How Cloudflare Is Working to Prevent Future Large-Scale Outages

Modern scalable networks have proven vulnerable to cascading failures, where an error in a single file instantly propagates to all traffic processing nodes.

Cloudflare’s global infrastructure failures that occurred on November 18 and December 5, 2025, shared a common cause: the lack of gradual service degradation mechanisms. The high speed of configuration change releases without proper safeguards directly threatens companies’ operational activities. Analysis of these incidents pushed developers to a deep engineering overhaul and the creation of new tools for system state control (health-mediated deployments) during any network interventions.

Configuring management requires intermediary validation stages to ensure potentially hazardous updates do not reach the production environment. For this, the Cloudflare team created the internal system Snapstone, which packages changes into isolated units and allows gradual deployment with real-time health monitoring. Previously, such an approach required significant efforts from each team, but it has now become the default standard. If a new configuration is found to be defective, the system automatically stops the process and reverts to the last stable version, protecting client traffic from disruptions.

An important component of the Fail Small concept is the network’s ability to withstand partial failures without completely halting services. Development teams have reviewed possible failure vectors and removed non-critical runtime dependencies. From now on, in the event of an error, the system defaults to using the last known working configuration (“fail stale” scenario), and if that’s not possible, it applies “fail open” or “fail close” principles to continue routing traffic with reduced functionality.

For example, the machine learning classifier for detecting bots now operates in isolated segments, so in the event of a failure, its impact is limited to a tiny fraction of test traffic until the erroneous code is automatically rolled back.

Cloudflare’s architecture faces a paradox of cyclical dependency: when Zero Trust security tools protect Cloudflare’s own internal network, its failure blocks the very paths needed to resolve the incident. To address this issue, Cloudflare engineers developed backup authorization paths for 18 key services and created emergency proxy access scripts.

During large-scale exercises on April 7, 2026, over 200 company specialists tested these procedures in practice, building the necessary skills to work under pressure. This significantly sped up the incident response cycle even under conditions of complete visibility loss of the basic infrastructure.

To prevent the recurrence of past mistakes, Cloudflare implemented an internal Engineering Codex, whose execution is controlled by artificial intelligence at all stages of the development lifecycle.

AI agents automatically analyze code and block merge requests if they violate established rules — for example, using the .unwrap() function in Rust without exception handling or referencing non-existent objects in Lua. This reduces the impact radius from millions of users to one developer, who receives a rejected request and comprehensive recommendations for correcting their own code.

Reliability encompasses not only the technology stack but also the processes of interaction with customers and stakeholders. Within the Code Orange initiative, the company introduced strict service level obligations (SLO) for all services and created a dedicated communications team. In the event of critical situations, customers receive forecasted notifications every 30-60 minutes, allowing managers to plan their operational activities based on facts.

Summarizing the results of the Cloudflare Code Orange initiative, several key aspects can be highlighted. Architectural reliability is created through fault localization, automated validation systems, and traffic segmentation effectively mitigate the risks of incorrect configurations. Additionally, the presence of tested emergency procedures and transparent communication builds strong trust in modern cloud infrastructures.