SUSE Manager with Salt - Deploy and Config Management for MariaDBMariaDB plc
This document discusses managing MariaDB databases with SUSE Manager and Salt. Key points include:
- SUSE Manager can be used to deploy, configure, and manage MariaDB across systems through states and other Salt elements.
- States define the desired configuration of systems and can install packages, manage services, and configure files for MariaDB.
- Additional Salt elements like beacons, reactors, and orchestration can monitor for changes, execute actions in response to events, and manage complex deployments.
- SUSE Manager provides centralized package management and software lifecycle management for MariaDB along with automated provisioning and configuration of new systems.
Making MySQL Administration a Breeze - A look into a MySQL DBA's toolchest Lenz Grimmer
This document discusses various open source tools for MySQL administration. It describes toolkits like Maatkit and Kontrollkit which provide collections of scripts focused on MySQL. Individual tools covered include innotop for monitoring, mydumper for parallel backups, xtrabackup for online backups, and oak-security-audit for auditing. The document also discusses tools for user account administration, replication monitoring and maintenance, and performance tuning.
Configuration management is the process of standardizing and enforcing resource configurations across IT infrastructure in an automated way. An example is setting a policy that the SNMP service must be installed and running. This can be defined using YAML and specifying that the net-snmp package must be installed and the SNMP daemon service must be enabled and running. Jinja templating allows variables like the location and contact details to be set using pillar data and different configurations to be set based on the operating system grains. States can then be applied to nodes using Salt functions to configure systems according to the defined policies and pillars in an automated and consistent manner.
M|18 Writing Stored Procedures in the Real WorldMariaDB plc
This document discusses using MariaDB stored procedures and parallel processing to optimize the "Wordament" word game. It presents solutions to run the game using:
1) A single thread on one node.
2) Multiple threads on one node using MariaDB events.
3) Multiple threads across multiple nodes using MariaDB replication.
It concludes that MariaDB supports parallelism through events and replication, but could benefit from a thread API to more easily develop multithreaded stored procedure solutions.
This document discusses how to deploy a MariaDB Galera cluster on Ubuntu 14.04. It requires installing MariaDB, Galera, and Rsync on at least 3 Ubuntu nodes. Specific configuration files are edited to set the cluster address, node addresses, and other settings. The MySQL services are restarted and tests run to validate the cluster is functioning properly with data replicated across all nodes.
SaltConf14 - Saurabh Surana, HP Cloud - Automating operations and support wit...SaltStack
Using SaltStack to automate enterprise IT operations and support capabilities is not as well documented as the more traditional SaltStack use cases. This session will show how the HP Cloud team runs a secure and reliable SaltStack automation environment by writing Salt states and modules to simplify day-to-day operations and support while extending SaltStack capabilities through dynamic states and modules. The talk will also show how to protect sensitive information and safe guard against user errors.
Replication allows data from a MySQL master database to be synchronized with one or more slave databases. The master records all data changes in its binary log. Slave databases connect to the master and receive the binary log transactions, which they then apply locally to stay synchronized with the master database. Replication can be used for load balancing reads across multiple slave servers or for high availability by failing over to a slave if the master fails.
This document discusses MySQL multi-source replication, which enables a replication slave to receive transactions from multiple masters simultaneously. It provides configuration steps for setting up a MariaDB/Percona Server database as a multi-source replication slave, including ensuring unique server IDs and GTID domains for each master, defining replication connections, and enabling parallel replication threads to optimize transaction processing from multiple sources.
SUSE Manager with Salt - Deploy and Config Management for MariaDBMariaDB plc
This document discusses managing MariaDB databases with SUSE Manager and Salt. Key points include:
- SUSE Manager can be used to deploy, configure, and manage MariaDB across systems through states and other Salt elements.
- States define the desired configuration of systems and can install packages, manage services, and configure files for MariaDB.
- Additional Salt elements like beacons, reactors, and orchestration can monitor for changes, execute actions in response to events, and manage complex deployments.
