Technologies / AWSAWS, engineered
for production.
Certified engineers, cost-conscious architecture, and compliance-ready deployments. From single-instance apps to multi-region, multi-account platforms.
15+
AWS engineers
$2.4M+
Annual cloud spend managed
35%
Avg. cost reduction
99.98%
Uptime across our clusters
The stack
Tools we ship with.
AWS CDK
IaC with real code
Terraform
Multi-cloud IaC
Pulumi
IaC, any language
CloudFormation
AWS-native IaC
ECS
Container orchestrator
EKS
Managed Kubernetes
Lambda
Serverless compute
RDS
Managed relational
DynamoDB
Managed NoSQL
CloudFront
Global CDN
CloudWatch
Observability
X-Ray
Distributed tracing
Well-Architected Framework
The six pillars we design against.
Every architecture we ship is reviewed against the AWS Well-Architected Framework. Not as a checkbox — as the lens that catches problems before they reach production.
Operational Excellence
Infrastructure as code, observability, runbooks, and post-incident reviews.
Security
Least privilege, encryption at rest and in transit, detective controls, incident response.
Reliability
Multi-AZ by default, tested backups, DR drills. Chaos engineering where it matters.
Performance Efficiency
Right-sizing, caching strategies, serverless where it fits, load tested.
Cost Optimization
Savings plans, Graviton, storage tiering, waste elimination. Reviewed monthly.
Sustainability
Graviton, managed services, region selection, workload rightsizing.
Cost optimization
How the 35% average reduction happens.
Not one big change — six smaller ones, applied consistently. Here's where the money actually comes from.
Compute Savings Plans
Up to 66% off vs on-demand for committed spend. Flexible across instance families, regions, and Fargate.
Graviton migration
20–40% better price/performance over equivalent x86. Lambda, Fargate, RDS, ElastiCache all supported.
Right-sizing
Match instance type to actual utilization. Most fleets run 40–60% under-utilized before we tune.
S3 Intelligent-Tiering
Automatic storage class transitions. No retrieval fees. Ideal for unpredictable access patterns.
Idle resource cleanup
Orphaned EBS volumes, unused Elastic IPs, old snapshots, stale AMIs. Real money hiding in plain sight.
Spot for interruptible
Batch, CI runners, dev environments. Up to 90% off on-demand for workloads that can handle interruption.
Real engagement · 6 weeks
Before
$180,000
After
$118,000
Saved
34%
Where it came from
Compute Savings Plans
$38,000 / year
Graviton migration
$14,000 / year
Right-sizing + idle cleanup
$10,000 / year
Packaged service
Three-week Well-Architected Review.
Fixed scope, fixed price. We review your AWS estate against all six pillars and hand you a prioritized remediation roadmap.
Discovery and inventory. We map every account, service, and integration.
Deliverables
Account inventory · Service map · Data flow diagram
Review against all six pillars. Findings documented, prioritized by business impact.
Deliverables
Pillar-by-pillar findings · Risk register · Impact analysis
Remediation roadmap. Quick wins vs long-term. Cost and effort estimated per item.
Deliverables
Prioritized roadmap · Cost estimates · Fixed-price remediation quote
Service catalog
40+ services. We know the ones that matter.
AWS offers hundreds of services. Real production systems use a handful well. Here's what we work with most.
EC2
Virtual servers on demand
Lambda
Serverless functions
ECS
Managed containers
EKS
Managed Kubernetes
Fargate
Serverless containers
Batch
Managed batch computing
Multi-account architecture
Landing zone. Not a single account.
Every serious AWS deployment uses accounts as security and billing boundaries. One breach shouldn't compromise everything you run.
AWS Organizations
Accounts as security and billing boundaries, not folders. One account per team, environment, or workload.
Control Tower
Guardrails and account factory. New accounts come online with baseline controls already applied.
Service Control Policies
What accounts can't do, regardless of IAM. Region locks, service allowlists, destructive action blocks.
Cross-account roles
The secure way to grant access across accounts. No shared long-lived credentials.
Centralized logging
CloudTrail, Config, GuardDuty aggregated into a security account. Evidence in one place.
Network hub
Transit Gateway, shared VPCs, PrivateLink. Centralized egress, IDS/IPS, and DNS.
Migration
The six R's, applied.
Migration isn't one thing. It's a portfolio decision — where you rehost, replatform, refactor, or retire. Every workload gets the right answer.
Rehost
Lift-and-shift. Fastest path off legacy infrastructure. Use Application Migration Service.
Replatform
Small changes to gain cloud benefits — managed databases, containers, Graviton.
