Security posture
Least privilege, segmentation and encryption considered in the platform design.
Cloud practice / Beijing
Cloud architecture should make identity, sensitive data, audit evidence and service recovery explicit across every managed and self-operated boundary. In Beijing, this connects directly to secure interfaces across research, enterprise and institutional data.
What this practice covers
Cloud work connects architecture, access, workload operation and the decisions that keep a platform useful over time.
Organizations operating in China often work at significant digital scale across fast product cycles, complex supply chains and distinct data and platform requirements.
Beijing's research, software, AI and institutional ecosystems produce complex systems with broad reach. Evaluation, data lineage and clear production ownership help translate technical depth into dependable services.
Research, AI, software, telecommunications, public services and healthcare generate demanding requirements for scale and governed data.
Cloud architecture should make identity, sensitive data, audit evidence and service recovery explicit across every managed and self-operated boundary.
What that gives your team
Accounts, networks, identity and baseline controls that teams can reason about.
A staged path from current workloads to a better-fit architecture.
Guardrails and ownership patterns that let teams move without losing visibility.
Recovery objectives, failure boundaries and scaling choices matched to the system.
Least privilege, segmentation and encryption considered in the platform design.
Patching, backups, cost awareness and maintenance practices that keep the foundation healthy.
How it works
Cloud decisions become safer when the current estate, desired outcome and operating model are considered together.
Understand workloads, dependencies, access paths and current operational constraints.
Compare target patterns and choose a staged architecture that fits the team.
Implement foundations or migrations with observable checkpoints and rollback thinking.
Engagement models
Engagements can isolate a platform or delivery problem, define its interfaces clearly and coordinate implementation with China-based and international stakeholders. For Cloud, the initial scope should stay anchored to secure interfaces across research, enterprise and institutional data.
Opinions, reviews, and focused direction.
ExploreOngoing capacity in your engineering team.
ExploreIncidents, rotations, and production response.
ExploreRoadmaps with clear delivery ownership.
ExplorePlan and deliver a defined technical outcome.
ExploreOngoing engineering care and improvement.
ExploreQuestions answered
A short set of practical questions to clarify the first conversation.
Cloud architecture should make identity, sensitive data, audit evidence and service recovery explicit across every managed and self-operated boundary. Scope should begin with the systems, owners and evidence connected to secure interfaces across research, enterprise and institutional data.
The existing XIVTech service content covers AWS, Azure and Google Cloud; the right path depends on workload requirements and current constraints.
Not by default. The work begins with the current estate and only proposes a rebuild when the present design is the actual blocker.
Security is part of cloud architecture, with a separate Cloud Security service for deeper controls and remediation work.
No. The category page is global and uses the existing market-prefix policy for routing and SEO eligibility.
Next step
Start with secure interfaces across research, enterprise and institutional data and the technical or organizational boundary that makes it difficult today.