Redefine and future-proof your business process with intelligent AWS Development Services. Build large-scale cloud infrastructure and manage implementation effectively.
Security, reliability, cost — every pillar reviewed
Terraform + CDK — every resource version-controlled
Zero standing access — roles scoped per service
No single points of failure in production
"Ahex rebuilt our entire infrastructure on AWS in 8 weeks. We went from a single EC2 instance with no backups to a multi-AZ ECS cluster with RDS Aurora, CloudFront, and full CI/CD. Our AWS bill is actually 30% lower than our old server cost."
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Ahex Technologies is your go-to partner for AWS cloud engineering. With deep expertise across EC2, ECS, EKS, Lambda, RDS, Aurora, DynamoDB, S3, CloudFront, API Gateway, SQS, SNS, and IAM, we design and deploy AWS architectures that are secure, scalable, and cost-optimised — with every resource managed as reviewed Terraform or CDK code.
Our AWS services span the full cloud stack — from single-region web application deployments to multi-region active-active architectures, serverless microservices, data lake pipelines on S3 and Glue, machine learning inference on SageMaker, and full MLOps platforms. Whether you are migrating from on-premise, modernising a monolith into ECS microservices, or building a greenfield SaaS product on AWS from scratch, our certified engineers deliver architectures that pass the AWS Well-Architected Framework review across all five pillars.
AWS is the cloud platform that enterprise engineering teams converge on — 200+ services covering every compute, storage, database, networking, security, AI/ML, and compliance use case, with the broadest compliance certification portfolio in the industry. Every regulated industry, every government procurement, and every enterprise RFP eventually specifies AWS.
Chosen by NASA, Netflix, Airbnb, Samsung, BMW, and the UK Government — and powering over one third of all internet traffic globally as the world's most widely deployed cloud platform.
From EC2 and ECS deployment to Lambda serverless, RDS and Aurora databases, S3 and CloudFront CDN, IAM security, Terraform IaC, and full AWS migrations from on-premise or other clouds.
Production-grade AWS compute deployments — EC2 Auto Scaling Groups behind Application Load Balancers, ECS Fargate containerised services, and EKS managed Kubernetes clusters with Helm and ArgoCD.
EC2 Auto Scaling Group — launch templates, lifecycle hooks
ECS Fargate — task definitions, service auto-scaling, ECR
EKS — managed control plane, Helm, ArgoCD GitOps
ALB with target groups, health checks, sticky sessions
Multi-AZ deployment — no single point of failure
AWS Lambda functions and serverless architectures — event-driven microservices with API Gateway, SQS triggers, S3 event processing, scheduled EventBridge rules, and Step Functions workflows.
Lambda + API Gateway — REST and HTTP APIs
SQS / SNS event-driven processing pipelines
Step Functions — long-running workflow orchestration
Lambda Layers for shared dependencies and runtimes
AWS managed relational and NoSQL databases — RDS PostgreSQL and MySQL with Multi-AZ failover, Aurora Serverless v2 for variable workloads, and DynamoDB with on-demand capacity for high-throughput key-value access.
RDS PostgreSQL / MySQL — Multi-AZ, read replicas, snapshots
Aurora Serverless v2 — auto-scales to zero between workloads
DynamoDB — single-digit ms latency, global tables, streams
ElastiCache Redis — session store, job queues, caching layer
AWS S3 buckets configured for object storage, static website hosting, and backup archival — with CloudFront CDN in front for global edge delivery, Origin Access Control, signed URLs, and custom error pages.
S3 bucket policies, versioning, lifecycle rules, MFA delete
CloudFront distribution — OAC, cache behaviours, custom headers
ACM TLS certificates — auto-renewing, zero-cost
S3 event notifications → Lambda for file processing pipelines
AWS IAM least-privilege policies, Service Control Policies via AWS Organisations, KMS encryption for data at rest, WAF rules, GuardDuty threat detection, Security Hub findings, and CloudTrail audit logging on every production account.
