFILE
Libmysql Support For DNS SRV
MySQL Shell Enhancements
> Table dump utility
> Table export utility
MySQL Router Enhancements
> Enable REST API at bootstrap
> Scale routing core to 50k connections
MySQL Replication Enhancements
> Automatic Asynchronous Replication Connection Failover
MySQL NDB Cluster Enhancements
> Support for IPv6 addresses
> Encrypted backup
MySQL Enterprise New Features
> MySQL Enterprise Backup
> Keyring plugin for Oracle Cloud Infrastructure Vault
Thanks to the Contributors
> Krunal Bauskar
> Eric Beuque
> Facebook
> Kamil Holubicki
> Kan Liyong
> Javier Matos Odut
> Gord Thomson
> Andrey Turbanov
> TXSQL (Tencent MySQL)
> Daniël van Eeden
> Xiaoyu Wang
> Denis Yarkovoy
==
== Follow me
==
Blog EN : http://dasini.net/blog/en/
Blog FR : http://dasini.net/blog/fr/
Twitter : https://twitter.com/freshdaz
Youtube : https://www.youtube.com/channel/UC12TulyJsJZHoCmby3Nm3WQ
Slideshare : https://www.slideshare.net/freshdaz
Summary of the MySQL 8.0.21 new features, released on July 13th, 2020.
==
== Highlights
==
Runtime Disabling InnoDB Redo Log
JSON_VALUE function
CREATE TABLE... SELECT statement is atomic
Per-user Comments & Attributes
MySQL Document Store Enhancements
> JSON Schema validation
MySQL Shell Enhancements
> Logical Dump Utilities
> Logical Load Utility
> Tagging the Metadata
MySQL Router Enhancements
> Hide instances from client traffic
MySQL InnoDB Cluster Enhancements
> Hide & mark nodes
MySQL Group Replication Enhancements
> Default response to network partitions has changed
> Binary Log Checksums Support for Group Replication
> Specify Recovery IP Addresses
Thanks to the Contributors
Summary of the MySQL 8.0.19 new features, released on January 13th, 2020.
==
== Highlights
==
* InnoDB ReplicaSet
* SQL Improvements
=> Table Value Constructors
=> LIMIT in recursive CTE
=> ALTER TABLE… DROP/ALTER CONSTRAINT
=> More information to Duplicate Key Error
* Account Management Enhancements
* Time zone offset for Timestamp & Datetime
* Information Schema views for SQL Roles
* MySQL Document Store Enhancements
* MySQL Shell Enhancements
* MySQL Router Enhancements
* MySQL InnoDB Cluster Enhancements
* MySQL Replication Enhancements
* MySQL NDB Cluster Enhancements
* MySQL Enterprise New Features
* Thanks to the Contributors
Presentation of some of the new features of MySQL 8.0.16 released on April 25, 2019
Agenda:
➢ mysql_upgrade is no longer necessary
➢ CHECK Constraints
➢ Constant-Folding Optimization
➢ SYSTEM_USER & partial_revokes
➢ Chinese collation for utf8mb4
➢ Performance Schema keyring_keys table
➢ MySQL Shell Enhancements
➢ MySQL Router Enhancements
➢ InnoDB Cluster Enhancements
➢ Group Replication Enhancements
➢ Size of the binary tarball for Linux
➢ Server quick settings validation
Summary of the MySQL 8.0.22 new features, released on October 19th, 2020.
==
== Highlights
==
Read Only Schema
Error Log Table
Periodic Synchronization For SELECT INTO DUMPFILE|OUTFILE
Libmysql Support For DNS SRV
MySQL Shell Enhancements
> Table dump utility
> Table export utility
MySQL Router Enhancements
> Enable REST API at bootstrap
> Scale routing core to 50k connections
MySQL Replication Enhancements
> Automatic Asynchronous Replication Connection Failover
MySQL NDB Cluster Enhancements
> Support for IPv6 addresses
> Encrypted backup
MySQL Enterprise New Features
> MySQL Enterprise Backup
> Keyring plugin for Oracle Cloud Infrastructure Vault
Thanks to the Contributors
> Krunal Bauskar
> Eric Beuque
> Facebook
> Kamil Holubicki
> Kan Liyong
> Javier Matos Odut
> Gord Thomson
> Andrey Turbanov
> TXSQL (Tencent MySQL)
> Daniël van Eeden
> Xiaoyu Wang
> Denis Yarkovoy
==
== Follow me
==
Blog EN : http://dasini.net/blog/en/
Blog FR : http://dasini.net/blog/fr/
Twitter : https://twitter.com/freshdaz
Youtube : https://www.youtube.com/channel/UC12TulyJsJZHoCmby3Nm3WQ
Slideshare : https://www.slideshare.net/freshdaz
Summary of the MySQL 8.0.21 new features, released on July 13th, 2020.