Refactor
Rearchitect for cloud-native. Serverless, microservices, event-driven. The biggest wins.
Repurchase
Move to SaaS — email, CRM, HR. Not everything needs to be migrated.
Retain
Some workloads stay on-prem. Data residency, licensing, or hardware latency.
Retire
Delete what nobody uses. Migration is a chance to clean house.
Migration Hub
Discovery, tracking, and dependency mapping across the whole portfolio.
DMS
Database Migration Service — schema conversion, continuous replication, minimal downtime.
Snowball / DataSync
Bulk data transfer. Snowball for TBs to PBs, DataSync for online sync.
Application Migration Service
The modern Server Migration Service. Continuous block-level replication.
Security posture
What every production account has.
These aren't aspirational. They're the baseline we enforce on every account we touch. If any are missing, the environment isn't production-ready.
No root access keys
criticalRoot account has no access keys. Ever. MFA on the root console login.
IAM roles, not users
criticalApplications use roles. Users use SSO via Identity Center. No long-lived access keys.
GuardDuty everywhere
criticalEnabled in every region you use. Findings routed to a security account.
CloudTrail organization-wide
criticalEvery API call logged in every account. Logs immutable, centralized.
Config rules for drift
criticalCompliance drift detected automatically. Public S3 buckets, unencrypted volumes, open SGs.
KMS for encryption at rest
criticalCustomer-managed keys for sensitive data. Rotation enabled. Audit trail of every use.
ACM for TLS everywhere
Managed certificates. Auto-renewal. No expired TLS in production.
Secrets Manager over env vars
Rotating secrets, versioning, fine-grained access. Not .env files in git.
VPC flow logs
Network traffic logged per ENI. Security investigations have data to work with.
Security Hub aggregated
Findings from GuardDuty, Inspector, Macie, and Config in one place.
Backup vault with immutable retention
Ransomware-resistant backups. Can't be deleted by compromised credentials.
Cost anomaly detection
Alert on unexpected spend — often the first sign of a compromised key.
Compute
Four compute models. The right one for each workload.
Lambda
Event-driven, spiky traffic, sub-second workloads. Pay per invocation. Scale to zero.
Best when
- APIs with variable load
- Event processing
- Scheduled jobs
- Glue code between services
Fargate
Container workloads without managing servers. Per-second billing. No EC2 fleet.
Best when
- Containerized services
- You don't want to manage nodes
- Batch jobs in containers
- Simple scaling policies
ECS / EKS
Long-running services, custom runtimes. Full control over the compute layer.
Best when
- Kubernetes is a requirement
- Complex microservices
- Custom networking needs
- You want fleet-level control
EC2
Specific instance types, licensing, or high-utilization workloads where reserved capacity wins.
Best when
- Licensed software (Oracle, SAP)
- GPU or specific hardware
- Steady-state high utilization
- Custom AMIs and deep tuning
Observability
You can't operate what you can't see.
CloudWatch
Metrics, logs, dashboards, alarms. The baseline for every AWS workload.
X-Ray
Distributed tracing across Lambda, ECS, API Gateway. Real latency breakdowns.
OpenTelemetry
Vendor-neutral instrumentation. Export to CloudWatch, Datadog, Honeycomb — your choice.
Logs Insights
Query language for CloudWatch Logs. Ad-hoc and saved queries at scale.
CloudWatch Synthetics
Canary checks from multiple regions. Catches regional outages before users do.
AWS Budgets
Cost alerting at any granularity. SNS, Slack, PagerDuty integration.
Infrastructure as code
CDK vs Terraform vs CloudFormation vs Pulumi.
We use all four. The right one depends on your team, your multi-cloud needs, and how much you value real code over config.
CDK
DefaultLanguage
TypeScript, Python, Go, Java
Pros
Strongly typed, real code, AWS-native constructs
Cons
CloudFormation under the hood (verbose errors)
Terraform
Language
HCL
Pros
Multi-cloud, huge community, mature
Cons
State management is a job in itself
CloudFormation
Language
YAML, JSON
Pros
AWS-native, service-consistent, zero drift
Cons
Verbose, slow, hard to test
Pulumi
Language
TS, Python, Go, .NET
Pros
Real code, multi-cloud, modern tooling
Cons
Smaller community than Terraform
Graviton
ARM64, and worth migrating for.
AWS custom silicon is 20–40% cheaper per unit of compute than equivalent x86. It's also faster. Most teams just haven't done the migration yet.
20–40% better price/performance
ARM-based, custom silicon. Cheaper and faster than equivalent x86 instances.
Broad service coverage
EC2, Lambda, Fargate, RDS, ElastiCache, OpenSearch, MSK, ElastiSearch.