KMS customer-managed keys for S3, RDS, EBS, and SQS encryption
WAF — OWASP Top 10 rules, rate limiting, geo-blocking
GuardDuty + Security Hub + CloudTrail on every account
React Hook Form + Zod resolver integration
AWS VPC design — public, private, and isolated subnets across multiple AZs, NAT Gateways, VPC endpoints for private S3 and DynamoDB access, Transit Gateway for multi-VPC architectures, and Direct Connect for on-premise connectivity.
VPC with public / private / isolated subnet tiers
VPC endpoints — S3 and DynamoDB without NAT Gateway cost
Route 53 — hosted zones, health checks, failover routing
Husky pre-commit type-check hook
On-premise to AWS migration, monolith-to-microservices modernisation on ECS or EKS, database migration to RDS or DynamoDB, and Heroku or DigitalOcean workload migration to AWS — executed with zero-downtime cutover.
On-premise → AWS: VM import, DMS database migration
Monolith → ECS microservices: strangler fig decomposition
Zero-downtime DNS cutover with Route 53 weighted routing
Turnaround: full audit report in 5–7 days
Every AWS resource managed as reviewed code — Terraform modules for reusable infrastructure patterns, AWS CDK for type-safe CloudFormation, and GitHub Actions pipelines for plan-then-apply workflows with manual approval gates.
Terraform AWS provider — VPC, ECS, RDS, S3 modules
AWS CDK — type-safe constructs in TypeScript or Python
GitHub Actions: terraform plan on PR, apply on merge to main
Code review sessions on real team PRs
At Ahex Technologies, we don’t just write code — we own outcomes. From type architecture to post-launch monitoring, our AWS team is your end-to-end cloud engineering partner — responsive, transparent, and accountable.
3–5 days to onboard your dedicated AWS engineer
Senior AWS — EC2, ECS, EKS, Lambda, RDS, Aurora, S3, IAM, VPC, Terraform, and CDKpes
Direct Slack access to your actual engineer — no account managers
Named, consistent developer — no bait-and-switch
Full code ownership from day one — no lock-in
Timezone-aligned — UK, UAE, and US hours coverage
2-week replacement guarantee if it's not the right fit
The following are the AWS security, compliance, resilience, and quality standards we engineer into every deployment — built from the AWS Well-Architected Framework, applied from day one.
Every AWS account Ahex configures ships with least-privilege IAM — no wildcard actions, no inline policies, roles scoped per service, and no long-lived access keys. Human access via AWS SSO with MFA, never root account credentials. (prev: no implicit any, no unsafe assignments, no unchecked indexed access.
RDS, ElastiCache, and EFS are placed in isolated private subnets with no public IP — reachable only from application-tier security groups. No database port is ever open to 0.0.0.0/0.
KMS customer-managed keys encrypt S3 buckets, RDS instances, EBS volumes, and SQS queues at rest. All data in transit enforced with TLS 1.2+ — no plaintext inter-service communication.
AWS Backup automated daily snapshots with cross-region replication. RDS automated backups retained 35 days. Point-in-time restore tested to confirm RTO before every production go-live.
Trivy container image CVE scanning in CodePipeline or GitHub Actions — images with CRITICAL vulnerabilities are blocked from ECR push and ECS deployment.
AWS Config rules and Security Hub standards (CIS Benchmarks, AWS Foundational Security Best Practices) run continuously — compliance drift detected and alerted within minutes of any configuration change.
Our AWS engineering practices align with regulatory requirements across healthcare, finance, and data privacy — a typed codebase is also an auditable one.
PHI workloads are deployed on HIPAA-eligible AWS services with BAA in place — RDS encrypted with KMS, CloudTrail audit logging, private subnet isolation, and S3 server-side encryption for all PHI storage. (prev: PHI from non-sensitive data at the type level — misuse flagged at compile time, not discovered in an audit.
Opaque CardNumber and CVV types prevent raw payment strings being passed through un-validated code paths — enforced by the compiler, not just policy.
PII is stored only in private-subnet RDS or DynamoDB — no PII in S3 public buckets, no PII in CloudWatch logs, and IAM policies prevent cross-account access to PII data stores models — accidental exposure of personal data caught before runtime in production.
Typed event schemas ensure every audit log entry has a known, validated shape — no untyped JSON blobs in the compliance trail.