==
== Highlights
==
Runtime Disabling InnoDB Redo Log
JSON_VALUE function
CREATE TABLE... SELECT statement is atomic
Per-user Comments & Attributes
MySQL Document Store Enhancements
> JSON Schema validation
MySQL Shell Enhancements
> Logical Dump Utilities
> Logical Load Utility
> Tagging the Metadata
MySQL Router Enhancements
> Hide instances from client traffic
MySQL InnoDB Cluster Enhancements
> Hide & mark nodes
MySQL Group Replication Enhancements
> Default response to network partitions has changed
> Binary Log Checksums Support for Group Replication
> Specify Recovery IP Addresses
Thanks to the Contributors
Summary of the MySQL 8.0.19 new features, released on January 13th, 2020.
==
== Highlights
==
* InnoDB ReplicaSet
* SQL Improvements
=> Table Value Constructors
=> LIMIT in recursive CTE
=> ALTER TABLE… DROP/ALTER CONSTRAINT
=> More information to Duplicate Key Error
* Account Management Enhancements
* Time zone offset for Timestamp & Datetime
* Information Schema views for SQL Roles
* MySQL Document Store Enhancements
* MySQL Shell Enhancements
* MySQL Router Enhancements
* MySQL InnoDB Cluster Enhancements
* MySQL Replication Enhancements
* MySQL NDB Cluster Enhancements
* MySQL Enterprise New Features
* Thanks to the Contributors
MySQL InnoDB Cluster provides a complete, high-availability solution for MySQL. Learn how with a few easy-to-use Shell commands, how to set up a MySQL database architecture.
2007 MySQL Conference and Expo 90 minute presentation specifically targeting Oracle Developers and DBAs. Topics included.
*DBA Tips, Tricks, Gotcha's & Tools
* Key Differences for Developers
* Migrating from Oracle to MySQL
MySQL is a SQL database that also does NoSQL. You can access data in the InnoDB or NDB storage engines as a key/value pair at amazing speeds while retaining simultaneous SQL access of the same data. Plus MySQL 5.7 features a new native JSON data type
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...Olivier DASINI
MySQL InnoDB Cluster delivers an integrated, native, HA solution for your databases. MySQL InnoDB Cluster consists of:
MySQL Servers with Group Replication to replicate data to all members of the cluster while providing fault tolerance, automated failover, and elasticity.
MySQL Router to ensure client requests are load balanced and routed to the correct servers in case of any database failures.
MySQL Shell to create and administer InnoDB Clusters using the built-in AdminAPI.
MySQL 8.0 is the latest Generally Available version of MySQL. This session will help you upgrade from older versions, understand what utilities are available to make the process smoother and also understand what you need to bear in mind with the new version and considerations for possible behavior changes and solutions.
The presentation covers the main features of the MySQL, installation steps, architecture overview, basic administration practices and the Enterprise Edition features. Usually Live demos will accompany this slides.
Need a preview of the exciting new features added to MySQL 8.0? Better Unicode support, better JSON and document handling. Find out what else did we improve in MySQL 8.0. Get the presentation on MySQL server 8.0.
MySQL has a set of utilities written in Python that can do some amazing things for your MySQL instances from setting up replication with automatic fail over to copying database
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.
MySQL Database Service - 100% Developed, Managed and Supported by the MySQL TeamOlivier DASINI
MySQL Database Service Overview
#1 Open Source Database
100% Developed by the MySQL Team
100% Managed by the MySQL Team
100% Supported by the MySQL Team
100% Built on MySQL Enterprise Edition
100% Up to date with the latest security fixes
100% Compatible with on-premises MySQL
100% Compatible with Oracle technologies
MySQL for Oracle Developers and the companion MySQL for Oracle DBA's were two presentations for the 2006 MySQL Conference and Expo. These were specifically designed for Oracle resources to understand the usage, syntax and differences between MySQL and Oracle.
MySQL InnoDB cluster provides a complete high availability solution for MySQL.
MySQL Shell includes AdminAPI which enables you to easily configure and administer a group of at least three MySQL server instances to function as an InnoDB cluster.
Each MySQL server instance runs MySQL Group Replication, which provides the mechanism to replicate data within InnoDB clusters, with built-in failover.
