MySQL Replication: Pros and Cons
Achieve Higher Performance, Uptime, Reliability and Simplicity
for Real-World Use Cases.
Synchronous, semi-synchronous, asynchronous replication with parallel Slave appliers.
High availability.
MySQL Replication Alternative: Pros and ConsDarpan Dinker
This document compares various MySQL replication options including asynchronous replication, semi-synchronous replication, Schooner Active Cluster synchronous replication, Oracle GoldenGate, Tungsten Replicator, and Linux DRBD. It finds that asynchronous and semi-synchronous replication in MySQL 5.5.8 have limited sustainable performance and can result in premature sharding, while Schooner Active Cluster provides a 4-5x boost in sustainable replication performance through its tightly-integrated synchronous approach. The document also includes results from the DBT2 benchmark showing differences in throughput, response time, CPU and storage utilization, and network bandwidth across the different solutions.
This document provides an introduction to parallel synchronous replication using Percona XtraDB Cluster (PXC). It discusses the limitations of traditional MySQL replication and how PXC implements a data-centric approach with synchronous multi-master replication between nodes. Key features of PXC highlighted include parallel replication, data consistency, and automatic provisioning of new nodes. The document also covers integration with load balancers and limitations to be aware of for write-intensive or large transaction workloads.
Scaling with sync_replication using Galera and EC2Marco Tusa
Challenging architecture design, and proof of concept on a real case of study using Syncrhomous solution.
Customer asks me to investigate and design MySQL architecture to support his application serving shops around the globe.
Scale out and scale in base to sales seasons.
Webinar slides: Introducing Galera 3.0 - Now supporting MySQL 5.6Severalnines
You'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks. The benefits are clear; a globally distributed MySQL setup across regions to deliver Severalnines availability and real-time responsiveness.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
Repair & Recovery for your MySQL, MariaDB & MongoDB / TokuMX Clusters - Webin...Severalnines
This document discusses redundancy models for MySQL, MariaDB, MongoDB and TokuMX databases. It covers asynchronous replication used in MySQL replication and MongoDB/TokuMX compared to synchronous replication in Galera and NDB Cluster. The document then zooms into recovery procedures for Galera clusters and discusses how to prevent split-brain situations in multi-datacenter setups through the use of additional nodes and assigning node weights.
Webinar Slides: Migrating to Galera ClusterSeveralnines
This document discusses considerations for migrating to Galera Cluster replication from MySQL or other database systems. It covers differences in supported features between Galera and MySQL, including storage engines, tables without primary keys, auto-increment handling, and DDL processing. It also addresses multi-master conflicts, long transactions, LOAD DATA processing, and using Galera with MySQL replication. An overview of online migration is provided along with guidance on validating schemas and checking for compatibility prior to migration.
Built-in MySQL Replication is known for its capability to enable to scale reads easily. However, there are some limitations and known issues with this solution because of the asynchronous nature of this replication. This talk will describe another way of doing MySQL replication, by using synchronous replication, available in Percona XtraDB Cluster. The open source solution will be explained and compared to traditional asynchronous MySQL replication, as well as some known use cases will be described. Percona XtraDB Cluster is an, open source, high availability and high scalability solution for MySQL clustering. Features include: Synchronous replication, Multi-master replication support, Parallel replication, Automatic node provisioning.
This document summarizes and compares several solutions for multi-master replication in MySQL databases: Native MySQL replication, MySQL Cluster (NDB), Galera, and Tungsten. Native MySQL replication supports only limited topologies and has asynchronous replication. MySQL Cluster allows synchronous replication across two data centers but is limited to in-memory tables. Galera provides synchronous, row-based replication across multiple masters with automatic conflict resolution. Tungsten allows asynchronous multi-master replication to different database systems and automatic failover.
MySQL Replication Alternative: Pros and ConsDarpan Dinker
This document compares various MySQL replication options including asynchronous replication, semi-synchronous replication, Schooner Active Cluster synchronous replication, Oracle GoldenGate, Tungsten Replicator, and Linux DRBD. It finds that asynchronous and semi-synchronous replication in MySQL 5.5.8 have limited sustainable performance and can result in premature sharding, while Schooner Active Cluster provides a 4-5x boost in sustainable replication performance through its tightly-integrated synchronous approach. The document also includes results from the DBT2 benchmark showing differences in throughput, response time, CPU and storage utilization, and network bandwidth across the different solutions.
