MariaDB High Availability

How the MariaDB Maxscale Switchover, Failover, and Rejoin works under the hood by Esa Korhonen and Wagner Bianchi. You can watch the video of the presentation at https://www.linkedin.com/feed/update/urn:li:activity:6381185640607809536

Galera Cluster is high availabiity solution in MySQL. It benefits organizations that need synchronous and high availability solution.

Maxscale을 간단히 이해하는데 도움이 됐으면 좋겠습니다.

MaxScale is a database proxy that provides high availability and scalability for MariaDB servers. It can be used to configure load balancing of read/write connections, auto failover/switchover/rejoin using MariaDB GTID replication. Keepalived can be used with MaxScale to provide high availability by monitoring MaxScale and failing over if needed. The document provides details on setting up MariaDB replication with GTID, installing and configuring MaxScale and Keepalived. It also describes testing the auto failover functionality.

MySQL Administrator Basic course - MySQL 개요 - MySQL 설치 / 설정 - MySQL 아키텍처 - MySQL 스토리지 엔진 - MySQL 관리 - MySQL 백업 / 복구 - MySQL 모니터링 Advanced course - MySQL Optimization - MariaDB / Percona - MySQL HA (High Availability) - MySQL troubleshooting 네오클로바 http://neoclova.co.kr/

24시간 365일 서비스를 위한 MySQL DB 이중화. MySQL 이중화 방안들에 대해 알아보고 운영하면서 겪은 고민들을 이야기해 봅니다. 목차 1. DB 이중화 필요성 2. 이중화 방안 - HW 이중화 - MySQL Replication 이중화 3. 이중화 운영 장애 4. DNS와 VIP 5. MySQL 이중화 솔루션 비교 대상 - MySQL을 서비스하고 있는 인프라 담당자 - MySQL 이중화에 관심 있는 개발자

This document discusses MariaDB performance tuning and optimization. It covers common principles like tuning from the start of application development. Specific topics discussed include server hardware, OS settings, MariaDB configuration settings like innodb_buffer_pool_size, database design best practices, and query monitoring and tuning tools. The overall goal is to efficiently use hardware resources, ensure best performance for users, and avoid outages.

MySQL / MariaDB Performance Improvement Case

사례로 알아보는 MariaDB 마이그레이션 현대적인 IT 환경과 애플리케이션을 만들기 위해 우리는 오늘도 고민을 거듭합니다. 최근 들어 오픈소스 DB가 많은 업무에 적용되고 검증이 되면서, 점차 무거운 상용 데이터베이스를 가벼운 오픈소스 DB로 전환하는 움직임이 대기업의 미션 크리티컬 업무까지로 확산하고 있습니다. 이는 클라우드 환경 및 마이크로 서비스 개념 확산과도 일치하는 움직임입니다. 상용 DB를 MariaDB로 이관한 사례를 통해 마이그레이션의 과정과 효과를 살펴 볼 수 있습니다. MariaDB로 이관하는 것은 어렵다는 생각을 막연히 가지고 계셨다면 본 자료를 통해 이기종 데이터베이스를 MariaDB로 마이그레이션 하는 작업이 어렵지 않게 수행될 수 있다는 점을 실제 사례를 통해 확인하시길 바랍니다. 웨비나 동영상 https://www.youtube.com/watch?v=xRsETZ5cKz8&t=52s

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/)

MariaDB 10.0 introduces domain-based parallel replication which allows transactions in different domains to execute concurrently on replicas. This can result in out-of-order transaction commit. MariaDB 10.1 adds optimistic parallel replication which maintains commit order. The document discusses various parallel replication techniques in MySQL and MariaDB including schema-based replication in MySQL 5.6 and logical clock replication in MySQL 5.7. It provides performance benchmarks of these techniques from Booking.com's database environments.

MariaDB 10.5 binary install (바이너리 설치) - 네오클로바 DB지원사업부 1. About MariaDB 1.1 MariaDB 개요 1.2 MariaDB as a R-DBMS 1.3 Open Source Database System 2. 설치 2.1 설치 기본 정보 2.2 설치 준비 2.3 MariaDB 설치 2.4 MariaDB 시작 / 접속 / 종료 2.5 추가 설정

The document discusses new optimizer features in recent and upcoming MariaDB releases. MariaDB 10.8 introduced JSON histograms and support for reverse-ordered indexes. JSON produced by the optimizer is now valid and processible. MariaDB 10.9 added SHOW EXPLAIN FORMAT=JSON and SHOW ANALYZE can return partial results. MariaDB 10.10 enabled table elimination for derived tables and improved optimization of many-table joins. Future releases will optimize queries on stored procedures and show optimizer timing in EXPLAIN FORMAT=JSON.

When it comes to optimizing the performance of a database, DBAs have to look at everything from the OS to the network. In this session, MariaDB Enterprise Architect Manjot Singh shares best practices for getting the most out of MariaDB. He highlights recommended OS settings, important configuration and tuning parameters, options for improving replication and clustering performance and features such as query result caching.

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.

MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.

Bart Oles - Severalnines AB Organizations need an appropriate disaster recovery plan to mitigate the impact of downtime. But how much should a business invest? Designing a highly available system comes at a cost, and not all businesses and indeed not all applications need five 9's availability. We will explain fundamental disaster recovery concepts and walk you through the relevant options from the MySQL & MariaDB ecosystem to meet different tiers of disaster recovery requirements, and demonstrate how to automate an appropriate disaster recovery plan.

