Buytaert kris my_sql-pacemaker

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

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.

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

Live from the International PHP Conference 2013: MySQL Cluster is a distributed, auto-sharding database offering 99,999% high availability. It runs on Rasperry PI as well as on a cluster of multi-core machines. A 30 node cluster was able to deliver 4.3 billion (not million) read transactions per second in 2012. Take a deeper look into the theory behind all the MySQL replication/clustering solutions (including 3rd party) and learn how they differ.

This presentation is aim to give an initial understanding of how MySQL/Galera works, and some advice.

This document discusses how to achieve high availability in PHP/MySQL applications using the mysqlnd driver. It describes different MySQL high availability configurations including master-slave replication, multi-master replication using Galera or NDB Cluster, and how mysqlnd's mysqlnd_ms plugin allows applications to connect to these clustered MySQL instances in a highly available manner by handling failover between nodes. The document provides examples of mysqlnd_ms connection configuration for both master-slave and multi-master setups.

we will discuss important topics related to multi-master setups: * Practical considerations when using Galera in a multi-master setup * Evaluating the characteristics of your database workload * Preparing your application for multi-master * Detecting and dealing with transaction conflicts

The document provides a history of high availability clustering technologies, including Heartbeat, OpenAIS/Corosync, Pacemaker, and DRBD. It discusses how these projects have evolved over time, with Heartbeat focusing only on messaging, OpenAIS/Corosync providing improved scalability, Pacemaker controlling resources and supporting multiple stacks, and DRBD enabling shared storage across nodes. It also outlines future directions like Pacemaker Cloud for cloud deployments and stretch clusters for multi-site scalability.

Using Galera Cluster for MySQL in different architectures in LAN, WAN, load balancers and other solutions. Comes with several benchmarks.

Slides for the webinar held on January 21st 2014 Repair & Recovery for your MySQL, MariaDB & MongoDB / TokuMX Clusters Galera Cluster, NDB Cluster, VIP with HAProxy and Keepalived, MongoDB Sharded Cluster, etc. all have their own availability models. We are aware of these availability models and will demonstrate in this webinar how to take corrective action in case of failures via our cluster management tool, ClusterControl. In this webinar, Severalnines CTO Johan Andersson will show you how to leverage ClusterControl to detect failures in your database cluster and automatically repair them to maximize the availability of your database services. And Codership CEO Seppo Jaakola will be joining Johan to provide a deep-dive into Galera recovery internals. Agenda: Redundancy models for Galera, NDB and MongoDB/TokuMX Failover & Recovery (Automatic vs Manual) Zooming into Galera recovery procedures Split brains in multi-datacenter setups

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.

We will show the advantages of having a geo-distributed database cluster and how to create one using Galera Cluster for MySQL. We will also discuss the configuration and status variables that are involved and how to deal with typical situations on the WAN such as slow, untrusted or unreliable links, latency and packet loss. We will demonstrate a multi-region cluster on Amazon EC2 and perform some throughput and latency measurements in real-time (video http://galeracluster.com/videos/using-galera-replication-to-create-geo-distributed-clusters-on-the-wan-webinar-video-3/)

Codership provides high availability, no-data-loss, and scalable data replication and clustering solutions for open source databases to securely store customers' valuable data. They do this through solutions like Galera replication which allows for synchronous multi-master replication across MariaDB and MySQL database clusters.

This document provides an overview and agenda for a presentation on MySQL 5.6 performance tuning and best practices. The presentation covers analyzing MySQL workload and internals, performance improvements in MySQL 5.6 and 5.7, benchmark results, and pending issues. It emphasizes the importance of monitoring systems to understand performance bottlenecks and the need for an iterative process of monitoring, tuning, optimizing, and improving database performance over time.

The document provides best practices for performance tuning MySQL databases. It discusses benchmarking and profiling concepts, sources of performance problems like inefficient schemas and indexes, and SQL coding practices. It also recommends tuning server parameters and provides tools for benchmarking, profiling, and optimizing performance.

Introduction to Galera clustering with MySQL. Installation, configuration, startup, internal architecture, replication topologies, load balancers, benchmarks.

In this webinar, we will describe how to get started with Galera Cluster and build a functional multi-master cluster. First, will show how to easily install the required packages using the new preferred installation method – the dedicated Galera package repository. Then we will discuss the important Galera configuration settings and how to select values for them. Finally, we will demonstrate how to bootstrap a 3-node Galera installation with the right sequence of steps. Once the nodes are up and running we will discuss how to monitor the health of the cluster and which status variables are important to watch. Galera Cluster is trusted by thousands of users. Galera Cluster powers Percona XtraDB Cluster and MariaDB Enterprise Cluster. This is a webinar presented by Codership, the developers and experts of Galera Cluster.

