Backend, infrastructure, and industrial systems engineering

Engineering High-Performance
Production Systems

Pyrvex builds mission-critical Go platforms, cloud-native infrastructure, and industrial IoT backends designed for concurrency, reliability, and long-term maintainability.

Start a Project How We Build

99.99%

Reliability target

<5ms

Low-latency paths

100k+

High-throughput workloads

24/7

Production readiness

Approach

We design systems that stay predictable under pressure.

From telemetry ingestion to internal APIs and data pipelines, we focus on correctness first, then performance, then operational simplicity. The result is software that scales without becoming fragile.

Strong contracts with gRPC and Protobuf

Deterministic concurrency patterns in Go

Observability-first delivery with metrics and tracing

Zero-downtime deployment and rollback strategy

pipeline.go

func ConsumeTelemetry(ctx context.Context) error {

stream, err := broker.Connect(cfg.URL)

if err != nil { return err }

pool := worker.NewPool(128)

for msg := range stream.Messages() {

pool.Go(func() {

// validate, persist, ack

storage.InsertBatch(ctx, msg.Payload)

msg.Ack()

})

}

Expertise

Core Engineering Capabilities

We build reliable backend foundations for products, industrial platforms, and data-heavy systems.

Go Microservices

High-throughput backend services built with clear boundaries, concurrency safety, and strong transport contracts.

Cloud Native Delivery

Kubernetes, CI/CD, runtime hardening, and infrastructure automation for stable release pipelines.

Industrial IoT & SCADA

Real-time ingestion, PLC integration, telemetry pipelines, and time-series optimized storage.

Data Platforms

Event-driven flows, queue-backed processing, PostgreSQL optimization, and operational data design.

System Modernization

Incremental migration from fragile legacy systems to maintainable, observable production architecture.

Security & Resilience

Authentication, fraud mitigation, operational safeguards, and failure-aware architecture patterns.

Delivery model

What we typically help teams deliver

Architecture and system design for high-throughput platforms

Migration from monoliths to resilient service-oriented systems

Industrial telemetry pipelines and SCADA backend integration

Performance tuning, observability, and production hardening

Operating principles

Build for operability

Tracing, metrics, logs, and predictable deployment workflows from day one.

Reduce production risk

Controlled rollout plans, clear ownership boundaries, and safer change management.

Optimize where it matters

Latency, throughput, and cost tuned based on real workload behavior.

Keep architecture practical

Simple systems first, complexity only where the business actually needs it.

Stack

Production Technology Stack

GolangKubernetesGoogle CloudDockerPostgreSQLTimescaleDBgRPCNATS JetStreamSolaceRedisTypeScriptNode.jsLinuxPrometheusGrafanaGitHub Actions

Insights

Engineering Blog

Deep dives into systems engineering, concurrency, and backend architecture.

View all posts

April 20, 2026•Golang

Concurrency Patterns in Go You Should Actually Use in Production

Go's concurrency model is powerful — but misused patterns lead to goroutine leaks, race conditions, and silent failures. Here's what works in production.

Read article

April 10, 2026•Golang

gRPC vs REST in Go Microservices: When to Use Which

REST is familiar. gRPC is fast. But the real decision is about contract strictness, streaming needs, and team maturity — not just benchmarks.