Posts tagged JVM

Fine Tuning Payara Server 5 in Production

One of the biggest challenges when developing applications for the web is to understand how they need to be fine-tuned when releasing them into a production environment. This is no exception for Java Enterprise applications deployed on a Payara Server installation. 

 

Running a Payara Server setup is simple: download the current distribution suited for your needs (full, web); head to the /bin folder and start the default domain (domain1)! However, keep in mind that this default domain is tailored for development purposes (a trait inherited from GlassFish Server Open Source). When developing a web application, it’s better to quickly code features, deploy them quickly, test it, un-deploy (or redeploy) it and continue with the next set of features until a stable state is reached. 

Impressions from the JVM Conference

The JVM Conference is a smaller conference with two tracks. But smaller doesn’t mean it is not worth attending. There is a very broad variety in topics from plain Java SE, backend development, to micro-services and containers in cloud environments with sessions aimed at Java programmers, operators, QA staff and IT architects. You can get up to speed in the latest trends in many areas.

 

Fine Tuning Payara Server in Production (Japanese)

Webアプリケーションを開発する際における最大の挑戦の一つは、商用環境へのリリース時にアプリケーションをどのように調整すべきかを理解することです。これはJavaのエンタープライズ・アプリケーションをPayara Serverへデプロイする場合でも例外ではありません。

 

Fundamentos de Payara Server Parte 6 - Creando un cluster dinámico con conmutación por fallas en Payara Server con Hazelcast

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.

 

See here for the original version in English language.

 

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.

Monitoring JMX Using the Notification Service

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.

Payara Server Basics Part 7 - Creating a simple Payara Server Cluster in Windows with DCOM

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.

Log directly to Logstash from Payara Server

(Guest blog)

When running multiple instances of an application server, it is quite hard to see correlations between events. One of the best tools to enable that is the ELK stack - Elasticsearch for building fulltext index of the log entries, Logstash for managing the inflow the events, and Kibana as a user interface on top of that.

Solutions for Payara Server exist, that use better parseable log format which can be then processed by Logstash Filebeat in order to have these log entries processed by a remote Logstash server.

 

In our project, we chose a different path — we replaced all logging in the server and our applications with Logback, and make use of the logback-logstash-appender to push the events directly to Logstash over a TCP socket. The appender uses LMAX disruptor internally to push the logs, so the processes does not block the application flow. This article will show you how to have this configured for your project as well.

 

Payara Server Basics Part 6 - Dynamic Clustering and Failover on Payara Server with Hazelcast

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.

Payara Server Basics Part 5 - Configuring Sticky Sessions for Payara Server with Apache Web Server

This article continues our introductory blog series on setting up a simple cluster with Payara Server, carrying straight on from our last blog where we set up load balancer on our cluster.

 

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.