AWS WAF configured with AWS Managed Rule Groups covering OWASP Top 10 — SQL injection, XSS, Log4j, known bad inputs — deployed in front of CloudFront or ALB on every internet-facing workload.
AWS is PCI DSS Level 1 certified. Ahex scopes cardholder data environments using dedicated VPC subnets, NACLs, WAF, CloudTrail, and KMS encryption — isolating payment processing from other workloads in the same AWS account.
AWS Well-Architected Tool review against all five pillars before go-live, AWS Config rules enforcing resource compliance, and SCPs preventing non-compliant resource creation — ISO 27001 control mapping documented per deployment.
Application secrets stored in AWS Secrets Manager with automatic rotation — database passwords rotated every 30 days without application downtime. Config values in SSM Parameter Store with KMS encryption. No plaintext secrets in environment variables, Docker images, or source code.
All AWS resources tagged with environment, team, and cost-centre tags. AWS Cost Explorer dashboards, Budget alerts at 80% and 100% of monthly threshold, Savings Plans for predictable EC2 and Lambda workloads, and rightsizing recommendations reviewed monthly.
From EC2, ECS, and EKS to Lambda, RDS, Aurora, DynamoDB, S3, CloudFront, IAM, KMS, WAF, GuardDuty, Terraform, CDK, and GitHub Actions — every AWS service and tool our team operates daily in production.
AWS compute layer
AWS data layer
AWS network layer
AWS security layer
AWS resource management
AWS delivery pipeline
AWS monitoring and tracing
AWS event-driven layer
We deploy on all four. We give honest advice — including recommending Azure for Microsoft-first organisations, GCP for data-heavy and AI/ML workloads, and DigitalOcean for cost-sensitive developer teams.
| Criteria | AWS | Azure / GCP | DigitalOcean / Render |
|---|---|---|---|
| Service breadth | 200+ services — the widest catalogue, most mature across all categories | Azure: 200+ (strong Microsoft integration); GCP: 150+ (strongest AI/ML) | Limited — focused on compute, databases, storage, and CDN |
| Compliance certifications | 140+ including FedRAMP High, DoD IL6, ITAR, HIPAA, PCI DSS, ISO 27001 | Azure: strong government/enterprise; GCP: broad, strong AI compliance | SOC 2, ISO 27001, PCI DSS — sufficient for most SMB/SaaS |
| Managed Kubernetes | EKS — powerful, complex IAM and VPC integration | Azure AKS: best Kubernetes UX; GKE: most automated cluster management | DOKS: simplest; Render: no native Kubernetes |
| Serverless / Functions | Lambda — widest trigger ecosystem, best performance, lowest cold start | Azure Functions: best .NET integration; Cloud Functions/Run: simple GCP | DO Functions: limited; Render: no serverless |
| Pricing model | Usage-based — powerful but complex billing, potential for cost surprises | Similar usage-based — Azure reservations; GCP Committed Use | Flat-rate — predictable, lower cost for simple workloads |
| AI/ML services | SageMaker, Bedrock, Rekognition, Comprehend — broadest ML training and inference | Azure OpenAI (best GPT integration); Vertex AI (best GCP ML platform) | No native ML/AI services |
| Developer experience | Steeper learning curve — powerful but complex IAM, VPC, and service integration | Azure: best for Windows/.NET teams; GCP: clean console and CLI | Best DX — simple control panel, any engineer productive in minutes |
| Ahex recommendation | Best for: enterprise compliance, regulated industries, complex microservices, government | Azure: Microsoft-first orgs; GCP: data engineering and AI-heavy workloads | Best for: cost-conscious startups, simple infrastructure, developer-led teams |
An AWS-specific process — Well-Architected design, IAM strategy, and disaster recovery plan agreed before a single resource is provisioned. Security and compliance enforced at every phase, not compiler config defined before a single component is built. Safety enforced from sprint zero, not patched in retrospect.
AWS architecture design against the five Well-Architected pillars — compute sizing, multi-AZ strategy, database engine selection, IAM design, VPC CIDR and subnet planning, and DR RTO/RPO targets agreed before any resource is provisioned.
