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Infrastructure Architecture

Designing scalable, secure, and cost-effective cloud infrastructure tailored to your workload, compliance requirements, and growth trajectory.

Infrastructure architecture is the foundation everything else builds upon. Get it right and your application scales seamlessly, costs remain predictable, security is embedded from the start, and disaster recovery is straightforward. Get it wrong and you face exponentially growing cloud bills, performance bottlenecks under load, security vulnerabilities, and painful migrations to fix architectural mistakes embedded in production.

According to Flexera's 2025 State of the Cloud Report, organizations waste 32% of cloud spend on average due to over-provisioning, poor architecture choices, and lack of optimization. Meanwhile, 67% of organizations experience public cloud security incidents, with 61% attributable to misconfiguration — architectural security decisions made (or not made) during initial design.

Most organizations approach infrastructure reactively: spin up a few EC2 instances or Azure VMs, add a database, maybe a load balancer, and "figure it out as we go." This works initially but creates architectural debt that becomes increasingly expensive to address as the system grows and matures.

Proper infrastructure architecture involves deliberate design decisions: compute approach (VMs, containers, serverless, or hybrid), network architecture (VPC design, subnets, routing, hybrid connectivity), data storage and databases (relational, NoSQL, caching, object storage), high availability and disaster recovery, security architecture (IAM, encryption, network security), and cost optimization strategies.

We design cloud infrastructure architectures that are purpose-built for your specific workload characteristics, performance requirements, compliance obligations, and budget constraints.

Why reactive infrastructure approaches fail

1. Over-provisioning creates runaway costs

The scenario: A SaaS startup launches on AWS by provisioning infrastructure based on "what might be needed" rather than actual workload analysis. They deploy 8x c5.2xlarge instances (16 vCPU, 32GB RAM each) running 24/7 because they anticipate growth. Actual utilization: average 8% CPU, 22% memory. They use On-Demand pricing because no one understood Reserved Instances or Savings Plans. No auto-scaling configured — instances run at idle overnight and weekends.

The cost: Monthly EC2 cost: £4,320 (8 instances × £540/month). With proper sizing (4x c5.large instances, Reserved Instance pricing, auto-scaling to 2 instances off-peak), cost would be £720/month. Wasted spend: £3,600 monthly, £43,200 annually. After 18 months of unchecked waste: £64,800 that could have funded additional development or marketing.

2. No high availability design causes extended outages

The scenario: An e-commerce platform runs entirely in a single AWS availability zone (eu-west-2a) to "keep things simple." Database (RDS), application servers (EC2), and file storage (EBS) all in the same AZ. When AWS experiences an AZ outage (which occurs 2-3 times annually in major regions), the entire platform becomes unavailable for 7 hours. They have no failover capability because everything is in the affected AZ.

The cost: 7-hour complete outage during weekday business hours. Lost revenue: £42,000 (£6,000/hour average). Emergency response trying to restore service: £2,800 (16 hours at emergency rates). SLA credit obligations to enterprise customers: £18,000. Reputational damage and customer complaints. Total incident cost: £62,800+. Multi-AZ architecture with automatic failover would have cost an additional £800/month but would have prevented this outage entirely.

3. Security misconfiguration creates breach risk

The scenario: A healthtech company deploys on Azure without formal security architecture. S3 buckets (patient records) are configured with default settings — public read accidentally enabled on one bucket during troubleshooting. Database security groups allow 0.0.0.0/0 (any IP address) because "we'll restrict it later." No encryption at rest configured. IAM policies overly permissive (developers have admin access). A security researcher discovers the exposed bucket containing 12,400 patient records and responsibly discloses the issue.

The cost: Although no malicious breach occurred, the exposure triggers mandatory ICO notification. ICO investigation results in £145,000 fine for inadequate security controls. Compliance audit and remediation: £38,000. Notification to 12,400 affected patients: £24,800. Reputational damage and customer reassurance efforts. Total cost: £207,800+. Proper security architecture review and implementation would have cost £18,000 but prevented this incident.