This document provides an introduction to parallel synchronous replication using Percona XtraDB Cluster (PXC). It discusses the limitations of traditional MySQL replication and how PXC implements a data-centric approach with synchronous multi-master replication between nodes. Key features of PXC highlighted include parallel replication, data consistency, and automatic provisioning of new nodes. The document also covers integration with load balancers and limitations to be aware of for write-intensive or large transaction workloads.
Scaling with sync_replication using Galera and EC2Marco Tusa
Challenging architecture design, and proof of concept on a real case of study using Syncrhomous solution.
Customer asks me to investigate and design MySQL architecture to support his application serving shops around the globe.
Scale out and scale in base to sales seasons.
Webinar slides: Introducing Galera 3.0 - Now supporting MySQL 5.6Severalnines
You'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks. The benefits are clear; a globally distributed MySQL setup across regions to deliver Severalnines availability and real-time responsiveness.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
Repair & Recovery for your MySQL, MariaDB & MongoDB / TokuMX Clusters - Webin...Severalnines
This document discusses redundancy models for MySQL, MariaDB, MongoDB and TokuMX databases. It covers asynchronous replication used in MySQL replication and MongoDB/TokuMX compared to synchronous replication in Galera and NDB Cluster. The document then zooms into recovery procedures for Galera clusters and discusses how to prevent split-brain situations in multi-datacenter setups through the use of additional nodes and assigning node weights.
Webinar Slides: Migrating to Galera ClusterSeveralnines
This document discusses considerations for migrating to Galera Cluster replication from MySQL or other database systems. It covers differences in supported features between Galera and MySQL, including storage engines, tables without primary keys, auto-increment handling, and DDL processing. It also addresses multi-master conflicts, long transactions, LOAD DATA processing, and using Galera with MySQL replication. An overview of online migration is provided along with guidance on validating schemas and checking for compatibility prior to migration.
Built-in MySQL Replication is known for its capability to enable to scale reads easily. However, there are some limitations and known issues with this solution because of the asynchronous nature of this replication. This talk will describe another way of doing MySQL replication, by using synchronous replication, available in Percona XtraDB Cluster. The open source solution will be explained and compared to traditional asynchronous MySQL replication, as well as some known use cases will be described. Percona XtraDB Cluster is an, open source, high availability and high scalability solution for MySQL clustering. Features include: Synchronous replication, Multi-master replication support, Parallel replication, Automatic node provisioning.
This document summarizes and compares several solutions for multi-master replication in MySQL databases: Native MySQL replication, MySQL Cluster (NDB), Galera, and Tungsten. Native MySQL replication supports only limited topologies and has asynchronous replication. MySQL Cluster allows synchronous replication across two data centers but is limited to in-memory tables. Galera provides synchronous, row-based replication across multiple masters with automatic conflict resolution. Tungsten allows asynchronous multi-master replication to different database systems and automatic failover.
Percona XtraDB Cluster is a high availability and high scalability solution for MySQL clustering. Percona XtraDB Cluster integrates Percona Server with the Galera synchronous replication library in a single product package which enables you to create a cost-effective MySQL cluster.
This tutorial will cover the following topics:
- Migration from standard MySQL Master-Slave Architecture to PXC
- Configuration differences between standard MySQLl and Xtradb Cluster
- How to add a node and what does SST, IST mean ? How to use them ?
- How to backup the cluster
- How to monitor the cluster
- 2 nodes servers- Why this isn't ideal but reasons and steps to setting it up anyway.
- Galera Arbitrator: Defining what it is.
- How to maintain the cluster
- Setting up load balancing for Xtradb cluster
- How to handle the cluster in the cloud
- Tips and tricks
- ... and if available cover PXC 5.6 with Galera 3 !!
9 DevOps Tips for Going in Production with Galera Cluster for MySQL - SlidesSeveralnines
Galera is a MySQL replication technology that can simplify the design of a high availability application stack. With a true multi-master MySQL setup, an application can now read and write from any database instance without worrying about master/slave roles, data integrity, slave lag or other drawbacks of asynchronous replication.
And that all sounds great until it’s time to go into production. Throw in a live migration from an existing database setup and devops life just got a bit more interesting ...
So if you are in devops, then this webinar is for you!
