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Semelhante a 17h30 aws-databases-summit
17h30 aws-databases-summit
- 1. Bancos de DadosEscaláveis na AWS José Papo @josepapo josepapo@amazon.com
- 2. Opções de Bancosde Dados Relacional NoSQL
- 3. Bancos de Dados- Modelos Auto-gestão Database as a Service Banco de Dados no Amazon Relational Amazon DynamoDB Amazon EC2 Database Service (RDS) NoSQL Sua escolha de software SQL Server, MySQL ou Modelo não relacional de banco de dados Oracle oferecidos como serviço Bring Your Own License Overhead zero de (BYOL) Licenciamento Flexível: administração BYOL ou Licença Incluída
- 4. Bancos de Dados“As a Service” Amazon RDS + DynamoDB ElastiCache MySQL, Oracle, SQL Server Memcached Apps que precisam de BDs relacionais escaláveis Apps que precisam de Escalabilidade Massiva YesSQL NoSQL
- 5. Bancos de Dados– Modo Tradicional • Desperdício de Capacidade Demanda • Custo de manutenção • Consome mais tempo Q1 Tempo
- 6. O que osClientes Diziam “Nos ajude a focar na aplicação – Diminua tempo gasto em manutenção para usarmos em mais tempo de desenvolvimento e tuning de banco” Security planning Upgrades de servidores License/doc training Backup rec 5% 5% Upgrades de storage load/unload 20% 5% Scripting coding Backup e recovery Upgrades e patches Performance and 25% 40% tuning Falhas de Hardware Install, upgrade, patch, migration Distribuição de Tempo Fonte: http://www.forrester.com/Events/Content/0,5180,-1110,00.ppt
- 7. Banco de Dados– A Nova Maneira Demanda • Elasticidade • Foco na App • Imediato Tempo
- 8. Amazon Relational DatabaseService RDS é um serviço escalável de bancos de dados relacionais que é simples, fácil de escalar, confiável e efetivo em custo Vários Engines de BDs Serviço Gerenciado Escalabilidade Simples Disponibilidade com Multi-AZ Funciona c/ EC2 & ElastiCache Amazon Relational Database Service (RDS)
- 9. Bancos de DadosRelacionais Melhora Melhora Amazon RDS Disponibilidade Throughput Reduz Latência Escalabilidade Simples Multi AZ Read Replicas ElastiCache Escalabilidade Simples Read Replicas ElastiCache
- 10. Escalabilidade Simples Escale verticalmentesua instancia e storage Escale horizontalmente via sharding Backup automático Restore simples
- 11. Escalabilidade de Leiturascom Amazon ElastiCache e Read Replicas Reduz Latência de Leitura com ElastiCache Read replica para escalabilidade de leitura Relatórios podem ser executados nas réplicas
- 12. Alta Disponibilidade –Uso de Multi-AZ Tolerância a Falhas Replicação Síncrona Failover Automático
- 13. Alguns Clientes doAmazon RDS Jogos Web Mobile/Social Mídia
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- 16. Introduction Your Social Magazinefor Apple Mobile Devices Delivers relevant articles and photos based on usage and interactions within your social networks Launched 6 months after the initial team put together Over 5 million users and 2 billion page “flips” per month
- 17. Operating in theCloud : Managing Complex, Real Time Data 6 months to deploy a real-time, socially relevant magazine Challenge Constantly changing user interests Architecture Ability to change all hardware and software elastically Frequently changing system requirements App needs Complex queries on user and relevancy data Milliseconds count. So, does uptime Solution Highly performant, reliable, proven database technology Amazon RDS MySQL
- 18. The Data Viewof the World Flipboard Application ElastiCache Memcache for performance Reliable and Operational Complex data, Configuration Queries and State Data SimpleDB RDS MySQL
- 19. Friends, Magazines … anyone relevant to me who published something very recently that I care about seeing Show Me More, Please! A friend who recently shared a photo
- 20. Amazon RDS TipsFor Success 1. Leverage the Cloud for what it does best. Don’t bring old DC habits. 2. Scale up for better performance. 3. Use RDS for complex, real-time data 4. Use Read Replicas for write and read heavy databases. They are awesome. 5. Leverage existing SQL knowledge and experience. 6. Use copies of your database for testing new code. It’s trivial and saves time. 7. Scale horizontally with sharding. Plan for it before you need it.
