We engineer high-performance IT systems built for scale
We start at the architecture and stay through production. Performance, failover and scaling go in at the foundation, so growth becomes a capacity plan instead of an emergency.
- client1.2
- WAF0.4
- Go API11.0
High-load systems: payments, gaming platforms and services with heavy concurrent traffic.
Five products: launch from 14 days
Our own systems, each with a dedicated database, real integrations and the full source code. We fit them to the way you work and leave room to grow — all the way to a CRM.
Online client booking
A booking system with bots for Telegram, WhatsApp and Facebook, an admin dashboard, individual staff accounts and calendar sync. Built for medical centers, salons and service businesses — any business that operates by appointment.
- Telegram, WhatsApp, Facebook
- Admin dashboard
- 24/7 online booking
- Staff calendars
Time to launchfrom 14 daysAI support center
It reads requests from messaging apps and email, detects customer sentiment, drafts responses using your knowledge base and flags messages that still need a reply.
- Request triage
- Company knowledge base
- Nothing left unanswered
- Daily digest
Time to launchfrom 14 daysOnline store and marketplace
An e-commerce platform with a catalog for complex product lines, cart and checkout, payment handling, customer and seller accounts, and an order management dashboard. Built for retail, wholesale and platforms where more than one company sells.
- Catalog, variants, attributes
- Cart and checkout
- Seller accounts
- Payments and delivery
Time to launchfrom 14 daysShort-stay rental booking system
A short-stay rental system with a property catalog and a date filter, an availability calendar, payment handling, invoices and notifications. Availability is shared by the site and the platforms: the exchange runs both ways, so the same night is never sold twice. Built for apartment and house owners, property managers and aparthotels.
- Catalog and date filter
- Availability across platforms
- Payments and invoices
- Notifications and digests
Time to launchfrom 14 daysAHEGAO Kit — infrastructure administration
A self-hosted administration platform: one PostgreSQL, one compose file, no outbound connections. Capability is added through kits — database backups verified by restore, a network diagram, artifact storage upkeep. Metrics are exported to Prometheus and Zabbix, and backups are written to a local path, NFS/SMB or S3.
- Backups verified by restoring
- Network map
- Pluggable kits
- Metrics to Prometheus and Zabbix
Time to launchfrom 14 days
We join at any stage
Stack and resilience
Where the money flows, we use languages built for load. The infrastructure is your own, tied to no outside cloud.
We don't follow trends We build foundations
Not promises — decisions built into the architecture
What watching a system looks like
Grafana, Prometheus and Loki keep metrics, load and logs under observation in real time. Below is a simplified visualization of how that monitoring works in practice.
Headroom available. The load is spread across 1 pod, and latency stays flat.
- #23INFOall services healthy · p99 52 ms
- #22INFOload 33% · p99 52 ms · no incidents
- #21INFOhpa: scaling 1 → 2 replicas
- #20INFOload 21% · p99 45 ms · no incidents
- #19INFOhpa: scaling down 2 → 1 replicas · load has eased
- #18INFOload 28% · p99 50 ms · no incidents
- #17OKp99 back to 49 ms · system stable
- #16WARNRedis: cache hit rate 82.4%, below normal
- #15WARNlatency rising: notify p99 96 ms ↑
- #14INFOload 38% · p99 56 ms · no incidents
- #13INFOhpa: scaling 1 → 2 replicas
- #12INFOload 24% · p99 47 ms · no incidents
- #11INFOhpa: scaling down 3 → 1 replicas · load has eased
- #10WARNWAF: 4820 requests/min blocked from a single address
- #9INFOhpa: scaling 1 → 3 replicas
- #8INFOload 26% · p99 48 ms · no incidents
- #7OKhealed in 9 s · services 24/24 · p99 51 ms
- #6INFOrestarting pod-2 · restartPolicy: Always
- #5WARNpod-2: memory at 84% of its limit
- #4INFOhpa: scaling down 2 → 1 replicas · load has eased
- #3INFOload 35% · p99 53 ms · no incidents
- #2WARNKafka: consumer lag 2140 messages
- #1INFOhpa: scaling 1 → 2 replicas
- #0INFOload 19% · p99 44 ms · no incidents
Let's talk architecture. No slides, straight to the technical detail
We can join at any stage, from shaping the business logic to standing up infrastructure for scale. We work in the open and hand over the complete source code.
Talk to an engineer