- SUSE Manager provides centralized package management and software lifecycle management for MariaDB along with automated provisioning and configuration of new systems.
Making MySQL Administration a Breeze - A look into a MySQL DBA's toolchest Lenz Grimmer
This document discusses various open source tools for MySQL administration. It describes toolkits like Maatkit and Kontrollkit which provide collections of scripts focused on MySQL. Individual tools covered include innotop for monitoring, mydumper for parallel backups, xtrabackup for online backups, and oak-security-audit for auditing. The document also discusses tools for user account administration, replication monitoring and maintenance, and performance tuning.
Configuration management is the process of standardizing and enforcing resource configurations across IT infrastructure in an automated way. An example is setting a policy that the SNMP service must be installed and running. This can be defined using YAML and specifying that the net-snmp package must be installed and the SNMP daemon service must be enabled and running. Jinja templating allows variables like the location and contact details to be set using pillar data and different configurations to be set based on the operating system grains. States can then be applied to nodes using Salt functions to configure systems according to the defined policies and pillars in an automated and consistent manner.
M|18 Writing Stored Procedures in the Real WorldMariaDB plc
This document discusses using MariaDB stored procedures and parallel processing to optimize the "Wordament" word game. It presents solutions to run the game using:
1) A single thread on one node.
2) Multiple threads on one node using MariaDB events.
3) Multiple threads across multiple nodes using MariaDB replication.
It concludes that MariaDB supports parallelism through events and replication, but could benefit from a thread API to more easily develop multithreaded stored procedure solutions.
This document discusses how to deploy a MariaDB Galera cluster on Ubuntu 14.04. It requires installing MariaDB, Galera, and Rsync on at least 3 Ubuntu nodes. Specific configuration files are edited to set the cluster address, node addresses, and other settings. The MySQL services are restarted and tests run to validate the cluster is functioning properly with data replicated across all nodes.
SaltConf14 - Saurabh Surana, HP Cloud - Automating operations and support wit...SaltStack
Using SaltStack to automate enterprise IT operations and support capabilities is not as well documented as the more traditional SaltStack use cases. This session will show how the HP Cloud team runs a secure and reliable SaltStack automation environment by writing Salt states and modules to simplify day-to-day operations and support while extending SaltStack capabilities through dynamic states and modules. The talk will also show how to protect sensitive information and safe guard against user errors.
Replication allows data from a MySQL master database to be synchronized with one or more slave databases. The master records all data changes in its binary log. Slave databases connect to the master and receive the binary log transactions, which they then apply locally to stay synchronized with the master database. Replication can be used for load balancing reads across multiple slave servers or for high availability by failing over to a slave if the master fails.
This document discusses MySQL multi-source replication, which enables a replication slave to receive transactions from multiple masters simultaneously. It provides configuration steps for setting up a MariaDB/Percona Server database as a multi-source replication slave, including ensuring unique server IDs and GTID domains for each master, defining replication connections, and enabling parallel replication threads to optimize transaction processing from multiple sources.
This document discusses PostgreSQL streaming replication and switchover/switchback capabilities. It covers limitations in earlier PostgreSQL versions, timelines, new features in version 9.3 that enable switchover/switchback without needing fresh backups, and things to know like using clean shutdown and the recovery.conf file. A demo of these features is promised at the end.
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.
The document discusses MariaDB 5.5 and the future of MariaDB, noting that MariaDB aims to be a drop-in replacement for MySQL that is fully compatible but with additional features; it provides an overview of MariaDB's history and major releases from 5.1 to 5.5; and it outlines some of MariaDB's goals and plans for the future, including the 10.0 release and incorporating additional storage engines.
