Java Language Architect Brian Goetz on Java and the JDK

Java Language Architect Brian Goetz on Java and the JDK

On this week’s podcast, Wes Reisz talks with Brian Goetz. Brian is the Java Language Architect at Oracle. The two start with a discussion on what the six-month cadence has meant to the teams developing Java. Then move to a review of the features in Java 9 through 12. Finally, the two discuss the longer-term side projects (such as Amber, Loom, and Valhalla) and their role in the larger release process for the JDK. * The JVM’s sixth-month cadence changed the way the JDK is delivered and planned. While it definitely provides more rapid delivery at expected intervals, the release train approach turned out to also improve flexibility and efficiency. * Oracle JDK and OpenJDK are almost identical. Most of the JDK distributions are forks from OpenJDK with different bug fixes and backports applied. So the difference between the distributions now is largely which bug fixes are picked up. * Local Variable inference (which was released as part of Java 10) illustrated the tension on making changes to the language. Many people wanted the change, but many others felt it would enable people to write bad code. Oracle had to balance the two views when making the change. * The number of Java versions allow finer grain decision making on what is appropriate for an application. With the adoption of containers, applications are bundled with an exact JDK version rather than having to use one from a systems level. The different versions give developers more options. * Incubating features are new libraries added to the JDK. They were offered starting with Java 9 as a way for people to test and offer feedback more rapidly. With Java 12, preview features will be released. Preview features are similar but are core platform and language features. * Shenandoah and ZGC are both low latency garbage collectors. They originally came from different sources. While both garbage collectors are similar, each has different performance characteristics under different workloads. The two garbage collectors represent options available to JVM developers. * Most non-trivial JDK features take more than six months to develop. Longer term side projects like Amber, Loom, Valhalla are where these features are developed prior to being released with a version of the JDK. The projects range from language enhancements to concurrency work.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(396)

AI, ML, and Data Engineering InfoQ Trends Report 2026

AI, ML, and Data Engineering InfoQ Trends Report 2026

In this episode of the podcast, members of the InfoQ AI and MIL editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular featur...

30 Okt 1h 11min

The Future of Web Apps: Will AI Agents Generate UIs on the Fly?

The Future of Web Apps: Will AI Agents Generate UIs on the Fly?

Rachel Lee Nabors, former React core team member, dives into the architecture and philosophy behind local-first applications, exploring how small language models (SLMs) running directly on-device can ...

19 Okt 47min

What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz

What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz

In this podcast, Michael Stiefel spoke to Joy Ebertz about how the use of artificial intelligence is changing the way architects and developers do their jobs. Focusing on the long term success of the ...

12 Okt 44min

Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography

Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography

In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion exp...

5 Okt 34min

The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle

The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle

In this podcast, Michael Stiefel spoke to Erin Doyle about how artificial intelligence tools are transforming the software development process, and how they are affecting software engineers. Architect...

28 Sep 54min

The Future of AI: From Enterprise Adoption to Open Source Sovereignty

The Future of AI: From Enterprise Adoption to Open Source Sovereignty

In this episode, a panel of AI experts, Meryem Arik (DoubleWord), Clara Higuera Cabañes (BBVA), and Jeff Smith (C Proof), demystify the current state of AI in the enterprise. The discussion navigates ...

25 Sep 52min

Securing AI Agents: Identity, Authorisation, and the DPACT Framework

Securing AI Agents: Identity, Authorisation, and the DPACT Framework

In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditabil...

21 Sep 41min

How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman

How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman

In this podcast Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained....

14 Sep 36min

Populært innen Teknologi

energi-og-klima
teknisk-sett
rss-kunstig-intelligens-med-elisabeth-maren-og-morten
shifter
nasjonal-sikkerhetsmyndighet-nsm
rss-ai-forklart
pedagogisk-intelligens
elektropodden
fornybaren
lydartikler-fra-aftenposten
rss-snakk-om-sikkerhet
rss-alt-som-gar-pa-strom
tomprat-med-gunnar-tjomlid
rss-teknologioptimistene-en-podkast-om-teknologi-og-mennesker
rss-digitaliseringspodden
smart-forklart
rss-larervarelset
rss-ki-til-kaffen
rss-ki-praten
digital-forretningsforstaelse