The State of IaC 2026: Bridging the Gap Between Code and Cloud Resilience

The recently released 2026 State of IaC report by Firefly.ai reveals a critical disparity in the Infrastructure as Code (IaC) landscape: while infrastructure immutability and rebuild confidence are overwhelmingly cited as the top benefits of IaC, a substantial portion of organizations remain ill-equipped to realize this potential. Specifically, over 30% of practitioners express low confidence in their ability to restore infrastructure within their defined Recovery Time Objectives (RTOs). This indicates that simply having IaC in place does not automatically translate to genuine disaster recovery (DR) readiness. The report also points out that drift, the divergence between deployed infrastructure and its codified state, continues to be a major driver of incidents, with one-third of respondents linking it to costly production outages. This matters significantly to practitioners because it highlights a fundamental challenge in modern cloud operations. The promise of IaC is not just about automating deployments, but about creating a reliable, repeatable, and resilient infrastructure that can withstand failures and be quickly restored from a known good state. When organizations cannot confidently rebuild from their IaC, they are exposed to prolonged downtime, data loss, and significant financial and reputational damage. The report's findings suggest that many teams are still treating IaC primarily as a provisioning tool rather than a comprehensive resilience strategy. The increasing adoption of AI in infrastructure automation, with 44% of organizations already in production or piloting AI for this purpose, further complicates the governance landscape, as only 34% trust AI agents with autonomous production changes due to a lack of guardrails. This trend fits within the broader evolution of cloud and DevOps, where the focus is shifting from initial automation to continuous assurance and resilience. Early IaC adoption centered on speed and consistency in provisioning. However, as cloud environments grow in complexity and criticality, the emphasis has moved towards operational maturity, including robust DR, drift detection, and policy enforcement. The rise of GitOps, for instance, is a direct response to the need for continuous reconciliation between code and live infrastructure, aiming to minimize drift and enhance auditability. Similarly, the increasing demand for dedicated control planes for IaC orchestration, as noted in the report, reflects the industry's need for centralized governance and visibility across diverse IaC tools and environments. In practice, this means that practitioners must move beyond merely writing IaC to actively validating their recovery processes. This involves regular, simulated disaster recovery drills to test the efficacy of their IaC and associated automation. Investing in tools that provide comprehensive visibility into IaC coverage, detect drift in real-time, and offer automated remediation capabilities is no longer a luxury but a necessity. Furthermore, as AI agents become more prevalent in IaC workflows, establishing clear governance frameworks, blast radius limits, and granular approval workflows will be crucial to prevent unintended consequences. The report suggests that teams without a dedicated control plane will face mounting risks as agentic workflows become the norm. Ultimately, the goal is to ensure that IaC serves as a true system of record for infrastructure, enabling not just rapid deployment but also confident and swift recovery when incidents inevitably occur.