SaltConf14 - Ryan Lane, Wikimedia - Immediate consistency with Trebuchet Depl...SaltStack
Deployment is often omitted from configuration management and orchestration, which typically focuses on the infrastructure and not the core application that the infrastructure supports. This presentation will give an overview of a deployment system I wrote using SaltStack to provide immediately consistent deployment for software. The deployment system has the ability for manual deploys or for continuous deployments using a Heroku-like workflow. It has support for multiple deployment schemes, with a default of Git deployment. The deployment system uses a combination of Salt peer runner calls, runners, modules, returners, pillars and grains as well as a deployment host running Apache, Sartoris (a git-deploy frontend), and Redis (for reporting).
CfgMgmtCamp 2015 - Managing the Content Lifecycle with KatelloStephen Benjamin
This document provides an overview of content management and lifecycles using Katello. It discusses how Katello allows you to sync or upload content, create content views to filter and control packages/modules, and promote content views through defined environments. It also covers features like errata awareness, composite content views, and incremental updates to quickly push out emergency patches.
What's New in Postgres Plus Advanced Server 9.3EDB
Learn more about EnterpriseDB's Postgres Plus Advanced Server 9.3!
Highlights of Postgres Plus Advanced Server 9.3 include:
Major Partitioning Enhancements
Materialized Views
New RPM packages
New EDB Failover Manager
New capabilities in Postgres Enterprise Manager 4.0
This document summarizes information about scaling out MariaDB server and cluster with MaxScale. It discusses the ReadWriteSplit and ConnectionRoute routers for scaling out a MariaDB server replication topology. It also discusses using the Galera Monitor and ReadWriteSplit modules to scale out a MariaDB Cluster deployment with MaxScale. Configurations are provided for using these routers and monitors with MaxScale.
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
This document provides an overview of MariaDB Galera Cluster and discusses some key features of Galera Cluster version 4, including huge transaction support through streaming replication and optimizing handling of inconsistencies to avoid unnecessary cluster-wide shutdowns. It summarizes Seppo Jaakola's presentation on the state of Galera Cluster and the roadmap for future releases.
MariaDB Galera Cluster Webinar by Ivan Zoratti on 13.11.2013. Also available as on demand webinar at http://www.skysql.com/why-skysql/webinars/mariadb-galera-cluster-simple-transparent-highly-available
Codership's galera cluster installation and quickstart webinar march 2016Sakari Keskitalo
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.
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.
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/)
This document summarizes migrating from MySQL replication to Galera Cluster. It describes Galera Cluster as providing synchronous multi-master replication with automatic failover. The migration procedure involves converting an existing asynchronous slave to Galera, building up the Galera Cluster to the desired size, switching readers and writers over to the cluster, and then deactivating the original asynchronous replication. Key benefits of Galera Cluster include strong consistency, high availability, and ability to join new nodes automatically.
MySQL Parallel Replication: inventory, use-case and limitationsJean-François Gagné
In the last 24 months, MySQL replication speed has improved a lot thanks to implementing parallel replication. MySQL and MariaDB have different types of parallel replication; in this talk, I present in details the different implementations, with their limitations and the corresponding tuning parameters. I also present benchmark results from real Booking.com workloads. Finally, I discuss some deployments at Booking.com that benefits from parallel replication speed improvements.
MariaDB 10 and Beyond - the Future of Open Source Databases by Ivan Zoratti.
Presented 24.6.2014 at the MariaDB Roadshow in Maarssen, Utrecht, The Netherlands.
MySQL/MariaDB Parallel Replication: inventory, use-case and limitationsJean-François Gagné
- The document discusses various parallel replication technologies in MySQL/MariaDB including schema-based parallel replication in MySQL 5.6, group commit-based approaches in MariaDB 10.0 and MySQL 5.7, and optimistic parallel replication in MariaDB 10.1.
- It provides an overview of how each approach tags and dispatches transactions to worker threads on slaves and their limitations regarding transaction ordering and gaps.
- Examples from Booking.com show how parallel replication can scale to thousands of servers but also hit issues like long transactions blocking progress.