Migration path
Start with stateless services. Test containers. Move databases last.
Lambda Graviton
The cheapest switch you'll ever make. Change one setting, save 20%.
Container-friendly
Multi-arch container images. ECS and EKS schedule ARM and x86 side by side.
Fully supported
Every mainstream language and runtime. Nothing exotic required.
Disaster recovery
Four tiers. Pick based on RTO, not fear.
RTO drives cost. Match the strategy to the workload, not to a vague sense that “we should have DR.”
RTO Hours
Backup & Restore
Cost
$
Snapshots and S3 backups. Restore on demand. Cheapest, slowest.
RTO 10s of minutes
Pilot Light
Cost
$$
Minimal footprint always running. Scale up on failover. Databases replicate continuously.
RTO Minutes
Warm Standby
Cost
$$$
Reduced-capacity version running in the DR region. Scale up and cut over.
RTO Seconds
Multi-Site Active/Active
Cost
$$$$
Full capacity in two regions. Traffic split. Highest cost, best RTO.
Compliance
Frameworks we build for.
SOC 2
HIPAA
ISO 27001
PCI DSS
GDPR
FedRAMP
Cost tooling
What we monitor to keep spend in check.
Cost Anomaly Detection
ML-based alerts on unusual spend. Often the first sign of a compromised key.
AWS Budgets
Hard and soft alerts by service, tag, or account. Integrates with Slack and PagerDuty.
Cost Explorer
The standard for cost analysis. Granularity by service, tag, region, and linked account.
Savings Plans recommendations
Built-in engine suggests commitment levels based on your actual usage.
Trusted Advisor
Cost, security, performance, and service quota checks. The low-hanging fruit list.
CUR + Athena
Cost and Usage Report queried via Athena. Custom analysis at any granularity.
Multi-region
Global from day one, or when it earns its cost.
Active-passive
One region serves traffic. The other is warm or cold. Cheaper, RTO in minutes to hours.
Active-active
Both regions serve traffic. Route 53 latency or weighted routing. RTO in seconds.
Data residency
Region pinning via SCPs. Client data never leaves the designated geography.
Global services
Route 53, CloudFront, IAM, Organizations operate globally. Know which ones are regional.
Replication lag
Cross-region replication is not instant. Application design must tolerate it.
Cost of multi-region
Roughly 1.7–2× single-region cost for active-passive; 2×+ for active-active.
Amazon Bedrock · AI workloads
AI without managing infrastructure.
Bedrock gives you Claude, Llama, Titan, and others as managed APIs. No GPU fleets, no model serving, no ops. Just build the product.
Chatbots & assistants
Claude, Llama, Titan via managed API. Streaming responses, prompt caching, guardrails.
RAG pipelines
Bedrock Knowledge Bases + OpenSearch Serverless. Your data, semantic retrieval.
Content generation
Marketing copy, product descriptions, summaries at scale with cost controls.
Code assistants
Bedrock + Copilot-style tooling. On your codebase, your guardrails.
Document intelligence
Textract for OCR, Comprehend for classification, Bedrock for extraction.
Forecasting & analytics
Amazon Forecast, Bedrock for narrative generation on top of quantitative output.
Honest comparison
AWS vs GCP vs Azure vs Cloudflare.
We build on all of them. The right choice depends on your team, workload type, and where your gravity already sits.
AWS
DefaultType
Broadest service catalog
Best when
Breadth, depth, ecosystem
Signals
- Broadest service selection
- Largest talent pool
- Complex enterprise requirements
- Compliance certifications everywhere
- Most 3rd-party integrations
GCP
Type
Data & ML strength
Best when
BigQuery, Vertex AI, GKE
Signals
- Analytics-first workloads
- ML/AI is the core product
- Kubernetes-native architecture
- You want Google-grade networking
- BigQuery is your warehouse
Azure
Type
Microsoft-first
Best when
Enterprise integration, AD
Signals
- Microsoft 365 / Entra ID org
- .NET-first team
- Enterprise agreement already in place
- Hybrid with on-prem Windows
- Microsoft compliance needs
Cloudflare
Type
Edge-first
Best when
CDN, Workers, DDoS
Signals
- Edge compute is the primary need
- Global CDN performance matters most
- You want simple, fast serverless
- DDoS is a top concern
- Cost predictability matters
Real-world use
What teams actually build.
SaaS backends
Multi-tenant, autoscaling, per-tenant cost visibility. Containerized with ECS or EKS.
Data platforms
S3 + Glue + Athena + Redshift. Lakehouse architectures with cost-aware tiers.
