Nginx development company
Your edge layer, engineered properly: NGINX reverse proxying, load balancing, caching, TLS termination and rate limiting, delivered as version-controlled configuration that is tested, peer reviewed and deployed exactly like application code.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
NGINX configuration treated as production code
As an NGINX development company, Krapton builds and maintains the layer between your users and your application servers. That layer decides a lot: whether slow upstreams exhaust worker connections, whether a cache stampede hits the database after a deploy, whether TLS settings pass a security review, and whether a config change that passes syntax checks still breaks routing. Our engineers write NGINX configuration as code in Git, split into reusable includes and map blocks, validated with nginx -t in CI and rolled out through Ansible, Docker images or Helm charts. Typical work covers upstream pools with keepalive and passive health checks, proxy_cache with stale-while-revalidate behavior, limit_req zones against credential stuffing, HTTP/2 and HTTP/3 termination, and structured JSON access logs for tracing. Sometimes the honest advice is to remove a layer, for instance when a managed CDN or service mesh already covers what a hand-built proxy would do.
Nginx development services
Reverse proxy and load balancing
Upstream pools with keepalive connections, least_conn or consistent hashing, passive health checks via max_fails, and correct forwarding of client IP, protocol and host headers to your application.
Proxy caching and microcaching
proxy_cache and fastcgi_cache zones with deliberate cache keys, proxy_cache_lock to stop stampedes, serving stale content during upstream errors, and purge strategies that fit your publishing workflow.
TLS, HTTP/2 and HTTP/3
Certificate automation with Certbot or cert-manager, modern cipher and protocol settings, OCSP stapling where it still applies, HSTS, and QUIC-based HTTP/3 enabled after checking UDP paths and client support.
Traffic protection rules
limit_req and limit_conn zones for login and API routes, request size and timeout limits, bot filtering with map blocks, and security headers tuned so they do not break embedded content.
Kubernetes ingress migration
With the community ingress-nginx controller retired, we move routing rules and annotations to Gateway API implementations such as NGINX Gateway Fabric, or to F5’s NGINX Ingress Controller where that fits.
Custom logic with njs and Lua
Request routing, header rewriting, token checks and A/B splits written in njs or OpenResty Lua when plain directives become unreadable, with unit tests around every script.
Why teams choose Krapton for Nginx
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Config tested in CI
Every change passes nginx -t, static checks and an integration test that replays representative requests through a containerized NGINX before it reaches a production reload.
Open Source or Plus, explained
NGINX Plus adds active health checks, a live API and dashboard, and commercial support; we explain whether those justify a subscription or whether open source NGINX covers your case.
Observability from the edge
JSON access logs with upstream timing fields, request IDs passed to your services, and stub_status or exporter metrics in Prometheus, so latency can be traced to the proxy or the app.
Readable configuration you own
Server blocks are organized into includes and snippets with comments explaining each non-obvious directive, so the next engineer can change a location block without fear of side effects.
How a Nginx project runs with Krapton
01
Traffic and config review
We read the existing configuration, access and error logs, and upstream latency, mapping every server and location block to the application route it serves.
02
Target design
Routing, caching, TLS and rate-limit rules are written as a reviewed design, including which responses may be cached and how failures should degrade.
03
Canary rollout
New configuration ships to one node or a weighted share of traffic first, with error rates and cache hit ratios watched before the full reload.
04
Runbook and support
You receive documented configs, certificate renewal checks, alert rules and a rollback procedure, with Krapton available for ongoing changes or a clean exit.
The Nginx stack we build with
Nginx development: questions answered
Why hire an NGINX development company instead of copying config snippets?
Because copied snippets rarely account for how your traffic, upstreams and caching interact. A specialist team delivers a documented edge layer covering proxy and load balancer rules, cache policy, certificate automation, rate limits, logging, and CI checks that keep later edits safe. Krapton also reviews the application side, since many NGINX problems come from upstreams that hold connections too long or send headers that make responses uncacheable.
Should we use NGINX, HAProxy, Envoy or a managed load balancer?
NGINX is the strongest default when you need web serving, caching and reverse proxying in one component. HAProxy is often preferred for pure TCP and HTTP load balancing with detailed health checks, Envoy suits service meshes and gRPC-heavy internal traffic, and a cloud load balancer or CDN removes servers you would otherwise patch. Many stacks combine them, for example a CDN in front of NGINX in front of the app.
What happens to our Kubernetes ingress now that ingress-nginx is retired?
Plan a migration rather than running an unmaintained controller at the edge of your cluster. We inventory your Ingress resources and the annotations they depend on, since annotations such as rewrites, snippets and auth hooks rarely map one to one. Routes are then rebuilt as Gateway API HTTPRoutes or moved to F5’s NGINX Ingress Controller, tested side by side, and cut over by shifting DNS or load balancer weight.
How do you make NGINX faster under heavy traffic?
Mostly by reducing work per request rather than tuning worker counts. That means keepalive connections to upstreams, caching or microcaching responses that tolerate a few seconds of staleness, serving static assets with sendfile and long cache headers, compressing with gzip or the ngx_brotli module, and setting buffer and timeout values that suit your response sizes. Load tests with k6 or wrk confirm each change instead of guessing.
What affects the cost of an NGINX engagement?
The scope of the edge layer drives cost, not the number of config lines. Key factors are how many sites, domains and upstream services sit behind NGINX, whether caching rules must respect personalization or authentication, Kubernetes ingress migration work, compliance needs such as PCI DSS TLS requirements, and whether you want ongoing on-call support. Those are estimated after we have read your current configuration and traffic patterns.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.