This document discusses PostgreSQL streaming replication and switchover/switchback capabilities. It covers limitations in earlier PostgreSQL versions, timelines, new features in version 9.3 that enable switchover/switchback without needing fresh backups, and things to know like using clean shutdown and the recovery.conf file. A demo of these features is promised at the end.
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.
The document discusses MariaDB 5.5 and the future of MariaDB, noting that MariaDB aims to be a drop-in replacement for MySQL that is fully compatible but with additional features; it provides an overview of MariaDB's history and major releases from 5.1 to 5.5; and it outlines some of MariaDB's goals and plans for the future, including the 10.0 release and incorporating additional storage engines.
SaltConf14 - Ryan Lane, Wikimedia - Immediate consistency with Trebuchet Depl...SaltStack
Deployment is often omitted from configuration management and orchestration, which typically focuses on the infrastructure and not the core application that the infrastructure supports. This presentation will give an overview of a deployment system I wrote using SaltStack to provide immediately consistent deployment for software. The deployment system has the ability for manual deploys or for continuous deployments using a Heroku-like workflow. It has support for multiple deployment schemes, with a default of Git deployment. The deployment system uses a combination of Salt peer runner calls, runners, modules, returners, pillars and grains as well as a deployment host running Apache, Sartoris (a git-deploy frontend), and Redis (for reporting).
CfgMgmtCamp 2015 - Managing the Content Lifecycle with KatelloStephen Benjamin
This document provides an overview of content management and lifecycles using Katello. It discusses how Katello allows you to sync or upload content, create content views to filter and control packages/modules, and promote content views through defined environments. It also covers features like errata awareness, composite content views, and incremental updates to quickly push out emergency patches.
What's New in Postgres Plus Advanced Server 9.3EDB
Learn more about EnterpriseDB's Postgres Plus Advanced Server 9.3!
Highlights of Postgres Plus Advanced Server 9.3 include:
Major Partitioning Enhancements
Materialized Views
New RPM packages
New EDB Failover Manager
New capabilities in Postgres Enterprise Manager 4.0
This document summarizes information about scaling out MariaDB server and cluster with MaxScale. It discusses the ReadWriteSplit and ConnectionRoute routers for scaling out a MariaDB server replication topology. It also discusses using the Galera Monitor and ReadWriteSplit modules to scale out a MariaDB Cluster deployment with MaxScale. Configurations are provided for using these routers and monitors with MaxScale.
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
This document provides an overview of MariaDB Galera Cluster and discusses some key features of Galera Cluster version 4, including huge transaction support through streaming replication and optimizing handling of inconsistencies to avoid unnecessary cluster-wide shutdowns. It summarizes Seppo Jaakola's presentation on the state of Galera Cluster and the roadmap for future releases.
MariaDB Galera Cluster Webinar by Ivan Zoratti on 13.11.2013. Also available as on demand webinar at http://www.skysql.com/why-skysql/webinars/mariadb-galera-cluster-simple-transparent-highly-available
Codership's galera cluster installation and quickstart webinar march 2016Sakari Keskitalo
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.
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.
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/)
This document summarizes migrating from MySQL replication to Galera Cluster. It describes Galera Cluster as providing synchronous multi-master replication with automatic failover. The migration procedure involves converting an existing asynchronous slave to Galera, building up the Galera Cluster to the desired size, switching readers and writers over to the cluster, and then deactivating the original asynchronous replication. Key benefits of Galera Cluster include strong consistency, high availability, and ability to join new nodes automatically.
MySQL Parallel Replication: inventory, use-case and limitationsJean-François Gagné
In the last 24 months, MySQL replication speed has improved a lot thanks to implementing parallel replication. MySQL and MariaDB have different types of parallel replication; in this talk, I present in details the different implementations, with their limitations and the corresponding tuning parameters. I also present benchmark results from real Booking.com workloads. Finally, I discuss some deployments at Booking.com that benefits from parallel replication speed improvements.
MariaDB 10 and Beyond - the Future of Open Source Databases by Ivan Zoratti.
