Traffic became an incident
An MVP is now a real business, but timeouts, queue pressure, and resource spikes appear whenever demand rises.
Backend & systems engineering
Bulletproof backends. Practical AI.
We design, rebuild, and stabilize the mission-critical systems that keep businesses online—without account managers, mystery, or AI vaporware.
GOPOSTGRESQLKUBERNETESOPENTELEMETRYLEGACY MODERNIZATIONPRACTICAL AI
01When teams call us
Your backend should not be the thing holding growth back.
Hakkil works with product teams that have outgrown fragile infrastructure, slow databases, manual deployments, and opaque production systems.
The monolith cannot move
Profitable legacy software is slowed by lock contention, old frameworks, and risky all-or-nothing releases.
Production is a black box
Logs, metrics, and traces are disconnected, leaving teams to investigate failures after customers report them.
AI reached production unguarded
LLM costs, sensitive data, fallbacks, and provider failures need systems engineering—not another demo wrapper.
Five ways we remove the bottleneck.
Direct access to the engineersHigh-performance Go systems
Concurrent services, clean REST and gRPC APIs, transactional PostgreSQL, and lightweight server-rendered applications.
GogRPCPostgreSQL
Legacy and database modernization
Incremental PHP modernization, query-plan analysis, safe service extraction, caching, and framework upgrades.
PHPSQL
DevOps and infrastructure
Boring deployments through CI/CD, secure containers, Kubernetes, Terraform, backups, and repeatable environments.
CI/CDIaC
Observability without blind spots
Correlated metrics, structured logs, distributed traces, dashboards, SLOs, and alerts people can act on.
OTelGrafana
Practical AI integration
RAG data pipelines, cost-aware LLM middleware, privacy controls, provider fallbacks, and local inference.
RAGGuardrails
02Selected work · 2024 — 2026
Things we shipped, recently.
Production systems, not concept decks. Each one runs live and stays observable.
