Carregado porJhonathan de Souza Soares
CosmosDB from zero2hero
O documento apresenta o banco de dados Azure Cosmos DB, descrevendo-o como um serviço de banco de dados multi-modelo globalmente distribuído e escalável dinamicamente. Ele discute como o Cosmos DB permite arquiteturas globais escaláveis, experiências rápidas e alta disponibilidade, além de fornecer cinco níveis de consistência personalizáveis e suporte a múltiplos modelos como documentos e grafos. O documento também convida os leitores a experimentarem o Cosmos DB gratuitamente.
CosmosDB from zero2hero
- 1. From Zero 2Hero Azure Cosmos DB Jhonathan Soares - @jhomarolo
- 2. James Whittaker -@docjamesw “We are reducing the world to data”
- 3. Jhonathan S. Soares •MVP Microsoft – Visual Studio • Neo4j Top 50 & Graph Evangelist • MongoDB Ambassador & Evangelist • Community manager • NoSQLBR • MUG • GraphDB • Cognitive Services • Lead Software Architech Vortx DTVM
- 4. Criar arquiteturas com alcanceglobal vem com problemas de escala global Escalar armazenamento e largura de banda Criar experiências rápidas Garantir alta disponibilidade Codificar aplicações distribuídas globalmente Administrar esquemas complexos Equilibrio na consistência da informação
- 5. Column-family Document Graph Turnkey global distribution Elasticscale out of storage & throughput Guaranteed low latency at the 99th percentile Comprehensive SLAs Five well-defined consistency models Table API Key-value Um serviço de banco de dados multi-model globalmente distribuído e dinamicamente escalável Azure Cosmos DB MongoDB
- 6. O futuro dedados Criar arquiteturas pensando no futuro 80% de todos os dados nos négocios se origina em forma desestruturada estruturados desestructurados 20% 80% <
- 8. Projetando o bancode dados para a nuvem Distribuição Global1 Escalabilidade elástica e ilimitada Millions of transactions/sec Petabytes of data 2 Eficiência de custos com multi- tenancy de finos ajustes 3
- 9. Migrando para CosmosDB Qualquer origem, qualquer dado
- 10. Interagindo no SQL Hierarquiade recursos
- 11. Escalando para oinfinito Replicação geográfica, failover automático e transparente
- 12. Escalando para oinfinito Capacidade de armazenamento e processamento dinamicamente escalável
- 13. Escalando para oinfinito Request Units Request Units (RU) é uma moeda com base em taxa Faz o resumo dos recursos físicos para executar solicitações Chave para a eficiência de multilocação, SLAs etc Primeiro plano e atividades de segundo plano % IOPS % CPU % Memory
- 14. Escalando para oinfinito Capacidade de armazenamento e processamento dinamicamente escalável Read < 1 ms Writes < 6 ms Read < 10 ms Writes < 15 ms 99%50%
- 15. Escalando para oinfinito Cinco níveis de consistência personalizada Strong consistency High latency Eventual consistency, Low latency
- 16. Opções de Consistência Escolhaentre cinco níveis de consistência definidos para baixa latência e alta disponibilidade Strong Bounded-stateless Session Consistent prefix Eventual A maioria dos aplicativos da vida real não se enquadra nesses dois extremos
- 17. Isso é multi-model! Utilizandocomo Documento Utilizando como Grafo
- 18. Quem usa CosmosDB? Retail Manufacturing Government/ Edu Automotive/IoT Financial Services Professional Services
- 19.
- 20. Try Azure CosmosDB for free! aka.ms/cosmosdb-emulator
- 21. Try Azure CosmosDB for free! https://azure.microsoft.com/en-us/try/cosmosdb/
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Notas do Editor
- #6 Azure Cosmos DB offers the first globally distributed, multi-model database service for building planet scale apps. It’s been powering Microsoft’s internet-scale services for years, and now it’s ready to launch yours. Only Azure Cosmos DB makes global distribution turn-key. You can add Azure locations to your database anywhere across the world, at any time, with a single click. Cosmos DB will seamlessly replicate your data and make it highly available. Cosmos DB allows you to scale throughput and storage elastically, and globally! You only pay for the throughput and storage you need – anywhere in the world, at any time.
- #17 Consistency Levels and guarantees Consistency LevelGuarantees Strong – Linearizability Bounded Staleness - Reads lag behind writes by k prefixes or t interval Session - Monotonic reads, monotonic writes, read-your-writes, write-follows-reads Consistent Prefix - Updates returned are some prefix of all the updates, with no gaps EventualOut of order reads
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