Presented 24.6.2014 at the MariaDB Roadshow in Maarssen, Utrecht, The Netherlands.
MySQL/MariaDB Parallel Replication: inventory, use-case and limitationsJean-François Gagné
- The document discusses various parallel replication technologies in MySQL/MariaDB including schema-based parallel replication in MySQL 5.6, group commit-based approaches in MariaDB 10.0 and MySQL 5.7, and optimistic parallel replication in MariaDB 10.1.
- It provides an overview of how each approach tags and dispatches transactions to worker threads on slaves and their limitations regarding transaction ordering and gaps.
- Examples from Booking.com show how parallel replication can scale to thousands of servers but also hit issues like long transactions blocking progress.
Using all of the high availability options in MariaDBMariaDB plc
MariaDB provides a number of high availability options, including replication with automatic failover and multi-master clustering. In this session Wagner Bianchi, Principal Remote DBA, provides a comprehensive overview of the high availability features in MariaDB, highlights their impact on consistency and performance, discusses advanced failover strategies and introduces new features such as casual reads and transparent connection failover.
MySQL Parallel Replication: inventory, use-case and limitationsJean-François Gagné
Booking.com uses MySQL parallel replication extensively with thousands of servers replicating. The presentation summarized MySQL and MariaDB parallel replication features including: 1) MySQL 5.6 uses schema-based parallel replication but transactions commit out of order. 2) MariaDB 10.0 introduced out-of-order parallel replication using write domains that can cause gaps. 3) MariaDB 10.1 includes five parallel modes including optimistic replication to reduce deadlocks during parallel execution. Long transactions and intermediate masters can limit parallelism.
This document provides an overview of Galera Cluster for MySQL. It discusses how Galera Cluster allows for highly available, multi-master replication across multiple nodes through synchronous replication. It also covers topics like installation, configuration, operations including rolling restarts, load balancing, and catching node state changes. The document includes demonstrations of these concepts.
MySQL Parallel Replication: inventory, use-cases and limitationsJean-François Gagné
In the last 24 months, MySQL replication speed has improved a lot thanks to implementing parallel replication. MySQL and MariaDB have different types of parallel replication; in this talk, I present in detail the different implementations, with their limitations and the corresponding tuning parameters (covering MySQL 5.6, MariaDB 10.0, MariaDB 10.1 and MySQL 5.7). I also present benchmark results from real Booking.com workloads. Finally, I discuss some deployments at Booking.com that benefits from parallel replication speed improvements.
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
Getting the most out of MariaDB MaxScaleMariaDB plc
This document discusses how to get the most out of MariaDB MaxScale. It provides an overview of MariaDB MaxScale and the MariaDB platform. It then demonstrates how MariaDB MaxScale can be used to handle multiple paths and listeners, routing queries using hints, masking data, and rerouting queries. Live demos are shown of these MaxScale features. The document concludes by discussing MaxScale's flexible plugin-based architecture and capabilities for load balancing, failover, and transforming queries.
MariaDB 10.2 & MariaDB 10.1 by Michael Monty Widenius at Database Camp 2016 @ UN✔ Eric David Benari, PMP
This document summarizes features in MariaDB 10.1 and 10.2. It discusses how MariaDB was created to ensure a free and community developed version of MySQL always exists. It provides overviews of the MariaDB foundation and goals. It also summarizes many new features and improvements in areas like performance, replication, security and more.
In this presentation we discuss the New Features of MariaDB 10.4. First we give a short overview of the MariaDB Branches and Forks. Then we talk about the announced IPO. Technically we cover topics like Authentication, Accounts, InnoDB, Optimizer improvements, Application-Time Period Tables the new Backup Stage Galera 4 and other changes...
High-level architecture of a complete MariaDB deploymentFederico Razzoli
In this webinar Federico will illustrate how to design a complete MariaDB setup. This doesn't only include MariaDB, but all the components that are necessary to form a reliable, scalable architecture.
