It may be hard to believe in 2018, but there was once a time before Amazon Web Services. In 2006, Amazon launched what was to become the most dominant platform in cloud computing - the Elastic Compute Cloud (EC2). While there were a lot of early adopters who could see the benefits of...

Our Payara Engineers have been working very hard on lots of new features ready for our final 5.181 release! One of the key features we intend to deliver is compatibility with MicroProfile 1.2, which will include (among other things) a Fault Tolerance API.

In Payara Server 5 we will be introducing some major changes to the way clustering is working by creating the Domain Data Grid (see documentation for more info). The Domain Data Grid will be easier to use, more scalable, more flexible and ideally suited for cloud environments and cloud-native...

Payara Micro supports Hazelcast out of the box, and can be used for clustering. This allows members in the cluster to distribute data between themselves, amongst other things. By default, Hazelcast comes with multiple ways to discover other members in the same network. A multicast discovery...

Both Payara Server and Payara Micro can cluster together and share data using Hazelcast. Out-of-the-box, there is no configuration needed, since Hazelcast uses multicast to discover and join other cluster members. However, when running in cloud environments like AWS, for example, there are a lot...

The Payara Micro 173 release had a few changes which will make the lives of Docker users easier. This blog will cover the changes which affect Payara Micro in Docker,  demonstrating the following:

• Using the new Payara Micro 5 Docker image, which provides Java EE 8 features.

• Deploying...

In this blog, which follows on from the  Cloud Connectors in Payara Micro, we will explain the Amazon Simple Queue Service (SQS) connector and how to use it in Payara Server / Micro.

In this blog, which follows on from the introduction to Cloud Connectors in Payara Micro, we will explain MQTT and how to use it in Payara Micro with Mosquitto.

In this blog, which follows on from the introduction to Cloud Connectors in Payara Micro, we'll guide you through the process of setting up Payara Micro as a Kafka Client, which can produce and consume data from Apache Kafka.

Payara Micro 172 brings with it support for JCA adapters, meaning it can be used as a client for Java Messaging Service (JMS) brokers. JMS is a Java EE API which provides a common interface for standard communication protocols. This means that you can send and receive messages between systems in...