The document discusses touch and gesture handling in modern web applications. It covers touch events like touchstart, touchmove, touchend and their mouse event equivalents. It also describes how to implement swipe/scroll gestures, zooming functionality using touch inputs, and pull to refresh features using touchstart and touchmove events. Key aspects covered include detecting swipe direction, translating pages on swipe, handling touch and click events for links and taps, and transforming elements on zoom gestures.

Linux High Availability provides information on configuring high availability clusters in Linux. It discusses: - Key components of HA clustering including one service taking over work of another if it fails, IP and service takeover. - The importance of high availability and costs of downtime for businesses. Statistics show significant downtime even at 99.9% availability levels. - Best practices for HA including keeping configurations simple, preparing for failures, and testing HA setups. Complexity increases reliability risks.

Linux High Availability provides concise summaries of key concepts: - High availability (HA) clustering allows services to take over work from others that go down, through IP and service takeover. It is designed for uptime, not performance or load balancing. - Downtime is expensive for businesses due to lost revenue and customer dissatisfaction. Statistics show significant drops in availability even at 99.9% uprates. - To achieve high availability, systems must be designed with simplicity, failure preparation, and reliability testing in mind. Complexity often undermines reliability. - Myths exist around technologies like virtualization and live migration providing complete high availability solutions. True HA requires eliminating all single points of

A presentation about how to make MySQL highly available, presented at the San Francisco MySQL Meetup (http://www.sfmysql.org/events/15760472/) on January 26th, 2011. A video recording of this presentation is available from Ustream: http://ustre.am/fyLk

This document discusses various high availability solutions for MySQL databases. It begins with an overview of high availability concepts and considerations. It then summarizes MySQL replication, disk replication using DRBD, shared storage, and MySQL Cluster. Other high availability tools mentioned include Pacemaker, Galera replication, MMM, Tungsten Replicator, Red Hat Cluster Suite, Solaris Cluster, and Flipper. The document provides information on how these different techniques can be used to add redundancy and eliminate single points of failure for MySQL databases.

This document discusses various high availability solutions for MySQL databases. It begins with an overview of high availability concepts and considerations. It then covers MySQL replication, disk replication using DRBD, MySQL Cluster, and other tools like Pacemaker, Galera replication, MMM, Tungsten Replicator, Red Hat Cluster Suite, Solaris Cluster, and Flipper. The document provides details on how each solution works and its advantages and disadvantages for providing redundancy and high availability for MySQL databases.

- MySQL HA can be achieved with solutions like shared storage (DRBD), replication, MySQL Cluster, or Linux HA/Pacemaker. - Linux HA/Pacemaker provides high availability by managing resources across nodes and ensuring that services are running on an available node if one fails. - It uses a central configuration (CIB) to define resources, constraints between them, and monitor their status to determine the optimal placement of resources across nodes.

Pacemaker is a high availability cluster resource manager that can be used to provide high availability for MySQL databases. It monitors MySQL instances and replicates data between nodes using replication. If the primary MySQL node fails, Pacemaker detects the failure and fails over to the secondary node, bringing the MySQL service back online without downtime. Pacemaker manages shared storage and virtual IP failover to ensure connections are direct to the active MySQL node. It is important to monitor replication state and lag to ensure data consistency between nodes.

This document discusses strategies for maintaining very large MySQL tables that have grown too big. It recommends creating a new database server with different configuration settings like InnoDB file per table to reduce size, using tools like MySQLTuner and tuning-primer to analyze settings, archiving old historical data with ptArchiver to reduce table sizes, and considering partitioning or changing the MySQL version. Monitoring tools like InnoDB status, global status, cacti and innotop are recommended to analyze server performance.

MariaDB MaxScale is a database proxy that abstracts database clusters to simplify application development and management. It isolates complexity, provides high availability, and improves performance. MaxScale classifies queries, monitors cluster nodes, routes reads and writes, and hides failures to present a single logical database interface. Key components include intelligent routing, query classification, cluster monitoring, and extensible filtering. It provides a unified way to handle different cluster types and seamlessly handle failures and topology changes.

This document provides a summary of a presentation on practical MySQL tuning. It discusses measuring critical system resources like CPU, memory, I/O and network usage to identify bottlenecks. It also covers rough tuning of MySQL parameters like the InnoDB buffer pool size, log file size and key buffer size. Further tuning includes application optimizations like query tuning with EXPLAIN, index tuning, and schema design. The presentation also discusses scaling MySQL through approaches like caching, sharding, replication and optimizing architecture and data distribution. Regular performance monitoring is emphasized to simulate increased load and aid capacity planning.