Capabilities
Cloud & platform engineering for enterprises that cannot afford fragile foundations
We design and operate cloud-native platforms where governance accelerates teams instead of blocking them—multi-account foundations, paved-road developer experiences, and reliability programs measured in customer journeys, not vanity uptime charts.
Multi-cloud
patterns where strategy requires optionality
GitOps
default promotion model for platform changes
SRE
embedded with product and security stakeholders
FinOps
guardrails engineers act on weekly
Landing zones that survive audits and reorganizations
A landing zone is not a Terraform repo you run once—it is the contract between finance, security, and engineering about how accounts, networks, and identities behave as the estate grows. We implement organization policies, centralized logging, and network patterns that scale to hundreds of workloads without bespoke exceptions.
Control Tower, Azure Policy, organization-level guardrails, and policy-as-code in CI mean drift is detected before it becomes an incident—or an audit finding.
Kubernetes and container platforms at real enterprise scale
Clusters multiply quickly without a platform team that owns upgrades, add-ons, and tenant isolation. We define cluster lifecycle, progressive delivery, and multi-tenant boundaries with explicit SLOs for the control plane and data plane.
Service mesh adoption is staged: start with workload identity and observability, expand to mTLS where blast radius justifies complexity, and keep escape hatches for legacy protocols that cannot move overnight.
Hybrid connectivity and edge patterns
ExpressRoute, Direct Connect, Cloud Interconnect, and VPN fallbacks are designed with failure modes your network team can rehearse. DNS strategy, private endpoints, and egress control are documented as architecture decisions—not tribal knowledge in a wiki.
Retail, manufacturing, and regulated workloads often need edge compute. We align edge clusters to the same GitOps and security baselines as core regions so operations teams do not maintain two mental models.
Platform engineering as an economic engine
Golden paths reduce bespoke infrastructure and make FinOps actionable: engineers choose templates that already include tagging, autoscaling tied to SLOs, and cost ceilings appropriate to the service tier.
Developer portals expose service ownership, API catalogs, and self-service within policy—so platform teams stop being ticket routers and become product owners for internal customers.
Reliability engineering tied to revenue and risk
Error budgets connect reliability investment to product priorities. Chaos experiments and failover drills produce evidence for boards and regulators—not checkbox theater.
Incident retrospectives feed a prioritized backlog shared with security and finance when outages have compliance or monetary impact.
Migration and modernization without big-bang cutovers
Mainframe surrounds, VMware estates, and packaged applications move through strangler patterns with explicit data contract governance. Cutover windows are rehearsed with rollback criteria your executives can understand in one page.
We sequence work so early milestones deliver measurable value—often security or cost—while larger refactorings continue in parallel.
Capacity and economics
Commit modeling, rightsizing, and autoscaling policies tied to measured demand—not spreadsheet guesses.
Identity and access
Workload identity, just-in-time admin, and break-glass patterns that auditors can trace end-to-end.
Backup and disaster recovery
RPO/RTO targets aligned to business capabilities; tested restores with documented runbooks.
Sustainability reporting
Where required, carbon signals and workload placement guidance integrated into architectural decisions.