FIXED SCOPEone-off build
Ship an AWS deployment, end to end.
Fixed scope, fixed price, senior-only team. Landing zone to production workloads in 8-14 weeks.
FIXED SCOPE
- Zero juniors on client work
- Fixed quote in week 1
- Code, infra, runbook — yours
AWS Development Services.Built Around What You Actually Use.
AWS ships 200+ services. Our AWS development services exist to filter that down to the handful your workload genuinely needs — Graviton for 40% better price-performance, Lambda that doesn't cold-start on the critical path, EKS configured for your actual traffic pattern, not copied from a blog post. We build on AWS with the cost discipline that separates a cloud-native product from an expensive VM rental.
- Terraform
- Graviton4
- EKS / Lambda
- Cost-optimized
Why Entalogics for AWS
Four problems every AWS
development company
should catch and usually doesn't.
30-40% of cloud spend gets wasted on idle resources, over-provisioned instances, and zombie assets nobody remembers creating. Every AWS estate we audit has the same story — on-demand instances running 24/7 with no Savings Plan, S3 buckets in the wrong tier, and EKS node pools sized for a peak that happens twice a year.
Cost01
The cheapest instance is the one that's actually right-sized.
Graviton4 for 40% better price-performance on sustained compute. Spot for anything stateless. Savings Plans covering 60-70% of baseline. We wire in FinOps tagging, budget alerts, and Compute Optimizer recommendations before the first bill becomes a surprise.
Architecture02
EKS got picked because it's familiar, not because the workload needed it.
Lambda for event-driven spikes. Fargate for containers without node management. EKS only when orchestration complexity is genuinely justified. Every service choice has to be defended by the actual workload pattern, not by what someone deployed on the last project.
State03
A petabyte was sitting in S3 Standard because nobody set the lifecycle policy.
Standard for hot data, Intelligent-Tiering for anything unpredictable, Glacier for archives. Lifecycle rules move data automatically once we set them — not manually, six months after someone notices the bill.
Type safety04
Someone clicked a change in the console, and now nobody can explain why.
Every resource lives in Terraform or CDK, stored in git, deployed through GitHub Actions or CodePipeline. Drift detection catches the manual console click before it becomes an untraceable production incident.
When AWS, when not
AWS is a tool.
Not the only cloud,
and not automatically the right one.
AWS has the deepest service catalogue of any cloud provider — and the steepest learning curve, with the most ways to spend money without meaning to. We'll say so on the first call if AWS development isn't actually the right fit for your workload.
PICK AWS WHEN
- You're greenfield with no existing cloud commitment — AWS has the widest managed-service selection of any provider
- Custom silicon changes your cost math — Graviton and Trainium offer price-performance Azure and GCP can't match
- You're on a startup-to-scale trajectory — AWS credits and startup programs are the deepest in the industry
- Your stack leans open source and Linux-first, rather than a Microsoft-centric environment
CONSIDER AZURE WHEN
- Microsoft 365, Active Directory, and SQL Server are already core to your organization — the licensing integration justifies the switch
- Hybrid cloud through Azure Arc is a genuine, stated requirement
- Exclusive Azure OpenAI Service access matters to your product roadmap
WE SAY NO WHEN
- "AWS because everyone uses it" — that's consensus, not an architecture decision
- "Lift and shift our VMs and call it cloud" — that's renting someone else's datacenter at a markup
- "Full AWS migration in four weeks" — that ship has sailed
What we build on AWS
AWS development services
and consulting we deliver.
Eight ways this work shows up for real clients. Each one deployed with cost controls and observability from day one, not bolted on after the first surprise invoice.
- S01
EKS-based application platforms
EKS-based application platformsKubernetes with Graviton node groups, Karpenter autoscaling, Spot for non-critical workloads, ArgoCD for GitOps. EKS used deliberately, never as a default.
EKSKARPENTERGRAVITON4ARGOCD - S02
Serverless and Lambda architectures
Serverless and Lambda architecturesEvent-driven compute on Lambda with Graviton2, API Gateway, SQS, EventBridge. Consumption pricing for variable workloads, with cold starts managed instead of ignored.
