HAProxyでMySQL HA on Amazon EC2
•Download as KEY, PDF•
14 likes•2,668 views
This document discusses using HAProxy to provide high availability for MySQL databases running on Amazon EC2. It describes setting up a MySQL master-master replication configuration across two EC2 instances with HAProxy load balancing between the databases. HAProxy is configured to monitor the MySQL servers and direct reads to an available master while allowing writes to both masters for redundancy.
Report
Share
Report
Share
Recommended
Hadoop Training in Hyderabad
NBITS is a best hadoop training institute providing customer project-based Training and Placements in Big Data Hadoop. NBITS provides Hadoop Training in Hyderabad by Real time experts faculty with 10+ yrs Experience.
ストリーミングデータのアドホック分析エンジンの比較
This document discusses several streaming data technologies including Kinesis Analytics, PipelineDB, MemSQL, and VoltDB.
For each technology, it provides examples of using SQL queries to process streaming data from Kinesis and Kafka in real-time. It also discusses features like continuous views, windows, and joins.
Queryable State for Kafka Streamsを使ってみた
The document discusses queryable state for Apache Kafka Streams. It introduces Kafka Streams and stateful transformations. It then describes state for Kafka Streams, including how state is stored in RocksDB and tracked with a changelog in Kafka. Finally, it covers the new queryable state feature in Kafka Streams 0.10.1, which provides APIs to access state stores and retrieve values by key for windowed state.
Presentation: mongo db & elasticsearch & membase
This document provides summaries of NoSQL databases MongoDB, ElasticSearch, and Couchbase. It discusses their key features and uses cases. MongoDB is a document-oriented database that stores data in JSON-like documents. ElasticSearch is a search engine and stores data in JSON documents for real-time search and analytics capabilities. Couchbase is a key-value store that provides high-performance access to data through caching and supports high concurrency.
State of Search, Solr and Facets in Drupal 8 - Drupalcamp Belgium 2015
Session:
http://leuven2015.drupalcamp.be/sessions/state-search-solr-and-facets-drupal-8
Presenters:
Nick Veenhof & Joris Vercammen
Description:
In this session I'll give you an overview what changed so far in Drupal 8 in regards to the Search eco-system. We will talk about Search API, Apache Solr, Facet API and Elastic Search.
Over the course of the last 3 years I've been involved in how Search in Drupal 8 should take form and what needed to change to merge the Apache Solr module with the Search API Solr module. In this presentation I hope to give you some guidance what is still pending and what already was done. I will also try to explain what effort it takes to push and move such projects.
Depending on the audience we can go really in-depth or stay general. Please let me know in advance what you expect from this session so I can tailor it to your needs!
Mongo db admin_20110329
Michael DelNegro is a principal database administrator at AOL who has been administering MongoDB databases for applications including MapQuest and Patch. He provided an overview of MongoDB and tips for administering MongoDB databases effectively, as well as resources for further learning.
Mongo db admin_20110316
Michael DelNegro has been the principal database administrator at AOL for 6 years and currently administers MongoDB installations including applications for MapQuest and Patch. These applications store user profile and activity information with the MapQuest app hosting 300 million users on 26 servers and the Patch app storing around 100GB of data. He outlines his experiences administering MongoDB at AOL including deployment details, best practices, tools, and upcoming plans to upgrade installations and applications.
KeyValue Stores
Technical overview of three of the most representative KeyValue Stores: Cassandra, Redis and CouchDB. Focused on Ruby and Ruby on Rails developement, this talk shows how to solve common problems, the most popular libraries, benchmarking and the best use case for each one of them.
This talk was part of the Conferencia Rails 2009, Madrid, Spain.
http://app.conferenciarails.org/talks/43-key-value-stores-conviertete-en-un-jedi-master
Recommended
Hadoop Training in Hyderabad
NBITS is a best hadoop training institute providing customer project-based Training and Placements in Big Data Hadoop. NBITS provides Hadoop Training in Hyderabad by Real time experts faculty with 10+ yrs Experience.
ストリーミングデータのアドホック分析エンジンの比較
This document discusses several streaming data technologies including Kinesis Analytics, PipelineDB, MemSQL, and VoltDB.
For each technology, it provides examples of using SQL queries to process streaming data from Kinesis and Kafka in real-time. It also discusses features like continuous views, windows, and joins.
Queryable State for Kafka Streamsを使ってみた
The document discusses queryable state for Apache Kafka Streams. It introduces Kafka Streams and stateful transformations. It then describes state for Kafka Streams, including how state is stored in RocksDB and tracked with a changelog in Kafka. Finally, it covers the new queryable state feature in Kafka Streams 0.10.1, which provides APIs to access state stores and retrieve values by key for windowed state.
Presentation: mongo db & elasticsearch & membase
This document provides summaries of NoSQL databases MongoDB, ElasticSearch, and Couchbase. It discusses their key features and uses cases. MongoDB is a document-oriented database that stores data in JSON-like documents. ElasticSearch is a search engine and stores data in JSON documents for real-time search and analytics capabilities. Couchbase is a key-value store that provides high-performance access to data through caching and supports high concurrency.