Operations is not so much about specific technologies, but about the techniques and tools you use to deploy and manage them. Monitoring, managing schema changes and pushing them in production, performance optimizations, configurations, version upgrades, backups; these are all aspects to consider – preferably before going live.
Let us guide you through 9 key tips to consider before taking Galera Cluster into production.
3 周彦偉-隨需而變 我所經歷的my sql架構變遷﹣周彥偉﹣acmug@2015.12台北Ivan Tu
This document discusses various MySQL database clustering and high availability techniques including replication, sharding, database pools, MySQL Fabric, master-slave replication, multi-master replication, MySQL proxy, MySQL cluster, Percona XtraDB cluster, Galera, certification-based replication, state transfers, MySQL Sentinel, and QMHA. It provides an overview and some details on configuration parameters for setting up these different MySQL clustering approaches.
Advanced Percona XtraDB Cluster in a nutshell... la suiteKenny Gryp
This document provides a hands-on tutorial for advanced Percona XtraDB Cluster users. It discusses setting up a 3 node PXC cluster environment in VirtualBox and bootstrapping the initial cluster. It then covers topics like avoiding state snapshot transfers when restarting MySQL, recovering from clean and unclean shutdowns, and reproducing and diagnosing different types of conflicts through examples.
This document discusses online migration from an existing MySQL master-slave setup to a Galera cluster. It outlines the steps to enable binary logging on the slave, dump the schema and data, load this into the first Galera node to initialize replication, and transition reads to the Galera cluster while writes continue on the master initially at 90% before being cut over fully to the cluster. Operational checklists, backup procedures, and disaster recovery options for the new Galera cluster configuration are also reviewed.
Percona XtraDB Cluster vs Galera Cluster vs MySQL Group ReplicationKenny Gryp
This document provides an overview of different database replication technologies including Galera Cluster, Percona XtraDB Cluster, and MySQL Group Replication. It discusses similarities between the technologies such as multi-master replication topologies and consistency models. Key differences are also outlined relating to node provisioning, failure handling, and operational limitations of each solution. Known issues uncovered through quality assurance testing are also briefly mentioned.
Webinar slides: 9 DevOps Tips for Going in Production with Galera Cluster for...Severalnines
This document provides an overview and agenda for a webinar on managing and monitoring MySQL clusters using ClusterControl by Severalnines. The webinar host is introduced and instructions are provided for asking questions. The webinar will cover topics such as operating system configuration, backup strategies, replication, query performance, schema changes, security, reporting, and disaster recovery. Case studies and customers are also briefly mentioned.
- Galera is a MySQL clustering solution that provides true multi-master replication with synchronous replication and no single point of failure.
- It allows high availability, data integrity, and elastic scaling of databases across multiple nodes.
- Companies like Percona and MariaDB have integrated Galera to provide highly available database clusters.
In the first part of Galera Cluster best practices series, we will discuss the following topics:
* ongoing monitoring of the cluster and detection of bottlenecks;
* fine-tuning the configuration based on the actual database workload;
* selecting the optimal State Snapshot Transfer (SST) method;
* backup strategies
(video:http://galeracluster.com/videos/2159/)
Topics covered in this presentation:
1. The difference between traditional (e.g. MySQL) replication and Galera Cluster
2. General Galera Cluster principles
Upgrading MySQL databases do not come without risk. There is no guarantee that no problems will happen if you move to a new major MySQL version.
Should we just upgrade and rollback immediately if problems occur? But what if these problems only happen a few days after migrating to this new version?
You might have a database environment that is risk-adverse, where you really have to be sure that this new MySQL version will handle the workload properly.
Examples:
- Both MySQL 5.6 and 5.7 have a lot of changes in the MySQL Optimizer. It is expected that this improves performance of my queries, but is it really the case? What if there is a performance regression? How will this affect my database performance?
- Also, there are a lot of incompatible changes which are documented in the release notes, how do I know if I'm affected by this in my workload? It's a lot to read..
- Can I go immediately from MySQL 5.5 to 5.7 and skip MySQL 5.6 even though the MySQL documentation states that this is not supported?
- Many companies have staging environments, but is there a QA team and do they really test all functionality, under a similar workload?
This presentation will show you a process, using open source tools, of these types of migrations with a focus on assessing risk and fixing any problems you might run into prior to the migration.
