With over 11 years of experience in frontend engineering and cloud infrastructure, Ahex Technologies is a renowned name in Vercel hosting and deployment. We have established ourselves as experts in Vercel β delivering Next.js deployments on the Vercel Edge Network, ISR and SSR configuration, serverless and Edge Function architecture, Preview Deployment pipelines, monorepo deployments with Turborepo, custom domain and SSL setup, environment variable management, Web Analytics and Speed Insights integration, Vercel Postgres and Blob storage, and full migration from AWS Amplify, Netlify, Heroku, and traditional server hosting to Vercel. Our engineers translate complex frontend and full-stack deployment requirements into zero-downtime, globally-distributed, CI/CD-automated Vercel pipelines that ship faster and cost less to operate at scale.
100+ PoPs globally β sub-50ms TTFB worldwide
Every PR gets a live preview URL automatically
Zero cold-start Edge Runtime Β· API Routes
Core Web Vitals β LCP, INP, CLS per route
"Ahex migrated our entire frontend from a DigitalOcean droplet running a custom Node.js server to Vercel in two weeks β deploy time went from 18 minutes to 38 seconds, our global TTFB dropped from 1.4 seconds to 61ms, and the team ships with complete confidence because every PR has a live preview URL. Best infrastructure decision we've made."
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Ahex Technologies is your go-to partner for enterprise Vercel hosting. With deep expertise in Vercel project configuration, Next.js rendering strategy (SSG, SSR, ISR, PPR), Vercel Edge Network architecture, Edge and Serverless Function deployment, Preview Deployment pipeline setup for design review and QA, monorepo deployments with Turborepo on Vercel, custom domain and SSL configuration, environment variable management across preview and production, Vercel Postgres and KV and Blob storage, Web Analytics and Speed Insights for Core Web Vitals monitoring per route, and full migration from AWS Amplify, Netlify, Heroku, Railway, Fly.io, and traditional NGINX/Apache server hosting to Vercel β we configure Vercel deployments that are fast, globally distributed, and automated from the first git push to production.
Our Vercel services span the full deployment lifecycle β from greenfield Next.js project setup and CI/CD pipeline configuration to production performance tuning, monorepo workspace management, cost optimisation on Vercel Pro and Enterprise plans, and dedicated Vercel platform engineers embedded in your organisation. Whether you need a zero-downtime migration from your existing hosting, a Next.js rendering strategy audit that cuts your TTFB by 80%, a Preview Deployment workflow your design team actually uses, or a serverless function architecture that eliminates your backend server costs β our Vercel-certified engineers deliver deployments that ship faster and scale without infrastructure management.

Vercel is the platform that Next.js teams, design agencies, and SaaS companies ship on when they want to go from git push to globally distributed production in under 60 seconds. Built by the creators of Next.js, Vercel powers Airbnb, Patreon, Under Armour, TikTok, and Washington Post β providing the Edge Network, Preview Deployments, serverless function infrastructure, and observability tooling that eliminates the operational overhead of managing frontend infrastructure so engineering teams can focus exclusively on shipping product.
The deployment platform for Airbnb, Patreon, TikTok, Under Armour, and Washington Post β and the infrastructure choice for frontend teams and SaaS companies that want to ship to a global CDN in under 60 seconds with zero server management overhead.
From Next.js deployment setup and rendering strategy to Preview Deployments, Edge Functions, monorepo CI/CD, Vercel storage, and migration from AWS Amplify, Netlify, or self-hosted servers.
Greenfield Next.js project setup on Vercel β App Router or Pages Router configuration, framework preset selection, build command and output directory configuration, environment variable setup across preview and production environments, and automatic GitHub/GitLab/Bitbucket integration with branch deployments.
App Router deployment β React Server Components, streaming, and parallel routes on Vercel
Environment variables β preview vs production separation with encrypted secrets
Custom domains β apex domain, www redirect, and multi-domain configuration with SSL
Build optimisation β output: export for static, standalone for Docker-compatible builds
Vercel project settings β regions, function timeout, memory, and spend protection configured
Next.js rendering strategy audit and configuration β choosing the correct render mode per route (static generation, server-side rendering, incremental static regeneration, partial pre-rendering) to optimise for TTFB, SEO, and data freshness simultaneously, without over-engineering the architecture.
