Provisioning is just the beginningIn the lifecycle of cloud infrastructure, provisioning is often seen as the finish line. Once the environment is defined and deployed, the job feels done. The code has been reviewed, the resources are running, services are responding. From that point on, it seems like it’s just a matter of keeping things going.But in reality, that’s when the most critical part begins. That’s where the real cost of infrastructure starts to surface (the part you don’t see immediately), but that gradually becomes heavier with time. Environments that were supposed to be identical begin to behave differently. Security patches are applied in some places, missed in others. Configuration drifts start to appear. Coherence slowly fades, and with it, confidence in the system.If you've worked in production, you know this too well. Many incidents don’t happen during provisioning, but weeks or months later when something that was working just fine suddenly fails. The root cause isn’t always in the code. Often, it lies in what changed over time, unnoticed and unmanaged.
Infrastructure as Code has brought enormous value. But most tools, while powerful, are designed with a static mindset. They rely on a state file that represents the intended configuration but don’t actively verify whether that configuration still matches what’s actually running in the cloud.A single manual change, a hotfix outside of the pipeline, or an inconsistency copied between environments can throw everything off. And the system won’t raise a flag. There’s no built-in reconciliation. No ongoing validation. The infrastructure quietly drifts away from what was originally planned.Even updating a component becomes risky. Teams delay patches. Reprovisioning feels too disruptive. Over time, maintenance is avoided; not by design, but by fear. The speed promised by automation is lost in the operational mess of day-two reality.Keeping environments healthy, secure, and consistent requires more than good provisioning. It demands visibility, control, and a model where maintenance is part of the platform’s DNA.
Fractal Cloud was designed with this exact challenge in mind. It doesn’t just create environments, it governs them continuously. Every environment instantiated in Fractal becomes a live system: observable, traceable, and actively managed.At the core of this approach is the Fractal Automation Engine. It doesn’t simply execute deployments, it watches over them. It continuously compares the actual infrastructure against its intended blueprint. If something drifts, the system knows. And it can reconcile it, automatically, without interrupting workloads. Updates are applied safely, within predefined operational windows, with no need to tear anything down.This changes everything. Maintenance is no longer a manual burden that teams have to plan around. It becomes a built-in feature of the platform. Security policies, patches, compliance rules, all are embedded at the design level. Every environment stays aligned, consistent, and compliant without additional effort.For engineering teams, that means fewer surprises, fewer late-night tickets, fewer firefights. Time once spent holding environments together can now be spent moving the product forward. It’s not just about reducing errors. It’s about freeing your teams to build.Today, what separates resilient infrastructure from fragile setups isn’t how fast it was deployed. It’s how well it’s maintained over time. That’s where Fractal makes the difference.
January 8, 2026
2 min read
Michel Murabito
In the debate over IT modernization, a comfortable yet dangerous narrative has taken hold: the idea that cloud sovereignty is a spectrum, a scale of greys where "a little compliance" is still a step in the right direction.
Provisioning is just the beginningIn the lifecycle of cloud infrastructure, provisioning is often seen as the finish line. Once the environment is defined and deployed, the job feels done. The code has been reviewed, the resources are running, services are responding. From that point on, it seems like it’s just a matter of keeping things going.But in reality, that’s when the most critical part begins. That’s where the real cost of infrastructure starts to surface (the part you don’t see immediately), but that gradually becomes heavier with time. Environments that were supposed to be identical begin to behave differently. Security patches are applied in some places, missed in others. Configuration drifts start to appear. Coherence slowly fades, and with it, confidence in the system.If you've worked in production, you know this too well. Many incidents don’t happen during provisioning, but weeks or months later when something that was working just fine suddenly fails. The root cause isn’t always in the code. Often, it lies in what changed over time, unnoticed and unmanaged.
"Cloud-Agnostic" is one of the most seductive and misunderstood buzzwords in our industry. For years, we've been sold a utopia: the promise of building an application once and then freely moving it between AWS, Azure, and GCP with a single click, as if they were interchangeable utilities.In 2025, it's time to say it clearly: this idea no longer reflects the complexity of real-world cloud architectures.Chasing the "run anywhere" myth leads companies to build bland, lowest-common-denominator systems that fail to leverage the true power of any cloud. You end up paying the price of the cloud without enjoying its main benefits.But this doesn't mean the idea is worthless. It just means the real value isn't where we've been told to look. True "cloud-agnostic" isn't about implementation portability; it's about architecture standardization.