Red Hat Developer program provides no-cost software subscriptions, tutorials, and career insights to enterprise software developers and architects.
Joined June 2015
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Validate resilience before every release with #Krkn chaos testing. Inject pod failures, measure recovery against SLOs, and turn validated experiments into repeatable workflows.
Move from reactive fixes to proactive stability. #OpenShift
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Simplify package upgrades with dependency analytics. Detect vulnerable dependencies directly in your IDE, get clear remediation guidance, and apply quick fixes to upgrade to hardened versions without breaking changes.
#security #opensource
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Shift from rigid architectures to flexible HA features with @RedHat build of #Keycloak. Deploy dual-site failover using stateless instances, synchronized databases, and active health probing for seamless authentication continuity.
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Break through the multi-agent bottleneck. Group agents into domain teams with dedicated orchestrators to reduce decision surfaces, sharpen delegation, and maintain routing quality at scale.
#AI #developers #OpenShift
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Red Hat Developer retweeted
Red Hat AI Factory with @NVIDIA is helping enterprises scale autonomous agents with trusted security and control. The latest innovations span agent safety with the OpenShell Reference Architecture, optimized support for the latest open models, and Day 0 enablement for NVIDIA Vera Rubin. Learn more: red.ht/4z3zmuy #NVIDIAGTC
Red Hat Developer retweeted
Red Hat Enterprise Linux 26.03 is here, delivering a partner-optimized edition of #RHEL to support the latest @NVIDIA hardware, including the upcoming Vera Rubin platform. Get hardware enablement on Day 0 without changing operating systems or sacrificing security controls like SELinux. red.ht/4i5v0M8 #NVIDIAGTC
鈿掞笍 Build smarter applications with semantic judgments. Jev uses Choice, Noul, and Score question types to assess customer intent, frustration levels, and routing decisions, all from structured state.
Confidence metrics keep humans in the loop. #AI
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Integrate #AI directly into your ticketing workflows with the speeding-up-ticket-resolution quickstart. Built on #OpenShift AI, it demonstrates agent routing, RAG knowledge bases, evaluation frameworks, and distributed tracing.
馃憖 See for yourself.
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Migrate custom plug-ins before upgrading to #RedHat Developer Hub 2.1. The new front-end system removes Scalprum mount points and legacy code, cutting image sizes while aligning with upstream #Backstage extension blueprints.
Get ready today. 馃憞
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馃搱 Turn metrics into insights. Create interactive dashboards for #AI model performance and #OpenShift cluster metrics using #Prometheus.
Visualize your stack: red.ht/4vfMniD
Perform rolling updates of existing running applications, which means you can spin up a different version of an application鈥攏ewer or older鈥攖han the current one, and have the traffic automatically routed to it.
Get started. 猬囷笍
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Discover string pointers in #Clang's bytecode interpreter, a new pointer type that models string literals without allocating memory, backed directly by AST nodes for improved efficiency and proper instance comparison. red.ht/4BcxZLq
Deploy and manage models flexibly and consistently on #RHEL or #OpenShift. Get supported, fit-for-purpose Granite models and tune them easily with InstructLab.
Bring #AI to your enterprise with #RedHat AI. 馃攽
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Discover how you can onboard application developers onto Developer Hub, so they can import and use the relevant template and run the application in the development environment.
#DeveloperSandbox
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Centralize #developer environments with @RedHat #OpenShift Dev Spaces. Eliminate laptop configuration drift, manage rootless #Podman security contexts, and track capacity with #Prometheus ServiceMonitors for production-ready cloud development.
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馃敁 Unlock efficient memory management in #OpenShift Virtualization. See how MGLRU algorithms, live migration, and cluster-wide balancing shift from rigid 1:1 reservations to smart, pressure-aware orchestration that maximizes your hardware utilization. red.ht/4jHzhrJ
Compare #opensource inference engines for production #AI workloads. vLLM and SGLang each started with different approaches to GPU memory management, but both now deliver fast performance for agents, RAG pipelines, and chat applications.
Check it out 猬囷笍 red.ht/47Q48uO
Double inference throughput with 0锔忊儯 accuracy loss. @RedHat_AI released FP8 & DSpark speculative decoding checkpoints for NVIDIA Nemotron Super 3.5 VL (120B MoE).
Optimizations yield 2x gains on Hopper GPUs. Available on Red Hat AI Factory with @nvidia. red.ht/4dH3OlD
Configure SCM integration, deploy a private extension registry, and enable JetBrains IDE workflows in enterprise networks with #OpenShift Dev Spaces. Balance #developer experience with strict #security for #cloudnative environments.
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Transform your #RHEL 10 operating system into an OCI container image using image mode. Test with bcvk's ephemeral mode, run persistent VMs, or create bootable disks - no configuration drift, just consistent deployments.
Build once, deploy everywhere.
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