This process can then be used for various changes:
- MySQL upgrades for major version upgrades
- Switching storage engines
- Changing hardware architecture
Additionally, we will describe ways to do the actual migration and rollback with the least amount of downtime.
Maria DB Galera Cluster for High AvailabilityOSSCube
Want to understand how to set high availability solutions for MySQL using MariaDB Galera Cluster? Join this webinar, and learn from experts. During this webinar, you will also get guidance on how to implement MariaDB Galera Cluster.
Zero Downtime Schema Changes - Galera Cluster - Best PracticesSeveralnines
Database schema changes are usually not popular among DBAs or sysadmins, not when you are operating a cluster and cannot afford to switch off the service during a maintenance window. There are different ways to perform schema changes, some procedures being more complicated than others.
Galera Cluster is great at making your MySQL database highly available, but are you concerned about schema changes? Is an ALTER TABLE statement something that requires a lot of advance scheduling? What is the impact on your database uptime?
This is a common question, since ALTER operations in MySQL usually cause the table to be locked and rebuilt – which can potentially be disruptive to your live applications. Fortunately, Galera Cluster has mechanisms to replicate DDL across its nodes.
In these slides, you will learn about the following:
How to perform Zero Downtime Schema Changes
2 main methods: TOI and RSU
Total Order Isolation: predictability and consistency
Rolling Schema Upgrades
pt-online-schema-change
Schema synchronization with re-joining nodes
Recommended procedures
Common pitfalls/user errors
The slides are courtesy of Seppo Jaakola, CEO, Codership - creators of Galera Cluster
Topics covered in this presentation, which was used for user group meetings, conferences & webinars:
1. Galera Cluster for MySQL - overview
2. Release 3 New Features:
* WAN Replication
* 5.6 Global Transaction ID (GTID) Support
* MySQL Replication Support
* and more features
3. The Galera Cluster Project
From these slides you'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks.
ABOUT GALERA CLUSTER
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
The document discusses different types of MySQL replication including asynchronous, semi-synchronous, and synchronous. It provides pros and cons of each type and describes how they handle transaction ordering, parallelism, flow control, and consistency. The key points are that asynchronous replication has potential for data loss and stale reads, semi-synchronous reduces but does not eliminate data loss risk, while SchoonerSQL's synchronous replication guarantees no data loss and failover without stalled transactions.
Exactly-Once Financial Data Processing at Scale with Flink and PinotFlink Forward
Flink Forward San Francisco 2022.
At Stripe we have created a complete end to end exactly-once processing pipeline to process financial data at scale, by combining the exactly-once power from Flink, Kafka, and Pinot together. The pipeline provides exactly-once guarantee, end-to-end latency within a minute, deduplication against hundreds of billions of keys, and sub-second query latency against the whole dataset with trillion level rows. In this session we will discuss the technical challenges of designing, optimizing, and operating the whole pipeline, including Flink, Kafka, and Pinot. We will also share our lessons learned and the benefits gained from exactly-once processing.
by
Xiang Zhang & Pratyush Sharma & Xiaoman Dong
Percona XtraDB Cluster is a high availability and high scalability solution for MySQL clustering. Percona XtraDB Cluster integrates Percona Server with the Galera synchronous replication library in a single product package which enables you to create a cost-effective MySQL cluster.
This tutorial will cover the following topics:
- Migration from standard MySQL Master-Slave Architecture to PXC
- Configuration differences between standard MySQLl and Xtradb Cluster
- How to add a node and what does SST, IST mean ? How to use them ?
- How to backup the cluster
- How to monitor the cluster
- 2 nodes servers- Why this isn't ideal but reasons and steps to setting it up anyway.
- Galera Arbitrator: Defining what it is.
- How to maintain the cluster
- Setting up load balancing for Xtradb cluster
- How to handle the cluster in the cloud
- Tips and tricks
- ... and if available cover PXC 5.6 with Galera 3 !!
9 DevOps Tips for Going in Production with Galera Cluster for MySQL - SlidesSeveralnines
Galera is a MySQL replication technology that can simplify the design of a high availability application stack. With a true multi-master MySQL setup, an application can now read and write from any database instance without worrying about master/slave roles, data integrity, slave lag or other drawbacks of asynchronous replication.
And that all sounds great until it’s time to go into production. Throw in a live migration from an existing database setup and devops life just got a bit more interesting ...