AWS account structure (Organisations + SCPs), Terraform workspace with S3 remote state and DynamoDB locking, VPC with public/private/isolated subnets across 3 AZs, IAM roles, GuardDuty, CloudTrail, Config, and Security Hub enabled before any application resource is provisioned.
ECS Fargate or EKS cluster, RDS/Aurora in private subnets with Multi-AZ, ElastiCache Redis, ECR private registry, GitHub Actions pipeline with Trivy scan → ECR push → ECS deploy. Secrets in Secrets Manager, config in SSM Parameter Store.
CloudFront distribution with OAC, WAF with AWS Managed Rules, ACM certificates, CloudWatch dashboards and alarms, X-Ray distributed tracing, Budget alerts at 80%/100% monthly threshold, and AWS Backup automated snapshots.
AWS Well-Architected Tool review against all five pillars, Security Hub findings remediated, k6 load test at 2× expected peak traffic, RDS failover drill, Lambda cold-start benchmarks, and Cost Explorer review before go-live sign-off.
Monthly Cost Explorer review and rightsizing recommendations, Savings Plans evaluation, Trusted Advisor findings, Security Hub continuous compliance, ECS task definition and AMI patch cycles, and Terraform state audit to confirm all live resources are tracked in code.
All models include IaC Terraform workspaces, documented AWS runbooks, named engineers, and full code ownership from day one.
Cost is locked in a fixed-scope model. Ideal when the roadmap is well-defined and you want budget certainty.
Billing
Best For
A dedicated pod you optimise, scale, and augment your in-house team with. Best for ongoing product development.
Best suited for teams that need predictable sprint velocity.
Billing
Best For
Model Fit
In this model, there is no fixed time or budget. You will pay for the actual hours worked or materials completed and used.
Billing
Best For
Your teams will ship faster, safer code — and your production systems will have lower risk and better uptime — when AWS is architected correctly from day one.
140+ compliance programmes including FedRAMP High, DoD IL6, HIPAA, PCI DSS, ISO 27001, SOC 1/2/3, and ITAR — regulated industries, government, healthcare, and defence contracts consistently specify AWS as the required cloud provider.
RDS Multi-AZ automatic failover, ECS tasks distributed across Availability Zones, and ALB health check routing give AWS workloads fault-tolerant availability without custom engineering — built into the service configuration.
AWS IAM attribute-based access control, Service Control Policies across Organisations, permission boundaries, and IAM Roles for Services give security teams surgical control over every API call every service can make.
AWS SageMaker for custom model training and inference, Bedrock for foundation model APIs (Claude, Llama, Titan), and Rekognition, Comprehend, and Textract for pre-built AI — the widest AI/ML service catalogue of any cloud.
AWS Lambda scales from zero to millions of concurrent invocations automatically — no idle compute cost, no capacity planning, and no server patching. Event-driven architectures on SQS, SNS, EventBridge, and S3 events run entirely without servers.
Every AWS resource managed as reviewed code — VPCs, ECS clusters, RDS instances, IAM policies, CloudFront distributions — version-controlled, peer-reviewed pull requests, and applied via CI with manual approval gates for production.
Aurora Serverless v2 scales ACUs from 0.5 to 256 automatically — development databases cost cents per hour at night, production handles traffic spikes without pre-provisioned capacity, and you pay only for the ACUs consumed.
The five pillars give engineering teams a structured checklist for every deployment — Ahex uses the Well-Architected Tool to generate a findings report before every go-live, ensuring no pillar is overlooked.
Our AWS engineers use AI-powered tools across every phase — from type migration to test generation — without sacrificing type safety or code quality. The result: more output, fewer delays, the same rigorous strictness.
AI generates Zod schemas from JSON samples, infers types from existing JS, and suggests typed replacements for any casts — saving 2–3 days per migration sprint.
AI-assisted code review flags unsafe type patterns, missing return types, and any-cast misuse before human review — fewer back-and-forth cycles and faster PR merges.
k6 load test generation, Terraform plan analysiss auto-generated from Zod schemas and function signatures — QA phase starts with strong coverage.