4. No disaster recovery capability causes data loss

The scenario: A financial services platform runs on self-managed EC2 instances with EBS storage. They run automated daily backups to S3 in the same region (eu-west-1). No documentation exists for disaster recovery procedures or backup testing. When a ransomware attack encrypts production databases and application servers, they attempt backup restoration and discover: backups are corrupted (silent failure for 6 weeks), IAM role for restoration expired, no documented restoration procedure, and no isolated environment to test restoration. They must recreate 6 weeks of data from transaction logs and external sources.

The cost: 8-day service outage while data is reconstructed. Lost revenue: £240,000 (£30,000/day). Forensic investigation: £45,000. Data reconstruction effort: £82,000 (640 hours of engineering time). FCA reporting and potential regulatory action. Customer compensation: £120,000. Total breach cost: £487,000+. Proper DR architecture with tested backup/restore procedures, cross-region replication, and documented runbooks would have cost £12,000 to design and £1,800/month ongoing but would have enabled 4-hour RTO instead of 8-day outage.

5. Lack of scalability planning causes performance collapse

The scenario: An online event ticketing platform experiences viral demand when a major concert announces ticket sales. Traffic spikes from 400 concurrent users to 18,000 in 10 minutes. Infrastructure is a traditional 3-tier architecture on fixed EC2 instances with no auto-scaling. Database connection pool exhausts (configured for 100 connections), web servers run out of memory, and load balancer overwhelms backend instances. Site becomes completely unavailable for 90 minutes during the peak demand window. By the time service is restored, frustrated customers have given up and tickets sell slowly over subsequent days.

The cost: Lost ticket sales: £380,000 (estimated 4,200 tickets at £90 average would have sold during viral window but customers abandoned site). Reputation damage: artist publicly criticizes ticketing platform on social media (2.4M followers). Contract penalty clause triggered: £45,000. Total cost: £425,000. Scalable architecture with auto-scaling, connection pooling, database read replicas, and CDN for static assets would have cost £25,000 to design and implement, with £2,400/month ongoing cost for enhanced capacity — fraction of the cost of this single incident.

Core infrastructure architecture services

1. Cloud architecture design and technology selection

We design the overall cloud architecture including compute approach (VMs, containers, Kubernetes, serverless), database and storage selection (RDS, Aurora, DynamoDB, S3, EFS), networking architecture (VPC, subnets, routing, NAT gateways), load balancing and content delivery (ALB, CloudFront), and hybrid/multi-cloud connectivity if needed.

Design considerations: Workload characteristics and access patterns, performance requirements (latency, throughput), scalability targets (current and projected), compliance requirements (data residency, encryption), budget constraints and cost targets, existing technology investments, and team skill levels.

Deliverables: Architecture diagrams (network, compute, data, security), technology selection rationale with ADRs, cost estimation and TCO analysis, scalability and performance modelling, migration approach (if from existing infrastructure), and infrastructure-as-code templates (Terraform/CloudFormation).

2. High availability and disaster recovery design

Architecting for resilience including multi-AZ deployment patterns, load balancing and health checks, database replication and failover, backup strategy and retention policies, cross-region disaster recovery, and RTO/RPO analysis and design.

HA/DR components: Multi-AZ deployment across availability zones, auto-scaling groups with health checks and auto-recovery, database replication (multi-AZ RDS, Aurora global database, read replicas), automated backup to S3 with cross-region replication, disaster recovery runbooks with tested procedures, and pilot light/warm standby/hot standby approaches based on RTO/RPO targets.

Typical targets: High availability: 99.9% uptime (multi-AZ), 99.99% (multi-region). RPO (data loss): 24 hours (daily backups), 1 hour (frequent snapshots), 5 minutes (continuous replication). RTO (recovery time): 4 hours (pilot light), 1 hour (warm standby), <5 minutes (hot standby/active-active).

3. Security architecture and compliance

Embedded security design including network segmentation and security groups, Identity and Access Management (IAM) policies, encryption at rest and in transit, secrets management, logging and audit trails, and compliance framework mapping (SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR).

Security layers: Network security: VPC design with public/private subnets, NACLs, security groups, AWS WAF, DDoS protection. Identity security: IAM policies following least privilege, MFA enforcement, role-based access control (RBAC), service accounts and key rotation. Data security: encryption at rest (KMS), encryption in transit (TLS 1.3), secrets management (AWS Secrets Manager, Azure Key Vault), data classification and retention. Monitoring security: CloudTrail, GuardDuty, Security Hub, Config, centralized logging with alerting.

