Posts tagged Caching
Payara Server 5 Beta 2 がリリースされました!
Published on 25 Jan 2018
by Andrew Pielage
Topics:
What's New,
Caching,
MicroProfile,
Payara Server 5,
Japanese language
|
0 Comments
Payara Server 5 の (おそらく) 正式リリース前の最後となるベータ・リリースには、いくつかの大きな変更が含まれており、最終的な製品が (バグがなければ) どのようなものになるのか、お分かりいただけるようなものになっています。
Payara Server 5 Beta 2 release is here!
Published on 25 Jan 2018
by Andrew Pielage
Topics:
What's New,
Caching,
MicroProfile,
Payara Server 5
|
0 Comments
The (probably) final Beta release of Payara Server 5 before we release it proper, contains the bulk of the large changes we’re going to include to give you a good overview of what the final product will look like (barring any bugs!).
Payara Server Beta 1 がリリースされました!
Published on 22 Dec 2017
by Andrew Pielage
Topics:
What's New,
Caching,
MicroProfile,
Arquillian,
Payara Server 5,
Japanese language,
Kubernetes
|
0 Comments
お楽しみの、喜びの、奉仕の、そして釣りの (違った、最後のは私が付け加えただけです) 季節がやってきました。そして世界中の皆様、このお休みに (訳注: イギリスはクリスマスと翌日が祝日です) Payara Server 5 の最初のベータ・リリースをお届けします。ダウンロードはこちらからどうぞ。本当は何が欲しかったのか、私は知っているんですよ。
Payara Server 5 Beta 1 release is here!
Published on 22 Dec 2017
by Andrew Pielage
Topics:
What's New,
Caching,
MicroProfile,
Arquillian,
Payara Server 5,
Kubernetes
|
1 Comment
It’s the season of joy, cheer, giving, and fish (no, I haven’t just added the last one) and so as a gift to the world we’ve just released the first Beta release of Payara Server 5 in time for the holidays - download here. I know, it’s exactly what you wanted.
AWS Native Discovery with Payara Micro
Published on 23 Nov 2017
by Mike Croft
Topics:
Java EE,
Payara Micro,
Microservices,
Hazelcast,
Caching,
Cloud,
Amazon Cloud,
Uber JAR,
Cloud-native
|
1 Comment
Both Payara Server and Payara Micro can cluster together and share data using Hazelcast. Out-of-the-box, there is no configuration needed, since Hazelcast uses multicast to discover and join other cluster members. However, when running in cloud environments like AWS, for example, there are a lot of things which can stop discovery being quite so straightforward. The key thing is that Multicast is not available, meaning another discovery strategy is needed; the most common generic alternative is to use TCP, but this assumes that you know at least the intended subnet that your cluster members will be in ahead of time.
What's new in Payara Micro 171?
Published on 23 Feb 2017
by Fabio Turizo
Topics:
What's New,
Payara Micro,
Microservices,
Hazelcast,
Caching,
Admin,
Cloud,
MicroProfile
|
2 Comments
In case you missed the news earlier this week - we are pleased to announce a new release of Payara Micro and Payara MicroProfile 171 to start the new year with a bang! With this new release, we have implemented substantial changes that are meant to improve the stability and usability of both 'regular' and MicroProfile version of Payara Micro. As is usual with our releases, keep special attention to our blog in the following weeks to read detailed articles on these changes and features to take full advantage of them!
For Payara support customers, LTS - Long Term Support - has been introduced for both Payara Micro and Payara MicroProfile so you can expect a full year of patch releases which only include fixes - great news for users who value stability over new features (find out more about the support services here)!
All new changes and features introduced in this release are also included in Payara MicroProfile unless explicitly stated.
GlassFish to Payara Server Migration: Hazelcast as a Coherence ActiveCache Alternative
Published on 20 Jan 2017
by Fabio Turizo
Topics:
Hazelcast,
Caching,
Scalability,
GlassFish Migration
|
2 Comments
In our continuing series on alternatives for commercial Oracle GlassFish features , in this article we are looking at Hazelcast - a replacement for Oracle's Coherence ActiveCache.
Persistent EJB Timers in Payara Micro
Published on 31 Aug 2016
by Ondro Mihályi
Topics:
What's New,
Production Features,
Payara Micro,
Microservices,
Hazelcast,
Caching,
Clustering,
Scalability
|
0 Comments
Payara Micro is packed with most of the features and APIs that come with Payara Server Full Profile even though it doesn't entirely support whole Jakarta EE Full Profile. As an example, Payara Micro supports persistent EJB Timers, which are only required by the Jakarta EE Full Profile and not by the Web Profile. In Payara Micro, it's possible to use persistent EJB Timers, which are stored across your micro instances inside the distributed data grid as long as at least one instance in the data grid is up and running.
Payara Server Lite Nodes
Published on 09 Aug 2016
by Fabio Turizo
Topics:
What's New,
Payara Micro,
Microservices,
Hazelcast,
Caching,
Clustering,
Scalability
|
0 Comments
Java EE Microservices Platforms & High Performance Java EE with JCache– jDays 2016
Published on 19 Apr 2016
by Steve Millidge
Topics:
Payara Micro,
Microservices,
Hazelcast,
Caching,
Spring Boot
|
6 Comments
Recently I attended as a speaker at my second jDays, a great conference in a great venue in Gothenburg. jDays is a fantastic conference as it is small enough to easily meet people and network and discuss tech, while at the same time big enough to run multiple tracks so there is always a session on that you’ll be interested in.