State of Search, Solr and Facets in Drupal 8 - Drupalcamp Belgium 2015
Session:
http://leuven2015.drupalcamp.be/sessions/state-search-solr-and-facets-drupal-8
Presenters:
Nick Veenhof & Joris Vercammen
Description:
In this session I'll give you an overview what changed so far in Drupal 8 in regards to the Search eco-system. We will talk about Search API, Apache Solr, Facet API and Elastic Search.
Over the course of the last 3 years I've been involved in how Search in Drupal 8 should take form and what needed to change to merge the Apache Solr module with the Search API Solr module. In this presentation I hope to give you some guidance what is still pending and what already was done. I will also try to explain what effort it takes to push and move such projects.
Depending on the audience we can go really in-depth or stay general. Please let me know in advance what you expect from this session so I can tailor it to your needs!
Mongo db admin_20110329
Michael DelNegro is a principal database administrator at AOL who has been administering MongoDB databases for applications including MapQuest and Patch. He provided an overview of MongoDB and tips for administering MongoDB databases effectively, as well as resources for further learning.
Mongo db admin_20110316
Michael DelNegro has been the principal database administrator at AOL for 6 years and currently administers MongoDB installations including applications for MapQuest and Patch. These applications store user profile and activity information with the MapQuest app hosting 300 million users on 26 servers and the Patch app storing around 100GB of data. He outlines his experiences administering MongoDB at AOL including deployment details, best practices, tools, and upcoming plans to upgrade installations and applications.
KeyValue Stores
Technical overview of three of the most representative KeyValue Stores: Cassandra, Redis and CouchDB. Focused on Ruby and Ruby on Rails developement, this talk shows how to solve common problems, the most popular libraries, benchmarking and the best use case for each one of them.
This talk was part of the Conferencia Rails 2009, Madrid, Spain.
http://app.conferenciarails.org/talks/43-key-value-stores-conviertete-en-un-jedi-master
BuilHigh Performance Weibo Platform-Qcon2011
The document discusses building a high performance Weibo platform. It covers using MySQL with user_timeline indexing initially, and then integrating caching with Memcached and Redis. It also discusses using NoSQL databases like MongoDB and HBase. The key topics are data structures like JSON, binary formats, and case studies of architectures with one or multiple data centers and regions for timelines. The overall goal is to build scalable timelines and optimize performance.
Share point 2013 on azure
This document discusses deploying SharePoint 2013 on Microsoft Azure infrastructure as a service (IaaS). It covers key Azure concepts like virtual networks, availability, disks, and virtual machines. Virtual networks allow grouping of virtual machines and enabling Active Directory. High availability is achieved through location, regions, affinity groups, and availability sets. Disk storage and performance considerations for databases and content are provided. Sample virtual machine configurations show optimal disk layout and sizing for SharePoint and SQL Server.
KafkaとAWS Kinesisの比較
This document compares Apache Kafka and AWS Kinesis for message streaming. It outlines that Kafka is an open source publish-subscribe messaging system designed as a distributed commit log, while Kinesis provides streaming data services. It also notes some key differences like Kafka typically handling over 8000 messages/second while Kinesis can handle under 100 messages/second.
MongoDB
MongoDB is a document database that stores data in BSON format, which is similar to JSON. It is a non-relational, schema-free database that scales easily and supports massive amounts of data and high availability. MongoDB can replace traditional relational databases for certain applications, as it offers dynamic schemas, horizontal scaling, and high performance. Key features include indexing, replication, MapReduce and rich querying of embedded documents.
ArangoDB – A different approach to NoSQL
ArangoDB is an open source multi-model NoSQL database that can be used as a document store, key-value store, and graph database. It provides a query language called AQL that is similar to SQL. Documents and data can be easily extended and manipulated using JavaScript. ArangoDB is highly performant, space efficient, and can scale horizontally. It has been in development since 2011 with the goal of providing a full-featured database while avoiding the downsides of other NoSQL solutions.
Elasticsearch JVM-MX Meetup April 2016
This document provides a 3 sentence summary of an Elasticsearch meetup in Mexico City in April 2016. It introduces Elasticsearch as a open-source search and analytics engine, discusses its features including real-time data, being massively distributed and schema-free, and provides examples of creating an index, mapping types, indexing documents, and searching in Elasticsearch using HTTP requests.
Fluentd and Docker - running fluentd within a docker container
Walks through the basics of Fluentd, as run on Docker. Introduces a demo where fluentd is run in a docker container.
CouchDB introduction
CouchDB presentation with some technical details, made for a technical audience, shows use cases, comparison to other nosql databases and why it's useful for publishers
Practical Use of a NoSQL Database
Find out how NoSQL can help your application with practical examples and use-cases from our Cloud Data Services Developer Advocate Glynn Bird. This webinar won't dwell on the science behind the database, but will walk you through real-life use-cases for NoSQL technologies that you can start using today.
