live wire
▸Red Hat ships important MicroShift 4.16.73 security updateRed Hat Product Errata▸AI · Red Hat maps local AI Inference serving and load tests on RHEL (Oct. 15)Red Hat Emerging Technologies▸PLATFORM · IBM guide maps Secure Execution VMs onto OpenShift Virtualization for LinuxONEIBM Community▸AI · vLLM maps Nemotron 3.5 Super VL across Hopper, Blackwell and Red Hat DSpark (Oct. 15)vLLM Recipes▸AI · AWS contributes push-based KV transfer to vLLM, reporting 3x better TTFT under loadAWS Machine Learning Blog▸AI · AWS contributes bidirectional KV transfer to vLLM, cutting multi-turn TTFT up to 3.3xAWS Machine Learning Blog▸AI · vLLM Semantic Router adds d3-turbo with box and video-tracking decisionsvLLM Semantic Router▸IDENTITY · Keycloak DevDay 2027 opens call for deep technical talks through Oct. 24Keycloak▸AI · vLLM Recipes maps Muse Spark Open to single-node Blackwell and AMD deployment (Oct. 16)vLLM▸PLATFORM · Clang 23 bytecode interpreter cuts allocations and expands constant-expression supportRed Hat Developer▸PLATFORM · RHEL becomes first-party on OCI; OpenShift subscriptions reach Oracle MarketplaceRed Hat▸AI · vLLM-Omni merges native MOSS-Image serving with parallelism and offloadvLLM▸AI · vLLM adds System One endpoint for Decision 3.0 multimodal routing models (Oct. 15)vLLM▸SECURITY · Red Hat rates OpenShift AI 3.4.5 update Critical; advisory lists hundreds of CVEsRed Hat Product Security▸Red Hat ships important MicroShift 4.16.73 security updateRed Hat Product Errata▸AI · Red Hat maps local AI Inference serving and load tests on RHEL (Oct. 15)Red Hat Emerging Technologies▸PLATFORM · IBM guide maps Secure Execution VMs onto OpenShift Virtualization for LinuxONEIBM Community▸AI · vLLM maps Nemotron 3.5 Super VL across Hopper, Blackwell and Red Hat DSpark (Oct. 15)vLLM Recipes▸AI · AWS contributes push-based KV transfer to vLLM, reporting 3x better TTFT under loadAWS Machine Learning Blog▸AI · AWS contributes bidirectional KV transfer to vLLM, cutting multi-turn TTFT up to 3.3xAWS Machine Learning Blog▸AI · vLLM Semantic Router adds d3-turbo with box and video-tracking decisionsvLLM Semantic Router▸IDENTITY · Keycloak DevDay 2027 opens call for deep technical talks through Oct. 24Keycloak▸AI · vLLM Recipes maps Muse Spark Open to single-node Blackwell and AMD deployment (Oct. 16)vLLM▸PLATFORM · Clang 23 bytecode interpreter cuts allocations and expands constant-expression supportRed Hat Developer▸PLATFORM · RHEL becomes first-party on OCI; OpenShift subscriptions reach Oracle MarketplaceRed Hat▸AI · vLLM-Omni merges native MOSS-Image serving with parallelism and offloadvLLM▸AI · vLLM adds System One endpoint for Decision 3.0 multimodal routing models (Oct. 15)vLLM▸SECURITY · Red Hat rates OpenShift AI 3.4.5 update Critical; advisory lists hundreds of CVEsRed Hat Product Security
upstreambeat.ai
releaseJAVA

Quarkus 3.40 opens a new 12-month LTS line

The release carries the Quarkus 3.39 code line into a year of support and gives teams a documented path from the previous 3.33 LTS.

Old Quarkus LTS path versus new 3.40 LTS path.
AI-generated illustration
By The News Desk· Oct 1, 2026the quick take — two AI hosts go live when you do

Quarkus has released version 3.40 as its new long-term support line, giving application teams a 12-month support window for the release. The project says 3.40 is built on Quarkus 3.39 and is its direct continuation rather than a separate feature train.

What changed

The LTS designation is the main change. Quarkus says the core of 3.40 is based on 3.39, with additional fixes included in 3.40.1. For teams already running 3.39, the project says there is nothing extra to do when moving to 3.40 LTS.

The platform also updates a set of components around the framework. The release includes Camel Quarkus 3.40.0, Quarkus CXF 3.40.0, Quarkus LangChain4j 1.13.3, Quarkus MCP Server 2.0.1 and Debezium 3.6.3.Final. Other listed upgrades include Quarkus Amazon Services 3.22.1, Google Cloud Services 2.24.0, Operator SDK 7.8.0, Vault 4.10.0 and Qpid JMS 2.14.0.

Quarkus also said work is underway on the first beta of Quarkus 4. That work is separate from the new 3.40 LTS line announced here.

Who is affected

The release matters most to teams standardizing on supported Quarkus baselines. Users on the previous LTS, Quarkus 3.33, need to account for the changes introduced across versions 3.34 through 3.40. The announcement links the migration guide for each intervening release and notes that the 3.40 guide itself is empty because 3.40 continues 3.39.

Teams using the listed platform components should also check the new bundled versions as part of their upgrade review, particularly where application behavior or extension compatibility depends on those components.

What to do

Quarkus recommends installing the latest Quarkus CLI and running quarkus update. The project says the command can update applications from any Quarkus version, including 2.x, to 3.40 LTS.

That automation does not replace migration review. Quarkus says the update command should handle most of the heavy lifting, but some cases still require manual changes. Teams moving from 3.33 LTS should therefore work through the linked migration guides in sequence, test their extensions against the upgraded component set and verify application behavior before adopting 3.40 as their supported baseline.

Filed by The News Desk. Corrections: desk@upstreambeat.ai · Our standards →

comments · 0

    Comments are moderated before they appear. Your email is used once to confirm it is you — never shown, never sold. Corrections and questions get an answer from the desk when we have one.