LAMBDAAPI GATEWAYSQSEVENTBRIDGE - S03
AWS landing zones and governance
AWS landing zones and governanceControl Tower, Organizations, SCPs, GuardDuty, SecurityHub — the governance foundation deployed before the first workload lands, not retrofitted at audit time.
CONTROL TOWERSCPGUARDDUTYSECURITYHUB - S04
Data engineering and platforms on AWS
Data engineering and platforms on AWSAurora, DynamoDB, S3, Redshift, Glue. Transactional and analytical workloads separated deliberately, with cost tiering that actually matches access patterns.
AURORADYNAMODBS3REDSHIFT - S05
Cloud migrations to AWS
Cloud migrations to AWSOn-prem to AWS, Azure to AWS, or a legacy AWS estate modernized properly. Workload by workload using AWS Migration Hub, with real cost modeling built into the plan.
MIGRATION HUBDMSMGNDIRECT CONNECT - S06
CI/CD and DevOps consulting on AWS
CI/CD and DevOps consulting on AWSGitHub Actions targeting AWS, CodePipeline, or ArgoCD on EKS. One pipeline building, testing, and deploying both infrastructure and application code.
GITHUB ACTIONSCODEPIPELINETERRAFORMCDK - S07
AWS Well-Architected Framework review
AWS Well-Architected Framework reviewA structured audit against AWS's own six pillars — cost, security, reliability, performance, operational excellence, sustainability — with a ranked, actionable remediation plan, not a generic scorecard.
WELL-ARCHITECTED TOOLTRUSTED ADVISORCOMPUTE OPTIMIZERCOST EXPLORER - S08
AWS managed services
AWS managed servicesOngoing monitoring, cost reviews, patching, and incident response after go-live — so the environment that launched clean doesn't quietly drift back into the mess we were hired to fix in the first place.
CLOUDWATCHGUARDDUTYDATADOGPAGERDUTY
The playbook
AWS development
patterns we ship on repeat.
Patterns from real production deployments — not a re:Invent slide deck dressed up as a case study.
P01
Terraform-first infrastructure
Every resource in Terraform modules, state in S3 with DynamoDB locking, no console changes surviving past a PR. Drift detection through Terraform Cloud or Spacelift.
P02
Graviton by default
Graviton4 for EC2, EKS node groups, RDS, ElastiCache. ARM container images built in CI. x86 only when a dependency genuinely requires it — 20-40% savings from a configuration change alone.
P03
FinOps tagging from day one
Cost center, environment, and owner on every resource. Budget alerts per account. Compute Optimizer and Trusted Advisor reviewed monthly, not once a year.
P04
Karpenter over Cluster Autoscaler
Karpenter provisions the right instance for the actual workload, not the one preconfigured in a node group months ago. Spot and on-demand mixed automatically, bin-packed to save real money.
P05
GuardDuty and SecurityHub from the start
Threat detection and security posture live before the first incident forces the question. Findings aggregated, prioritized, and actionable — not a dashboard nobody checks.
P06
Stage-gated deployments
Dev to staging to production with approval gates, canary analysis, and automated rollback. No YOLO deploys, no "it worked in dev" as a deployment strategy.
Signature case
A SaaS platform,
optimised from $67k/mo to $38k/mo on AWS.
A B2B SaaS platform on AWS — $67k/mo, all on-demand x86 instances, EKS node groups sized for peak load 24/7, S3 Standard for everything including three-year-old logs, and no Savings Plans. Migrated to Graviton4, implemented Karpenter with Spot, applied Savings Plans to baseline, and configured S3 lifecycle policies in 8 weeks. Monthly spend dropped 43%.
Before
$67k/mo · all on-demand x86 · static EKS node groups · S3 Standard for everything · no tagging
After
$38k/mo · Graviton4 + Spot · Karpenter autoscaling · S3 lifecycle policies · full FinOps dashboard
- Monthly infra cost−43%
- Optimisation duration8wk
- Downtime during changes0
- Cost visibilityfull
Industries we serve
AWS development
across industries.
