Posts tagged How-to
For a long time Payara, a derivative of GlassFish, could be used in Eclipse using the Oracle GlassFish Tools. With the release of Payara 5, a few problems prevented the plug-in from recognizing Payara 5, meaning Payara 5 couldn’t really be used in Eclipse. A new set of tools again makes it possible to use Payara 5 with Eclipse, along with other improvements.
As part of release 220.127.116.11, new notifier integrations were developed for Payara Server for the New Relic and DataDog application performance monitoring (APM) services. Both services allow the gathering of JVM statistics, HTTP metrics and support the use of notification for critical events in the server lifecycle management. In this era of cloud services, performance monitoring is an integral part of the IT infrastructure for any organization, which is the reason integration with these services has been brought to Payara Server. This article will show how to correctly set up these notifiers to that purpose.
Previously in GlassFish and Payara Server, if you wanted to monitor the status of your application's MBeans, you would have to rely mostly on external programs to capture the data. In Payara Server 174, we integrated the JMX Monitoring service with our existing notification service, meaning that you can now remotely receive monitoring data via any of our notifiers, from email to Slack.
PostgreSQL is a fully SQL-Compliant relational database you can use with Payara Server and with no commercial licensing requirements it is well suited for production environments. This blog will show you how to set up a new PostgreSQL installation on Ubuntu and connect to it from Payara Server.
Have you ever wondered how Micro is Payara Micro?
At first, this was a fun experiment installing a terminal app on my Android phone and playing around with some Linux commands. One thing lead to another and I ended up running a Payara Micro instance on my device! In this article, I'm going to show you exactly how to do that.
Admitting When You’re Wrong
Just recently, I have had to admit being wrong. Very wrong. Way back at the start of October, I was feeling the familiar sensation of panic and dread that only happens right before I need to give a presentation that includes a demo! In the end, there were major problems with the AV setup in the room I was allocated, so even arriving as early I could to set up didn’t give the techs enough time to hook up my laptop successfully.
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.