Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #2: Galera Cluster

MySQL data rules the cloud, but recent experience shows us that there's no substitute for maintaining copies of data, across availability zones and regions, when it comes to Amazon Web Services (AWS) data resilience. In this webinar, we discuss the multi-master capabilities of Continuent Tungsten to help you build and manage systems that spread data across multiple sites. We cover important topics such as setting up large scale topologies, handling failures, and how to handle data privacy issues like removing personally identifiable information or handling privacy law restrictions on data movement. We will conclude with a live demonstration of a distributed MySQL solution with Continuent Tungsten clusters working across multiple AWS availability zones and regions.

Event-driven systems provide simplified integration, easy notifications, inherent scalability and improved fault tolerance. In this session we'll cover the basics of building event driven systems and then dive into utilizing Apache Kafka for the infrastructure. Kafka is a fast, scalable, fault-taulerant publish/subscribe messaging system developed by LinkedIn. We will cover the architecture of Kafka and demonstrate code that utilizes this infrastructure including C#, Spark, ELK and more. Sample code: https://github.com/dotnetpowered/StreamProcessingSample

Many users are challenged with how to setup multi-master, multi-site MySQL clusters. How to do you go from a single database server to a scalable cluster? Or move from a brittle MySQL replication system to a transparent, manageable database cluster? In this joint webinar with Continuent, Percona examines how Continuent Tungsten addresses these problems. First, we discuss the read-write splitting functionality of the Tungsten Connector. Next, we demonstrate the multi-data center capabilities of Continuent Tungsten. We set up a total of 9 cluster nodes in 3 different data centers and demonstrate various failure scenarios, while traffic is running: - One of the nodes goes down - Two of the nodes go down - One of the data centers goes down - Two of the data centers go down At the end of this webinar you will know how to quickly configure and provision highly optimized Continuent Tungsten deployments in the cloud or on-premises. Presenters: - Peter Boros, Consultant, Percona - Robert Hodges, CEO, Continuent

A presentation discusses high availability (HA) strategies for MySQL databases. HA minimizes downtime while fault tolerance ensures zero downtime, but at high cost. For MySQL, HA usually uses replication across redundant servers, balancing consistency, throughput and cost. The best approach depends on the deployment, from single servers to sharded architectures. ClustrixDB provides automatic HA through synchronous multi-master replication across a cluster, minimizing administration while ensuring data consistency and continuous availability.

To manage the ever-increasing volume and velocity of data within your company, you have successfully made the transition from single machines and one-off solutions to large distributed stream infrastructures in your data center, powered by Apache Kafka. But what if one data center is not enough? I will describe building resilient data pipelines with Apache Kafka that span multiple data centers and points of presence, and provide an overview of best practices and common patterns while covering key areas such as architecture guidelines, data replication, and mirroring as well as disaster scenarios and failure handling.

The first presentation for Kafka Meetup @ Linkedin (Bangalore) held on 2015/12/5 It provides a brief introduction to the motivation for building Kafka and how it works from a high level. Please download the presentation if you wish to see the animated slides.

This is the slide deck which was used for a talk 'Change Data Capture using Kafka' at Kafka Meetup at Linkedin (Bangalore) held on 11th June 2016. The talk describes the need for CDC and why it's a good use case for Kafka.

The document provides an introduction and overview of Apache Kafka presented by Jeff Holoman. It begins with an agenda and background on the presenter. It then covers basic Kafka concepts like topics, partitions, producers, consumers and consumer groups. It discusses efficiency and delivery guarantees. Finally, it presents some use cases for Kafka and positioning around when it may or may not be a good fit compared to other technologies.

Confluent Cloud runs a modified version of Apache Kafka - redesigned to be cloud-native and deliver a serverless user experience. In this talk, we will discuss key improvements we've made to Kafka and how they contribute to Confluent Cloud availability, elasticity, and multi-tenancy. You'll learn about innovations that you can use on-prem, and everything you need to make the most of Confluent Cloud.

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.

