Voxxed Days CERN 2026

A practical talk on supply chain attacks, dependency confusion, SBOMs, Maven/NPM controls, hardened images, and resilience after Log4Shell.

log4shell, supply chain attack, dependency confusion, maven dependency management, npm package security, sbom software bill of materials, owasp dependency-check, cyclonedx spring boot

CERN’s EDH modernization talk covers refactoring a 30-year monolith, domain ownership, library-based core extraction, testing, and versioning.

cern edh modernization, legacy monolith refactoring, monolith to modular architecture, fork and migrate strategy, domain ownership, spring framework upgrade, spring 5 to spring 6 migration, library-based core extraction

Why LLMs struggle with scheduling and planning, and how Java-based optimization with Timefold Solver solves real-world roster and routing problems.

llm scheduling limitations, ai scheduling optimization, timefold solver, java optimization framework, nurse rostering, vehicle routing problem, conference scheduling, school timetabling

Kevlin Henney examines programming language history, rankings, language evolution, and the impact of AI on mainstream languages and tooling.

programming language evolution, kevlin henney, voxxed days cern, tiobe index, redmonk ranking, ieee spectrum top programming languages, fortran history, algol 68

A practical IntelliJ IDEA walkthrough covering navigation, code completion, refactoring, debugging, language injection, Git, and custom inspections.

intellij idea productivity, intellij idea shortcuts, search everywhere, recent files navigation, bookmarks in intellij idea, live templates java, postfix completion, command completion intellij

How CERN can use Model Context Protocol to query LHC scheduling data safely, reduce context size, and keep conflict logic in code.

model context protocol, mcp server, cern, lhc scheduling, large hadron collider, ms project, llm tool use, context window management

Learn how Model Context Protocol connects LLM host apps to enterprise tools like Mattermost, Jira, and Obsidian through MCP servers.

model context protocol, mcp, ai tool calling, llm host applications, mcp server, enterprise integrations, mattermost integration, jira automation

A practical talk on Kubernetes cost and capacity optimization using requests/limits, autoscaling, vertical scaling, ARM, and hibernation.

kubernetes resource optimization, kubernetes requests and limits, cpu throttling in kubernetes, kubernetes memory limits, ephemeral storage eviction, cluster autoscaler, karpenter, vertical pod autoscaler

Learn how RamaLama uses containers, local inference runtimes, and Kubernetes to run open source AI models reproducibly and securely.

ramalama, open source ai models, local llm inference, containers for ai, podman, docker, kubernetes ai deployment, llama.cpp

Learn how game days and chaos engineering help teams practice incident response, validate resilience, and improve observability and SLOs.

chaos engineering, game days, incident response, pagerduty, incident commander, postmortem, post-incident review, slos

Learn spec-driven development with Kiro: requirements, design, tasks, agent steering, MCP, custom agents, and brownfield full-stack app workflows.

spec-driven development, kiro, aws kiro, agentic development environment, structured ai coding, full-stack application development, spring boot, java 25

A deep dive into Java Streams internals: pipeline evaluation, spliterators, optimizations, boxing, memory use, parallel streams, and gatherers.

java streams internals, java stream pipeline execution, spliterator, stream lazy evaluation, parallel streams performance, java 23 gatherers, stream optimization, boxing and unboxing in streams

A practical talk on test-driven development (TDD), red-green-refactor, and how tests improve code quality, design, and maintainability.

test-driven development, tdd, red green refactor, unit testing, java testing, junit, hamcrest, test assertions

Learn Spring Boot observability with Actuator, Micrometer, and OpenTelemetry: health endpoints, metrics, tracing, security, and best practices.

spring boot observability, spring boot actuator, micrometer metrics, opentelemetry tracing, spring boot health endpoint, kubernetes liveness probe, kubernetes readiness probe, spring boot loggers endpoint

A Java deep Q-learning walkthrough for Azul: game-state encoding, legal actions, replay buffer, epsilon-greedy policy, and training loop.

deep q-learning, dqn, q-learning, java neural network, azul board game ai, replay buffer, epsilon-greedy policy, reward function

Practical guidance for indexing, searching, quantizing, and scaling billion-scale embeddings in Elasticsearch and OpenSearch.

elasticsearch vector search, opensearch vector search, billion-scale embeddings, semantic search at scale, approximate nearest neighbor, ann search, hnsw, ivf indexing

How to answer KPI requests in agile and DevOps teams using observable actions, DORA metrics, feedback forms, and bottom-up evidence.

kpi in agile teams, software delivery performance, dora metrics, lead time for change, deployment frequency, code coverage metric, observability in devops, top-down vs bottom-up metrics

How platform engineering, Backstage, GitOps, and trusted supply chains reduce cognitive load and enable sovereign AI self-service portals.

platform engineering, internal developer portal, backstage, gitops, argo cd, kubernetes, openshift, developer portal

Overview of TornadoVM for Java GPU acceleration: programming model, IntelliJ tooling, installation, backends, and production use in Gaia.

tornadovm, java gpu acceleration, gpu programming in java, jdk plugin, opencl backend, nvidia cuda backend, spir-v backend, metal backend

How static analysis and compiler techniques power React, Svelte, codemods, AST tools, and UI performance work for front-end developers.

compilers for front-end developers, static analysis in javascript, ast transforms, codemods, jscodeshift, ast explorer, ast-grep, babel parser and traverser