Compliance mappings: We map infrastructure controls to compliance frameworks showing how architectural decisions address specific requirements (e.g., GDPR data residency, HIPAA encryption requirements, PCI-DSS network segmentation).

4. Cost optimization and resource sizing

Right-sizing infrastructure for actual workload requirements including instance type and size optimization, Reserved Instances and Savings Plans analysis, spot instance strategy for appropriate workloads, storage tiering and lifecycle policies, and automated cost anomaly detection.

Optimization strategies: Workload analysis and right-sizing recommendations, Reserved Instance/Savings Plans purchase strategy (1-year or 3-year commitment analysis), spot instance utilization for batch processing and non-critical workloads, storage optimization (S3 lifecycle policies, EBS volume types, archive to Glacier), auto-scaling policies to match capacity with demand, and unused resource identification and cleanup.

Typical savings: 20-35% through right-sizing and Reserved Instances, 40-70% for appropriate spot instance workloads, 30-50% through storage optimization and lifecycle policies, 15-25% through auto-scaling and scheduled scaling.

5. Performance and scalability architecture

Designing for performance and horizontal scalability including caching strategies (CDN, in-memory caching), database performance optimization (indexing, read replicas, sharding), asynchronous processing patterns (queues, event-driven), auto-scaling configuration, and load testing and capacity planning.

Performance components: Content Delivery Network (CloudFront, Azure CDN, Cloudflare) for static assets, in-memory caching (Redis, Memcached, ElastiCache) for frequently accessed data, database read replicas for read-heavy workloads, connection pooling and query optimization, asynchronous job processing (SQS, SNS, EventBridge, Azure Service Bus), and horizontal scaling with auto-scaling groups based on CPU, memory, or custom metrics.

Our infrastructure architecture approach

Phase 1: Requirements and workload analysis (Week 1-2)

We analyze your workload characteristics, performance requirements, compliance obligations, and constraints including current infrastructure review (if applicable), application architecture and data flow analysis, traffic patterns and scalability requirements, availability and disaster recovery targets (RTO/RPO), security and compliance requirements, and budget and cost constraints.

Deliverables: Workload analysis report, non-functional requirements document (performance, availability, security), constraints and assumptions documentation.

Phase 2: Architecture design (Week 2-4)

Based on requirements, we design the target infrastructure architecture including compute, storage, database, and networking design, high availability and disaster recovery approach, security architecture and IAM design, cost optimization strategy, monitoring and alerting design, and migration approach (if from existing infrastructure).

Deliverables: Architecture diagrams (network topology, compute architecture, data architecture, security architecture), architecture decision records (ADRs) documenting key choices, bill of materials with resource specifications, cost estimation (monthly TCO), scalability and performance analysis, security and compliance control mapping.

Phase 3: Infrastructure-as-Code implementation (Week 4-7)

We implement the designed architecture using infrastructure-as-code (Terraform, CloudFormation, or ARM templates) including IaC module development for all components, environment configuration (dev, staging, production), CI/CD pipeline for infrastructure deployment, validation and testing, and documentation and runbooks.

Deliverables: Infrastructure-as-Code repository (Terraform/CloudFormation/ARM), automated deployment pipeline, environment provisioning procedures, disaster recovery runbooks, cost monitoring and alerting configuration, handover documentation and training.

Phase 4: Migration and optimization (Week 7-10, if applicable)

If migrating from existing infrastructure, we plan and execute the migration including migration strategy (big bang vs phased), data migration procedures, application cutover plan, rollback procedures, post-migration validation, and performance tuning and optimization.

Migration deliverables: Migration runbook with step-by-step procedures, data migration scripts and validation, cutover plan with timing and communication, rollback plan and procedures, post-migration testing checklist, performance baseline and comparison.

