InfoQ Homepage PaaS Content on InfoQ
-
Azure Cosmos DB: Low Latency and High Availability at Planet Scale
Mei-Chin Tsai and Vinod Sridharan discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability.
/presentations/azure-cosmos-db-scalability/en/mediumimage/azure-medium-1688993079936.jpg)
-
Bootiful Azure Spring Cloud
Julien Dubois, Josh Long discuss how Azure supports service discovery, centralized configuration, database binding, application scaling and monitoring, distributed tracing and blue/green deployment.
/presentations/azure-spring-cloud/en/mediumimage/Doibig-1591915187678.JPG)
-
Getting Started with Azure Event Hubs
Chad Green shows how to create an event-processing pipeline in Azure.
/presentations/azure-event-pipeline/en/mediumimage/Chad-Green-m-1588252194610.jpg)
-
Spring Data to Spring Cloud to Spring Security: How Azure Supercharges Spring Boot
Richard Seroter, Asir Selvasingh and Vaibhav Agrawal demo an application that features Spring Security for Azure AD, Spring Cosmos DB, Spring Stream Binder for Event Hubs, Azure Monitor, and others.
/presentations/spring-data-azure/en/mediumimage/Ricbig-1586123938386.jpg)
-
Build Node.js APIs Using Serverless
Simona Cotin talks about how to migrate an API of an existing app to Azure Functions, and how to use Visual Studio Code and the Azure Functions extension to speed up work.
/presentations/serverless-nodejs-api/en/mediumimage/Simbi-1562548914671.JPG)
-
From Managed Hybrid Hosting to Self-Service Microsoft Azure
Andy Courtenay takes a look at migrating an existing infrastructure setup over to Microsoft Azure, the trials, the tribulations, the facepalms and the ultimate freedom to grow it delivered in the end.
/presentations/migrate-microsoft-azure/en/mediumimage/andy-m-1560406927636.jpg)
-
Docker Data Science Pipeline
Lennard Cornelis explains why they chose OpenShift and Docker to connect to the Hadoop environment, also how to set up a Docker container running a data science model using Hive, Python, and Spark.
/presentations/ing-docker-hadoop/en/mediumimage/Lenbig-1558321090152.JPG)
-
Journey to Cloud Architecture
Dylan Smith discusses the architectural challenges faced turning TFS into Azure DevOps, the evolution of the architecture, and lessons learned along the way.
/presentations/microsoft-tfs-azure-devops/en/mediumimage/Dybig-1548038172816.JPG)
-
Going Cloud Native with Spring Cloud Azure
Yitao Dong and Yawei Wang show how to create cloud native apps with Spring Cloud on Azure.
/presentations/cloud-native-spring-azure/en/mediumimage/Yibig-1542855852644.JPG)
-
Accelerated Spark on Azure: Seamless and Scalable Hardware Offloads in the Cloud
Yuval Degani shows how hardware accelerations in Azure can be utilized to speed-up Spark jobs, with the aid of RDMA (Remote Direct Memory Access) support in the VM.
/presentations/spark-azure-hardware-acceleration/en/mediumimage/Yuval-Degani-m-1541385111862.jpeg)
-
Quickly Build Spring Boot Applications to Consume Public Cloud Services
Prasad Bopardikar , Colin Stevenson discuss creating Spring Boot apps that can be deployed on PCF on various public clouds.
/presentations/spring-boot-pcf-public-clouds/en/mediumimage/Doibig-1529807021896.jpg)
-
Top Ways to Deliver Your Spring Code to the Cloud
Brian Benz shows how Java developers can deliver Spring code to Azure based on Spring Music as an example, using Linux command line tools, open source tools such as Jenkins, and other free SDKs.
/presentations/java-spring-azure/en/mediumimage/Briabig-1524312078687.JPG)