- MariaDB provides several high availability options including asynchronous replication, semi-synchronous replication, Galera synchronous replication, and MaxScale for load balancing and failover. - Asynchronous replication allows for read scaling but carries a risk of data loss during failover. Semi-synchronous replication reduces this risk by ensuring data is written to at least one slave before confirming to the client. - Galera synchronous multi-master replication ensures all nodes remain in sync with no data loss but can impact performance. MaxScale helps manage replication topology and perform automated failovers.

This document discusses different high availability strategies for MariaDB databases. It covers asynchronous and semi-synchronous replication, which provide redundancy and failover capabilities but can have data loss risks. Synchronous replication with Galera Cluster is also described, which guarantees no data loss but has higher latency. Other topics include terminology, data redundancy approaches, and how features can be combined for resilient configurations.

Learn strategies to maintain your database's high availability even during peak use periods. MariaDB's Field CTO Max Mether offers best practices for high availability, disaster recovery and more.

This document discusses high availability strategies for MariaDB databases. It defines high availability as a system that is continuously operational for a desirably long period of time. It then examines different levels of availability based on uptime percentages and corresponding downtime. Various high availability components are described, including data redundancy, failover/switchover solutions, and monitoring. Asynchronous and synchronous replication techniques are summarized, along with how MaxScale can implement read/write splitting and failover automation. The benefits and limitations of Galera cluster synchronous replication are also provided.

This document discusses MariaDB high availability strategies including replication, failover, and clustering. It defines key HA terminology and describes different replication topologies like asynchronous, semi-synchronous, and synchronous replication using Galera cluster. Use cases provided show how geographically distributed and production control systems benefit from MariaDB HA features.

Galera Cluster vs. Continuent Tungsten Clusters Building a Geo-Scale, Multi-Region and Highly Available MySQL Cloud Back-End This second installment of our High Noon series of on-demand webinars is focused on Galera Cluster (including MariaDB Cluster & Percona XtraDB Cluster). It looks at some of the key characteristics of Galera Cluster and how it fares as a MySQL HA / DR / Geo-Scale solution, especially when compared to Continuent Tungsten Clustering. Watch this webinar to learn how to do better MySQL HA / DR / Geo-Scale. AGENDA - Goals for the High Noon Webinar Series - High Noon Series: Tungsten Clustering vs Others - Galera Cluster (aka MariaDB Cluster & Percona XtraDB Cluster) - Key Characteristics - Certification-based Replication - Galera Multi-Site Requirements - Limitations Using Galera Cluster - How to do better MySQL HA / DR / Geo-Scale? - Galera Cluster vs Tungsten Clustering - About Continuent & Its Solutions PRESENTER Matthew Lang - Customer Success Director – Americas, Continuent - has over 25 years of experience in database administration, database programming, and system architecture, including the creation of a database replication product that is still in use today. He has designed highly available, scaleable systems that have allowed startups to quickly become enterprise organizations, utilizing a variety of technologies including open source projects, virtualization and cloud.

Hochverfügbarkeit mit MariaDB Enterprise Presented by Ralf Gebhardt at the MariaDB Roadshow Germany: 4.7.2014 in Hamburg, 8.7.2014 in Berlin and 11.7.2014 in Frankfurt.

Amazon Web Services (AWS) are gaining popularity, and for good reasons. The Amazon Relational Database Service (AWS RDS) is getting a lot of attention, also for very good reasons. It is quite a compelling idea to have on-demand data services that do not require hiring DBA staff. The expectation is set that everything works like magic and will satisfy all of your enterprise database availability needs. If you want to build high-volume, business-critical applications, possibly with geographically-distributed audiences, you really want to think twice about using RDS. Continuent customers have a large number deployments in AWS running MySQL on AWS EC2 instances and they choose to rely upon Tungsten Clustering to provide high availability (HA) and disaster recovery (DR). We also support multi-site/multi-master operations and offer true zero-downtime MySQL operations. AGENDA - How does RDS handle failover? (Hint: Not very quickly) - How does RDS handle read scaling? (Hint: Not very well) - Can you do zero-downtime maintenance with RDS? (Hint: No) - Is RDS cheaper? (Hint: No, not really)

With Multiple Active Primary MySQL Databases Watch this on-demand webinar to learn the right way to deploy geo-distributed databases. We look at the pitfalls of deploying a single site and passive sites, and from there we show how to provide the best user experience by leveraging geo-distributed MySQL. When considering geo-distributed MySQL database environments it is important to understand the nuances of having multiple active clusters deployed across sites and clouds. This webinar walks through the proper planning of geo-distributed MySQL for success. Finally, you’ll learn about our best practices for multiple primary clusters, as well as failover and disaster recovery for MySQL. AGENDA - Why Geo-Distributed Databases - Geo-Distributed MySQL Starts With High Performance Local Clusters - Extend The Cluster To Multiple Datacenters/Clouds - Best Practices For Multiple Primary Clusters - Failover & Disaster Recovery - Key Benefits PRESENTER Matthew Lang, Customer Success Director – Americas, Continuent, has over 25 years of experience in database administration, database programming, and system architecture, including the creation of a database replication product that is still in use today. He has designed highly available, scaleable systems that have allowed startups to quickly become enterprise organizations, utilizing a variety of technologies including open source projects, virtualization and cloud.

(Compiled from revised slides of previous presentations - skip if you know the old presentations) A summary on clustering MySQL 5.7 with focus on the PHP clients view and the PHP driver. Which kinds on MySQL clusters are there, what are their goal, how does wich one scale, what extra work does which clustering technique put at the client and finally, how the PHP driver (PECL/mysqlnd_ms) helps you.