SSG β generateStaticParams for fully static routes served from Edge CDN
ISR β revalidate intervals per route for static speed with background data refresh
SSR β dynamic rendering for personalised or auth-gated routes
PPR (Partial Pre-Rendering) β static shell with dynamic Suspense boundaries (Next.js 14+)
Vercel serverless and Edge Function architecture β API Routes for Node.js serverless functions, Edge Runtime for zero-cold-start middleware, route segment config for per-function runtime selection, and function timeout and memory configuration for long-running workloads on Vercel Pro and Enterprise.
Edge Runtime β V8 isolates, zero cold start, <1ms execution at 100+ PoPs globally
Next.js middleware β auth, geolocation redirect, A/B test bucketing at the edge
Fluid compute β functions that scale from zero and run server-side rendering efficiently
Function regions β maxDuration and memory configured per route for long-running jobs
Preview Deployment workflow setup β automatic preview URL on every PR branch, Vercel GitHub/GitLab integration with deployment status checks, comment bot posting the preview URL directly in the PR, staging environment separation, and password-protected previews for client review workflows.
Branch deployments β every git push to a non-main branch creates a unique preview URL
GitHub PR checks β Vercel deployment status blocks merge until build passes
Password protection β preview deployments protected for client review before launch
Environment separation β preview vs production env vars with different API keys and database URLs
Vercel-native storage setup β Vercel Postgres (powered by Neon, serverless PostgreSQL), Vercel KV (powered by Upstash Redis for session, rate-limiting, and cache), Vercel Blob for user-uploaded file storage, and Vercel AI SDK integration with streaming responses from OpenAI, Anthropic, and Google Gemini.
Vercel Postgres β serverless PostgreSQL with connection pooling, branching per Preview Deployment
Vercel KV β Redis-backed key-value store for session, rate-limiting, and caching
Vercel Blob β S3-compatible object storage for images, PDFs, and user uploads
React Hook Form + Zod resolver integration
Full migration to Vercel from AWS Amplify, Netlify, Heroku, Railway, Fly.io, Render, and traditional NGINX/Apache self-hosted servers β zero-downtime DNS cutover, environment variable migration, custom domain transfer, and production smoke testing before the old hosting is decommissioned.
AWS Amplify β Vercel β build configuration migration, env var transfer, CloudFront DNS cutover
Netlify β Vercel β redirect rules, split testing, and form handling equivalent migration
Heroku / Render / Railway β Vercel β serverless function rewrite for dyno-based backends
Self-hosted NGINX β Vercel β zero-downtime DNS cutover with instant rollback capability
Vercel performance tuning engagement β Speed Insights CWV audit per route, ISR revalidate interval optimisation, bundle size analysis with @next/bundle-analyzer, image optimisation with next/image, Edge Function cold-start elimination, and font loading strategy (next/font with display:swap).
CWV audit β LCP, INP, CLS root-cause analysis per route via Speed Insights
Bundle analysis β @next/bundle-analyzer identifies oversized chunks and duplicate dependencies
Image optimisation β next/image with lazy loading, srcset, and WebP/AVIF format delivery
Turnaround: full Vercel performance audit report in 5β7 days
Turborepo monorepo setup on Vercel β multiple apps deployed from a single repository, shared package pipelines, Vercel Remote Caching (eliminating redundant builds across CI and local), and per-package environment variable configuration with Vercel's project linking.
Turborepo pipeline β build, lint, test tasks with correct dependency ordering
Vercel Remote Cache β shared build cache across CI, local dev, and Vercel build workers
Per-app Vercel projects β each app in the monorepo deploys independently with its own domain
Package filtering β only affected packages rebuild on each PR via Turborepo prune
At Ahex Technologies, we don’t just write code β we own outcomes. From type architecture to post-launch monitoring, our Vercel platform team is your end-to-end deployment partner β responsive, transparent, and accountable.
3β5 days to onboard your dedicated Vercel platform engineer
Senior Vercel platform engineer β Next.js App Router, ISR/SSR/Edge, Turborepo, Vercel Postgres, Speed Insights, security headers, and full production deployment managemental types
Direct Slack access to your actual engineer β no account managers
Named, consistent developer β no bait-and-switch
Full code ownership from day one β no lock-in
Timezone-aligned β UK, UAE, and US hours coverage
2-week replacement guarantee if it's not the right fit
The following are the Vercel security controls, deployment quality standards, and platform hardening configurations Ahex applies on every engagement β before the first production domain is pointed at Vercel.