Federico will cover these points:
- MariaDB storage engines
- Asynchronous replication vs Galera
- Load balancing and failover: ProxySQL, MaxScale, HAProxy
- Eliminating SPoFs in the proxy level
- Backup strategies
- Monitoring solutions
This document discusses high availability with Galera Cluster for MySQL. It provides an overview of Galera Cluster, including its advantages like active-active multi-master clusters and automatic node membership control. It also covers Galera Cluster installation, configuration, operations like initial cluster start and rolling restarts, load balancing, and online schema upgrades.
What to expect from MariaDB Platform X5, part 1MariaDB plc
MariaDB Platform X5 will be based on MariaDB Enterprise Server 10.5. This release includes Xpand, a fully distributed storage engine for scaling out, as well as many new features and improvements for DBAs and developers alike, including enhancements to temporal tables, additional JSON functions, a new performance schema, non-blocking schema changes with clustering and a Hashicorp Vault plugin for key management.
In this session, we’ll walk through all of the new features and enhancements available in MariaDB Enterprise Server 10.5. In addition, we will highlight those being backported to maintenance releases of MariaDB Enterprise Server 10.2, 10.3 and 10.4.
This document summarizes a talk given by Michael "Monty" Widenius about reasons to switch to MariaDB 10.0 from MySQL 5.5 or MariaDB 5.5. The talk addresses why MariaDB was created, features of MariaDB releases, benchmarks, the role of the MariaDB foundation, and reasons to switch. It provides information on the MariaDB foundation goals of developing and distributing MariaDB openly. It outlines many new features in MariaDB 10.0 including new storage engines, replication features, functionality, and improvements in areas like speed, optimization, and usability.
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's Andrew Hutchings and Shane Johnson walk through new features of the MariaDB ColumnStore storage engine, tools and adapters, then provide a sneak peak at what's planned for the next release.
MariaDB Paris Workshop 2023 - MaxScale 23.02.xMariaDB plc
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
MariaDB Paris Workshop 2023 - NewpharmaMariaDB plc
This document summarizes Newpharma's transition from a standalone database server to an enterprise MariaDB Galera cluster configuration between 2018-2023. It discusses the business needs that drove the change, including increased traffic and access to multiple data sources. Key benefits of the Galera cluster are highlighted like synchronous replication, read/write access from any node, and automatic node joining. Challenges of migrating like converting table types and splitting large transactions are also outlined. The transition has supported Newpharma's growth to over 100 million euro in turnover.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness and well-being.
MariaDB Paris Workshop 2023 - MariaDB EnterpriseMariaDB plc
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
MariaDB Paris Workshop 2023 - Performance OptimizationMariaDB plc
MariaDB is an open-source database that is highly tunable and modular. It allows for various storage engines, plugins, and configurations to optimize performance depending on usage. Key aspects that impact performance include memory allocation, disk access, query optimization, and architecture choices like replication, sharding, or using ColumnStore for analytics. Solutions like MyRocks, Spider, MaxScale can improve performance for transactional or large scale workloads by optimizing resources, adding high availability, and distributing load.
MariaDB Paris Workshop 2023 - MaxScale MariaDB plc
The document outlines requirements and criteria for a database solution involving two buildings 30km apart with a WAN link. The chosen solution was MariaDB with Galera cluster for high availability and synchronous replication across sites, along with Maxscale for read/write splitting and failover. Maxscale instances on each site allow for zero downtime database patching and upgrades per site, while the Galera cluster provides structure-independent synchronous replication between sites.
MariaDB Tech und Business Update Hamburg 2023 - MariaDB Enterprise Server MariaDB plc
MariaDB Enterprise Server 10.6 includes the following key features:
- New JSON functions and data types like UUID and INET4.
- Improved Oracle compatibility with function parameters.
- Enhanced partitioning capabilities like converting partitions.
- Optimistic ALTER TABLE for replicas to reduce downtime.
- Online schema changes without locking tables for improved performance.
- Security enhancements including password policies and privilege changes.