MySQL Router can automatically configure itself based on the cluster you deploy, connecting client applications transparently to the server instances.
Moodle Moot Spain: Moodle Available and Scalable with MySQL HA - InnoDB Clust...Keith Hollman
When we start off with Moodle and the MySQL instance, we're working and it's all going smoothly. But, then, a pandemic hits, and everything goes remote .This means that our online systems are more stressed, and especially Moodle. Here we hope to help you understand how MySQL can help, the difference between InnoDB Cluster and InnoDB Replicaset, the components that make up each solution, and therefore, decide on which of the 2 solutions will help Moodle cope with the new load and keep your business running as usual, or better. All this, with no changes to the application, whether it's Cluster or Replicaset. Completely transparent.
MySQL InnoDB Cluster provides a complete, high-availability solution for MySQL. Learn how with a few easy-to-use Shell commands, how to set up a MySQL database architecture.
2007 MySQL Conference and Expo 90 minute presentation specifically targeting Oracle Developers and DBAs. Topics included.
*DBA Tips, Tricks, Gotcha's & Tools
* Key Differences for Developers
* Migrating from Oracle to MySQL
MySQL is a SQL database that also does NoSQL. You can access data in the InnoDB or NDB storage engines as a key/value pair at amazing speeds while retaining simultaneous SQL access of the same data. Plus MySQL 5.7 features a new native JSON data type
MySQL Day Paris 2018 - MySQL InnoDB Cluster; A complete High Availability sol...Olivier DASINI
MySQL InnoDB Cluster delivers an integrated, native, HA solution for your databases. MySQL InnoDB Cluster consists of:
MySQL Servers with Group Replication to replicate data to all members of the cluster while providing fault tolerance, automated failover, and elasticity.
MySQL Router to ensure client requests are load balanced and routed to the correct servers in case of any database failures.
MySQL Shell to create and administer InnoDB Clusters using the built-in AdminAPI.
MySQL 8.0 is the latest Generally Available version of MySQL. This session will help you upgrade from older versions, understand what utilities are available to make the process smoother and also understand what you need to bear in mind with the new version and considerations for possible behavior changes and solutions.
The presentation covers the main features of the MySQL, installation steps, architecture overview, basic administration practices and the Enterprise Edition features. Usually Live demos will accompany this slides.
Need a preview of the exciting new features added to MySQL 8.0? Better Unicode support, better JSON and document handling. Find out what else did we improve in MySQL 8.0. Get the presentation on MySQL server 8.0.
MySQL has a set of utilities written in Python that can do some amazing things for your MySQL instances from setting up replication with automatic fail over to copying database
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.
MySQL Database Service - 100% Developed, Managed and Supported by the MySQL TeamOlivier DASINI
MySQL Database Service Overview
#1 Open Source Database
100% Developed by the MySQL Team
100% Managed by the MySQL Team
100% Supported by the MySQL Team
100% Built on MySQL Enterprise Edition
100% Up to date with the latest security fixes
100% Compatible with on-premises MySQL
100% Compatible with Oracle technologies
MySQL for Oracle Developers and the companion MySQL for Oracle DBA's were two presentations for the 2006 MySQL Conference and Expo. These were specifically designed for Oracle resources to understand the usage, syntax and differences between MySQL and Oracle.
MySQL InnoDB cluster provides a complete high availability solution for MySQL.
MySQL Shell includes AdminAPI which enables you to easily configure and administer a group of at least three MySQL server instances to function as an InnoDB cluster.
Each MySQL server instance runs MySQL Group Replication, which provides the mechanism to replicate data within InnoDB clusters, with built-in failover.
MySQL Router can automatically configure itself based on the cluster you deploy, connecting client applications transparently to the server instances.
Moodle Moot Spain: Moodle Available and Scalable with MySQL HA - InnoDB Clust...Keith Hollman
When we start off with Moodle and the MySQL instance, we're working and it's all going smoothly. But, then, a pandemic hits, and everything goes remote .This means that our online systems are more stressed, and especially Moodle. Here we hope to help you understand how MySQL can help, the difference between InnoDB Cluster and InnoDB Replicaset, the components that make up each solution, and therefore, decide on which of the 2 solutions will help Moodle cope with the new load and keep your business running as usual, or better. All this, with no changes to the application, whether it's Cluster or Replicaset. Completely transparent.
MySQL InnoDB Cluster - Meetup Oracle MySQL / AFUP ParisOlivier DASINI
MySQL InnoDB cluster is a collection of products that work together to provide a complete High Availability solution for MySQL. A group of MySQL servers can be configured to create a cluster using MySQL Shell.