Combined AI acceleration across all phases consistently cuts total delivery timelines by 25–35% without scope compromise.
Inline Terraform AWS provider completion, CDK construct suggestions, IAM policy JSON generation, and CloudWatch query writing. Every engineer's daily driver for AWS infrastructure work.
AI generates Terraform resource blocks, IAM policy JSON, CloudFormation templates, and GitHub Actions workflows for AWS deployments — 50% of infrastructure scaffolding done before the first terraform apply, reviewed by a certified AWS engineer.
AWS architecture decision records, runbooks, and Well-Architected pillar documentation auto-generated from Terraform state and AWS resource metadata — always in sync with the deployed infrastructure.
AI-assisted Trivy and Security Hub findings triage surfaces container CVEs and IAM policy misconfigurations with remediation suggestions — engineers review every finding before merging. Shift-left security for every AWS deployment.
All AI-generated Terraform and CDK code is reviewed, tested, and owned by a named Ahex engineer before it ships. We use AI to move faster — not to skip the Well-Architected review or compromise IAM least-privilege.
Every team building on AWS hits these sooner or later. These are the problems our engineers diagnose repeatedly and know how to prevent from sprint zero.
Problem
The AWS bill jumped from $800 to $3,400 this month. Cost Explorer shows the increase is in data transfer charges. The team does not understand what changed, which service is sending data cross-AZ, and how to bring the bill back under control without breaking the application.
Solution
Ahex audits Cost Explorer per-service, identifies cross-AZ NAT Gateway data transfer as the culprit — EC2 instances in private subnets were routing S3 and DynamoDB traffic via NAT Gateway rather than VPC endpoints. Adding VPC endpoints eliminates the NAT Gateway cost and cuts the bill to $820 the following month.
Problem
A Security Hub finding shows the RDS instance has a public IP and its security group allows inbound 5432 from 0.0.0.0/0. The database has been publicly reachable since the team first deployed it six months ago. The connection string is in the application .env committed to the repository.
Solution
Ahex modifies the RDS instance to disable public accessibility, moves it to an isolated subnet, restricts the security group to the ECS task security group only, rotates credentials via Secrets Manager, removes the plaintext .env from Git history, and adds an AWS Config rule to block future publicly-accessible RDS creation.
Problem
The API runs on Lambda behind API Gateway. P99 latency is 4.2 seconds. CloudWatch shows the slow requests are Lambda cold starts — the Node.js bundle is 45MB and the function initialises a full ORM, three SDK clients, and reads from Secrets Manager on every cold start.
Solution
Ahex reduces the Lambda bundle to 3.8MB with tree-shaking and esbuild, moves SDK client initialisation outside the handler, adds a Lambda SnapStart configuration for Java or Provisioned Concurrency for Node.js, and caches Secrets Manager values with a 5-minute TTL — P99 drops from 4.2s to 180ms.
Problem
ECS Fargate tasks are starting, failing the ALB health check after 30 seconds, being marked unhealthy, and being replaced — in a continuous crash loop. The service has been stuck at 0 running tasks for 2 hours. The team cannot SSH into Fargate to debug and CloudWatch logs show the app is crashing on startup.
Solution
Ahex reads the CloudWatch task stop reason and stopped task logs — the container is crashing because the DATABASE_URL environment variable is referencing a Secrets Manager ARN instead of the resolved secret value. The ECS task execution role is missing secretsmanager:GetSecretValue permission. IAM fix resolves the crash loop immediately.
Problem
The AWS account was built by clicking through the console over 18 months. There is no Terraform code — 60+ resources across EC2, RDS, security groups, IAM roles, and S3 buckets all created manually. The team cannot reproduce the environment and is afraid to make changes because nothing is documented.
Solution
Ahex uses the AWS API and Terraform import workflow to reverse-engineer all existing resources into Terraform state, writes the complete .tf code representing the current infrastructure, validates it with terraform plan showing zero drift, and adds a GitHub Actions pipeline — all future changes are reviewed pull requests, not console clicks.
Problem
Under a load test of 500 concurrent users, the RDS PostgreSQL instance returns "too many connections" errors. The ECS service has 10 tasks, each opening a direct connection pool of 20 — 200 total connections hitting an RDS db.t3.medium with a max_connections of 170. The application throws 500 errors for every database query.