MariaDB SkySQL is a cloud database service that provides autonomous scaling, observability, and cloud backup capabilities. It offers multi-cloud and hybrid operations across AWS, Google Cloud, and on-premises databases. The service includes features like the Remote Observability Service (ROS) for monitoring across environments, and a Cloud Backup Service. It aims to provide a simple yet advanced service for scaling databases from small to extreme sizes with tools for automation, self-service, and unified operations.
The document discusses high availability solutions for MariaDB databases. It begins by defining high availability and concepts like Recovery Time Objective (RTO) and Recovery Point Objective (RPO). It then presents different MariaDB and MaxScale architectures that provide high availability, including single node, primary-replica, Galera cluster, and SkySQL solutions. Key aspects covered are automatic failover, load balancing, data filtering, and service level agreements.
Die Neuheiten in MariaDB Enterprise ServerMariaDB plc
This document summarizes new features in MariaDB Enterprise Server. Key points include:
- MariaDB Enterprise Server is geared toward enterprise customers and focuses on stability, robustness, and predictability.
- It has a longer release cycle than Community Server, with new versions every 2 years and long maintenance cycles. New features from Community Server are backported.
- Recent additions include analytics functions, JSON support, bi-temporal modeling, schema changes, database compatibility features, and security enhancements.
- The upcoming 23.x release will include new JSON functions, data types like UUID and INET4, Oracle compatibility features, partitioning improvements, and Galera enhancements.
Global Data Replication with Galera for Ansell Guardian®MariaDB plc
Ansell Guardian® faced challenges with their previous database replication solution as their data and usage grew globally. They evaluated MariaDB/Galera and implemented it to replace their legacy solution. The implementation was smooth using automation scripts. MariaDB/Galera provided increased performance, faster deployment times, and more reliable data synchronization across their 3 data centers compared to their previous solution. It helped resolve a critical data divergence issue and improved the user experience. They plan to further enhance their database infrastructure using MaxScale in the future.
SkySQL is the first and only database-as-a-service (DBaaS) to perform workload analysis with advanced deep learning models, identifying and classifying discrete workload patterns so DBAs can better understand database workloads, identify anomalies and predict changes.
In this session, we’ll explain the concepts behind workload analysis and show how it can be used in the real world (and with sample real-world data) to improve database performance and efficiency by identifying key metrics and changes to cyclical patterns.
SkySQL uses best-of-breed software, and when it comes to metrics and monitoring that means Prometheus and Grafana. SkySQL Monitor is built on both, and provides customers with interactive dashboards for both real-time and historic metrics monitoring. In addition, it meets the same high availability and security requirements as other SkySQL components, ensuring metrics are always available and always secure.
In this session, we’ll explain how SkySQL Monitor works, walk through its dashboards and show how to monitor key metrics for performance and replication.
Introducing the R2DBC async Java connectorMariaDB plc
Not too long ago, a reactive variant of the JDBC driver was released, known as Reactive Relational Database Connectivity (R2DBC for short). While R2DBC started as an experiment to enable integration of SQL databases into systems that use reactive programming models, it now specifies a full-fledged service-provider interface that can be used to retrieve data from a target data source.
In this session, we’ll take a look at the new MariaDB R2DBC connector and examine the advantages of fully reactive, non-blocking development with MariaDB. And, of course, we’ll dive in and get a first-hand look at what it’s like to use the new connector with some live coding!
The capabilities and features of MariaDB Platform continue to expand, resulting in larger and more sophisticated production deployments – and the need for better tools. To provide DBAs with comprehensive, consolidating tooling, we created MariaDB Enterprise Tools: an easy-to-use, modular command-line interface for interacting with any part of MariaDB Platform.
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Faster, better, stronger: The new InnoDBMariaDB plc
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In this session, we’ll walk through all of the improvements to InnoDB, and dive deep into the implementation to explain how these improvements help everything from configuration and performance to reliability and recovery.