Webinar: https://youtu.be/M_Jqw
Fluentd - Flexible, Stable, Scalable
Fluentd - a data collector with many plugin support
This is a talk about Fluentd at Taipei.py on Feb. 26th 2015.
Presto @ Treasure Data - Presto Meetup Boston 2015
Treasure Data simplifies event analytics for the complex digital
world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.
GraphDb in XPages
This document discusses implementing graph database capabilities in XPages. It begins with introductions of the presenter Oliver Busse and an overview of graph databases. It then discusses some graph database products and frameworks as well as companies using graph databases. Key terminology for graphs like vertices, properties, and edges is defined. The document explains how graphs could be implemented in Domino using documents to store vertices and edges and outlines the data modeling and initialization process. Code examples and a demo application are referenced for further information.
Spark Streamingによるリアルタイムユーザ属性推定
Spark Streaming allows processing of live data streams using Spark. It works by dividing the data stream into batches called micro-batches, which are then processed using Spark's batch engine to generate RDDs. This allows for fault tolerance, exactly-once processing, and integration with other Spark APIs like MLlib and GraphX.
CI_CONF 2012: Scaling
The document discusses how Huffington Post scales its platform to handle large amounts of traffic. It uses a variety of technologies including Perl, PHP, MySQL, MongoDB, Hadoop, Memcache, Redis, Varnish, and CodeIgniter. Key aspects of scaling include using a CDN, generating flat files for pages, caching responses with Varnish, controlling caching with custom headers, purging caches, using edge side includes, splitting applications across servers, and encouraging participation in technology-focused guilds.
Using Embulk at Treasure Data
Muga Nishizawa discusses Embulk, an open-source bulk data loader. Embulk loads records from various sources to various targets in parallel using plugins. Treasure Data customers use Embulk to upload different file formats and data sources to their TD database. While Embulk is focused on bulk loading, TD also develops additional tools to generate Embulk configurations, manage loads over time, and scale Embulk using a MapReduce executor on Hadoop clusters for very large data loads.
Plmce2012 scaling pinterest
The document describes Pinterest's scaling efforts from 2010 to 2012. It started with a single server on Rackspace and grew to use Amazon Web Services with over 100 web servers and database shards on MySQL, Redis, Memcache and other technologies. Key lessons included keeping systems simple initially and that clustering is difficult due to a single point of failure in the cluster management. Pinterest transitioned to manual sharding of MySQL databases to improve scalability while avoiding the complexity of clustering.
Introduction to MongoDB
This is a presentation on 'Introduction to MongoDB' given at Bangalore MongoDB User Group Meet-up at Brigade Millennium, Bangalore.
Lightning talk: elasticsearch at Cogenta
This document discusses how Elasticsearch is used by Cogenta to power their real-time retail intelligence platform. It tracks hundreds of eCommerce sites daily, organizing large amounts of data into a high-quality market view. Elasticsearch allows Cogenta to scale their processing and analytics capabilities, provide high availability, and power various use cases like logging, internal analytics, and reporting.
Is the database a solved problem?
A decade ago, the database was assumed to be a solved problem. Relational databases (PostgreSQL, MySQL, SQLite to name a few) were dominating the database market and hierarchical databases (LDAP, DNS) where regarded as niche solutions. The NoSQL revolution surely changed the concept of what a database can be. At the same time, the popularity of mobile devices exploded. This talk will dive into how data structures are persisted and queried on mobile devices today, and try to revive the old question: is the database really a solved problem?
Pecha-Kucha-Session WJAX 2009 "Mein Agiler Koffer" von Henning Wolf
This short document discusses a man named Henning Wolf and his agile suitcase. It thanks Henning Wolf but provides no other context or details about the contents of the discussion.
设计开发实效 Web2.0 应用程序
Web2.0应用程序设计开发实效的主题。文章从用户体验,成本,系统复杂度,可测试性和敏捷开发等实用主义角度介绍了Web2.0趋势,核心问题,开发工具和技能。它强调简单易用的用户界面设计,通过架构管理复杂度和成本,构建可测试系统,采用敏捷原则进行开发。
VietRees_Newsletter_63_Week4_Month12_Year08
The weekly newsletter provides real estate market updates in Vietnam, including market situation reports, foreign investment projects, real estate agent activities, construction material prices, and expert analyses. It is distributed to over 100,000 subscribers and covers topics like market trends, property prices, investment opportunities, and legislative changes. The newsletter aims to keep readers informed about the latest developments in Vietnam's real estate industry.
More Related Content
What's hot
BuilHigh Performance Weibo Platform-Qcon2011
The document discusses building a high performance Weibo platform. It covers using MySQL with user_timeline indexing initially, and then integrating caching with Memcached and Redis. It also discusses using NoSQL databases like MongoDB and HBase. The key topics are data structures like JSON, binary formats, and case studies of architectures with one or multiple data centers and regions for timelines. The overall goal is to build scalable timelines and optimize performance.