Case studies: Infrastructure architecture transformations

Case study 1: Fintech platform AWS architecture optimization

Client: Payment processing platform, 2.4M transactions monthly, £180M annual transaction volume

Challenge: Running on AWS with architecture evolved organically over 3 years. Monthly AWS bill: £18,400. No formal architecture review ever conducted. Key issues: 12x m5.2xlarge instances running 24/7 at 12-18% average CPU utilization, RDS PostgreSQL instance oversized (db.r5.4xlarge) for actual workload, no Reserved Instances or Savings Plans despite consistent usage, S3 storage with no lifecycle policies (1.2TB of development data in Standard tier), NAT Gateway costs £840/month but serving mostly internal traffic that shouldn't route through NAT.

Solution: Conducted comprehensive architecture review and redesign including right-sizing compute: 12x m5.2xlarge → 6x m5.xlarge with auto-scaling (peak: 10 instances, off-peak: 3 instances), RDS optimization: db.r5.4xlarge → db.r5.xlarge with read replica for reporting queries, Reserved Instance purchase: 3-year commitment for baseline capacity (50% discount), S3 lifecycle policies: development data moved to Intelligent-Tiering and Glacier (£128/month savings), network optimization: fixed NAT Gateway routing, moved VPC endpoints for internal AWS service access, and CloudFront for API responses with high cache hit rate.

Results:

  • Monthly AWS bill: £18,400 → £7,200 (61% reduction)
  • Annual savings: £134,400
  • Performance improvement: API response time 240ms → 180ms (CloudFront caching)
  • Scalability: auto-scaling now handles 3x traffic spikes without manual intervention
  • Architecture review and implementation cost: £28,000

ROI: £28,000 investment, £134,400 annual savings. Payback period: 2.5 months. 5-year TCO improvement: £644,000.

Timeline: 3-week architecture review, 5-week implementation, 1-week validation and optimization

Case study 2: Healthcare platform high availability architecture

Client: Mental health services provider, 18,000 active users, clinical system with strict availability requirements

Challenge: Running on Azure with single-region, single-availability-zone architecture. Experienced 6 unplanned outages in 12 months (cumulative downtime: 14 hours). Availability: 99.83% (target: 99.95%). No disaster recovery capability — backups exist but restoration never tested. CQC compliance concerns regarding service continuity and data protection. Each outage impacted clinical services for average 240 concurrent users (clinicians and patients).

Solution: Designed comprehensive high availability and disaster recovery architecture including multi-region architecture: primary (UK South), secondary DR site (UK West), Azure SQL Database with active geo-replication (RPO: <5 seconds), application tier redesign: Azure App Service with zone redundancy, auto-scaling 2-8 instances, Traffic Manager for automatic failover between regions (RTO: <5 minutes), backup strategy: automated SQL backups with 35-day retention, VM disk snapshots daily, cross-region replication, disaster recovery testing: quarterly full DR test with documented procedures, and monitoring and alerting: Azure Monitor with proactive alerting on performance and availability metrics.

Results:

  • Uptime: 99.83% → 99.98% (10x reduction in unplanned downtime)
  • Unplanned outages: 6 in 12 months → 0 in following 12 months
  • Disaster recovery capability: none → validated <5 minute RTO, <5 second RPO
  • Compliance: CQC concerns addressed, full DR documentation in place
  • User impact: 14 hours annual downtime → 0.2 hours
  • Monthly Azure cost increase: £3,200 → £4,600 (44% increase for multi-region HA)

ROI: HA architecture cost £42,000 to design and implement, ongoing additional cost £1,400/month (£16,800 annually). Benefits: CQC compliance maintained (unmeasured but critical), avoided outage costs estimated £8,000 per hour (6 prevented outages × 2.3 hours average = £110,400 prevented impact), improved service reputation and trust. Net benefit year 1: £51,600 (prevented costs minus additional infrastructure spend).

Timeline: 4-week architecture design, 6-week implementation, 1-week DR testing and validation

Technology stack and cloud platforms

Cloud platforms

AWS (Advanced Consulting Partner, primary expertise), Microsoft Azure (Solutions Partner), Google Cloud Platform, Multi-cloud and hybrid architectures, On-premises integration (hybrid)

Compute services

AWS: EC2, ECS/Fargate, EKS (Kubernetes), Lambda, Lightsail, Elastic Beanstalk Azure: Virtual Machines, Container Instances, AKS (Kubernetes), Azure Functions, App Service GCP: Compute Engine, GKE (Kubernetes), Cloud Run, Cloud Functions, App Engine