Every Vercel engagement Ahex delivers configures Spend Protection before the first production deployment β monthly budget caps, spending alerts at 80% of budget, and deployment frequency limits to prevent runaway costs from unexpected traffic spikes or misconfigured ISR revalidation loops. No client receives an unexpected Vercel bill. (prev: no implicit any, no unsafe assignments, no unchecked indexed access.
Vercel Environment Variables encrypted at rest and injected at build time β never exposed in client bundles. NEXT_PUBLIC_ prefix audited to ensure only genuinely public values are client-accessible. Sensitive keys (database connection strings, API secrets, Stripe keys) scoped to Production only β never available in Preview deployments that external collaborators can access.
Vercel Web Application Firewall (WAF) configured on Enterprise plans β DDoS mitigation, rate limiting on API Routes, bot detection, and IP allowlisting for admin-only endpoints. Edge Middleware handles authentication before requests reach origin functions β unauthenticated requests are redirected at the network edge without consuming serverless function invocations.
Preview Deployment access control β password protection on all Preview URLs prevents external access to pre-release features, unreleased content, and staging credentials. Vercel Teams configuration audited for viewer/developer/owner role assignments β principle of least privilege applied to every team member's Vercel access level.
Custom security headers configured in next.config.js β Content-Security-Policy, Strict-Transport-Security (HSTS with preload), X-Frame-Options (DENY), X-Content-Type-Options (nosniff), Referrer-Policy, and Permissions-Policy. Headers applied globally via Next.js headers configuration and verified via Security Headers scan on every engagement.
Vercel deployment protection β Production branch locked to main/master, with required PR checks (build passing, type-check gate, Lighthouse CI threshold) before any deployment reaches the production domain. Instant Rollback configured β a single CLI command or dashboard click reverts production to the previous deployment in under 10 seconds.
Our Vercel engineers configure deployments that meet regulatory requirements across healthcare, finance, and data privacy β a typed codebase is also an auditable one.
PHI is never written to Vercel function logs β structured logging libraries strip PHI fields before the log line is emitted. Vercel Enterprise supports Business Associate Agreements (BAA) for HIPAA-covered deployments. Environment variables containing PHI-adjacent configuration (database connection strings, API keys for PHI systems) are scoped to Production only β never available in Preview deployments that external collaborators can access, separating PHI from non-sensitive data at the type level β 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 β enforced by the compiler, not just policy.
Vercel Web Analytics is privacy-first by design β no cookies, no cross-site tracking, GDPR-compliant without a cookie consent banner. PII is never collected by Vercel Analytics. Speed Insights real-user data is anonymised at collection β no user IDs, no IP addresses, no session linking. PII in serverless function request bodies is never logged. Production logs are separated from data models β accidental exposure of personal data caught before runtime in production.
Typed event schemas ensure every audit log entry has a known, validated shape β no untyped JSON blobs in the compliance trail.
CSP, HSTS, X-Frame-Options, X-Content-Type-Options, and Permissions-Policy configured in next.config.js. Vercel WAF (Enterprise) adds DDoS mitigation, bot blocking, and rate limiting at the edge β OWASP Top 10 protections applied before requests reach application code.
No cardholder data processed in Vercel serverless functions β Stripe.js handles card capture client-side, with Stripe webhooks verified server-side via webhook signature validation. Vercel environment variables store Stripe secret keys scoped to Production only. Payment-related API Routes rate-limited via Edge Middleware before reaching the serverless function layer.
Every Vercel production deployment gated behind required checks β type-check (tsc --noEmit), Lighthouse CI performance threshold, unit test pass rate, and build size budget. No deployment reaches the production domain unless all gates pass. Instant Rollback tested monthly β rollback time documented and verified against a defined RTO.
Vercel environment variables audited for NEXT_PUBLIC_ exposure β only genuinely public values accessible client-side. Production-only secrets scoped to Production environment and never available in Preview. Sensitive values rotated in Vercel dashboard on a defined schedule. Environment variable names and expected values documented in the project runbook.
Core Web Vitals SLAs defined per route β LCP < 2.5s, INP < 200ms, CLS < 0.1 β monitored continuously via Vercel Speed Insights real-user data. Alerts configured when any primary route drops below the "Good" threshold. Quarterly CWV review delivered to client as a performance report.
From Next.js and Turborepo to Vercel Postgres, Edge Functions, Speed Insights, Vercel WAF, and Vercel AI SDK β every tool our Vercel team uses daily on production deployments.