Solution
Ahex deploys RDS Proxy in front of the RDS instance — RDS Proxy maintains a pool of up to 66% of max_connections and multiplexes ECS task connections through it. The application now supports 1,000+ ECS tasks through 100 RDS Proxy connections, and failover to the Multi-AZ standby is now under 20 seconds rather than 60.
Six solution types where our AWS engineers have deep, repeated delivery experience — every stack listed is what we shipped in production in the last 18 months.
Containerised Node.js, Python, and Java applications on ECS Fargate and EKS — multi-AZ, ALB, auto-scaling, and ArgoCD GitOps. SPAs with strict tsconfig, generics-first component design, typed state management (NgRx / Zustand), and Zod-validated API layers across the UI.
Fully typed REST and GraphQL APIs with NestJS dependency injection, Prisma typed models, Zod request validation middleware, and tRPC for end-to-end type safety.
Multi-package monorepos with shared @company/types, shared tsconfig bases, ESLint boundary rules, and Nx affected builds that cut CI time by ~60%.
VM import, DMS database migration, and S3 data transfer migrations using allowJs incremental strategy, type-coverage audits, any-elimination phases, and strict mode graduation — production stays deployable throughout.
Event-driven Lambda microservices with API Gateway, SQS, Step Functions, and EventBridge. AWS Lambda and Vercel Lambda + SQS + DynamoDB patterns for high-throughput, low-latency event processing — Zod-validated payloads, and cold-start optimised bundles under 1MB.
AWS Well-Architected Tool assessments, Cost Explorer rightsizing, Savings Plans, and Reserved Instance analysis with shared types in a monorepo, single CI/CD pipeline, tRPC or OpenAPI contracts, and one team owning the entire stack from DB to UI.
The following are the industry standards and compliance that we align AWS with. Our team ensures that these are built into the markup from sprint one only.
AI accessibility scanning flags WCAG violations in real time during development — not post-launch in an audit.
Section 508 for the USA. An U.S. federal accessibility standard that requires government agencies and their digital services to be accessible to people with disabilities.
A U.S. civil rights law. It promotes the idea that people with disabilities should also have equal access. Its web accessibility requirements encourage businesses to provide inclusive online experiences.
Standards that help websites collect user data transparently. Supports GDPR and CCPA. Gives users control over their data.
W3C AWS Validation ensures that the AWS development follows official web standards. It must improve compatibility with browsers, reliability, and overall user experience.
Standardized format that helps search engines understand content on the webpages. Improves SEO and crawlability.
We deploy and manage AWS infrastructure for product companies across all major verticals — from healthcare typed APIs to fintech platforms, logistics systems to SaaS products. Click an industry to explore what we've delivered.
Our solutions for healthcare and fitness focus on developing user-friendly interfaces for fitness apps, appointment scheduling systems, and health tracking platforms, ensuring secure and efficient data management.
We help real estate companies build immersive property listings, interactive maps, and responsive websites that streamline property searches and improve customer engagement.
Our front end services help automotive and manufacturing companies build robust applications for managing inventory, tracking production, and enhancing customer engagement through intuitive interfaces.
We deliver secure and compliant front-end solutions for financial institutions, enhancing user experience through intuitive dashboards, transaction management systems, and mobile banking apps.
Our frontend development services for tourism and hospitality focus on creating interactive maps, virtual tours, and streamlined booking interfaces that enhance the customer journey from discovery to booking.
We help media and entertainment companies build intuitive systems for content delivery and consumption, including real-time single-page applications and personalized content recommendations that keep audiences engaged.
Our expertise extends to creating modern, scalable front-ends for software applications, ensuring fast performance, intuitive navigation, and seamless integration with backend systems.
We empower e-commerce platforms with seamless checkout processes, intuitive product navigation, and responsive designs that boost sales and customer satisfaction.
Our front-end services for education include developing interactive learning platforms, online course management systems, and student portals that enhance engagement and accessibility.
Known for building innovative technology solutions across diverse industries, we’ve received multiple awards and recognitions from top B2B platforms.