Databases & storage

Relational: RDS (PostgreSQL, MySQL, MariaDB, SQL Server), Aurora, Azure SQL Database, Cloud SQL NoSQL: DynamoDB, DocumentDB, Cosmos DB, Firestore Caching: ElastiCache (Redis, Memcached), Azure Cache for Redis, Memorystore Object storage: S3, Azure Blob Storage, Google Cloud Storage File systems: EFS, FSx, Azure Files, Filestore

Networking

VPC design, subnets, routing tables, NAT Gateways, Transit Gateway, Direct Connect, VPN, Azure Virtual Network, ExpressRoute, Google Cloud VPN/Interconnect, Load Balancers (ALB, NLB, Azure Load Balancer, Cloud Load Balancing)

Security services

IAM policies and roles, KMS encryption, Secrets Manager, WAF, Shield (DDoS protection), GuardDuty, Security Hub, Azure Security Center, Key Vault, GCP Security Command Center

Monitoring & operations

CloudWatch, CloudTrail, Systems Manager, Datadog, New Relic, Azure Monitor, Application Insights, Google Cloud Monitoring, PagerDuty, Prometheus + Grafana

Infrastructure-as-Code

Terraform (primary), AWS CloudFormation, Azure ARM templates, CDK, Pulumi, Ansible, Packer

When you need infrastructure architecture

You need infrastructure architecture services if:

  1. Starting a new cloud deployment — Greenfield infrastructure requiring design from scratch
  2. Runaway cloud costs — AWS/Azure/GCP bills growing faster than usage without clear understanding why
  3. Performance bottlenecks — Application experiencing scalability issues or performance degradation under load
  4. Poor availability — Experiencing frequent outages or unplanned downtime affecting customers
  5. Security concerns — No formal security architecture, concerned about compliance or breach risk
  6. Migration planning — Moving from on-premises to cloud, or between cloud providers, requiring migration architecture
  7. Organic growth technical debt — Infrastructure evolved without architectural oversight, now difficult to maintain or scale
  8. Compliance requirements — Need to meet regulatory standards (HIPAA, PCI-DSS, SOC 2, ISO 27001) requiring architectural controls

Pricing and engagement models

Infrastructure assessment and optimization

£12,000 - £22,000 | 2-3 week engagement Review of existing infrastructure, cost optimization recommendations, performance analysis, security review, architecture improvement roadmap. Ideal for organizations wanting to optimize existing cloud deployment. Typical outcome: 20-40% cost reduction opportunities identified.

Cloud architecture design (greenfield)

£25,000 - £55,000 | 4-8 week engagement Complete infrastructure architecture for new deployment including compute, storage, database, networking, security, HA/DR design, cost estimation, and infrastructure-as-code templates. Ideal for new applications or major platform builds. Typical scope: single application/platform with 3-5 environments.

Migration architecture and planning

£35,000 - £75,000 | 6-10 week engagement On-premises to cloud migration or cloud-to-cloud migration architecture including current state assessment, target architecture design, migration strategy and approach, data migration planning, application compatibility review, testing strategy, cutover and rollback planning, and cost comparison. Typical scope: 10-40 servers/workloads, 5-15 applications.

Enterprise infrastructure architecture

£80,000 - £150,000 | 10-16 week engagement Large-scale, multi-account/subscription architecture including landing zone design (AWS Control Tower, Azure Landing Zones), multi-account strategy and governance, network architecture (hub-spoke, Transit Gateway), centralized security and compliance, multi-region HA/DR design, cost management and chargeback, and infrastructure-as-code for entire organization. Typical scope: enterprise-wide infrastructure supporting 15+ applications, multiple business units.

HA/DR design and implementation

£28,000 - £58,000 | 4-8 week engagement High availability and disaster recovery architecture including RTO/RPO analysis, multi-AZ or multi-region design, database replication and failover, backup strategy and testing, DR runbooks and testing procedures. Typical scope: single critical application with <4 hour RTO, <1 hour RPO targets.