Share point 2013 on azure
This document discusses deploying SharePoint 2013 on Microsoft Azure infrastructure as a service (IaaS). It covers key Azure concepts like virtual networks, availability, disks, and virtual machines. Virtual networks allow grouping of virtual machines and enabling Active Directory. High availability is achieved through location, regions, affinity groups, and availability sets. Disk storage and performance considerations for databases and content are provided. Sample virtual machine configurations show optimal disk layout and sizing for SharePoint and SQL Server.
KafkaとAWS Kinesisの比較
This document compares Apache Kafka and AWS Kinesis for message streaming. It outlines that Kafka is an open source publish-subscribe messaging system designed as a distributed commit log, while Kinesis provides streaming data services. It also notes some key differences like Kafka typically handling over 8000 messages/second while Kinesis can handle under 100 messages/second.
MongoDB
MongoDB is a document database that stores data in BSON format, which is similar to JSON. It is a non-relational, schema-free database that scales easily and supports massive amounts of data and high availability. MongoDB can replace traditional relational databases for certain applications, as it offers dynamic schemas, horizontal scaling, and high performance. Key features include indexing, replication, MapReduce and rich querying of embedded documents.
ArangoDB – A different approach to NoSQL
ArangoDB is an open source multi-model NoSQL database that can be used as a document store, key-value store, and graph database. It provides a query language called AQL that is similar to SQL. Documents and data can be easily extended and manipulated using JavaScript. ArangoDB is highly performant, space efficient, and can scale horizontally. It has been in development since 2011 with the goal of providing a full-featured database while avoiding the downsides of other NoSQL solutions.
Elasticsearch JVM-MX Meetup April 2016
This document provides a 3 sentence summary of an Elasticsearch meetup in Mexico City in April 2016. It introduces Elasticsearch as a open-source search and analytics engine, discusses its features including real-time data, being massively distributed and schema-free, and provides examples of creating an index, mapping types, indexing documents, and searching in Elasticsearch using HTTP requests.
Fluentd and Docker - running fluentd within a docker container
Walks through the basics of Fluentd, as run on Docker. Introduces a demo where fluentd is run in a docker container.
CouchDB introduction
CouchDB presentation with some technical details, made for a technical audience, shows use cases, comparison to other nosql databases and why it's useful for publishers
Practical Use of a NoSQL Database
Find out how NoSQL can help your application with practical examples and use-cases from our Cloud Data Services Developer Advocate Glynn Bird. This webinar won't dwell on the science behind the database, but will walk you through real-life use-cases for NoSQL technologies that you can start using today.
Webinar: https://youtu.be/M_Jqw
Fluentd - Flexible, Stable, Scalable
Fluentd - a data collector with many plugin support
This is a talk about Fluentd at Taipei.py on Feb. 26th 2015.
Presto @ Treasure Data - Presto Meetup Boston 2015
Treasure Data simplifies event analytics for the complex digital
world. Our customers send us 1,000,000 events per second and issue 30,000+ Presto queries everyday to understand their customers better. One of the challenges is designing a cloud database with zero downtime to support a global customer base. We have achieved this goal by developing several open-source technologies; Fluentd and Embulk enable seamless log collection from stream/batch sources, and with MessagePack we can provide an extensible columnar store that accommodates future schema changes. Finally, Presto allows us to serve a wide variety of data processing our customers perform on our service. In this talk, I will present an overview of our system, and how our customers keep using Presto while collecting and extending their data set.
GraphDb in XPages
This document discusses implementing graph database capabilities in XPages. It begins with introductions of the presenter Oliver Busse and an overview of graph databases. It then discusses some graph database products and frameworks as well as companies using graph databases. Key terminology for graphs like vertices, properties, and edges is defined. The document explains how graphs could be implemented in Domino using documents to store vertices and edges and outlines the data modeling and initialization process. Code examples and a demo application are referenced for further information.
Spark Streamingによるリアルタイムユーザ属性推定
Spark Streaming allows processing of live data streams using Spark. It works by dividing the data stream into batches called micro-batches, which are then processed using Spark's batch engine to generate RDDs. This allows for fault tolerance, exactly-once processing, and integration with other Spark APIs like MLlib and GraphX.
CI_CONF 2012: Scaling
The document discusses how Huffington Post scales its platform to handle large amounts of traffic. It uses a variety of technologies including Perl, PHP, MySQL, MongoDB, Hadoop, Memcache, Redis, Varnish, and CodeIgniter. Key aspects of scaling include using a CDN, generating flat files for pages, caching responses with Varnish, controlling caching with custom headers, purging caches, using edge side includes, splitting applications across servers, and encouraging participation in technology-focused guilds.
Using Embulk at Treasure Data
Muga Nishizawa discusses Embulk, an open-source bulk data loader. Embulk loads records from various sources to various targets in parallel using plugins. Treasure Data customers use Embulk to upload different file formats and data sources to their TD database. While Embulk is focused on bulk loading, TD also develops additional tools to generate Embulk configurations, manage loads over time, and scale Embulk using a MapReduce executor on Hadoop clusters for very large data loads.