Clutch 1000 Company – 2025
Recognized by Clutch among the top 1000 global companies for excellence in service and delivery in 2025
Clutch Global Award Winner – Fall 2024
Awarded by Clutch as a Global Leader for outstanding performance and client satisfaction in Fall 2024
Clutch Global Award Winner – Spring 2024
Recognized by Clutch as a Global Leader for delivering high-quality solutions and consistent client success in Spring 2024
Clutch Champion – Fall 2024
Honored by Clutch as a Champion for sustained excellence, industry leadership, and exceptional client feedback in Fall 2024
Clutch Champion – Spring 2024
Honored by Clutch as a Champion for sustained excellence, industry leadership, and exceptional client feedback in Fall 2024
Ahex built MaybeAtHome's full-stack property platform — from Angular 6 + Laravel MVP to a modern Angular 20 rebuild. Features AI-powered NLP voice search (French, English, German, Spanish), AR/VR virtual property tours, real-time chat, meeting scheduler, and a mobile app covering all European cities with multi-language support.
Book a free scoping call with a senior AWS engineer. We'll review your architecture, tsconfig, and Zod coverage — and give you an honest migration or architecture recommendation. No upselling, no sales pitch.
The frontend is the first thing users see. They interact with it on mobile apps, software, and websites. Because of
Frontend development is undergoing a transformation and it’s not just about new frameworks or fancier animations. It’s about AI in
Build, deploy, and scale modern applications on DigitalOcean with flexible cloud infrastructure, managed databases, scalable compute, storage, and efficient deployment solutions designed for performance and cost efficiency.
Leverage Google Cloud to build, migrate, and scale secure applications using cloud infrastructure, managed services, data platforms, AI capabilities, and modern cloud-native technologies.
Build, migrate, and modernize applications on Microsoft Azure with scalable infrastructure, cloud-native services, data solutions, AI capabilities, and secure enterprise cloud environments.
Deploy and scale modern web applications with Vercel's frontend cloud platform, leveraging edge delivery, serverless functions, automated deployments, and performance optimization.
Accelerate software delivery with DevOps consulting, CI/CD automation, infrastructure as code, containerization, cloud infrastructure, monitoring, and deployment solutions. Build reliable, scalable delivery pipelines while improving development efficiency and reducing operational complexity.
Yes — it’s the explicit choice of enterprise engineering teams at NASA, Netflix, Airbnb, BMW, Samsung, and the UK Government. AWS’s compliance portfolio, global infrastructure, and managed service breadth make large multi-team codebases safe to refactor and extend. For smaller utility scripts plain JavaScript may be fine, but anything long-lived and architectures benefit enormously from AWS.
Any project with more than one developer, more than a few weeks of lifetime, or regulated industries requiring compliance certifications, enterprise deployments needing multi-region HA, government and defence workloads, and complex microservices architectures. AWS is the default for enterprise procurement and regulated-industry RFPs. Prisma, tRPC, and Next.js — it’s the natural choice for the modern JavaScript ecosystem rather than an add-on.
We configure a CI type-check gate (tsc –noEmit) that blocks any PR introducing type errors, activate @typescript-eslint/no-explicit-any and @typescript-eslint/ban-ts-comment to prevent suppressions, and run a type-coverage threshold check on every build. Strictness is enforced by the CI pipeline, not by convention or code review alone.
By default, yes — strict:true enables strictNullChecks, noImplicitAny, strictFunctionTypes, and several other critical checks simultaneously. If you have a legacy codebase where strict mode can’t be enabled immediately, we use an incremental approach — enabling individual flags one at a time and graduating to full strict over sprints.
Typically 3–12 weeks depending on codebase size, existing test coverage, and strictness targets. We use an incremental allowJs strategy — your project stays deployable throughout, never blocked on a big-bang branch. Most production codebases see zero runtime regressions after our migration.
We start with a discovery call to understand your application stack, compliance requirements, traffic patterns, and current cloud costs. We then propose an engagement model — fixed budget, dedicated team, or time & material — and move into type architecture design, iterative build or migration sprints, and a documented handover with type coverage report.
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