Posts from Patrik Duditš

Photo of Patrik Duditš
Guest blogger. Java Developer and Solution Architect.

You Might Not Need Kubernetes. Or Containers.

Kubernetes is a topic that is frequently discussed in the development community, especially as the IT landscape increasingly shifts towards cloud and microservices. However, it’s crucial to evaluate whether it is genuinely indispensable for your environment or just another case of the next 'new and shiny' object capturing attention without substantial benefits. In this blog, we’ll delve into the reasons why Kubernetes might sometimes fall victim to the hype and explore whether it is the right fit for all scenarios. 

Deploying to Payara Cloud from a GitHub Action Workflow

Payara Cloud provides an easy-to-use user interface to allow your application to run in a managed cloud environment. While this is very convenient for configuration and troubleshooting work, integration in continuous deployment pipelines calls for something else.

 Our answer is deploying to Payara Cloud using a GitHub Action Workflow and Payara Cloud Command Line (PCL). 

Faster Payara Micro Startup Times with OpenJ9

One of the performance metrics that are frequently compared  by developers are startup times. Payara Server is designed to be manageable at runtime, with a central management server (DAS - domain administration server) and multiple instances, and as such is not optimized for extremely fast startup time. Payara Micro on the other hand, is optimized to run predefined workloads with a stable configuration at runtime, and is therefore a better fit for for comparing start up time metrics.

In this blog, let's take a look at how you can configure Payara Micro for fast startup time by utilizing the class data sharing feature of Eclipse OpenJ9.

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.