Security architecture and compliance

£22,000 - £48,000 | 4-6 week engagement Infrastructure security hardening including security architecture review, IAM policy optimization, network segmentation design, encryption implementation (at rest, in transit), compliance control mapping (SOC 2, ISO 27001, HIPAA, PCI-DSS), security monitoring setup, and penetration test coordination. Typical scope: medium-complexity infrastructure with 1-2 compliance frameworks.

Architectural advisory retainer

£4,500 - £9,500 per month | Ongoing Continuous architectural guidance including monthly architecture review sessions, design review for new initiatives, cost optimization recommendations, security advisory, performance troubleshooting, and quarterly strategic planning. Ideal for organizations with ongoing cloud initiatives needing architectural oversight.

Why iCentric for infrastructure architecture

AWS Advanced Consulting Partner: Certified expertise with multiple AWS certifications across team (Solutions Architect Professional, DevOps Professional, Security Specialty). Experience with AWS Well-Architected Framework reviews and 200+ AWS deployments since 2012.

Multi-cloud expertise: While AWS is our primary focus, we have significant experience with Azure and GCP. We design multi-cloud architectures when business requirements warrant (avoiding vendor lock-in, utilizing best-of-breed services, geographic presence requirements).

Cost optimization focus: Architecture designed for cost-efficiency from day one, not as an afterthought. We've identified average 32% cost savings in infrastructure reviews for clients with existing deployments, and design new architectures targeting 20-30% lower TCO than typical implementations.

Security and compliance: Deep experience with regulated industries including healthcare (HIPAA, CQC), finance (FCA, PCI-DSS), and SaaS (SOC 2, ISO 27001). Infrastructure architectures include security controls mapped to compliance frameworks.

Infrastructure-as-code delivery: All architecture engagements deliver IaC implementations (Terraform primary, CloudFormation when appropriate) — not just diagrams. You receive working code that provisions your infrastructure with documented modules and deployment procedures.

Well-Architected methodology: Architecture designs follow AWS Well-Architected Framework principles across six pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

UK-based team: Architects based in the UK with native English fluency. Experience with UK compliance requirements (GDPR, NHS data standards) and understanding of UK business context.

Next steps: Infrastructure consultation

Start with a complimentary infrastructure consultation to understand your workload requirements, constraints, and objectives.

Consultation includes:

  • Workload characteristics and requirements review
  • Existing infrastructure assessment (if applicable)
  • Architecture approach recommendation
  • Estimated timeline and pricing
  • Team composition and expertise areas
  • Sample architecture diagrams from similar projects

Get started: Contact us to schedule an infrastructure consultation or request a detailed architecture proposal.

Capabilities

What we deliver

Cloud architecture

Infrastructure designs for AWS, Azure, and GCP — optimised for performance, reliability, and cost at your scale.

Security & compliance

Security-first architecture that satisfies compliance requirements including ISO 27001, SOC 2, GDPR, and sector-specific standards.

Networking & connectivity

Network topology design including VPCs, subnets, peering, VPNs, and direct connectivity to on-premises systems.

Cost optimisation

Architecture reviews and right-sizing recommendations that eliminate waste without compromising performance or resilience.

Why iCentric

A partner that delivers,
not just advises

Since 2002 we've worked alongside some of the UK's leading brands. We bring the expertise of a large agency with the accountability of a specialist team.

  • Expert team — Engineers, architects and analysts with deep domain experience across AI, automation and enterprise software.
  • Transparent process — Sprint demos and direct communication — you're involved and informed at every stage.
  • Proven delivery — 300+ projects delivered on time and to budget for clients across the UK and globally.
  • Ongoing partnership — We don't disappear at launch — we stay engaged through support, hosting, and continuous improvement.

300+

Projects delivered

24+

Years of experience

5.0

GoodFirms rating

UK

Based, global reach

How we approach infrastructure architecture

Every engagement follows the same structured process — so you always know where you stand.

01

Discovery

We start by understanding your business, your goals and the problem we're solving together.

02

Planning

Requirements are documented, timelines agreed and the team assembled before any code is written.

03

Delivery

Agile sprints with regular demos keep delivery on track and aligned with your evolving needs.

04

Launch & Support

We go live together and stay involved — managing hosting, fixing issues and adding features as you grow.

Get in touch today

Book a call at a time to suit you, or fill out our enquiry form or get in touch using the contact details below

iCentric
April 2026
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