Recomendados
Más contenido relacionado
La actualidad más candente
La actualidad más candente (20)
Similar a Azure Cosmos DB - NET Conf UY 2017
Similar a Azure Cosmos DB - NET Conf UY 2017 (20)
Más de Matias Quaranta
Más de Matias Quaranta (12)
Último
Último (20)
Azure Cosmos DB - NET Conf UY 2017
- 1. 23 al 27 de Octubre 2017.NET Conf UY v2017 Azure Cosmos DB Matías Quaranta Software Engineer
- 2. 23 al 27 de Octubre 2017.NET Conf UY v2017
- 3. 23 al 27 de Octubre 2017.NET Conf UY v2017 James Whittaker - @docjamesw “We are reducing the world to data” 10/27/2017 323 al 27 de Octubre 2017.NET Conf UY v2017
- 4. 23 al 27 de Octubre 2017.NET Conf UY v2017 Crear arquitecturas con alcance global viene acompañado de problemas de escala global Escalar almacenaje y ancho de banda Crear experiencias rápidas Asegurar alta disponibilidad Codear aplicaciones distribuídas globalmente Administrar complejos esquemas Balance en la consistencia de la información
- 5. 23 al 27 de Octubre 2017.NET Conf UY v2017 Azure Cosmos DB Base de datos como servicio, multi-modelo y globalmente distribuída
- 6. Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. Distribución global Replicable automáticamente a través del mundo, en más regiones que Amazon y Google combinados. 10/27/2017 623 al 27 de Octubre 2017.NET Conf UY v2017
- 7. Distribución global Multi-modelo + multi API Key-value, grafos, y documentos sobre un servicio que no requiere esquema ni índices secundarios. KEY-VALUE COLUMN-FAMILY DOCUMENT GRAPH Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. 10/27/2017 723 al 27 de Octubre 2017.NET Conf UY v2017
- 8. Distribución global Elásticamente escalable Escalable en almacenamiento y rendimiento de forma independiente y a través de todas las regiones. Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. Multi-modelo + multi API 10/27/2017 823 al 27 de Octubre 2017.NET Conf UY v2017
- 9. Distribución global Multi-modelo + multi API Elásticamente escalable Consistencia personalizable Cinco niveles de consistencia disponibles para elegir. Strong Bounded-stateless Session Consistent prefix Eventual Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. 10/27/2017 923 al 27 de Octubre 2017.NET Conf UY v2017
- 10. Distribución global Multi-modelo + multi API Elásticamente escalable Consistencia personalizable Lecturas en <10 ms y escrituras en < 15 ms en el 99th % de la region más cercana. Baja latencia asegurada Read < 1 ms Writes < 6 ms Read < 10 ms Writes < 15 ms 99%50% Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. 10/27/2017 1023 al 27 de Octubre 2017.NET Conf UY v2017
- 11. Distribución global Multi-modelo + multi API Elásticamente escalable Consistencia personalizable Baja latencia asegurada El único servicio con SLAs respaldados financieramente cubriendo latencia, disponibilidad, rendimiento y consistencia. 99.99% HA Throughput Guaranteed Consistency Guaranteed SLAs en 4 dimensiones <10ms Latency 99th percentile Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. 10/27/2017 1123 al 27 de Octubre 2017.NET Conf UY v2017
- 12. Distribución global Multi-modelo + multi API Elásticamente escalable Consistencia personalizable Baja latencia asegurada SLAs en 4 dimensiones Presentando Azure Cosmos DB Base de datos como servicio distribuída globalmente, multi-modelo y altamente escalable. 10/27/2017 1223 al 27 de Octubre 2017.NET Conf UY v2017
- 13. No Problem No Schema 10/27/2017 1323 al 27 de Octubre 2017.NET Conf UY v2017
- 14. 10/27/2017 1423 al 27 de Octubre 2017.NET Conf UY v2017
- 15. 23 al 27 de Octubre 2017.NET Conf UY v2017 DocumentDB API
- 16. 23 al 27 de Octubre 2017.NET Conf UY v2017 Jerarquía de recursos
- 17. Demo time! 10/27/2017 1723 al 27 de Octubre 2017.NET Conf UY v2017
- 18. 23 al 27 de Octubre 2017.NET Conf UY v2017 Herramientas de desarrollo API REST Azure Cosmos DB
- 19. 23 al 27 de Octubre 2017.NET Conf UY v2017 Soporte geo-espacial
- 20. 23 al 27 de Octubre 2017.NET Conf UY v2017 MongoDB API
- 21. 23 al 27 de Octubre 2017.NET Conf UY v2017 Usando las mismas herramientas MongoDB wire protocol Azure Cosmos DB API for Mongo
- 22. 23 al 27 de Octubre 2017.NET Conf UY v2017 Aprovechando Cosmos DB
- 23. Demo time! 10/27/2017 2323 al 27 de Octubre 2017.NET Conf UY v2017
- 24. 23 al 27 de Octubre 2017.NET Conf UY v2017 Premium Tables API
