Posts tagged Payara Server Basics - Series
This is the first article of “Basics of Payara Server Admin Console” blog series. I’ll explain how to use Admin Console of Payara Server in this blog series. In this article, I’ll explain the concept of Admin Console and its role in Payara Server, which is important before you start using the Admin Console.
*Note: This blog post is an update to Dynamic Clustering and Failover on Payara Server With Hazelcast, which was written for Payara Server 4.
This article continues our introductory blog series on setting up a simple deployment group with Payara Server, carrying straight on from our last blog where we configured sticky sessions for Payara Server.
*Note: This blog post is an update to Configuring Stick Sessions for Payara Server with Apache Web Server, which was written for Payara Server 4.
This article continues our introductory blog series on setting up a simple deployment group with Payara Server, carrying straight on from our last blog where we set up a load balancer for our deployment group.
Note: This blog post is an update to Creating a Simple Cluster, which was written for Payara Server 4.
Continuing our introductory blog series, this blog will demonstrate how to set up a simple Hazelcast deployment group containing two instances. Deployment groups were introduced with Payara 5 to replace clusters. They provide a looser way of managing servers, allowing instances to cluster by sharing the same configuration whilst providing a single deployment target for all of them. See here to read more about Deployment Groups.
*Note: This blog is updated for compatibility with Payara Server 5, from our original post created for Payara Server 4:
In this blog series, we will aim to give an overview of the basics of using Payara Server in a production scenario using Apache Web Server (sometimes called httpd) and Ubuntu. Many of the concepts described in these blogs do not rely on the tools we are using here and can be applied to other scenarios.
Our aim is to configure the following:
Avanzando más nuestra serie de blogs de introducción, esta entrada mostrará como puedes escalar de forma dinámica tu cluster, y como Payara Server maneja la conmutación por fallas entre miembros del cluster.
La conmutación por fallas es la habilidad de continuar proporcionando acceso a nuestro sitio web o aplicación en el caso de que un servidor falle. Es una parte importante de un servicio que goza de alta disponibilidad, cuyo objetivo es minimizar los tiempos de inactividad a lo largo de tu infraestructura de servicios.
Taking our introductory series onwards, this blog will look at how you set up a simple Payara Server cluster on Windows using the native remote control protocol, DCOM. We will set up two instances on Windows 10, controlled by a third Domain Administration Server (DAS) instance on Windows 7 via DCOM, and cluster them together using Hazelcast. Finally, we will deploy our trusty clusterjsp application to demonstrate how the data is being shared across our instances.
Further developing our introductory blog series, this post will look at how you can dynamically scale your cluster, and how Payara Server handles failover between cluster members.
Failover is the ability to continue to provide access to your website or application in the event of a server failing. It is an important part of high availability hosting, which aims to minimise downtime across your server infrastructure.
By clustering our Payara Servers together and balancing traffic between them with Apache Web Server we keep the benefits of having our application accessible from a single URL and gain the resilience and expansion prospects from having our application deployed across multiple instances.