So if you are in devops, then this webinar is for you!
Operations is not so much about specific technologies, but about the techniques and tools you use to deploy and manage them. Monitoring, managing schema changes and pushing them in production, performance optimizations, configurations, version upgrades, backups; these are all aspects to consider – preferably before going live.
Let us guide you through 9 key tips to consider before taking Galera Cluster into production.
3 周彦偉-隨需而變 我所經歷的my sql架構變遷﹣周彥偉﹣acmug@2015.12台北Ivan Tu
This document discusses various MySQL database clustering and high availability techniques including replication, sharding, database pools, MySQL Fabric, master-slave replication, multi-master replication, MySQL proxy, MySQL cluster, Percona XtraDB cluster, Galera, certification-based replication, state transfers, MySQL Sentinel, and QMHA. It provides an overview and some details on configuration parameters for setting up these different MySQL clustering approaches.
Advanced Percona XtraDB Cluster in a nutshell... la suiteKenny Gryp
This document provides a hands-on tutorial for advanced Percona XtraDB Cluster users. It discusses setting up a 3 node PXC cluster environment in VirtualBox and bootstrapping the initial cluster. It then covers topics like avoiding state snapshot transfers when restarting MySQL, recovering from clean and unclean shutdowns, and reproducing and diagnosing different types of conflicts through examples.
This document discusses online migration from an existing MySQL master-slave setup to a Galera cluster. It outlines the steps to enable binary logging on the slave, dump the schema and data, load this into the first Galera node to initialize replication, and transition reads to the Galera cluster while writes continue on the master initially at 90% before being cut over fully to the cluster. Operational checklists, backup procedures, and disaster recovery options for the new Galera cluster configuration are also reviewed.
Percona XtraDB Cluster vs Galera Cluster vs MySQL Group ReplicationKenny Gryp
This document provides an overview of different database replication technologies including Galera Cluster, Percona XtraDB Cluster, and MySQL Group Replication. It discusses similarities between the technologies such as multi-master replication topologies and consistency models. Key differences are also outlined relating to node provisioning, failure handling, and operational limitations of each solution. Known issues uncovered through quality assurance testing are also briefly mentioned.
Webinar slides: 9 DevOps Tips for Going in Production with Galera Cluster for...Severalnines
This document provides an overview and agenda for a webinar on managing and monitoring MySQL clusters using ClusterControl by Severalnines. The webinar host is introduced and instructions are provided for asking questions. The webinar will cover topics such as operating system configuration, backup strategies, replication, query performance, schema changes, security, reporting, and disaster recovery. Case studies and customers are also briefly mentioned.
- Galera is a MySQL clustering solution that provides true multi-master replication with synchronous replication and no single point of failure.
- It allows high availability, data integrity, and elastic scaling of databases across multiple nodes.
- Companies like Percona and MariaDB have integrated Galera to provide highly available database clusters.
In the first part of Galera Cluster best practices series, we will discuss the following topics:
* ongoing monitoring of the cluster and detection of bottlenecks;
* fine-tuning the configuration based on the actual database workload;
* selecting the optimal State Snapshot Transfer (SST) method;
* backup strategies
(video:http://galeracluster.com/videos/2159/)
Topics covered in this presentation:
1. The difference between traditional (e.g. MySQL) replication and Galera Cluster
2. General Galera Cluster principles
Upgrading MySQL databases do not come without risk. There is no guarantee that no problems will happen if you move to a new major MySQL version.
Should we just upgrade and rollback immediately if problems occur? But what if these problems only happen a few days after migrating to this new version?
You might have a database environment that is risk-adverse, where you really have to be sure that this new MySQL version will handle the workload properly.
Examples:
- Both MySQL 5.6 and 5.7 have a lot of changes in the MySQL Optimizer. It is expected that this improves performance of my queries, but is it really the case? What if there is a performance regression? How will this affect my database performance?
- Also, there are a lot of incompatible changes which are documented in the release notes, how do I know if I'm affected by this in my workload? It's a lot to read..
- Can I go immediately from MySQL 5.5 to 5.7 and skip MySQL 5.6 even though the MySQL documentation states that this is not supported?
- Many companies have staging environments, but is there a QA team and do they really test all functionality, under a similar workload?
This presentation will show you a process, using open source tools, of these types of migrations with a focus on assessing risk and fixing any problems you might run into prior to the migration.