Vercel core platform
Supported frontend frameworks
Function runtime and edge compute
Platform-native storage primitives
Build pipelines and workspace tooling
Performance and user monitoring
Platform hardening and performance
Getting typed code to production
We deploy on all four. We give honest advice β including recommending AWS Amplify when clients are already deeply invested in the AWS ecosystem, Netlify when form handling and split testing are primary requirements, and self-hosted infrastructure when regulatory data residency requirements rule out cloud SaaS platforms.
| Criteria | Vercel | Netlify | AWS Amplify / Self-Hosted |
|---|---|---|---|
| Next.js native support | First-class β Vercel is built by the Next.js team. App Router, ISR, PPR, Edge Runtime, and every new Next.js feature is supported on day one of release, often before the stable release | Good β Next.js supported but advanced features (PPR, Fluid Compute) lag behind Vercel by one or more major releases | AWS Amplify: Next.js support is always behind, with known issues on major App Router features; Self-hosted: full control but manual configuration required for every Next.js feature |
| Preview Deployments | Instant β every git push to any branch creates a unique preview URL in under 60 seconds; PR comments with deployment links; password protection; team sharing | Good β Deploy Previews on every PR with PR comments; comparable feature set but slower build times on cold starts | AWS Amplify: branch deployments supported; Self-hosted: requires custom CI/CD (GitHub Actions + S3/EC2) β significant setup overhead per environment |
| Edge Network & global TTFB | 100+ global PoPs β sub-50ms TTFB for static and ISR content worldwide; Edge Functions execute at the closest PoP to the user with zero cold start | Netlify Edge Network β comparable global coverage; Netlify Edge Functions also V8-based with no cold start; slightly smaller PoP footprint than Vercel | AWS Amplify: backed by CloudFront (400+ PoPs) β superior raw CDN footprint, but requires CloudFront configuration; Self-hosted: single-region unless manually multi-region with Route53 |
| Pricing model | Hobby (free) β Pro ($20/seat/month) β Enterprise. Pricing based on build minutes, bandwidth, serverless function invocations, and Edge Function duration β predictable for typical Next.js SaaS workloads on Pro | Free β Pro ($19/seat/month) β Enterprise. Similar pricing structure to Vercel; form submissions and split testing included at no extra cost on Pro vs Vercel's add-on pricing | AWS Amplify: AWS compute pricing β can be cheaper at high scale but unpredictable; Self-hosted: DigitalOcean/Hetzner significantly cheaper at scale but operational overhead is real |
| Observability | Speed Insights (CWV per route from real users), Web Analytics (privacy-first, no cookie banner), Logs (function and build logs), Monitoring (alerts on error rate and p95 latency) β all native, no third-party integration required | Analytics available but less integrated than Vercel; Datadog and Sentry integrations supported | AWS Amplify: CloudWatch for logs; requires Datadog/New Relic for real-user performance; Self-hosted: full control β Prometheus, Grafana, Sentry all possible but require setup and maintenance |
| Ahex recommendation | Best for: Next.js applications (any scale), teams that want Preview Deployments as a workflow, SaaS products on Vercel Postgres + KV, and organisations that want the fastest possible time-to-production with zero infrastructure management overhead | Best for: JAMstack sites with heavy form usage (Netlify Forms), split testing requirements (Netlify A/B), or teams migrating from Netlify who want to avoid re-platforming | AWS Amplify: organisations already on AWS with existing IAM, VPC, and CloudFront infrastructure; Self-hosted: regulated industries with data residency requirements or very high bandwidth workloads where cloud egress pricing is prohibitive |
| Refactoring safety | Excellent β rename catches all usages | Risky β no static analysis | Good β better than JS, less than TS |
| Production bug reduction | ~40% fewer type-related bugs (strict) | Baseline | ~15% reduction (lenient) |
A Vercel-specific engagement process β deployment configuration and performance baseline captured before any migration begins. Rendering strategy documented before a single route is rewritten. Preview Deployment pipeline live before the client review phase. Production go-live with instant rollback configured and tested. Zero infrastructure surprises at every phase, production from day one of compiler config defined before a single component is built. Safety enforced from sprint zero, not patched in retrospect.
Current hosting audit β build time, deploy pipeline, TTFB by region, Core Web Vitals via PageSpeed Insights, serverless function usage, environment variable inventory, and domain/SSL configuration. Delivered as a written assessment report with Vercel migration plan before engagement work begins.
