Cloud Platforms

Retrofitting landing zone governance requires an approach different from greenfield design. The first step is a full audit of every existing subscription, which identifies the current network topology, identity configuration, security posture, and policy state across the environment. From there, we design a target landing zone architecture that represents where the environment needs to be, and sequence the migration path from the current state to the target state in phases that preserve operational continuity. Some workloads migrate into new subscriptions under the new governance model. Others have governance layered on top of existing subscriptions where migration is not feasible. The sequence is prioritized by risk, with the highest exposure workloads addressed first. The key is that governance improvement is continuous rather than waiting for a full environment rebuild.

The pattern that works is a hub-and-spoke model with tiered governance, where shared services such as identity, network connectivity, logging, and security monitoring are centralized in a hub. Business unit workloads sit in spoke subscriptions, with governance baselines inherited from the hub and additional controls applied based on each business unit’s specific compliance requirements. This preserves central control over the things that benefit from standardization while allowing business unit-specific requirements to be addressed without creating a separate architecture for every group. We also design the policy framework with explicit exception management processes, because rigid policies that cannot be overridden for legitimate business reasons create shadow IT within weeks.

The right answer depends on where the majority of your traffic is going and where the majority of your workloads will live over the next three to five years. For organizations with a stable or growing on-premises footprint and significant east-west traffic between on-premises and cloud, the on-premises hub model remains valid. For organizations actively exiting the data center with most workloads already in the cloud, a cloud-native hub model using Azure Virtual WAN or AWS Transit Gateway typically reduces complexity and costs significantly. We model the network traffic patterns against your workload roadmap and make recommendations based on where the environment is heading, not where it is today. In many cases, the right answer is a phased transition from an on-premises hub to a cloud-native hub as the workload distribution shifts.

The honest answer is that most multi-cloud environments delivered more complexity than value, and that was accidental. Strategic multi-cloud is real and justified when each platform is being used for what it is genuinely best at, with the operational overhead of managing multiple platforms outweighed by the architectural benefit. Accidental multi-cloud rarely meets that test. We assess your current multi-cloud position by evaluating each workload to determine whether the platform it runs on is the right one for its specific requirements, or whether it ended up there for historical reasons that no longer apply. The output is typically a consolidation plan that reduces platform sprawl while preserving genuine strategic multi-cloud where it is justified.

Unified operations across hybrid environments require three things: consistent identity, consistent policy enforcement, and consistent observability. Identity means that every user, service, and workload authenticates against the same identity plane, regardless of where it runs, typically Azure AD or an equivalent identity provider integrated with both environments. Policy means the same governance rules apply to workloads regardless of location, enforced by tooling that operates across both environments, such as Azure Arc or AWS Outposts. Observability means monitoring, logging, and cost data flow into a single operational view, regardless of source. When those three layers are aligned, on premises, and cloud genuinely feel like one environment to operate. When they are not, the operational overhead of the split dominates every decision.

Workload portability is a legitimate goal only if there is a defined business driver, such as regulatory requirements that could force platform changes, vendor-negotiation leverage at renewal, or disaster recovery patterns that require cross-cloud failover. Portability for its own sake is one of the most common forms of over-engineering in multi-cloud environments, and the cost is high. The platform abstractions required to maintain portability introduce complexity, limit access to cloud native services, and create operational overhead that persists long after the original design decision is forgotten. We help you evaluate whether portability is genuinely required or whether it is aspirational, and when it is required, we design the abstraction layer deliberately so the tradeoff is managed rather than accidental.

Consistent policy enforcement in an inconsistent environment requires staged implementation rather than a blanket policy push. We audit the current state across every subscription, document where existing workloads depend on configurations that would be blocked by a stricter policy, and design a target policy framework that represents where the environment needs to be. The migration path implements the target policies in audit mode first, which logs violations without blocking them, giving teams visibility into what will break before it does. Remediation of existing violations occurs within a defined timeline, with engineering team accountability. Once remediation is complete, the policies move from audit to enforcement mode. This approach improves the security posture without triggering the wave of production incidents that blanket policy pushes typically cause.

Multi-framework compliance requires a unified control library rather than separate control sets per framework. We map the control requirements of every applicable framework into a consolidated control library that identifies where the same underlying control satisfies multiple requirements. That is typically the case because frameworks share significant overlap in encryption, access management, logging, and change management requirements. Framework-specific controls are implemented only where they represent genuinely unique requirements. Compliance reporting is then generated from the unified control library for each framework rather than maintaining separate compliance programs. This reduces the operational overhead significantly and produces a more consistent compliance posture across frameworks.

Security baselines require active maintenance, not a one-time definition. We establish a baseline review cadence, typically quarterly, that evaluates new service releases against the existing baseline and determines whether they should be included, restricted, or blocked. New services default to restricted status until a security review is completed, preventing engineering teams from using services that have not been evaluated. The review process is deliberately lightweight for most services to avoid becoming a bottleneck, but rigorous for services that handle sensitive data or introduce a new attack surface. The governance model also includes an exception process for teams that need access to a service before the full baseline review is complete, with compensating controls documented for the exception period. This keeps the baseline current without slowing down engineering velocity.