ZTABS delivers cloud services for Seattle businesses. We are remote-first by design, with an office in Houston, Texas. Our cloud services page covers our broader approach, and our cloud migration cost guide provides published planning benchmarks.
Seattle is the birthplace of AWS and home to Azure's Redmond headquarters, creating a cloud ecosystem with a significant concentration of cloud engineering talent. Many Seattle companies have substantial cloud maturity: the conversation is often not whether to use cloud but how to use it most effectively. AWS and Azure together represent a large share of global cloud infrastructure, and both are headquartered in the Seattle metro area. Gaming studios across the Pacific Northwest require cloud infrastructure with demanding performance characteristics: ultra-low latency, massive concurrency, extreme traffic spikes and global reach.
Seattle cloud services at a glance
| Domain | Cloud focus | Industry context |
|---|
| AWS architecture | Cloud-native applications, managed services, cost optimisation | Significant talent pool, broad service catalogue |
| Azure and multi-cloud | Hybrid environments, Microsoft integration, workload placement | Enterprise identity, M365 integration |
| Gaming | Multiplayer infrastructure, matchmaking, content delivery | Low-latency, high-concurrency, global deployment |
| Enterprise SaaS | Platform scaling, observability, FinOps | Cloud-native companies, unit economics |
AWS architecture and optimisation
Seattle companies building on AWS benefit from the platform's breadth but frequently under-utilise managed services. Cloud-native architecture uses managed services (Lambda, ECS/Fargate, RDS Aurora, DynamoDB, SQS/SNS, EventBridge) to reduce operational overhead while maximising scalability. Infrastructure as code (Terraform, CloudFormation, CDK) defines all infrastructure as version-controlled, auditable code. Cloud cost optimisation for companies spending significant amounts on AWS involves reserved instances, savings plans, spot instances for interruptible workloads, right-sizing based on actual utilisation, and eliminating unused resources. The actual savings depend on the current spending baseline, workload composition and commitment to ongoing cost discipline.
Security architecture addresses the compliance requirements of Seattle's regulated industries. HIPAA applies to covered entities and business associates handling ePHI; cloud security for these workloads uses BAA-covered services, risk-based safeguards (encryption specifications under the Security Rule are addressable: the entity assesses and documents implementation or a reasonable appropriate alternative), access controls and audit logging. SOC 2 for enterprise SaaS requires scoped independent CPA attestation. ITAR for aerospace requires data classification assessment per USML/CCL categories; data residency and access controls depend on the actual classification, authorisation and applicable exemptions rather than a blanket all-controlled-data-must-be-US mandate. PCI DSS for payment processing requires isolation of the cardholder data environment (CDE) plus connected and security-impacting systems, with actual assessment routes depending on transaction volume and acquirer requirements. Each compliance framework adds specific architectural requirements that should be designed into the infrastructure from deployment.
Azure and multi-cloud strategy
Azure architecture is common in Microsoft-centric enterprises where Active Directory integration, Microsoft 365 integration and Azure DevOps provide value. Multi-cloud strategy running workloads across AWS and Azure involves determining which workloads belong on which platform based on service capabilities, cost, existing team skills and vendor risk management requirements. Multi-cloud adds operational complexity: two sets of monitoring, security controls, deployment pipelines and skill requirements. This complexity should be justified by specific business requirements rather than adopted by default. When multi-cloud is justified, a consistent operations layer (Kubernetes, Terraform, centralised monitoring) reduces the operational burden.
Hybrid cloud architecture connects cloud services with on-premises infrastructure for organisations with data residency requirements, legacy systems that cannot be migrated, or latency requirements for edge computing and manufacturing applications.
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Gaming cloud infrastructure
Seattle's gaming industry requires cloud infrastructure with distinctive characteristics. Multiplayer game servers use containerised or dedicated servers with auto-scaling, maintaining ready pools to avoid cold-start delays during matchmaking. Auto-scaling adjusts capacity based on real-time demand: peak hours require significantly more capacity than off-peak, and game launches or seasonal events create extreme traffic spikes. Spot instances for baseline capacity beyond reserved commitments can reduce compute costs for workloads that tolerate interruption.
Matchmaking services maintain real-time player queues with skill ratings, optimising for skill balance, latency (routing players to appropriate regional servers), party support and queue time. Player data platforms use low-latency databases for profile data, caching layers for frequently accessed data, and analytics pipelines processing game telemetry. Content delivery uses CDN infrastructure to distribute patches and updates to players worldwide, with edge caching to handle launch-day download volumes.