Vercel project creation β framework preset, build command, output directory, root directory (monorepo), environment variables (preview vs production scoped), custom domain configuration, SSL certificate provisioning, Spend Protection limits, and Git integration with branch deployment rules.
Per-route rendering strategy β SSG for marketing pages, ISR for content-heavy routes (blog, product catalogue), SSR for personalised or auth-gated routes, Edge Functions for middleware and auth. Preview Deployment pipeline live β every PR gets a unique URL, GitHub PR comments enabled, password protection configured for client review.
next/image for WebP/AVIF delivery, next/font with display:swap, @next/bundle-analyzer to identify oversized chunks, security headers in next.config.js (CSP, HSTS, X-Frame-Options), WAF configuration (Enterprise), deployment protection rules, Instant Rollback tested, and Vercel Speed Insights enabled for real-user CWV tracking.
Preview Deployment smoke test on all routes. Playwright E2E on the Preview URL before production promotion. Lighthouse CI against Preview URL β LCP, INP, CLS thresholds enforced. k6 load test on API Routes for serverless function performance. DNS cutover plan documented β zero-downtime migration with TTL pre-reduction and instant rollback ready.
Vercel Speed Insights CWV monitoring per route. Vercel Web Analytics for privacy-first usage tracking. Monthly build time and function invocation cost review against Spend Protection budget. Quarterly Instant Rollback drill. Named Vercel platform engineer on Slack for P1 deployment incidents. Monthly performance report delivered to client.
All models include Vercel project audit report, rendering strategy documentation, Preview Deployment pipeline, security headers, Speed Insights setup, Spend Protection configuration, named Vercel platform engineers, and full 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 β and your production systems will have faster deploys, better Core Web Vitals, and zero infrastructure management overhead β when Vercel is configured correctly from the start.
Ahex configures Vercel so that every git push to main triggers an automatic production deployment β build, optimise, distribute globally, and go live β in under 60 seconds. No SSH, no deployment scripts, no manually invalidating a CDN cache, no watching a Jenkins pipeline from a laptop. The team pushes code; Vercel handles the rest.
Every PR gets a live, production-equivalent Vercel Preview Deployment in under 60 seconds β designers review real deployments, QA tests the actual build, and product managers sign off on live previews before merge. The entire "it looked fine in staging" class of production regression is structurally eliminated because Preview Deployments run the identical build configuration as production.
Vercel's Instant Rollback reverts production to the previous deployment with a single dashboard click or vercel rollback CLI command β no git revert, no re-deploy, no 10-minute pipeline. Ahex tests the rollback on every engagement before launch day and documents the rollback procedure in the project runbook. Every production deployment ships with a tested escape hatch.
Vercel Speed Insights collects LCP, INP, and CLS from real user sessions per route β not Lighthouse lab runs from a single location. Ahex configures Speed Insights on every engagement and sets up CWV alerts so the team knows when a route drops below the "Good" threshold before it affects Google Search ranking. Per-route real-user data is the only performance metric that matters.
Vercel's Edge Network serves static assets, ISR pages, and Edge Function responses from the closest of 100+ global Points of Presence β automatically. No CloudFront distribution to configure, no cache behaviour rules, no origin group to manage, no TTL to set. Every Vercel deployment is globally distributed on git push. Ahex configures ISR revalidation intervals per route to give every page static CDN speed with dynamic content freshness.
Ahex provisions Vercel Postgres (Neon-backed serverless PostgreSQL with connection pooling), Vercel KV (Upstash Redis for session and rate-limiting), and Vercel Blob (S3-compatible object storage for uploads) β all managed from the Vercel dashboard, scoped to the project, and linked to Preview Deployments automatically. No separate AWS or GCP account required. Vercel Postgres even branches per Preview Deployment on Neon β database isolation in the CI pipeline.
Ahex configures Turborepo with Vercel Remote Cache on every monorepo engagement β build artifacts are cached across CI runs, local development, and Vercel's build workers. Only affected packages rebuild on each PR. Teams running Turborepo monorepos without Remote Cache typically see 8β12 minute CI runs; with Remote Cache and correct pipeline configuration, the same run takes 90β120 seconds. The CI cost reduction alone frequently covers the Vercel Pro subscription.
Ahex has delivered Vercel hosting engagements for clients in the UK, UAE, USA, and Australia across SaaS, e-commerce, FinTech, media, and public sector. Our Vercel engineers work in IST timezone with 4β6 hour overlap with UK and UAE business hours β deployment reviews, architecture calls, and P1 production deployment incidents all handled in your working hours.
