DevOps Live 2026 Topics

To address the challenges of speed and complexity, companies are investing in platform engineering and developer platform models. These standardised environments enable teams to develop and deploy more quickly while incorporating automated safeguards.

The goal is to reduce reliance on infrastructure teams while ensuring consistent practices. Research on internal developer platforms, developer experience (DevEx), and CI/CD scalability illustrates this shift toward the industrialisation of DevOps.

The integration of AI into CI/CD pipelines opens up new possibilities for automation, but also raises critical challenges. When decisions are made automatically during deployment processes, the issues of traceability, explainability, and accountability become central.

Organisations today are exploring approaches involving AI in DevOps, automated deployment pipelines, and AIOps, while seeking to maintain human oversight over critical decisions. The challenge is to leverage automation without compromising governance.

With the proliferation of tools and metrics,observability has become a cornerstone of modern DevOps. However, the accumulation of data often generates more noise than value.

Teams are now seeking to link technical metrics to concrete business impacts, drawing on practices such as site reliability engineering (SRE), incident management, and real-time monitoring. The goal is no longer simply to detect incidents, but to understand their impact and improve the overall resilience of systems.

Securing the software supply chain has become a strategic priority. With open-source dependencies, vulnerabilities, and targeted attacks, companies must build security into the earliest stages of development.

DevSecOps approaches—including code security, CI/CD security, SBOM (Software Bill of Materials), and dependency management—are becoming industry standards. Security is no longer a final step, but an integral part of continuous delivery.