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World Congress 2026 Europe • Jul 9, 2026 • Session details

From Static Rules to Reasoning Platforms: Scaling Intelligent Canary Delivery in 2026

Daniel Oh

A silent memory leak hits your canary release. Instead of paging you, an AI-driven digital SRE halts the rollout, reverts the state, and autonomously opens a targeted fix PR.

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#1 about 5 min

The challenge of cognitive load in modern Kubernetes environments

Scaling microservices and managing AI deployments introduce cognitive load that static rules cannot efficiently handle.

#2 about 3 min

Transitioning to agentic reasoning platforms for continuous delivery

Adopting agentic AI to replace static CI/CD playbooks enables digital site reliability engineers to autonomously test and analyze deployments.

#3 about 3 min

Designing a layered architecture for an agentic delivery platform

Integrating a data plane for telemetry, a reasoning plane with LLMs, and a control plane utilizing tools like Argo CD forms an efficient autonomous system.

#4 about 2 min

Maintaining human oversight in automated agent deployments

Ensuring critical decisions remain under human control prevents unpredictable AI behavior from negatively impacting production systems.

#5 about 5 min

Architectural setup for the agentic AI live deployment demo

Integrating Argo Rollouts with a Java-based Kubernetes AI agent allows real-time analysis of deployment telemetry and metrics.

#6 about 5 min

Automating rollbacks and pull requests for buggy deployments

Creating a deliberate null pointer exception triggers the reasoning AI to halt deployment, perform a rollback, and generate a pull request with relevant logs.

#7 about 4 min

Autonomously diagnosing delayed memory and performance issues

Leveraging autonomous agents detects transient constraints like memory degradation that developers cannot easily replicate locally.

#8 about 2 min

Implementing the Java agent using Quarkus and LangChain4j

Structuring Java components with annotations builds dedicated modules for analysis, metric diagnosis, and remediation scoring.

#9 about 4 min

Establishing guardrails and cost controls for multi-agent systems

Deploying multiple efficient smaller models alongside resource quotas and data protection guardrails balances infrastructure stability against API costs.

Matching moments

2:46 min

Automating canary deployments with Argo Rollouts

Sonja Nesic Sonja Nesic · WWC Europe 2026

1:46 min

Balancing platform availability and security with AI feature releases

Laura Thorson Laura Thorson · WWC Europe 2026

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · WWC Europe 2026

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · WWC Europe 2026

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