Our Vercel engineers use AI-powered tools across every phase β from type migration to test generation β 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 β saving 2β3 days per migration sprint.
AI-assisted code review flags unsafe type patterns, missing return types, and any-cast misuse before human review β fewer back-and-forth cycles and faster PR merges.
Next.js rendering strategy configuration, Vercel project setup, and Edge Functions auto-generated from Zod schemas and function signatures β QA phase starts with strong coverage.
Combined AI acceleration across all phases consistently cuts total delivery timelines by 25β35% without scope compromise.
Next.js configuration generation from deployment requirements, Vercel project JSON scaffolding, Edge Middleware logic generation, and ISR revalidation strategy recommendation from traffic pattern analysis. Every Ahex Vercel engineer uses GitHub Copilot with Next.js and Vercel context β all AI-generated configuration is reviewed, tested in Preview Deployments, and verified against Lighthouse CI before production promotion.
AI accelerates Vercel project configuration generation from requirements documents, security header policy generation from CSP directives, and next.config.js optimisation recommendations from bundle analysis output β 50% of configuration boilerplate produced before implementation sprint, reviewed by a senior Vercel engineer on every project.
Vercel deployment audit reports, rendering strategy rationale, Edge Function architecture documentation, monorepo pipeline configuration runbooks, and performance tuning reports auto-generated from Vercel project data, Speed Insights CWV metrics, and bundle analyser output β always in sync with the actual production deployment state.
AI-assisted bundle analysis interpretation β @next/bundle-analyzer output parsed to surface oversized chunks, duplicate dependencies, and client-side bundle size regressions with next.config.js and import optimisation fix suggestions. Vercel engineers verify every recommendation in a Preview Deployment before production. Shift-left performance on every Vercel project.AI-assisted bundle analysis interpretation β @next/bundle-analyzer output parsed to surface oversized chunks, duplicate dependencies, and client-side bundle size regressions with next.config.js and import optimisation fix suggestions. Vercel engineers verify every recommendation in a Preview Deployment before production. Shift-left performance on every Vercel project.
All AI-generated Vercel configuration, Next.js ISR strategy, Edge Middleware logic, security header policies, and Turborepo pipeline configuration is reviewed, tested in a Preview Deployment, and owned by a named Ahex Vercel Ahex engineer before it ships. We use AI to move faster β not to skip the pre-migration audit, bypass the Preview Deployment validation phase, or push to production without Instant Rollback configured and tested.
Every team deploying on Vercel hits these sooner or later. These are the problems our engineers diagnose repeatedly and know how to prevent from sprint zero.
Problem
A Next.js SaaS product deployed on a self-managed DigitalOcean droplet has an 18-minute deploy pipeline: GitHub Actions builds the Docker image (11 min), pushes to ECR (3 min), SSH into the droplet and pulls the new image (2 min), restarts PM2 (1 min), and manually invalidates the CloudFront cache (1 min). Engineers have started batching changes to avoid the deploy overhead β meaning features sit unreleased for days waiting for a "big enough" batch to justify the pipeline cost. Hotfixes are a 25-minute incident because the build is serialised.
Solution
Ahex migrates the application to Vercel β git integration configured to trigger on main branch push. The same Next.js build that took 11 minutes on GitHub Actions takes 38 seconds on Vercel's optimised build infrastructure with incremental build caching. Global distribution replaces manual CloudFront invalidation. Instant Rollback replaces the manual PM2 restart procedure. Post-migration: engineers deploy 4β6 times per day instead of once per week. Hotfixes go live in under 2 minutes.
Problem
A Next.js marketing site is deployed on a single eu-west-1 AWS Amplify instance. Users in the UAE, Australia, and USA experience 1.2β1.8 second TTFB because every request β including for fully static pages with no personalisation β travels to Ireland to be served. Google PageSpeed Insights shows "Poor" for LCP across all non-European geographies. The organic search ranking for the application's primary keywords has declined 18 positions over six months.
Solution
Ahex audits the rendering strategy β all marketing pages are convertible to SSG with ISR for content updates. The site is migrated to Vercel. Static pages are distributed globally across 100+ Edge Network PoPs β Dubai users now receive the page from a PoP 8ms away instead of 180ms away. TTFB drops from an average of 1.4 seconds to 61ms globally. LCP improves from 4.2 seconds to 1.1 seconds. The site returns to page 1 in organic search within 8 weeks of migration.