Plmce2012 scaling pinterest
The document describes Pinterest's scaling efforts from 2010 to 2012. It started with a single server on Rackspace and grew to use Amazon Web Services with over 100 web servers and database shards on MySQL, Redis, Memcache and other technologies. Key lessons included keeping systems simple initially and that clustering is difficult due to a single point of failure in the cluster management. Pinterest transitioned to manual sharding of MySQL databases to improve scalability while avoiding the complexity of clustering.
Introduction to MongoDB
This is a presentation on 'Introduction to MongoDB' given at Bangalore MongoDB User Group Meet-up at Brigade Millennium, Bangalore.
Lightning talk: elasticsearch at Cogenta
This document discusses how Elasticsearch is used by Cogenta to power their real-time retail intelligence platform. It tracks hundreds of eCommerce sites daily, organizing large amounts of data into a high-quality market view. Elasticsearch allows Cogenta to scale their processing and analytics capabilities, provide high availability, and power various use cases like logging, internal analytics, and reporting.
Is the database a solved problem?
A decade ago, the database was assumed to be a solved problem. Relational databases (PostgreSQL, MySQL, SQLite to name a few) were dominating the database market and hierarchical databases (LDAP, DNS) where regarded as niche solutions. The NoSQL revolution surely changed the concept of what a database can be. At the same time, the popularity of mobile devices exploded. This talk will dive into how data structures are persisted and queried on mobile devices today, and try to revive the old question: is the database really a solved problem?
What's hot (19)
Fluentd and Docker - running fluentd within a docker container
Fluentd and Docker - running fluentd within a docker container
Presto @ Treasure Data - Presto Meetup Boston 2015
Presto @ Treasure Data - Presto Meetup Boston 2015
Viewers also liked
Pecha-Kucha-Session WJAX 2009 "Mein Agiler Koffer" von Henning Wolf
This short document discusses a man named Henning Wolf and his agile suitcase. It thanks Henning Wolf but provides no other context or details about the contents of the discussion.
设计开发实效 Web2.0 应用程序
Web2.0应用程序设计开发实效的主题。文章从用户体验,成本,系统复杂度,可测试性和敏捷开发等实用主义角度介绍了Web2.0趋势,核心问题,开发工具和技能。它强调简单易用的用户界面设计,通过架构管理复杂度和成本,构建可测试系统,采用敏捷原则进行开发。
VietRees_Newsletter_63_Week4_Month12_Year08
The weekly newsletter provides real estate market updates in Vietnam, including market situation reports, foreign investment projects, real estate agent activities, construction material prices, and expert analyses. It is distributed to over 100,000 subscribers and covers topics like market trends, property prices, investment opportunities, and legislative changes. The newsletter aims to keep readers informed about the latest developments in Vietnam's real estate industry.
VietRees_Newsletter_36_Week3_Month06_Year08
The document is a Vietnam real estate newsletter providing news and information to professional real estate investors, planners, developers, and marketers. It discusses general market conditions and trends in Vietnam's real estate sector. Key topics covered include an overview of the market, new projects and developments, and policy updates from the Vietnamese government.
Adivinanza
Uma nota de um aluno do 2o ano recebendo um "A" em 2008. O aluno teve um bom desempenho acadêmico naquele ano.
Net Promoter System for Agile Environments @ Agile India 2014 in Bangalore, I...
The document discusses the Net Promoter System (NPS), a customer feedback tool used to measure customer satisfaction and loyalty. It explains that NPS uses a single question called the "ultimate question" to produce a Net Promoter Score (NPScore) between -100 and 100. Customers are categorized as Promoters, Passives, or Detractors based on their response. The document also provides guidance on how to interpret NPScores and gather additional qualitative feedback to improve products and services.
Can you Kata?
This document discusses katas, which are small practice exercises used to internalize programming fundamentals and basic steps. Katas are drawn from martial arts and involve repetition of basic tasks to build muscle memory and train programmers to use techniques subconsciously. The document provides examples of katas and recommends focusing on fundamentals, taking time with repetition, and getting feedback in order to improve skills.
I tunesu coursecreation_1213
The document provides guidelines for creating courses using iTunes U Course Manager. It describes how to get started by creating a profile and new course, then editing and organizing content by adding an outline, posts, assignments, and materials. It offers best practices for crafting an effective course, such as including learning objectives and leveraging mobility. It also covers managing enrollment by sharing enroll codes and publishing to an institution's iTunes U catalog.
Pecha Kucha Session Agile 2011 "My Agile Suitcase" by Ola Ellnestam
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 boosts blood flow, releases endorphins, and promotes changes in the brain which help relax the body and lift the mood.
How to Piss Off Your Pair at LAST Conference 2015
This document provides a list of strategies titled "Top 5: How to Piss Off Your Pair" along with anti-strategies to get better results when pairing or collaborating with others. The strategies include interrupting your partner whenever they do something differently than you, immediately deleting your partner's last edit, talking non-stop without giving your partner a chance to speak or contribute, complaining about your partner before they have done anything wrong, and keeping annoyances to yourself until blowing up at your partner. The document recommends doing the opposite of these strategies and provides contact information for the author.