An outline on why the MySQL 8 release is viewed as a gamechanger with a look at some of the new features like CTEs, Window Functions, MySQL InnoDB Cluster, Enterprise Data Masking, and more
This reference architecture is meant to be used for a very easy assocation based on the characteristics of your apps whether it is small, medium, large, or even social network. So if you are now aspiring to be mimic Mark Zuckerberg, make sure you use the social network architecture we have here and you'll be on your way.
For a dose of MySQL blogging in Bahasa Indonesia, visit www.dbmsboy.com
Salam sejahtera!
MySQL InnoDB Cluster HA Overview & DemoKeith Hollman
Take a look at the High Availability option that you can use with your out-of-the-box MySQL: MySQL InnoDB Cluster. With MySQL Server 8.0, MySQL Shell & MySQL Router you can convert from single-primary to multi-primary and back again, in a single command. Want to know how?
Need to dive into #MySQL suddenly and find out, briefly, what can be done with MySQL technology? NoSQL, MySQL 8.0, Highly Available, InnoDB Cluster & MySQL Cluster both Community & Enterprise Edition. It's all here.
Mysql User Camp : 20-June-14 : Mysql New features and NoSQL SupportMysql User Camp
This slide was presented at Mysql User Camp Event on 20-June-14 at Oracle bangalore. This presentation gives a good insight about New Features in Mysql 5.7 DMR 4 and Nosql Support in Mysql.
MySQL Day Paris 2018 - Upgrade from MySQL 5.7 to MySQL 8.0Olivier DASINI
Upgrading is a common procedure, as you pick up bug fixes within the same MySQL release series or significant features between major MySQL releases. You perform this procedure first on some test systems to make sure everything works smoothly, and then on the production systems.
MySQL Day Paris 2018 - MySQL JSON Document StoreOlivier DASINI
NoSQL + SQL = MySQL
MySQL Document Store allows developers to work with SQL relational tables and schema-less JSON collections. To make that possible MySQL has created the X Dev API which puts a strong focus on CRUD by providing a fluent API allowing you to work with JSON documents in a natural way. The X Protocol is a highly extensible and is optimized for CRUD as well as SQL API operations.
MySQL Document store gives users maximum flexibility developing traditional SQL relational applications and NoSQL schema-free document database applications. This eliminates the need for a separate NoSQL document database. Developers can mix and match relational data and JSON documents in the same database as well as the same application. For example, both data models can be queried in the same application and results can be in table, tabular or JSON formats.
The MySQL Document Store architecture consists of the following components:
Native JSON Document Storage - MySQL provides a native JSON datatype is efficiently stored in binary with the ability to create virtual columns that can be indexed. JSON Documents are automatically validated.
X Plugin - The X Plugin enables MySQL to use the X Protocol and uses Connectors and the Shell to act as clients to the server.
X Protocol - The X Protocol is a new client protocol based on top of the Protobuf library, and works for both, CRUD and SQL operations.
X DevAPI - The X DevAPI is a new, modern, async developer API for CRUD and SQL operations on top of X Protocol. It introduces Collections as new Schema objects. Documents are stored in Collections and have their dedicated CRUD operation set.
MySQL Shell - The MySQL Shell is an interactive Javascript, Python, or SQL interface supporting development and administration for the MySQL Server. You can use the MySQL Shell to perform data queries and updates as well as various administration operations.
MySQL Connectors - The following MySQL Connectors support the X Protocol and enable you to use X DevAPI in your chosen language.
MySQL Connector/Node.js
MySQL Connector/PHP
MySQL Connector/Python
MySQL Connector/J
MySQL Connector/NET
MySQL Connector/C++
MySQL Day Paris 2018 - What’s New in MySQL 8.0 ?Olivier DASINI
MySQL powers the most demanding Web, E-commerce, SaaS and Online Transaction Processing (OLTP) applications. It is a fully integrated transaction-safe, ACID compliant database with full commit, rollback, crash recovery and row level locking capabilities. MySQL delivers the ease of use, scalability, and performance to power Facebook, Google, Twitter, Uber, and Booking.com.
MySQL 8.0 includes significant performance, security and developer productivity improvements enabling the next generation of web, mobile, embedded and Cloud applications.
MySQL 8.0 delivers:
New! Document Store for developing both SQL and NoSQL document applications using a single database.
New! Transactional Data Dictionary implemented as a set of SQL tables stored in a single InnoDB tablespace.
