Posts tagged Production Features
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.
Back in 2016, we wrote about the importance of automation in taking applications from development to production with Payara Server. Since then, there have been a lot of changes both in Payara Server and Payara Micro and the wider tech landscape.
In the last few weeks, we have released two builds of Payara Server; our new major version 172 and third patch build of version 171 - 171.3. This is the first time we've ever released two distinct builds in the same month, so why are we doing it?
Kick-starting yet another year, we are pleased to announce our largest release yet - Payara Server 18.104.22.168. Building on a year's worth of updates and improvements, in this release, you can find 18 brand new features and over 60 new fixes and enhancements for Payara Server & Payara Micro! Given the size of the additions, look out for detailed blogs in the near future. For now, check out below for a summary of the changes in 171 release, and have a look at the full release notes.
Another quarter, another release! After an eventful 2016, November brings with it the final release of the year for Payara Server. This year, we've seen new services like Request Tracing and Health Check added, as well as the Slow SQL logger and SQL Trace Listeners. Revisiting the version of the documentation from 1 year ago and comparing the amount we have added since then is, frankly, astonishing!
Despite a bumper year for both new features and bug fixes, work continues apace! Below is a short summary of some of the things to look out for in a release that caps an incredible 12 months.
TIP: Don't deploy any apps to the DAS in production!
As is the case with all my stories, this one began at a customer site. They had an old app they were migrating from GlassFish 3.1.2 to the latest version of Payara Blue. They'd called me in because they wanted to benchmark performance of the new version of Payara Blue on AIX against their existing GlassFish 3.1.2, also on AIX, as well as against a recent version of JBoss (I'm unsure of the version, though I know it was deployed on Windows).
Payara Micro is packed with a lot of the APIs that come with Payara Server Full Profile, and even more features targeted at clustered deployments. Now, since version 163, it is also possible to use persistent EJB Timers, which are stored across your micro instances inside the distributed Hazelcast cache.