Mulesoft provides a wide range of connectors. The MS SQL server can be used with Mulesoft to query data from a table, insert data into a table, and more.
I'm positively surprised by Apache Camel. Before I started working on this example, I didn’t expect it to have so many features for microservice solutions.
By making some changes, appending some properties to log4j.xml, and using custom Java code to connect to the database, we can make logging to a database possible.
In this post, we'll walk you through a tutorial on how to create an MVC CRUD application using KnockoutJS in conjunction with an SQL database and Visual Studio.
This simple solution could meet most of the enterprises’ applications or APIs needs. Enterprises need to implement rate limiting in their applications.
GRAKN.AI is a deductive database in the form of a knowledge graph that uses machine reasoning to simplify data processing challenges for AI applications.
Although ''microservices'' might seem like a buzzword, I suggest taking advantage of the modernized techniques that the microservices movement is generating.
Windows Azure Service Bus is a brokered, scalable, multi-featured messaging queuing system. It's a reliable message queuing and durable publish/subscribe system.
Uncle Bob's Clean Architecture keeps your application flexible, testable, and highlights its use cases. But there is a cost: No idiomatic framework usage!
Spring Boot and Swagger 2 play together very well. Just add the dependencies, one configuration file, and a bunch of annotations, and you're ready to go!
When you are going to add DataSense to a custom connector, having configuration declaration is mandatory irrespective of whether the configuration is mandatory.
With cloud-native microservices, you can develop, test, deploy, and maintain independent lightweight services while combining various other technologies.