- 25. 23 al 27 de Octubre 2017.NET Conf UY v2017 Tables API en Azure Cosmos DB Experiencia premium Distribuído globalmente Indices secundarios Latencia asegurada en el orden de los milisegundos Azure Cosmos DB: Table API Azure Storage: Standard Table API Azure Storage SDKs 100% Backwards compatible, Seamless experience
- 26. Demo time! 10/27/2017 2623 al 27 de Octubre 2017.NET Conf UY v2017
- 27. 23 al 27 de Octubre 2017.NET Conf UY v2017 Graph API
- 28. 23 al 27 de Octubre 2017.NET Conf UY v2017 Modelado del mundo real y sus relaciones Relaciones como ciudadanos de primera clase Optimizado para almacenar y recorrer grafos Gremlin estandard Gremlin API en Azure Cosmos DB Azure Cosmos DB: Graph API
- 29. 23 al 27 de Octubre 2017.NET Conf UY v2017 Servicio globalmente distribuido, elásticamente escalable, rápido y automáticamente indexado Motor escalable independientemente(usando Tinkerpop) Queries en Gremlin o SQL Procesamiento nativo de grafos
- 30. Demo time! 10/27/2017 3023 al 27 de Octubre 2017.NET Conf UY v2017
- 31. 23 al 27 de Octubre 2017.NET Conf UY v2017 Change Feed Logging and change-tracking patterns
- 32. 23 al 27 de Octubre 2017.NET Conf UY v2017 Change Feed Logging and change-tracking patterns Microsoft.Azure.DocumentDB.ChangeFeedProcessor
- 33. 23 al 27 de Octubre 2017.NET Conf UY v2017 Cosmos DB Trigger Serverless event-based
- 34. 23 al 27 de Octubre 2017.NET Conf UY v2017 Cosmos DB Trigger Serverless event-based
- 35. 23 al 27 de Octubre 2017.NET Conf UY v2017 Demo time!
- 36. 23 al 27 de Octubre 2017.NET Conf UY v2017 Seguridad & Conformidad Seguridad de nivel empresarial Encryption at Rest Por defecto Certificada Always encrypted at rest and in motion Data, index, backups, and attachments encrypted No impact on performance, throughput or availability Transparent to your application ISO 27001, ISO 27018, EUMC, HIPAA, PCI SOC1, SOC2, FedRAMP, IRS 1075, IL2, HITRUST (coming soon)
- 37. 23 al 27 de Octubre 2017.NET Conf UY v2017 Escenarios más comunes Utilizado por Microsoft para ofrecer servicios de escala planetaria Apps globales de mission crítica IoT Accommodate bursts of traffic and deliver low-latency multiplayer experiences Personalización Retail e e-commerce Gaming Guarantee uptime to users worldwide with high-availability and low-latency Scale instantly for uncertain IoT workloads without sacrificing performance Generate personalized service through low-latency and tunable consistency settings Support queries over product catalogs, traffic spikes, and rapidly changing inventory
- 38. 23 al 27 de Octubre 2017.NET Conf UY v2017 Probar antes de comprar Azure Cosmos DB Emulator aka.ms/cosmosdb-emulator
- 39. 23 al 27 de Octubre 2017.NET Conf UY v2017 Probar antes de comprar Azure Cosmos DB gratis azure.microsoft.com/try/cosmosdb/
- 40. 23 al 27 de Octubre 2017.NET Conf UY v2017 Gracias!! http://cosmosdb.com @AzureCosmosDB - @ealsur askcosmosdb@microsoft.com Matías Quaranta
Notas del editor
- Worldwide presence Automatic multi-region replication Multi-homing APIs Manual and automatic failovers Latency, throughput, consistency, and availability guarantees
- First party and popular third-party OSS APIs Key-value, Document, Columnar, and Graph DocumentDB (SQL and JavaScript), MongoDB, Table, and Gremlin Supported across number of programming languages More APIs to be added
- Pay by the hour, only what you need No partition management, no limits Change throughput at any time, effective in seconds Scale from 100 to 100s of millions of requests/sec across any number of regions Automatically indexed SSD storage Global distribution across Azure regions Automatic expiration via TTL Now supports requests/min to handle spikes cost-effectively
- While most database services force you to choose between strong or eventual consistency, Azure Cosmos DB provides multiple well-defined, intuitive consistency choices – so you can select just the right one for your app. Every globally distributed databases need to navigate the CAP theorem. This is a fact of life, how ever anyone else markets it. We take a unique approach to it by allowing our developers to define the consistency levels their application needs. With well-defined consistency model, you have the choice and control but also have predictability in the trade offs you are making. As a globally distributed database which is designed from the ground up, Cosmos DB has taken a unique approach to navigate the CAP theorem to provide well-defined behavior between the tradeoffs between latency/high availability and consistency.