Visita estudo 26_junho_2014
Visita de estudo organizada e patrocinada pela Biblioteca Municipal António Botto, para todos os finalistas do Concurso Concelhio de Leitura, "Abrantes a Ler 2014"
Inspire Management @ LAST Conference Melbourne 2013
Bernd Schiffer gave a presentation at the LAST Conference in Melbourne on February 8th, 2013 about Inspire Management. The presentation discussed applying Agile principles beyond software development to the entire organization. Examples were given of companies like Semco, Valve and Atlassian that have implemented Agile Management Innovations (AMIs) like self-organizing teams, open salary structures, and slack time. The presentation argued that organizations need to change their culture in order to fully adopt Agile and provided resources for learning more about AMIs and community groups pursuing new management approaches.
Peer Groups in Agile Environments at LAST Conference 2014
Session about Peer Groups in Agile Environments at LAST Conference 2014 in Melbourne with Victoria and Bernd Schiffer.
Scrummaster Needed Desperately at 2016 Scrum Australia
There is a lot of reluctance within organisations to place ScrumMasters, let alone to spend money to hire them. Surely this role can be done by one of the developers, right? After all, it’s only a minor role, isn’t it? Far from it! The ScrumMaster is a full-time role. Without it, who can take care of the agile process on behalf of a busy Scrum team?
One way to help teams and management understand the value of the ScrumMaster’s role is to show them the volume and importance of tasks a ScrumMaster can fulfil, and the consequences of what happens if nobody takes care of these tasks. This session not only presents the 42 tasks of a ScrumMaster’s role but will clearly show that every Scrum team needs a ScrumMaster.
Mindtree's expertise in asset management.
With improving trends and the need for new investment products, Asset Under Management(AUM) have continued to evolve.
Staying focused on asset allocation and diversification, Mindtree has worked with the leading banks, asset and wealth management firms, superannuation funds for more than 10 years.
sinsai.infoの裏側（インフラ偏）
1) The document discusses the creation of a website called sinsai.info to aggregate earthquake information from various sources using open source tools like Ushahidi during the 2011 Tohoku earthquake and tsunami in Japan.
2) Performance issues arose as traffic increased, including high latency and database overload. Solutions involved optimizing the database, adding an Elastic Load Balancer, and backing up to Amazon S3 and EBS.
3) The website served as a useful resource for earthquake information, and the author thanks AWS for its services which helped handle the increased traffic and issues during the disaster.
How Agile and Lean Changed my Organization Goto Amsterdam 2012
see http://gotocon.com/amsterdam-2012/presentation/How%20'Agile%20and%20Lean'%20Changed%20my%20Organization for abstract
Read more about AMI here: http://agiletrail.com/2012/11/08/agile-management-innovations-a-primer/
Viewers also liked (20)
Pecha-Kucha-Session WJAX 2009 "Mein Agiler Koffer" von Henning Wolf
Pecha-Kucha-Session WJAX 2009 "Mein Agiler Koffer" von Henning Wolf
Net Promoter System for Agile Environments @ Agile India 2014 in Bangalore, I...
Net Promoter System for Agile Environments @ Agile India 2014 in Bangalore, I...
Pecha Kucha Session Agile 2011 "My Agile Suitcase" by Ola Ellnestam
Pecha Kucha Session Agile 2011 "My Agile Suitcase" by Ola Ellnestam
Inspire Management @ LAST Conference Melbourne 2013
Inspire Management @ LAST Conference Melbourne 2013
Peer Groups in Agile Environments at LAST Conference 2014
Peer Groups in Agile Environments at LAST Conference 2014
Scrummaster Needed Desperately at 2016 Scrum Australia
Scrummaster Needed Desperately at 2016 Scrum Australia
How Agile and Lean Changed my Organization Goto Amsterdam 2012
How Agile and Lean Changed my Organization Goto Amsterdam 2012
Similar to HAProxyでMySQL HA on Amazon EC2
Polyglot Persistence & Big Data in the Cloud
This document discusses polyglot persistence and deploying big data technologies in the cloud. It introduces databases like HBase, Cassandra, MongoDB, CouchDB, and Riak for storing large amounts of data. Technologies like Elasticsearch and Solr are presented for search. Hadoop is described as a framework for distributed processing of large datasets. The document concludes by discussing how the Apache Whirr project can be used to deploy these technologies on cloud infrastructure.
Local Storage for Web Applications
My preliminary presentation for the report "Client-Side Storage in Web Application". 2012.
by Markku Laine, http://www.tinyurl.com/mplaine
Scaling Social Games
The document discusses the challenges of scaling social games to millions of daily active users. It describes how the company scaled from 170,000 daily users to over 1,000,000 by:
1) Moving data and queries from MySQL databases to Redis to improve performance and handle higher volumes.
2) Sharding high-volume tables and migrating data to distribute load across multiple database servers.
3) Using load balancers and adding application servers to scale the architecture horizontally as more users were added.