SkySQL implements a groundbreaking, state-of-the-art architecture based on Kubernetes and ServiceNow, and with a strong emphasis on cloud security – using compartmentalization and indirect access to secure and protect customer databases.
In this session, we’ll walk through the architecture of SkySQL and discuss how MariaDB leverages an advanced Kubernetes operator and powerful ServiceNow configuration/workflow management to deploy and manage databases on cloud infrastructure.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
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The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
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Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
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Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
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Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
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Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
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Preparing Non - Technical Founders for Engaging a Tech AgencyISH Technologies
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Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
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These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
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Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Atelier - Innover avec l’IA Générative et les graphes de connaissances
CM for MariaDB Galera cluster
1. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
CM for MariaDB Galera cluster
2. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
About Adfinis SyGroup
● OpenSource service provider for 15 years
● based in Switzerland (Bern/Basel/Zurich)
● Software development and System Engineering
● multiple partners in the OSS community
3. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Why Configuration Management
● automate and standardize configuration of services/servers
● Provisioning
● automate changes on services/servers
● Deployment / Orchestration
● Infrastructure as Code
4. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Classical CM is not enough
● used for provisioning
● can't handle node interdependencies
● can't handle states from other nodes
● no timed execution
We need more than configuration management!
5. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
What defines a modern CM
● Orchestration capabilities
● run commands on a set of hosts
● Configuration Management + Orchestration
● apply changes to a set of hosts in a defined manner
● defined manner is important for clusters!
6. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
CM for clusters
● Provision: initialize all hosts to a defined state
● install packages, add configuration
● Bootstrap: initialize the cluster
● run commands on specific hosts in specific order
● Update: update/reconfigure the cluster
● run commands on specific hosts in specific order
7. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Which tools can handle batches
● Ansible
● serial per playbook (numeric or percentage)
● from 2.0: execution strategies
● Saltstack
● batch-size as CLI option (numeric or percentage)
● from Boron: option in orchestrate runner
● Puppet Enterprise (MCollective)
● batch as CLI option (numeric or percentage)
8. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Quick Ansible introduction
● Agentless – tasks are executed via SSH
● Ad-Hoc commands
ansible webserver -m apt -a "name=nginx state=latest"
● Playbooks
ansible-playbook galera.yml
● powerful language for more complex tasks
● Playbooks contain tasks to be executed in order
● Tasks can notify handlers (e.g. reload configuration)
● Roles are used to structure complex playbooks
9. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Orchestration with Ansible
● batch size for rolling updates
● only update a number of hosts at a time
● maximum failure percentage
● stop after a percentage of hosts have failed
● delegation
● delegate a task to another node
● conditional execution
● only run a task under certain conditions
10. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
MariaDB Galera cluster with Ansible
● Playbooks for provisioning, bootstrap and rolling update
● Roles for
● package installation
● firewall
● MariaDB Galera configuration
● MariaDB privileges
● MariaDB Galera cluster bootstrapping
currently tested on RHEL/CentOS 7
11. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Provisioning
● open ports on the firewall
● add repositories (MariaDB, EPEL)
● install packages
● MariaDB Galera
● Percona Xtrabackup v2 (SST)
● configure MariaDB Galera
12. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Bootstrapping
● only two tasks in the playbook
● bootstrap MariaDB Galera cluster
– first node in group
● restart MariaDB and join cluster
– rest of group
● tasks run one node at a time (serial: 1)
13. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Bootstrapping
galera-db-01
service mysql bootstrap
galera-db-02
service mysql start
initialer SST
galera-db-03
service mysql start
initialer SST
14. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Rolling Update
● role galera_conf can also handle rolling updates
● variable bootstrapped: yes needs to be set
● enables restart handler
● serial set to 49%
● no loss of quorum
● execution strategies enable more advanced behaviour
15. 30.11.2016 CM for MariaDB Galera Cluster 30.11.2016
Rolling Update
galera-db-01
service mysql restart
galera-db-02
service mysql restart
galera-db-03
service mysql restart