Problem
A Next.js e-commerce site migrated to Vercel Pro experiences a normal first month ($42). In month two, a content editor sets ISR revalidate to 0 on 50,000 product pages β effectively converting them all to SSR. A traffic spike from a promotional email triggers 2.3 million serverless function invocations in 48 hours. The Vercel bill for the month is $3,800. No spend protection was configured. The team discovers the bill at the end of the month.
Solution
Ahex configures Vercel Spend Protection β a monthly budget cap with email alerts at 50% and 80% of budget. ISR revalidation intervals are documented and locked at the route config level (not via CMS settings that editors can modify). Product pages are converted to ISR with revalidate: 60 β serving static CDN responses for the vast majority of traffic. Going forward: peak traffic events consume negligible additional Vercel spend because 99% of product page requests are served from the Edge cache. The following month's bill is $44.
Problem
A Next.js SaaS application on Vercel deploys a database migration alongside a new API Route. The migration runs on the new deployment but the old deployment's API Routes (which Vercel keeps briefly active during traffic shifting) hit the migrated schema and throw 500 errors. The on-call engineer attempts to roll back via git revert β a new PR, a new commit, a new build β which takes 9 minutes while the production application is partially broken. No one on the team knows that Vercel has an Instant Rollback feature.
Solution
Ahex documents and tests the Instant Rollback procedure during the engagement handoff β the rollback runbook is in the project's Notion page and the Vercel CLI command (vercel rollback) is in the team's incident response playbook. Database migrations are decoupled from application deployments using the expand-contract pattern β the schema is forward-compatible with the previous deployment before the new API Routes go live. After the rollback runbook is in place: the next production incident that requires a rollback is resolved in 12 seconds, not 9 minutes.
Problem
A Turborepo monorepo contains five Next.js applications and twelve shared packages. Every PR β even a one-line change to a single app β triggers all five Vercel projects to rebuild simultaneously. A UI library package change triggers a full rebuild of all apps even when the consuming app has no interface changes. Build minutes are consumed rapidly, Vercel Pro build concurrency limits are hit, and the Preview Deployment for the changed app is delayed 12 minutes waiting for the other four builds to finish.
Solution
Ahex configures Vercel's Ignored Build Step β a turbo run build --filter=[HEAD^1] script that causes Vercel to skip the build for any app not affected by the current commit. Only the app(s) that changed β and their downstream dependents as determined by Turborepo's dependency graph β trigger a Vercel build. Vercel Remote Cache is configured so unchanged package builds are restored from cache in seconds rather than recompiled. After configuration: a single-app PR triggers one Vercel build (not five) and the Preview Deployment is ready in 42 seconds.
Problem
A Next.js marketing site's blog has 8,000 posts. With getStaticPaths and fallback: false, the full Vercel build takes 47 minutes because all 8,000 pages are statically generated at build time on every deploy β even when only 2 posts were updated. Build minutes are exhausted, CI is blocked, and the team has started skipping Vercel deployments to avoid the build time cost.
Solution
Ahex converts the blog to ISR with On-Demand Revalidation β only the 20 most recent posts are pre-generated at build time (generateStaticParams with a slice of 20). All remaining posts are generated on first request and then cached at the edge with revalidate: 3600. A webhook from the CMS calls revalidatePath() to invalidate only the specific post that was updated β no full rebuild required. Post-migration: Vercel build time drops from 47 minutes to 38 seconds. CMS content updates appear on the live site within 5 seconds of publishing.
Six deployment scenarios where our Vercel engineers have deep, repeated delivery experience β every stack listed is what we shipped in production in the last 18 months.
Angular and React 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%.
Zero-downtime migrations using allowJs incremental strategy, type-coverage audits, any-elimination phases, and strict mode graduation β production stays deployable throughout.
AWS Lambda and Vercel Edge Middleware for auth and geolocation, API Routes for backend logic, Edge Config for feature flags, and Cron Jobs for scheduled tasks β all on Vercel without a separate server. Zod-validated payloads, and cold-start optimised bundles under 1MB.
End-to-end monorepo deployments 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 Vercel 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 β 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 Vercel Validation ensures that the Vercel 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 Next.js and frontend applications on Vercel for product companies across all major verticals β from healthcare typed APIs to fintech platforms, logistics systems to SaaS products. Click an industry to explore what we've delivered.
Healthcare and Fitness
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.
Real Estate
We help real estate companies build immersive property listings, interactive maps, and responsive websites that streamline property searches and improve customer engagement.