This process can then be used for various changes:
- MySQL upgrades for major version upgrades
- Switching storage engines
- Changing hardware architecture
Additionally, we will describe ways to do the actual migration and rollback with the least amount of downtime.
Maria DB Galera Cluster for High AvailabilityOSSCube
Want to understand how to set high availability solutions for MySQL using MariaDB Galera Cluster? Join this webinar, and learn from experts. During this webinar, you will also get guidance on how to implement MariaDB Galera Cluster.
Zero Downtime Schema Changes - Galera Cluster - Best PracticesSeveralnines
Database schema changes are usually not popular among DBAs or sysadmins, not when you are operating a cluster and cannot afford to switch off the service during a maintenance window. There are different ways to perform schema changes, some procedures being more complicated than others.
Galera Cluster is great at making your MySQL database highly available, but are you concerned about schema changes? Is an ALTER TABLE statement something that requires a lot of advance scheduling? What is the impact on your database uptime?
This is a common question, since ALTER operations in MySQL usually cause the table to be locked and rebuilt – which can potentially be disruptive to your live applications. Fortunately, Galera Cluster has mechanisms to replicate DDL across its nodes.
In these slides, you will learn about the following:
How to perform Zero Downtime Schema Changes
2 main methods: TOI and RSU
Total Order Isolation: predictability and consistency
Rolling Schema Upgrades
pt-online-schema-change
Schema synchronization with re-joining nodes
Recommended procedures
Common pitfalls/user errors
The slides are courtesy of Seppo Jaakola, CEO, Codership - creators of Galera Cluster
Topics covered in this presentation, which was used for user group meetings, conferences & webinars:
1. Galera Cluster for MySQL - overview
2. Release 3 New Features:
* WAN Replication
* 5.6 Global Transaction ID (GTID) Support
* MySQL Replication Support
* and more features
3. The Galera Cluster Project
From these slides you'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks.
ABOUT GALERA CLUSTER
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
The document discusses different types of MySQL replication including asynchronous, semi-synchronous, and synchronous. It provides pros and cons of each type and describes how they handle transaction ordering, parallelism, flow control, and consistency. The key points are that asynchronous replication has potential for data loss and stale reads, semi-synchronous reduces but does not eliminate data loss risk, while SchoonerSQL's synchronous replication guarantees no data loss and failover without stalled transactions.
Exactly-Once Financial Data Processing at Scale with Flink and PinotFlink Forward
Flink Forward San Francisco 2022.
At Stripe we have created a complete end to end exactly-once processing pipeline to process financial data at scale, by combining the exactly-once power from Flink, Kafka, and Pinot together. The pipeline provides exactly-once guarantee, end-to-end latency within a minute, deduplication against hundreds of billions of keys, and sub-second query latency against the whole dataset with trillion level rows. In this session we will discuss the technical challenges of designing, optimizing, and operating the whole pipeline, including Flink, Kafka, and Pinot. We will also share our lessons learned and the benefits gained from exactly-once processing.
by
Xiang Zhang & Pratyush Sharma & Xiaoman Dong
The document discusses several high availability and disaster recovery options for SQL Server including failover clustering, database mirroring, log shipping, and replication. It provides examples of how different companies have implemented these technologies depending on their requirements. Key factors that influence architecture choices are downtime tolerance, deployment of technologies, and operational procedures. The document also covers SQL Server upgrade processes and how to move databases to a new datacenter while maintaining high availability.
Sql server 2016 it just runs faster sql bits 2017 editionBob Ward
SQL Server 2016 includes several performance improvements that help it run faster than previous versions:
1. Automatic Soft NUMA partitions workloads across NUMA nodes when there are more than 8 CPUs per node to avoid bottlenecks.
2. Dynamic memory objects are now partitioned by CPU to avoid contention on global memory objects.
3. Redo operations can now be parallelized across multiple tasks to improve performance during database recovery.
Flink at netflix paypal speaker seriesMonal Daxini
(1) Monal Daxini presented on Netflix's use of Apache Flink for stream processing.
(2) Netflix introduced Flink two years ago and has driven its adoption within the company.
(3) Key aspects of Netflix's Flink usage include around 2,000 routing jobs processing around 3 trillion events per day across around 10,000 containers.
Load Balancing MySQL with HAProxy - SlidesSeveralnines
Agenda:
* What is HAProxy?