Rails 6 Multi-DB 実戦投入
Rails 6 Multi-DB導入時のはまりどころについて話します。
こちらのイベントで発表した内容です。
Rails Developers Beer Bash 〜Railsのトレンドとこれから〜
https://techplay.jp/event/749901
ActiveMQ 5.9.x new features
This document provides an overview and agenda for a presentation on Apache ActiveMQ 5.9.x and Apache Apollo. The presentation will cover new features in ActiveMQ 5.9.x including AMQP 1.0 support, REST management, a new default file-based store using LevelDB, and high availability replication of the store. It will also introduce Apache Apollo and allow for a question and discussion period.
High Performance Weibo QCon Beijing 2011
Sina Weibo is the most popular Microblogging platform in China. It has more than 100 million user and tens of millions of daily updates. This slide explains the performance challenges in Weibo platform.
In-browser storage and me
I do not have any additional information to provide. Please let me know if you have any other questions!
如何构建一个高可用可扩展的广告投放平台-品友互动
- This document discusses techniques for building a high performance and scalable web architecture including load balancing, caching, databases, and more.
- It recommends using technologies like LVS, HAProxy, Nginx for load balancing, Memcached/Redis for caching, and MySQL, MongoDB for databases.
- It also provides examples of system architectures with load balancers, web servers, databases, and caches arranged in clusters with options for failover and redundancy.
It's Different with Drupal
The document discusses how Drupal differs from traditional HTML websites in its architecture and functionality. It explains that Drupal uses PHP programs and a MySQL database to dynamically build pages from content "nodes" that can have various fields. Key modules like CCK and Views are highlighted that extend Drupal's functionality by allowing custom fields and views/displays of content. Themes and modules are described as ways to customize Drupal sites without modifying content. Must-have modules and other advanced features are also listed.
All your data belong to us - The Active Objects Plugin
This is an introduction to the Active Objects plugin given at AtlasCamp 2010 [1]. It addresses general persistence solutions in Atlassian current and to come in the form of Active Objects.
My introduction for AtlasCamp [2]
[1] http://www.atlassian.com/about/events/atlascamp/2010/
[2] http://confluence.atlassian.com/display/ATL/Samuel+Le+Berrigaud
Building Google-in-a-box: using Apache SolrCloud and Bigtop to index your big...
You’ve got your Hadoop cluster, you’ve got your petabytes of unstructured data, you run mapreduce jobs and SQL-on-Hadoop queries. Something is still missing though. After all, we are not expected to enter SQL queries while looking for information on the web. Altavista and Google solved it for us ages ago. Why are we still requiring SQL or Java certification from our enterprise bigdata users? In this talk, we will look into how integration of SolrCloud into Apache Bigtop is now enabling building bigdata indexing solutions and ingest pipelines. We will dive into the details of integrating full-text search into the lifecycle of your bigdata management applications and exposing the power of Google-in-a-box to all enterprise users, not just a chosen few data scientists.
Intro to HBase - Lars George
With the public confession of Facebook, HBase is on everyone's lips when it comes to the discussion around the new "NoSQL" area of databases. In this talk, Lars will introduce and present a comprehensive overview of HBase. This includes the history of HBase, the underlying architecture, available interfaces, and integration with Hadoop.
Storage Engine Wars at Parse
This document discusses Parse's evaluation and adoption of the RocksDB storage engine for MongoDB. Some key points:
- Parse has a large MongoDB deployment handling millions of collections and indexes across 35 replica sets.
- RocksDB provides higher write throughput, compression, and avoids stalls compared to MongoDB's default storage engines.
- After hidden testing, Parse has deployed RocksDB as the primary storage engine for 25% of replica sets and secondaries for 50% of sets.
- Monitoring and operational tools are being enhanced for RocksDB. Performance continues to improve and wider adoption within the MongoDB community is hoped for.
Chris Ward - Understanding databases for distributed docker applications - No...
In this talk we'll focus on the use of Crate alongside Weave in Docker containers, the technical challenges, best practices learned, and getting a big data application running alongside it. You'll learn about the reasons why Crate.IO is building "yet another NoSQL database" and why it's unique and important when running web scale containerized applications. We'll show why the shared-nothing architecture is so important when deploying large clusters in containers and how it addresses the issues and fears of a Docker-based persistence layer. You will learn how to deploy a Crate cluster in the cloud within minutes using Docker, some of the challenges you'll encounter, and how to overcome them in order to scale your backends efficiently. We focused on super simple integration with any cloud provider, striving it to be as turnkey as possible with minimal up-front configuration required to establish a cluster. Once established, we'll show how to scale the cluster horizontally by simply adding more nodes. The session will also give you examples when you should use Crate compared to other similar technologies such as MongoDB, Hadoop, Cassandra or FoundationDB. We'll talk about this approach's strengths and what types of applications are well-suited for this type of data store, as well what is not. Finally we'll outline how to architect an application that is easy to scale using Crate and Docker.