The cost of gaming cloud infrastructure depends on concurrent player targets, server tick rate, data platform complexity, CDN requirements and the proportion of reserved versus on-demand versus spot capacity. Cost per monthly active player varies based on session length, server requirements and data platform patterns.
SaaS platform scaling
Seattle's SaaS companies need cloud architecture that scales efficiently from early customers to enterprise accounts. Scaling patterns address horizontal scaling (stateless services, load balancing, auto-scaling), database scaling (read replicas, connection pooling, caching, eventual sharding), multi-tenancy (shared or dedicated infrastructure per tenant tier) and observability (distributed tracing, metrics, structured logging, alerting). Infrastructure as code supports reproducible, version-controlled environments for managed resources. Cloud cost management for SaaS companies tracks unit economics: cost per customer, cost per transaction and infrastructure cost as a percentage of revenue.
Enterprise cloud migration
Seattle enterprises migrating from on-premises infrastructure to cloud need strategy, architecture and execution that accounts for application dependencies, compliance requirements and organisational change. Application portfolio assessment evaluates each workload for cloud readiness: rehost (lift-and-shift), re-platform (migrate to managed services), refactor (redesign for cloud-native) or retain (keep on-premises due to latency, licensing or compliance constraints). Migration proceeds in phases, starting with lower-risk workloads and building confidence before addressing critical systems.
Cloud cost management at enterprise scale requires FinOps discipline from the start. Right-sizing based on actual utilisation, reserved capacity for predictable workloads, spot instances for interruptible batch processing and governance workflows provide visibility and controls to manage the cost overruns that many cloud migrations experience. Actual cost outcomes depend on ongoing budget discipline, utilisation monitoring, pricing changes and operating decisions. Without active cost management, cloud can exceed on-premises costs. Cloud migration does not automatically reduce costs.
How delivery works
ZTABS is remote-first by design, with an office in Houston, Texas. Working hours, assigned personnel, on-site availability and overlap arrangements are agreed per engagement.
Cloud strategy (illustrative 3 to 6 weeks): workload assessment, architecture review, cost analysis and migration planning. Implementation (illustrative 8 to 24 weeks depending on scope): landing zone deployment, network architecture, workload migration, security implementation and monitoring. Operations (ongoing): monitoring, cost optimisation, security management and performance tuning. Phases, durations and deliverables are agreed per engagement.
Illustrative Example
Hypothetical: Multi-Cloud Platform for a Seattle Enterprise
A Seattle enterprise running workloads across both AWS and Azure without a structured multi-cloud strategy would benefit from cloud architecture rationalisation. Workload placement decisions would be documented based on clear criteria: service capabilities, latency requirements, team skills and cost. A consistent operations layer using Kubernetes and Terraform would reduce the operational complexity of managing two providers. FinOps practices would provide visibility into spending across both platforms with tagging, right-sizing and reservation optimisation.
Planning assumptions: enterprise with significant cloud spending across two providers, multiple engineering teams, growing cost concerns. Estimated scope: Cloud-Native Refactoring tier ($120K to $200K, 18 to 32 weeks) based on published benchmarks. Actual scope, cost and outcomes would depend on the workload portfolio, team structure, compliance requirements and current cloud maturity.
This is a hypothetical scenario for illustration. Actual scope, timeline and cost depend on your requirements.
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Cost and timeline benchmarks
Our cloud migration cost guide provides published planning benchmarks:
| Tier | Investment range | Timeline | Scope |
|---|
| Basic / Lift-and-Shift | $10K to $40K | 4 to 8 weeks | Move existing workloads to cloud VMs with basic networking and security |
| Re-Platforming | $40K to $120K | 8 to 18 weeks | Migrate to managed services, containerisation, CI/CD and monitoring |
| Cloud-Native Refactoring | $120K to $200K | 18 to 32 weeks | Microservices, serverless, event-driven architecture, auto-scaling |
| Enterprise Migration | $200K to $300K+ | 6 to 12 months | Multi-cloud, compliance, DR, large-scale migration |
These are published planning benchmarks in USD. Ongoing cloud operating costs (compute, storage, networking, GPU hours, CDN egress, licensing, support) are separate from migration investment. Actual engagement scope and cost are agreed per project.