Automotive and Manufacturing
Our front end services help automotive and manufacturing companies build robust applications for managing inventory, tracking production, and enhancing customer engagement through intuitive interfaces.
Banking & Finance
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.
Entertainment and Media
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.
Technology and Software
Our expertise extends to creating modern, scalable front-ends for software applications, ensuring fast performance, intuitive navigation, and seamless integration with backend systems.
Retail & E-Commerce
We empower e-commerce platforms with seamless checkout processes, intuitive product navigation, and responsive designs that boost sales and customer satisfaction.
Education
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, weβve received multiple awards and recognitions from top B2B platforms.
Clutch 1000 Company β 2025
Recognized by Clutch among the top 1000 global companies for excellence in service and delivery in 2025
Clutch Global Award Winner β Fall 2024
Awarded by Clutch as a Global Leader for outstanding performance and client satisfaction in Fall 2024
Clutch Global Award Winner β Spring 2024
Recognized by Clutch as a Global Leader for delivering high-quality solutions and consistent client success in Spring 2024
Clutch Champion β Fall 2024
Honored by Clutch as a Champion for sustained excellence, industry leadership, and exceptional client feedback in Fall 2024
Clutch Champion β Spring 2024
Honored by Clutch as a Champion for sustained excellence, industry leadership, and exceptional client feedback in Fall 2024
Ahex Technologies Pvt. Ltd. developed a client-facing mobile app with geolocation features as well as an intranet portal for employees. They provide ongoing support for any updates that need to be made.
An enterprise-grade AI Voice Assistant platform designed to automate, govern, and optimize every guest interaction across single and multi-property hotel environments.
Southwest Funding is a Dallas-based mortgage lender founded in 1993 β serving 50,000+ home loans across 29 states with Conventional, FHA, VA, and USDA programs through 1,200+ licensed loan officers.
Book a free scoping call with a senior Vercel platform engineer. We'll review your current hosting setup, Next.js rendering strategy, deployment pipeline, bundle size, Core Web Vitals, and environment variable configuration β and give you an honest assessment of what a Vercel migration, ISR strategy audit, or performance tuning engagement would deliver.
The frontend is the first thing users see. They interact with it on mobile apps, software, and websites. Because of
Every start-up begins with an idea, but running a business needs constant efforts, time, and money. Initially, start-ups have to
Frontend development is undergoing a transformation and it’s not just about new frameworks or fancier animations. It’s about AI in
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Yes β it’s the explicit choice of enterprise engineering teams at Airbnb, Patreon, TikTok, and Washington Post. For most Next.js applications, Vercel Pro ($20/seat/month) is significantly cheaper than the engineering time required to maintain equivalent infrastructure on AWS or DigitalOcean β CloudFront configuration, EC2/ECS management, CI/CD pipeline maintenance, and on-call incident response all have real costs that don’t appear on the AWS bill. Vercel’s strict mode, shared types, and IDE tooling make large multi-team codebases safe to refactor and extend. For smaller utility scripts plain JavaScript may be fine, but anything long-lived and fast-shipping Next.js teams benefit enormously from Vercel’s Preview Deployment workflow and zero-infrastructure-management model.
Any project with more than one developer, more than a few weeks of lifetime, or Most Next.js migrations from AWS Amplify, Netlify, or self-hosted servers are completed in 3β7 days β audit, Vercel project setup, rendering strategy review, Preview Deployment validation, and zero-downtime DNS cutover. Larger migrations involving Turborepo monorepo restructuring or edge function rewrites take 2β4 weeks. Prisma, tRPC, and Next.js β 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 β 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 β enabling individual flags one at a time and graduating to full strict over sprints.
Typically 3β12 weeks depending on codebase size, existing test coverage, and strictness targets. We use an incremental allowJs strategy β 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 current hosting setup, framework, traffic volume, deployment frequency, performance pain points, and migration timeline. We then propose an engagement model β fixed budget, dedicated team, or time & material β and move into type architecture design, iterative build or migration sprints, and a documented handover with type coverage report.
Absolutely. Yes β we regularly audit inherited Vercel deployments. We start with a rendering strategy review per route, Speed Insights CWV audit, bundle size analysis, environment variable security audit, Spend Protection configuration check, and deployment pipeline review. Missing Zod boundaries, and ESLint rule gaps β produce a prioritised remediation roadmap, and execute it incrementally without pausing delivery.
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