- Globally distributed with reads and writes served from local region Write optimized, latch-free database engine designed for SSDs Synchronous and automatic indexing at sustained ingestion rates Single-digit millisecond latency at any scale
- Only service with financially-backed SLAs for millisecond latency at the 99th percentile, 99.99% HA and guaranteed throughput and consistency
- Multi-model nature is based on a schema-less storage
- <Explain BW-TREE indexing as lightly and clear as posible>
- Showcasing CosmosDB Data Explorer & Queries
- Migrate your MongoDB data to CosmosDB and keep using the same SDKs and apps; your applications will work just by changing your connection string
- Benefit from Azure CosmosDB’s global distribution and scaling features while using Mongo in your application
- Showcasing Mongo client with CosmosDB connection string
- Today, I have the privilege of announcing that Azure Cosmos DB will support Azure Tables API for a premium experience for Tables customers. You can now use Azure tables and get the same millisecond latency that Azure Cosmos DB offers and you can control the consistency level for your app. Your Azure Tables can automatically be distributed across any Azure region. With automatic indexing, you do not need secondary indexes and all of this is 100% backwards compatible. As a developer your experience is seamless – All it takes is to change a connection string. With support for Tables API, we are brining to you most of the top 10 asks. By GA, We will be bringing an update for existing Azure Tables and seamlessly migrating all of the current Azure Tables workloads to have the same functionality that we are announcing today with the simplicity and low cost of Azure Tables.
- Showcasing Azure Storage Tables SDK with CosmosDB connection string & Azure Portal Data Explorer
- Graph database provides a highly intuitive data model and allows us to to reflect how the world really operates. Graph databases and traversal allows us to find the relational connections between objects and data. In many scenarios that our customers use Azure Cosmos DB, one of the next steps often identified is the need to find these relationships and operate on them. They need to interact with the graph model. With Gremlin API support, we allow you to work with Azure Cosmos DB using the most popular graph language and standards out there.
- Showcasing Azure Portal Data Explorer Graph queries
- Update a cache, search index, or a data warehouse with data stored in Azure Cosmos DB. Implement application-level data tiering and archival, that is, store "hot data" in Azure Cosmos DB, and age out "cold data" to Azure Blob Storage or Azure Data Lake Store. Implement batch analytics on data using Apache Hadoop. Implement lambda pipelines on Azure with Azure Cosmos DB. Azure Cosmos DB provides a scalable database solution that can handle both ingestion and query, and implement lambda architectures with low TCO. Perform zero down-time migrations to another Azure Cosmos DB account with a different partitioning scheme.
- Changes are persistent in Azure Cosmos DB and can be processed asynchronously. Changes to documents within a collection are available immediately in the change feed. Each change to a document appears exactly once in the change feed, and clients manage their checkpointing logic. The change feed processor library provides automatic checkpointing and "at least once" semantics. Only the most recent change for a given document is included in the change log. Intermediate changes may not be available. The change feed is sorted by order of modification within each partition key value. There is no guaranteed order across partition-key values. Changes can be synchronized from any point-in-time, that is, there is no fixed data retention period for which changes are available. Changes are available in chunks of partition key ranges. This capability allows changes from large collections to be processed in parallel by multiple consumers/servers. Applications can request for multiple change feeds simultaneously on the same collection
- Changes are persistent in Azure Cosmos DB and can be processed asynchronously. Changes to documents within a collection are available immediately in the change feed. Each change to a document appears exactly once in the change feed, and clients manage their checkpointing logic. The change feed processor library provides automatic checkpointing and "at least once" semantics. Only the most recent change for a given document is included in the change log. Intermediate changes may not be available. The change feed is sorted by order of modification within each partition key value. There is no guaranteed order across partition-key values. Changes can be synchronized from any point-in-time, that is, there is no fixed data retention period for which changes are available. Changes are available in chunks of partition key ranges. This capability allows changes from large collections to be processed in parallel by multiple consumers/servers. Applications can request for multiple change feeds simultaneously on the same collection
- Changes are persistent in Azure Cosmos DB and can be processed asynchronously. Changes to documents within a collection are available immediately in the change feed. Each change to a document appears exactly once in the change feed, and clients manage their checkpointing logic. The change feed processor library provides automatic checkpointing and "at least once" semantics. Only the most recent change for a given document is included in the change log. Intermediate changes may not be available. The change feed is sorted by order of modification within each partition key value. There is no guaranteed order across partition-key values. Changes can be synchronized from any point-in-time, that is, there is no fixed data retention period for which changes are available. Changes are available in chunks of partition key ranges. This capability allows changes from large collections to be processed in parallel by multiple consumers/servers. Applications can request for multiple change feeds simultaneously on the same collection
- As a foundational Azure Service, Security and Compliance is an important aspect of Azure Cosmos DB. As I previously mentioned, several high value Microsoft services that have stringent compliance and security requirements are built on Azure Cosmos DB. All of the data is encrypted at rest and it is enabled by default. We made sure that we continue to provide the performance guarantees even with encryption enabled and this is transparent to your application. The service is HIPAA , PCI, ISO certified and other compliance certifications are in the process with all of them estimated to be completed by next month.