AI & ML workloads
SageMaker, Bedrock, GPU instances, vector stores. From prototype to production.
Fintech
Compliance-aligned infrastructure. Encryption, audit, DR with tested RTO/RPO.
Media
S3 + CloudFront + MediaConvert. Global delivery, transcoding pipelines, DRM.
Enterprise
Multi-account landing zone. Control Tower, SSO, centralized logging, SCPs.
Anti-patterns
What we never find in a well-run account.
Root account access keys
The single most dangerous misconfiguration. Root has no MFA and a key in a git repo.
No MFA on console
Every user, every role, always. Even internal-only accounts.
Users instead of roles
Long-lived access keys leak. Roles assume temporary credentials. No exceptions.
Single AWS account
One breach compromises everything. Accounts are security boundaries for a reason.
No budget alerts
Discovering a $50k month on your invoice. Anomaly detection catches it in hours.
Public S3 buckets by accident
Almost always an ACL misconfig, not intent. Block public access by default.
Untested backups
A backup that hasn't been restored isn't a backup. It's a hope.
Config drift unchecked
Infrastructure mutated by hand. Config rules catch it before audit does.
Why us
Certified, cost-aware, compliance-ready.
Anyone can put the AWS logo on their site. We hold certifications, ship production systems, and understand the cost model well enough to actually reduce your bill.
See why teams choose usCertified, not just familiar
Solutions Architect Professional, DevOps Professional, Security Specialty.
Cost optimisation first
We review spend before we add services. Typical savings: 30%+.
Compliance-ready
SOC 2, HIPAA, and ISO 27001-aligned architectures.
Multi-account strategy
Organizations, Control Tower, and segregated environments.
Full-stack ownership
Networking, compute, data, security, and observability.
No vendor lock-in
Standard services, standard tools. Portable if you move.
Certifications
The badges our engineers carry.
The process
Five phases. Every AWS engagement follows them.
Discovery
Inventory, access patterns, business goals, compliance requirements. We map what exists before we change it.
Deliverables
Account inventory · Service map · Compliance scope · Fixed quote
Design
Reference architecture, Well-Architected review, cost model, security posture. Documented decisions.
Deliverables
Architecture doc · WAF review · Cost estimate · Security plan
Build
Terraform or CDK. CI/CD pipelines. Observability from day one. Immutable infrastructure.
Deliverables
IaC repos · CI/CD pipelines · Monitoring · Runbooks
Optimize
Right-sizing, savings plans, Graviton migration, storage tiering. Measured against baseline.
Deliverables
Cost report · Optimization roadmap · Savings tracking
Support
24/7 monitoring, incident response, quarterly Well-Architected reviews, cost reviews.
Deliverables
On-call rotation · SLA · Quarterly reviews · Roadmap
Timelines
How long a migration takes.
Single app
4–6 wk
- Lift-and-shift one application
- Basic observability
- Cost baseline established
- Minimal rework
Multi-app
3–4 mo
- Multiple apps replatformed
- Landing zone foundation
- Centralized logging & security
- Cost optimization pass
Enterprise
6–12 mo
- Full portfolio assessment
- Control Tower + Organizations
- Compliance alignment
- Phased wave migration
Selected work
AWS in production.
SaaS cost reduction
Audited a $180k annual AWS spend. Savings plans, Graviton migration, and idle resource cleanup cut it by 34% in six weeks.
Outcome
34% saved
Multi-account rollout for fintech
Built a Control Tower landing zone across 24 accounts. SCPs for compliance, centralized logging, SSO integrated.
Outcome
24 accounts live
On-prem to AWS for retail chain
Migrated 40 workloads over 5 months. Zero-downtime cutover. Legacy Oracle to Aurora PostgreSQL.
Outcome
40 workloads
Client feedback
What our clients
actually say.
“The move to SikaNet CBS was a bigger shift than I expected — but the right one. Before, our Susu collectors were on paper and every BOG report took us days to assemble. Now collections appear in the office before a collector even finishes their route, and the reports are just there. The team understood our business from day one.”
David Awuni
Founder, Adwumapa Microfinance
“We were cautious about moving patient records online. The on-prem approach changed that — everything stays inside the health center, nothing goes to a foreign cloud. Our clinicians now retrieve a file in seconds instead of ten minutes, and every entry has an audit trail behind it.”
Medical Director
Sekyedumase Health Center
“The patient management system they developed has streamlined our ophthalmology department. Appointment scheduling, patient records, and referral tracking are now seamless — saving us hours of administrative work every day.”
Isaac Adu
Ophthalmologist, Ghana Health Service
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