We've delivered AWS development services for SaaS, fintech, healthcare, retail, and enterprise IT — anywhere the breadth of AWS's service catalogue and Graviton's price-performance are already part of the decision.
- SaaS & Enterprise Software
- Fintech & Payments
- Healthcare
- Retail & eCommerce
- Media & Streaming
- Manufacturing & Logistics
Engagement shape
Eight to ten weeks
on an AWS engagement.
Workload by workload. The current infrastructure stays live the entire time we work.
- W01
Audit + RFC
Cost analysis, security posture review, resource tagging audit, Compute Optimizer review. A ranked, dollarized plan, not a list of vague concerns.
- W02–03
Landing zone + first workload
Terraform landing zone deployed, SCPs enforced, first production workload live with monitoring and cost tagging. Real cost data in your dashboard by week three.
- W04–08
Workload by workload
Each workload deployed or migrated with Graviton, right-sized compute, proper storage tiering, and GuardDuty enabled. Your product keeps running throughout.
- W09+
Handoff + FinOps
FinOps dashboard live, security posture green. Runbook handed over, or we stay on for AWS managed services.
Stack
Tools we
Tools we reach
reach for for first.
Our default AWS cloud development stack — picked for production, not certification exams.
IaC
Terraform · AWS CDK · CloudFormation
Compute
EKS · Lambda · Fargate · EC2 Graviton4
Data
Aurora · DynamoDB · S3 · ElastiCache · Redshift
Security
GuardDuty · SecurityHub · IAM · KMS · Secrets Manager
CI/CD
GitHub Actions · ArgoCD · CodePipeline · Flux
Monitoring
CloudWatch · Datadog · Prometheus · Grafana · Sentry
Engagement
Three ways to hire
AWS developers
at Entalogics.
No hourly billing for thinking time. Fixed quote or a transparent monthly rate.
DEDICATED TEAMmonthly
Hire dedicated AWS engineers.
Senior cloud architects and DevOps engineers embedded in your Slack, your standups. Pause, resize, or exit with 30 days' notice.
PER ENGINEER
- Same senior bar as fixed-scope
- Embedded in your team
- Founder-direct escalation
ENGAGEMENTcustom
Strategic AWS consulting partnership.
A standing partner for enterprise cloud — landing zone governance, cost optimization, security posture, migration roadmap, hiring help.
PROCUREMENT-FRIENDLY
- Multi-quarter roadmap
- Architecture and hiring partner
- Procurement-friendly paper
FAQ
Questions we get on almost
every AWS call.
AWS vs Azure, cost control, EKS vs Lambda, timelines, existing estates — in roughly the order people ask.AWS if you're greenfield, want the broadest service catalogue, or need Graviton's price-performance advantage. Azure if you already live in Microsoft 365 and Active Directory — the licensing integration justifies it on its own. We'll tell you which fits on the first call.
Graviton by default, Savings Plans covering baseline usage, Spot for stateless workloads, S3 lifecycle policies, Karpenter for EKS, and FinOps tagging on every resource. Cost control is a continuous practice, not a one-time setup at launch.
Lambda for event-driven and variable traffic. Fargate for containers without node management. EKS when you need full Kubernetes control and workload portability. Most applications don't need EKS, and we'll tell you if yours is one of them.
Depends on scope and how much of your estate already exists. The week-one audit gives real, dollarized numbers — the quote is fixed from there, not a range that grows every sprint. Most engagements run 8-14 weeks end to end.
Yes. The engineers who write the RFC ship the infrastructure. No handoff mid-engagement, no account manager in between.
Yes. We audit what's there, tag what's untagged, right-size what's over-provisioned, and deploy new workloads with Terraform alongside what already exists. No rip-and-replace unless the estate genuinely needs it.
Founder-direct
Tell us whatyou're building.
Thirty minutes with the founder — a senior AWS architect, the relevant playbook, and a candid read on whether AWS is the right cloud, or Azure and a multi-cloud approach actually fits your workload better.