Ahouab Aliouche
Walter Assets, Cloud Specialist
Lyon 03, France
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Ahouab Aliouche is a cloud architect and DevOps professional with over 8 years of experience. Certified in AWS and Kubernetes, Ahouab Aliouche focuses on building scalable and efficient cloud infrastructures, using tools like Terraform and Kubernetes to optimize performance and support digital transformation initiatives.
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Area of Expertise
The Comeback Trio: OpenStack, Kubernetes, and Kata Containers – Redefining Private Cloud for AI
As the demand for scalable, secure, and cost-effective cloud-native solutions grows, organizations are increasingly looking for ways to integrate OpenStack's powerful infrastructure capabilities with Kubernetes' container orchestration and Kata Containers' lightweight VM-level isolation. This talk will demonstrate how to combine these technologies to create a seamless, secure, and highly efficient ecosystem for running modern applications.
The Comeback Trio: OpenStack, Kubernetes, and Kata Container
With the tech landscape changing so fast these days, it seems likely that OpenStack, Kubernetes, and Kata Containers are as perfect a trifecta as any organization about to be bitten by the AI bug could ever want, should data sovereignty and cost efficiency be your primary focus. Here’s why they’re trailblazing:
Reclaiming the Platform: Building Autonomous Engineering Systems Beyond Tooling
Platform Engineering is where Cloud and SRE meet to restore order in an age of growing complexity. This talk redefines the platform not as a stack of tools, but as a living system—self-governing, observable, and built for resilience. Drawing from hands-on experience in cloud infrastructure and reliability design, it exposes the principles behind scalable, developer-centric platforms that balance autonomy with control. We’ll examine how automation becomes a reliability engine, how guardrails replace gates, and how stability can scale without slowing delivery. The session delivers a clear blueprint for transforming fragmented pipelines into cohesive ecosystems—where every deployment strengthens the platform instead of straining it.
Practical SRE Observability: From Signals to Action in Kubernetes Environments
Modern platforms produce more metrics, logs and traces than ever, yet many teams still struggle to turn observability data into reliable operational decisions. Dashboards multiply, alerts get noisy, and at some point everyone wonders whether the system is on fire or just “being chatty.”
This session presents a practical, open source approach to observability for Kubernetes, cloud-native and hybrid environments. Based on real-world SRE and DevOps experience, it shows how to move beyond basic monitoring by combining Prometheus, Grafana, Alertmanager, SLI/SLO definitions, burn-rate alerting, service dashboards and operational runbooks.
The focus is not only on tools, but on the discipline required to make observability useful: choosing the right signals, defining meaningful indicators, reducing alert fatigue, designing dashboards for both operators and business stakeholders, and connecting observability to incident response.
Attendees will leave with a reusable blueprint for implementing production-grade observability using open source components, fewer false alarms, and hopefully fewer 3 a.m. mysteries.
From Prompt to kubectl: Building Safe AI Agents for Kubernetes Operations
As AI agents evolve from answering questions to executing actions, Kubernetes becomes a powerful—but risky—automation target.
This session demonstrates how to build a safe AI-powered Kubernetes operator using kubectl-ai. We follow the complete workflow from a natural language request to Kubernetes API calls, evidence collection, diagnosis, and controlled execution.
You'll discover the engineering patterns required for production: least-privilege RBAC, read-only access, approval before changes, command validation, audit logs, and grounding responses with real cluster data to reduce hallucinations.
A live demo will show an AI agent investigating a failing workload using pods, events, logs, and resource configuration.
Rather than replacing operators, AI becomes a secure Kubernetes copilot while humans retain control of critical actions.
Ahouab Aliouche
Walter Assets, Cloud Specialist
Lyon 03, France
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