New! SQL Roles for granting and denying permissions to groups of users, greatly reducing the security workload.
New! Default to utf8mb4 character set for richer mobile applications and international character sets.
New! Common Table Expressions also known as WITH queries have been added to MySQL 8.0.
New! Window Functions to reduce code complexity and help developers be more productive.
New! Invisible Indexes to better manage software upgrades and database changes for applications that run 24x7.
MySQL is the world's most popular open source database. Whether you are a fast growing web property, technology ISV or large enterprise, MySQL can cost-effectively help you deliver high performance, scalable database applications.
MySQL JSON Document Store - A Document Store with all the benefits of a Trans...Olivier DASINI
SQL + NoSQL = MySQL
MySQL Document Store allows developers to work with SQL relational tables and schema-less JSON collections. To make that possible MySQL has created the X Dev API which puts a strong focus on CRUD by providing a fluent API allowing you to work with JSON documents in a natural way. The X Protocol is a highly extensible and is optimized for CRUD as well as SQL API operations.
MySQL powers the most demanding Web, E-commerce, SaaS and Online Transaction Processing (OLTP) applications.
It is a fully integrated transaction-safe, ACID compliant database with full commit, rollback, crash recovery and row level locking capabilities.
MySQL delivers the ease of use, scalability, and performance to power Facebook, Google, Twitter, Uber, Booking.com and many more...
MySQL Document Store - A Document Store with all the benefts of a Transactona...Olivier DASINI
MySQL Document Store allows developers to work with SQL relational tables and schema-less JSON collections. To make that possible MySQL has created the X Dev API which puts a strong focus on CRUD by providing a fluent API allowing you to work with JSON documents in a natural way. The X Protocol is a highly extensible and is optimized for CRUD as well as SQL API operations.
MySQL Day Paris 2016 - Introducing Oracle MySQL Cloud ServiceOlivier DASINI
MySQL Day Paris 2016 - Introducing Oracle MySQL Cloud
MySQL Cloud Service Offering
• Simple:
– Quickly provision MySQL database instances with only a few clicks
• Automated:
– Database management made easy with tools that automate administrative tasks
• Integrated:
– Integrated with Oracle Cloud Services for quick development and deployment
• Enterprise Ready:
– Oracle’s proven MySQL Enterprise Edition for performance, security & uptime
MySQL Day Paris 2016 - MySQL as a Document StoreOlivier DASINI
MySQL Day Paris 2016 - MySQL as a Document Store
✔ Built on Proven SQL/InnoDB/Replication
✔ Schema-less/Relational/Hybrid
✔ ACID/Transactions
✔ CRUD/JSON/Documents
✔ Modern Dev API
✔ Modern/Efficient Protocol
✔ SQL Queries/Analytics over JSON Documents
✔ Transparent and Easy HA/Scaling/Sharding
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
81. When TO consider MySQL NDB Cluster
You need High Availability 6-9’s (and strong consistency)
You need Sharding, either due to size or write performance
You need Linear Scalabillity when adding more nodes
You need predictable Real-time response times
– SQL and cross shard join support
You want a ACID distributed in-memory database
81
83. MySQL NDB Cluster Architecture
Multiple data nodes form a cluster
Shared nothing architecture
Data is automatically distributed to data nodes
83
84. MySQL NDB Cluster Architecture - Replicas
Copy of 1
Copy of 1
Multiple copies of data are maintained for availability
A group of data nodes shares the same data
1 - 4 replicas/copies of data can be configured
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85. User-id (PK) Service Data
1773467253 chat xxx
6257346892 chat xxx
1773467253 photos xxx
7234782739 photos xxx
8235602099 reminders xxx
8437829249 location xxx
MySQL Cluster Data Nodes
Partition Key
Data distribution
Auto-partitioning and distribution
– No name-node or central master
Each dataset is split into fragments and
distributed across data nodes.
Within a cluster data is always consistent.
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86. Writing data “ACID”
Data
Memory
Flush writes to disk in
background checkpoints
Commit Log (REDO)
writes
…
time
…
Data in MySQL Cluster is written to memory
and disk in a way that allows real-time
access and recovery
Memory is locked so it won’t swap
Writes go to data memory and commit log
Background process checkpoints data
memory for recovery
Reads always happen from memory -
not from disk
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87. MySQL NDB Cluster Use Cases
Key-Value store
+ High Availability, Scale-Out, Durability
Transactional object store
+ Multi row transactions and consistency
Relational database with MySQL Server front-ends
+ SQL joins, foreign keys, triggers, stored procedures, generated columns, JSON
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