* SQL Load balancing for MySQL
* Failure detection using MySQL health checks
* High Availability with Keepalived and Virtual IP
* Use cases: MySQL Cluster, Galera Cluster and MySQL Replication
* Alternative methods: Database drivers with inbuilt cluster support, MySQL proxy, MaxScale, ProxySQL
This document discusses applications that can experience performance issues when virtualized due to expensive address translation costs. It describes how virtual machines require an additional level of memory virtualization that introduces shadow page tables or nested page tables to map guest virtual addresses to machine memory. While hardware-assisted virtualization reduces exit frequencies and overhead compared to software address translation, it also makes the translation lookup more expensive due to deeper page table walks. In rare cases with very poor memory locality and high translation miss rates, the cycle costs of the two-level address translation can significantly degrade application performance when virtualized.
Extreme performance with Oracle SOA Suite 12.2, Coherence and Exalogic can be achieved by configuring the platform to take advantage of the Exalogic infrastructure and optimizing SOA Suite and Coherence settings. Key aspects include using Coherence caching to minimize database transactions, configuring optimal WebLogic and JDBC settings for InfiniBand networking, and tuning SOA Suite dehydration and caching properties. This provides significant performance gains over a traditional architecture.
Multi-Tenancy Kafka cluster for LINE services with 250 billion daily messagesLINE Corporation
Yuto Kawamura
LINE / Z Part Team
At LINE we've been operating Apache Kafka to provide the company-wide shared data pipeline for services using it for storing and distributing data.
Kafka is underlying many of our services in some way, not only the messaging service but also AD, Blockchain, Pay, Timeline, Cryptocurrency trading and more.
Many services feeding many data into our cluster, leading over 250 billion daily messages and 3.5GB incoming bytes in 1 second which is one of the world largest scale.
At the same time, it is required to be stable and performant all the time because many important services uses it as a backend.
In this talk I will introduce the overview of Kafka usage at LINE and how we're operating it.
I'm also going to talk about some engineerings we did for maximizing its performance, solving troubles led particularly by hosting huge data from many services, leveraging advanced techniques like kernel-level dynamic tracing.
FlexSC: Exception-Less System Calls - presented @ OSDI 2010Livio Soares
1) FlexSC implements efficient and flexible system calls for the multicore era by introducing exception-less system calls and syscall threads.
2) Results show MySQL throughput increased up to 40% and latency reduced 30%, and Apache throughput increased up to 115% and latency reduced 50%.
3) Synchronous system calls are expensive due to direct mode switching costs and indirect processor structure pollution costs, which exception-less system calls help reduce.
Learn about NCache Architecture to see how it can address your applications needs. Scale your .NET appilcations with NCache. NCache is an in-memory distributed cache for .NET. It also lets you cache ASP.NET Session State.
Apache Flink(tm) - A Next-Generation Stream ProcessorAljoscha Krettek
In diesem Vortrag wird es zunächst einen kurzen Überblick über den aktuellen Stand im Bereich der Streaming-Datenanalyse geben. Danach wird es mit einer kleinen Einführung in das Apache-Flink-System zur Echtzeit-Datenanalyse weitergehen, bevor wir tiefer in einige der interessanten Eigenschaften eintauchen werden, die Flink von den anderen Spielern in diesem Bereich unterscheidet. Dazu werden wir beispielhafte Anwendungsfälle betrachten, die entweder direkt von Nutzern stammen oder auf unserer Erfahrung mit Nutzern basieren. Spezielle Eigenschaften, die wir betrachten werden, sind beispielsweise die Unterstützung für die Zerlegung von Events in einzelnen Sessions basierend auf der Zeit, zu der ein Ereignis passierte (event-time), Bestimmung von Zeitpunkten zum jeweiligen Speichern des Zustands eines Streaming-Programms für spätere Neustarts, die effiziente Abwicklung bei sehr großen zustandsorientierten Streaming-Berechnungen und die Zugänglichkeit des Zustandes von außerhalb.