Where to start? - the first 2 hours of performance troubleshooting • The performance cheat sheet: cover all the basics before you start • Data collections and mining the logs • Common techniques to improve performance

Watch this on-demand webinar on database proxies (for MySQL) by Gilles Rayrat, VP of Engineering at Continuent. Gilles is one of the most knowledgeable experts in the MySQL community when it comes to database proxies and shares some of his knowledge in this initial webinar on that topic. From a simple database connectivity scenario all the way through to advanced database connectivity setups and proxy functionalities, this webinar provides an in-depth introduction to database proxies (for MySQL). AGENDA - A simple database connectivity scenario - The concept of a clustered database - Failure in a clustered database: the nightmare scenario - The solution: use a proxy! Preferably a smart one … - Advanced database connectivity setups - Advanced proxy functionalities - Recap SPEAKER Gilles Rayrat, VP of Engineering, Continuent, has over 20 years experience in software engineering. Previously holding positions at Orange and Xerox, he joined the Continuent adventure in 2005. As the connectivity expert at Continuent, he has worn many hats including software development, QA, support, project and operations management. Gilles has held most of the engineering positions that he now manages, giving him both deep and wide experience.

Apache Kafka becoming the message bus to transfer huge volumes of data from various sources into Hadoop. It's also enabling many real-time system frameworks and use cases. Managing and building clients around Apache Kafka can be challenging. In this talk, we will go through the best practices in deploying Apache Kafka in production. How to Secure a Kafka Cluster, How to pick topic-partitions and upgrading to newer versions. Migrating to new Kafka Producer and Consumer API. Also talk about the best practices involved in running a producer/consumer. In Kafka 0.9 release, we’ve added SSL wire encryption, SASL/Kerberos for user authentication, and pluggable authorization. Now Kafka allows authentication of users, access control on who can read and write to a Kafka topic. Apache Ranger also uses pluggable authorization mechanism to centralize security for Kafka and other Hadoop ecosystem projects. We will showcase open sourced Kafka REST API and an Admin UI that will help users in creating topics, re-assign partitions, Issuing Kafka ACLs and monitoring Consumer offsets.

This is a talk given at ApacheCon 2015 If data is the lifeblood of high technology, Apache Kafka is the circulatory system in use at LinkedIn. It is used for moving every type of data around between systems, and it touches virtually every server, every day. This can only be accomplished with multiple Kafka clusters, installed at several sites, and they must all work together to assure no message loss, and almost no message duplication. In this presentation, we will discuss the architectural choices behind how the clusters are deployed, and the tools and processes that have been developed to manage them. Todd Palino will also discuss some of the challenges of running Kafka at this scale, and how they are being addressed both operationally and in the Kafka development community. Note - there are a significant amount of slide notes on each slide that goes into detail. Please make sure to check out the downloaded file to get the full content!

Many web businesses enjoy a spike in traffic at some point in the year. Whether it's Black Friday, the NFL draft day, or Mother’s Day, your app needs to be able to scale and capture customer value when it is most needed. Downtime is not an option. For a database, that means having enough capacity to ensure transaction latency stays within acceptable limits. For high capacity apps using MySQL, this means you may need to deploy triple the normal capacity usage to sustain traffic for one day. But what do you do with that hardware for the rest of the year? Do you leave it idling? That unused capacity is costing you an arm and a leg, and wasted expenses make CFOs grumpy. In Part 3 of our Tech Talk series, we discuss what the options are for scaling down MySQL, as well as explore answers to the following questions: - How do I figure out the costs of not scaling down? - How does ClustrixDB scale-down differently than MySQL? - How real is elastically scaling in ClustrixDB? What are the catches? View the webcast of this Tech Talk on our YouTube channel.

Scaling out a web application involves adding redundancy, separating application tiers across multiple servers, implementing load balancing, caching content, and monitoring performance. Key aspects include mirroring disks for redundancy, moving services to separate application servers, using load balancing schemes like DNS round-robin or load balancers, solving session state issues through sticky routing or database storage, and caching dynamic content to improve performance. Monitoring the environment is also important to detect failures or bottlenecks as the infrastructure scales out.

