The platform is what makes AI systems trustworthy in production

It's your platform which makes AI systems reliable, not the AI model! Delivery pipelines, observability, MLOps, infrastructure discipline – these are the conditions under which AI systems either hold or fail. That includes the cost dimension: inference costs, resource utilization, and AI infrastructure economics are operational decisions that belong in the platform, not in procurement. This track is about applying that expertise to the realities of AI workloads in production.

DevOps, CI/CD & Platform Engineering

Learn from Industry Leaders about:

  • Platform Engineering & Internal Developer Platforms: Building the capabilities that let teams deliver and operate software effectively
  • DevOps Automation & Continuous Delivery: Designing reliable delivery pipelines for fast-moving, complex systems
  • Observability, Monitoring & Transparency: Metrics, logs, and tracing for distributed and AI-augmented systems
  • Operating AI-Enabled Systems in Production: Managing unpredictable workloads, latency characteristics, and inference cost
  • Cloud Platforms, Kubernetes & Infrastructure: Managing modern infrastructure and cloud-native environments
  • Security & Production Readiness: Integrating security into operational platforms before the system reaches production

Track Speakers 2025

Track Program 2025

Track Sessions on Jax London

Track Sessions on Jax London

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Frequently Asked Questions

What is the focus of the "DevOps & Continuous Delivery" track at JAX London 2025?

This track enables attendees to master continuous delivery by learning DevOps transformation, CI/CD pipelines, Infrastructure as Code (IaC), GitOps, AIOps, and DevSecOps—with the goal of building high-performance, secure, and agile delivery pipelines.

What topics are covered under CI/CD Pipelines in this track?

The curriculum dives into automation, advanced testing practices (like Test‑Driven Development, TDD), and effective deployment strategies to accelerate software delivery.

How does the track address Infrastructure as Code (IaC)?

Attendees explore principles and practical tools for using code to provision and manage infrastructure—enabling automated provisioning and consistent configuration management.

What DevOps automation strategies such as GitOps and AIOps are included?

The track includes GitOps practices—using Git as the single source of truth for deploying systems—and AIOps, which applies AI and machine learning to enhance observability, automate incident response, and optimize performance in DevOps workflows.

How is DevSecOps integrated into CI/CD workflows in this track?

Participants learn to embed automated security checks into CI/CD pipelines, including vulnerability scanning, compliance enforcement, and secure code analysis to support robust and secure delivery processes.

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