Hadoop @ eBay: Past, Present, and Future
An overview of eBay's experience with Hadoop in the Past and Present, as well as directions for the Future. Given by Ryan Hennig at the Big Data Meetup at eBay in Netanya, Israel on Dec 2, 2013
Hadoop Primer
Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of computers. It allows for the reliable, scalable, and distributed processing of petabytes of data. Hadoop consists of Hadoop Distributed File System (HDFS) for storage and Hadoop MapReduce for processing vast amounts of data in parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner. Many large companies use Hadoop for applications such as log analysis, web indexing, and data mining of large datasets.
遇見 Ruby on Rails
The document introduces Ruby on Rails and provides an overview of its features and benefits. It summarizes the speaker's experience with web development over time, introduces MVC and ORM concepts, and demonstrates Rails through a live coding example. Key advantages of Rails highlighted include its convention over configuration approach, use of Ruby as a dynamic scripting language, and ability to rapidly develop database-backed web applications.
The MySQL Server ecosystem in 2016
MySQL is a unique adult (now 21 years old) in many ways. It supports plugins. It supports storage engines. It is also owned by Oracle, thus birthing two branches of the popular opensource database: Percona Server and MariaDB Server. It also once spawned a fork: Drizzle. Lately a consortium of web scale users (think a chunk of the top 10 sites out there) have spawned WebScaleSQL.
You're a busy DBA having to maintain a mix of this. Or you're a CIO planning to choose one branch. How do you go about picking? Supporting multiple databases? Find out more in this talk. Also covered is a deep-dive into what feature differences exist between MySQL/Percona Server/MariaDB/WebScaleSQL, how distributions package the various databases differently. Within the hour, you'll be informed about the past, the present, and hopefully be knowledgeable enough to know what to pick in the future.
Note, there will also be coverage of the various trees around WebScaleSQL, like the Facebook tree, the Alibaba tree as well as the Twitter tree.
The MySQL Server ecosystem in 2016
The document summarizes the history and current state of the MySQL database server ecosystem. It discusses the origins and development of MySQL, MariaDB, Percona Server, and other related projects. It also describes some of the key features and innovations in recent versions of these database servers. The ecosystem is very active with contributions from many organizations and the future remains promising with ongoing work.
44CON 2014 - Pentesting NoSQL DB's Using NoSQL Exploitation Framework, Franci...
44CON 2014 - Pentesting NoSQL DB's Using NoSQL Exploitation Framework, Francis Alexander
The rise of NoSQL databases and their simplicity has made corporates as well as end users have started to move towards NoSQL,However is it safe?.Does NoSQL mean we will not have to worry about Injection attacks. Yes We Do. This paper concentrates on exploiting NoSQL DB’s especially with its reach towards Mongodb,Couchdb and Redis and automating it using the NoSQL Exploitation Framework.
Similar to HAProxyでMySQL HA on Amazon EC2 (20)
All your data belong to us - The Active Objects Plugin
All your data belong to us - The Active Objects Plugin
Building Google-in-a-box: using Apache SolrCloud and Bigtop to index your big...
Building Google-in-a-box: using Apache SolrCloud and Bigtop to index your big...
Chris Ward - Understanding databases for distributed docker applications - No...
Chris Ward - Understanding databases for distributed docker applications - No...
44CON 2014 - Pentesting NoSQL DB's Using NoSQL Exploitation Framework, Franci...
44CON 2014 - Pentesting NoSQL DB's Using NoSQL Exploitation Framework, Franci...
Recently uploaded
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Public CyberSecurity Awareness Presentation 2024.pptx
Cyber security awareness slides for a busisness by TreeTop Security
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
This case study explores designing a scalable e-commerce platform, covering key requirements, system components, and best practices.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Recently uploaded (20)
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Public CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptx
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
HAProxyでMySQL HA on Amazon EC2
- 1. HAProxy MySQL HA on Amazon EC2 @ijin
- 2. @ijin • Michael H. Oshita • • 8 • •
- 3. EC2 MySQL HA
- 4. EC2 MySQL HA • MySQL Multi-Master • Amazon RDS (multi-AZ)
- 5. MySQL Master- Master (MMM) DNS Web Web DNS $ $ DB1 DB2 $ ns agent
- 6. Amazon RDS (multi-AZ) Web $ Web $ DB1 $ DB2 $
- 7. $ $ 3 4 $
- 9. HAProxy • TCP/HTTP • MySQL • (Web+HAProxy+DB) x2 • Alex Williams (http://www.alexwilliams.ca/blog/ 2009/08/10/using-haproxy-for-mysql-failover-and- redundancy/)
- 12. Web Web • DB2 or HAProxy HAProxy • HAProxy DB1 DB1 DB2
- 13. Web Web • DB1 or HAProxy HAProxy • HAProxy DB2 DB1 DB2
- 14. Web Web • • HAProxy (DB1) HAProxy HAProxy • read ( ) DB1 DB2
- 15. • ( Amazon RDS) • read • DB • • http://github.com/ijin/mysqlcheck • http://gist.github.com/560708