Jakarta NoSQL is a new standard for accessing non-relational databases on the cloud. Cosmos DB is a best-of-breed planet scale database service on Azure that is compatible with MongoDB, Cassandra, Gremlin and more.
In this session we will see how to use these technologies together in cloud native Jakarta EE applications. Most of the session will be demos with a minimal number of slides.
There are several key techniques to understand while using Kubernetes with Java EE, Jakarta EE and MicroProfile applications. Examples include:
For the last few years the terms cloud-native and microservice architecture have been used interchangeably. However recently people have ceased to view microservices as the go-to solution for all problems, reflecting a growing maturity in our understanding of how to best take advantage of the benefits of cloud computing.
For most enterprise projects, testing is not really fun. It’s boring, cumbersome, and takes time and effort — especially for distributed applications or when changes in existing functionality forces test scenarios to adapt. Still, software tests are crucial; so, how can we tackle them in an effective and productive way?
The Jakarta NoSQL specification defines a set of APIs that provides a standard implementation for most NoSQL databases. Based on the Eclipse JNoSQL project, Jakarta NoSQL is considered "one API for many NoSQL databases" as it supports the various types of NoSQL databases: document, column, key-value and graph.
When it comes to API, REST is king. Its simplicity and pragmatism have seduced the greatest number of people. Even if the good practices and recommendations of Roy Fielding, its founder, are not always well implemented…
This workshop traverses the new features in Jakarta EE 9 by introducing the Cargo Tracker application. This end-to-end example is a new project at the Eclipse Foundation and aligned with Jakarta EE. Cargo Tracker brings back some of the ideas of the Java EE Blue Prints efforts of years past. Some of the new Jakarta EE 9 features demonstrated in Cargo Tracker include SSE, Jakarta Security, asynchronous event observers, repeatable annotations, and the Date-Time API.
Jakarta NoSQL is a new standard for accessing non-relational databases on the cloud. Cosmos DB is a best-of-breed planet scale NoSQL database on Azure that is compatible with MongoDB, Cassandra and Gremlin. In this session we will see how to use these technologies together in cloud native Jakarta EE applications. Most of the session will be demos with a minimal number of slides.
There are several key techniques to understand while using Kubernetes with Jakarta EE and MicroProfile applications. Examples include:
This fast-paced, demo-driven, entirely slide free session will show you the many ways of effectively deploying a Jakarta EE application to Azure. We will start by deploying a local Jakarta EE application to basic IaaS on Azure. We will then deploy the same application to a managed Azure PaaS. Finally we will deploy the application to Azure using Docker and Kubernetes. We will discuss the trade-offs of each approach on the way, offering guidelines for which approach might be best for your application on the cloud.