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- 22. O Desafio daEscalabilidade Requisito: performance consistente e previsível Performance Aquisição de Hardware e Software $! Sharding Caching Gestão deCluster Realidade: Gestão de Falhas performance degrada Escalabilidade
- 23. Amazon DynamoDB DynamoDB éum serviço NoSQL gerenciado que fornece performance previsível e extremamente rápida com escalabilidade Fácil Administração SSD’s para Baixa Latência Capacidade Reservada Storage e Throughput potencialmente ilimitado
- 24. DynamoDB – Benefícios Performance Rápida e Previsível ADMIN • Latência baixa Fácil Administração • Escalabilidade Simples • Alocação automática de recursos e alta disponibilidade incluída Sempre Durável • Performance sem compromissos • Sem redução em consistência ou durabilidade para conseguir throughput
- 25. Throughput Provisionado Reserveos IOPS que deseja por tabela Aumente ou diminua via API ou Console Pague por throughput e storage (não instancias) • $0.01 por hora a cada 10 unidades de Capacidade de Write • $0.01 por hora a cada 50 unidades de Capacidade de Read • $1.00 por GB-mês de Storage
- 26. Alguns Clientes doDynamoDB
- 27. Earth Networks CaseStudy
- 28. Introduction Gathers and analyzesatmospheric observations from a global sensor network to promote a better understanding of the planet Proprietary lightning network output used to pinpoint lightning activity - best indicator of dangerous weather Owner of the WeatherBug brand (mobile, desktop, Web)
- 29. Problem Generate lightning alert notifications, in proximity Need to the user’s location, on a mobile device. Geospatial queries Scalable Constraints • 6 million existing mobile users • 100% YOY mobile growth • Severe Weather Outbreaks Fast • Speed + Accuracy = Safety Reduce Time to Market Cost of Ownership
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- 31. Analysis Provider Product Throughput Engineering Cost of per Instance Cost Ownership Microsoft SQL Server 2008 Medium Low High MySQL MySQL Medium High* High* Earth Networks In Memory Quadtree High High Medium Amazon Mem-Cache High Medium Medium Amazon DynamoDB High Low Low * Not currently supported by Earth Networks
- 32. Reflection DynamoDB Advantages • Easy to Provision • Built-in Consistency • Scalable • High Availability DynamoDB Wish List • Durability across regions in addition to inside a region • Auto-scale down without a throttle on change • Item size limit of 64k
- 33. Teste os serviçosde Bancos de Dados da AWS! Amazon RDS – Oferta Gratuita • Visite - aws.amazon.com/rds DynamoDB – Oferta Gratuita • Visite - aws.amazon.com/dynamodb
Notas do Editor
- #10 RDS today is used by thousands of customers from small startups to the world’s largest corporations.We have a predictable history of delivering reliable services and adding even greater functionality over time. (MAZ, RR, Caching)
- #11 RDS prestructure before adding new attributes, with NoSQL you do not have to do this it is a sparse schema. RDS creates DB on EC2 and EBS for you, gives you Host name and put and you take it from there with your fav SQL client. SimpleDB is in the DataPath, you dump the data and it creates the schema (Does Dynamo?)RDS Benefits – 1. Scale with modify API but there is an outage when you swap out instance types (e.g. from med to XL) but only takes a femins. Events are starting and done. IP address stays the same. Same for EBS add storage with no downtime or degradation in perf2. DB Backup and Restore – DB Snapshot or automated backup. 3. Monitor DB – recover from DB crash, EC2 crash, Gumi has been our number 1 customer for a few weeks over $250k in the last 4 weeksFunzio is in the top 5 and so is activisionEA, sony, bightgames also customers.We have been talking to playfish about DynamoDB but I don’t see them in the rds user base.Could not find zynga.
- #27 So, who is using DynamoDB?Many companies within Amazon and outside Amazon.Amazon CloudDrive, Smugmug, Amazon retail are examples within Amazon.Smugmug is using us for storing their metadata on DynamoDB.Formpsring and Tapjoy are one of our early adopters.Finally, the shazam the popular voice recognition application for ads and music is using us to store its data for various applications.