Questions to ask any Seattle cloud partner
Before selecting a cloud partner, verify their depth. Ask about AWS: do they understand managed service architecture and cost optimisation at scale? Ask about gaming: have they designed multiplayer infrastructure with auto-scaling, matchmaking and global deployment? Ask about multi-cloud: can they articulate when multi-cloud is justified and when it adds unnecessary complexity? Ask about cost: do they implement ongoing FinOps or just one-time optimisation? Ask about compliance: do they understand the actual assessment routes and scope boundaries for HIPAA, SOC 2, PCI and ITAR?
Choosing a cloud services partner for Seattle
| Provider type | Strength | Tradeoff |
|---|
| ZTABS (remote-first, Houston office) | Cloud architecture with AWS/Azure, gaming and enterprise scaling awareness | Remote-first by design |
| Hyperscaler consulting arms | Deep platform knowledge | Evaluate multi-cloud holistic capability per engagement |
| Gaming infrastructure specialists | Industry workflows | Evaluate platform lock-in and portability per firm |
| Managed service providers | Operational management | Evaluate architecture depth per firm |
| Global consulting firms | Enterprise scale and breadth | Evaluate cost structure per engagement |
When ZTABS is not the right fit
- You need a fully managed 24/7 cloud operations centre with guaranteed response SLAs. Managed cloud operations can be separately scoped, but a standing operations centre is a different service model.
- You need HIPAA legal counsel, SOC 2 attestation, ITAR compliance certification, PCI QSA assessment or SEC regulatory advice. We implement cloud infrastructure supporting compliance evidence; legal, regulatory and attestation matters should be handled by qualified specialists.
Adjacent services scoped separately
Marketing, branding, creative, AI model training, data analytics and BI capabilities are available through separate engagements alongside or independent of cloud services work. See our digital marketing services and AI development services. ZTABS also builds custom white-label AI products that clients can brand and resell.
Risks that affect Seattle cloud engagements
| Risk | How we address it |
|---|
| Multi-cloud operational complexity | Workload placement rationale, consistent operations layer, documented criteria |
| Gaming launch-day scaling failure | Auto-scaling with pre-warmed capacity, load testing, Spot fallback to on-demand |
| Cloud cost overrun | FinOps: tagging, right-sizing, reserved capacity, spot strategy, governance |
| Compliance gaps | Requirements mapped to infrastructure controls from deployment |
Disaster recovery for Seattle businesses
Seattle businesses should consider geographic diversity for disaster recovery. Multi-region cloud DR places secondary infrastructure outside the Pacific Northwest for geographic separation. DR design specifies recovery time and recovery point objectives aligned with business tolerance. For gaming companies, DR planning must account for global player distribution with regional failover. Testing DR procedures regularly is essential since untested plans carry significant failure risk under real conditions. Testing identifies dependency gaps, recovery-time deviations and failure modes that documentation alone cannot predict.
Infrastructure as code and operational automation
Infrastructure as code (IaC) using Terraform, CDK, Pulumi or CloudFormation manages cloud resources as version-controlled, auditable code. For Seattle gaming companies, IaC templates provision game server infrastructure on demand: complete container clusters, networking, matchmaking services and monitoring deployed consistently. For SaaS companies, IaC supports multi-environment deployment with environment parity. IaC manages declared resources and supports drift detection, but cannot prevent all out-of-band changes. Governance processes and approval workflows complement IaC for production infrastructure changes.
Data residency and full-stack assessment
Seattle companies handling sensitive data should assess data residency beyond cloud region selection. Full-stack assessment covers the complete stack: application data, database backups, log aggregation, monitoring telemetry, infrastructure-as-code state files, SDK and library telemetry, remote support access, subprocessor data flows, cross-border transfers and contractual terms. Aerospace companies handling ITAR-controlled data should assess data residency across the entire processing stack based on the actual USML/CCL classification, authorisation and applicable exemptions. SOC 2 reports should address data handling practices within the attestation scope.
Distinguishing cloud infrastructure from regulatory compliance
Cloud infrastructure implements encryption, access controls, audit logging and monitoring as technical controls. These support the organisation's compliance programme but are not themselves HIPAA compliance, SOC 2 attestation, PCI DSS compliance or ITAR compliance. SOC 2 requires independent CPA attestation for the actual scope and review period. PCI DSS assessment routes depend on transaction volume and acquirer requirements. Cloud infrastructure provides the technical foundation that compliance programmes require, but compliance and attestation outcomes are determined by the organisation's programme and qualified assessors.
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