Slashn Talk OLTP in Supply Chain - Handling Super-scale and Change Propagatio...Rajesh Kannan S
The document discusses using OLTP systems at high scale for inventory management in Flipkart's supply chain. It describes how Flipkart uses:
- A high throughput, high concurrency inventory management system to handle reservations for orders
- Data encoding and custom transaction processing logic in the data store to improve concurrency
- Transaction buffering and slave reduction to work around performance limitations of the data store
It also discusses how Flipkart uses the Tungsten replication tool to enable real-time data propagation from MySQL databases to Vertica for operational dashboards, overcoming challenges like schema changes, transaction rollbacks, and operational overhead during database switches.
This document discusses Scality's experiences building their first Node.js project. It summarizes that the project was building a TiVo-like cloud service for 25 million users, which required high parallelism and throughput of terabytes per second. It also discusses lessons learned around logging performance, optimizing the event loop and buffers, and useful Node.js tools.
The document discusses performance improvements and new features in MySQL 5.7. Key points include:
- MySQL 5.7 shows significant performance gains over previous versions, with benchmarks showing 3x faster query performance and 82% faster connection throughput.
- New features include enhanced replication, a new optimizer cost model, performance schema improvements, and native JSON support.
- The optimizer and parser were refactored for improved maintainability, readability and stability. A new cost-based optimizer model provides better performance and tunability.
The Data Mullet: From all SQL to No SQL back to Some SQLDatadog
This document discusses Datadog's data architecture, which uses a combination of SQL and NoSQL databases. It initially used all SQL (Postgres) but found it did not scale well. It added Cassandra for durable storage and Redis for in-memory storage to improve performance and scalability. While Cassandra provided large-scale durable storage, it had issues with I/O latency on EC2. The document examines different database choices and how Datadog addressed scaling and latency issues through a hybrid "data mullet" approach using different databases for their strengths.
Replicate from Oracle to data warehouses and analyticsContinuent
Analyzing transactional data residing in Oracle databases is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading Oracle data, getting up-to-date data into your data warehouse store is a more difficult problem. VMware Continuent provides provides data replication from Oracle to data warehouses and analytics engines, to derive insight from big data for better business decisions. Learn practical tips on how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from Oracle into Hadoop, Amazon Redshift, and HP Vertica.
High Frequency Trading and NoSQL databasePeter Lawrey
This document discusses high frequency trading systems and the requirements and technologies used, including:
- HFT systems require extremely low latency databases (microseconds) and event-driven processing to minimize latency.
- OpenHFT provides low-latency logging and data storage technologies like Chronicle and HugeCollections for use in HFT systems.
- Chronicle provides microsecond-latency logging and replication between processes. HugeCollections provides high-throughput concurrent key-value storage with microsecond-level latencies.
- These technologies are useful for critical data in HFT systems where traditional databases cannot meet the latency and throughput requirements.
Ultimate SharePoint Infrastructure Best Practises Session - Isle of Man Share...Michael Noel
This document summarizes best practices for SharePoint infrastructure design presented by Michael Noel. It discusses small, medium, and large farm models with separate web, app, and database servers. Hybrid cloud scenarios including one-way and two-way topologies are presented. Ensuring high availability through techniques like SQL AlwaysOn, database mirroring, and network load balancing is also covered. The presentation concludes with discussions of security best practices, documentation, and virtualization performance monitoring.
MySQL Parallel Replication: All the 5.7 and 8.0 Details (LOGICAL_CLOCK)Jean-François Gagné
To get better replication speed and less lag, MySQL implements parallel replication in the same schema, also known as LOGICAL_CLOCK. But fully benefiting from this feature is not as simple as just enabling it.
In this talk, I explain in detail how this feature works. I also cover how to optimize parallel replication and the improvements made in MySQL 8.0 and back-ported in 5.7 (Write Sets), greatly improving the potential for parallel execution on replicas (but needing RBR).
Come to this talk to get all the details about MySQL 5.7 and 8.0 Parallel Replication.
Similar to 20 Real-World Use Cases to help pick a better MySQL Replication scheme (2012) (20)
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
National Security Agency - NSA mobile device best practices
20 Real-World Use Cases to help pick a better MySQL Replication scheme (2012)
1. MySQL Replication: Pros and Cons
Achieve Higher Performance, Uptime, Reliability and Simplicity
for Real-World Use Cases.
Darpan Dinker
VP of Engineering
Schooner Information Technology
Seed questions:
Where did get the name Schooner?
What is the migration path from MySQL to SchoonerSQL?
What about from another database distribution like Oracle database, IBM DB2, or Microsoft SQL server?
*Recap at end