Cloud-Based Active/Active Tungsten MySQL Clusters @ Bluefin Payments Bluefin Payments is a Financial Services SaaS company that provides 24/7/365 application availability for their payment gateway and decryption-as-a-service, which are essential to point-of-sale (POS) solutions. Financial Services typically require two or more active data centers to provide their customers with continuous availability along with quick response times. Bluefin Payments uses co-located data centers with active/active replication between each MySQL cluster, which provides a complete, local High Availability and a remote Disaster Recovery solution for more than 350 million financial transactions each month. Watch this webinar replay with Continuent Eero Teerikorpi for a discussion about geo-distributed active/active MySQL replication for Financial Services SaaS Providers based on a case study of Continuent customer Bluefin Payments, and on how to guarantee credit card transaction availability with geo-distributed Tungsten MySQL clusters. AGENDA - Continuent Introduction - How to Guarantee Credit Card Transaction Availability With Geo-Distributed Tungsten MySQL Clusters - Continuent Tungsten Solutions & Benefits - Key Benefit Highlight: No MySQL Data Loss - Q&A PRESENTER Eero Teerikorpi - Founder and CEO, Continuent - is a 7-time serial entrepreneur who has more than 30 years of high-tech management and enterprise software experience. Eero has been in the MySQL marketplace virtually since day one, from the early 2000s. Eero has held top management positions at various cross-Atlantic entities (CEO at Alcom Corporation, President at Capslock, Executive Board Member at Esker S.A.) Eero started his career as a Product Manager at Apple Computer in Finland in the mid-80s. Eero also owns and manages a boutique NOET Vineyards producing high-quality dry-farmed Cabernet Sauvignon. Eero is a former Navy officer and still an avid sailor on San Francisco Bay and around the world. Eero is a very active sportsman: a 4+ tennis player, a rookie golfer, a very careful mountain biker, and an experienced (40+ years) skier, both slalom and cross-country.

Severalnines’ ClusterControl vs. Continuent Tungsten Clusters for MySQL Building a Geo-Distributed, Multi-Region and Highly Available MySQL Cloud Back-End This is the seventh of our High Noon series covering MySQL clustering solutions for high availability (HA), disaster recovery (DR), and geographic distribution. ClusterControl uses Galera to handle the MySQL clustering, which means it uses synchronous replication. Learn in this webinar! You may use Tungsten Clustering with native MySQL, MariaDB or Percona Server for MySQL in GCP, AWS, Azure, and/or on-premises data centers for better technological capabilities, control, and flexibility. But learn about the pros and cons! AGENDA - Goals for the High Noon Webinar Series - High Noon Series: Tungsten Clustering vs Others - Oracle InnoDB Cluster - Key Characteristics - Certification-based Replication - InnoDB Cluster Multi-Site Requirements - Limitations Using InnoDB Cluster - How to do better MySQL HA / DR / Geo-Distribution? - InnoDB 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.

Oracle’s InnoDB Cluster vs. Continuent Tungsten Clusters for MySQL Building a Geo-Distributed, Multi-Region and Highly Available MySQL Cloud Back-End This is the fifth of our High Noon series covering MySQL clustering solutions for high availability (HA), disaster recovery (DR), and geographic distribution. InnoDB Cluster uses MySQL’s group replication to handle the replication. It’s also known as semi-synchronous replication. Learn about this and more in this webinar! You may use Tungsten Clustering with native MySQL, MariaDB or Percona Server for MySQL in GCP, AWS, Azure, and/or on-premises data centers for better technological capabilities, control, and flexibility. But learn about the pros and cons! AGENDA - Goals for the High Noon Webinar Series - High Noon Series: Tungsten Clustering vs Others - Oracle InnoDB Cluster - Key Characteristics - Certification-based Replication - InnoDB Cluster Multi-Site Requirements - Limitations Using InnoDB Cluster - How to do better MySQL HA / DR / Geo-Distribution? - InnoDB 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.

MS Azure Database for MySQL vs. Continuent Tungsten Clusters Building a Geo-Scale, Multi-Region and Highly Available MySQL Cloud Back-End This is the third of our High Noon series covering MySQL clustering solutions for high availability (HA), disaster recovery (DR), and geographic distribution. Azure Database for MySQL is a managed database cluster within Microsoft Azure Cloud that runs MySQL community edition. There are really two deployment options: “Single Server” and “Flexible Server (Preview).” We will look at the Flexible Server version, even though it is still preview, because most enterprise applications require failover, so this is the relevant comparison for Tungsten Clustering. You may use Tungsten Clustering with native MySQL, MariaDB or Percona Server for MySQL in GCP, AWS, Azure, and/or on-premises data centers for better technological capabilities, control, and flexibility. But learn about the pros and cons! Enjoy the webinar! AGENDA - Goals for the High Noon Webinar Series - High Noon Series: Tungsten Clustering vs Others - Microsoft Azure Database for MySQL - Key Characteristics - Certification-based Replication - Azure MySQL Multi-Site Requirements - Limitations Using Azure MySQL - How to do better MySQL HA / DR / Geo-Scale? - Azure MySQL 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.

Global data access can greatly expand the reach of your business. Continuent's multi-site multi-master (MSMM) solutions enable applications to accept write traffic in multiple locations across on-premises and vCloud Air. As an example, this includes the following real-world, business-critical use cases: - Improve performance for globally distributed users registering hardware devices by permitting updates on the geographically closest site - Ensure availability of credit card processing by spreading transaction processing across two or more sites. Users can still process credit card transactions if a single site is unavailable to them for any reason, including end-user Internet routing problems - Enable business continuity by using multi-master updates on different hosting providers for service scalability, personalization and software upgrades of GPS devices. Individual Continuent clusters already provide excellent single-site database availability and performance. In this webinar we review the benefits of combining multiple Continuent clusters into a global multi-site multi-master (MSMM) topology for: - Optimizing your installation for MSMM - Optimizing your application for MSMM - Monitoring and administration - Failover and recovery of individual servers or entire locations.

Samsung's ARTIK IoT platform used Continuent's active/active MySQL cluster topology to manage its IoT monetization portal serving millions of worldwide devices. ARTIK chose Continuent over AWS Aurora for its availability, disaster recovery, geo-scale capabilities, and cost-effectiveness. Continuent's solution provided high availability, continuous operations across regions, and performance at a reasonable cost with 24/7 support.

This document discusses different approaches to achieving high availability with MariaDB databases, including replication, Galera clusters, and MaxScale load balancing. It describes asynchronous and semi-synchronous replication topologies that provide redundancy and enable failover. Synchronous replication with Galera clusters is discussed as another option that ensures all nodes remain in sync with no data loss. MaxScale is presented as a tool that can monitor MariaDB topologies and perform load balancing and failover across nodes.

This webinar has three parts, and takes about 30 minutes: - Overview of Amazon Aurora cross-region - Common challenges when using Amazon Aurora - How can multi-region MySQL deployments be improved? - Q&A AGENDA - Aurora key benefits - Aurora Cross Region Replica Requirements - Limitations using Aurora - Tungsten Multi-Master Clustering - Tungsten Composite Clustering - Continuent Tungsten Key Benefits as compared to Aurora - Tungsten Dashboard

Marketo uses Continuent Tungsten to solve key data management challenges at scale. Tungsten provides high availability, online maintenance, and parallel replication to allow Marketo to process over 600 million MySQL transactions per day across more than 7TB of data without downtime. Tungsten's innovative caching and sharding techniques help replicas keep up with Marketo's high transaction volumes and uneven tenant sizes. The solution has enabled fast failover, rolling maintenance, and scaling to thousands of customers.

This document discusses high availability and MariaDB replication. It defines high availability and outlines key components like data redundancy, failover solutions, and monitoring. It then describes MariaDB replication in detail, covering asynchronous and semi-synchronous replication as well as Galera cluster synchronous replication. MaxScale is introduced as a tool for load balancing, monitoring, and facilitating failovers in MariaDB replication topologies.

The document discusses high availability solutions for MySQL databases. It describes Galera Cluster, an open-source multi-master replication solution, and how it fits into the MySQL high availability landscape. Galera Cluster provides redundancy across database nodes for continuous availability and prevents data loss. It allows writes to any node and maintains consistent data across all nodes without single points of failure. The document compares Galera Cluster to other solutions like replication, DRBD, failover frameworks, and cloud-based offerings.

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.

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.

AWS Aurora vs. Continuent Tungsten Clusters Building a Geo-Scale, Multi-Region and Highly Available MySQL Cloud Back-End This first installment of our High Noon series of on-demand webinars is focused on AWS Aurora. It looks at some of the key characteristics of AWS Aurora 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 - AWS Aurora - Key Characteristics - Cross Region Requirements - RDS Proxy - Limitations Using AWS Aurora - How to do better MySQL HA / DR / Geo-Scale? - AWS Aurora 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.