Work

Systems that stay up.

Our engineers built these systems for clients and employers under NDA, so we describe them by industry, not by name. The engineering and the results are real.

Case study 01

Telecom & IoT

Monitoring 50,000+ devices across the country

Our engineers scaled a high-availability monitoring platform that watches 600,000 items (metrics) in real time at more than 100 sites nationwide.

devices monitored
50,000+
sites nationwide
100+
monitoring stack, no single point of failure
HA
  • Zabbix
  • High availability
  • Distributed proxies
  • Custom dashboards

The challenge

The client ran a large fleet of devices spread across the country. Problems were often found late, and many needed a field team on site just to diagnose them. The existing monitoring setup could not keep up with the number of devices.

What we built

  • Redesigned the Zabbix architecture for high availability and horizontal scale
  • Split collection across proxies close to each region to cut load and latency
  • Built custom dashboards for the network operations center (NOC)
  • Designed alert routing so the right team gets the right alert, with less noise

Results

  • Incidents detected in minutes instead of being reported by users
  • Fewer site visits: most issues are now diagnosed remotely
  • One monitoring platform that scales with the device fleet
  • Clear NOC dashboards with a nationwide view at a glance

Case study 02

Data & Analytics SaaS

From on-prem analytics product to SaaS

Our engineers turned an on-prem OLAP product into a multi-tenant SaaS, plus a control plane that manages on-prem installs.

data handled
PB-scale
typical query response
<1s
customers and deployments
100+
  • OLAP engine
  • Data pipeline
  • Multi-tenant SaaS
  • Control plane
  • Analytics UI

The challenge

The client sold an analytics product that customers installed in their own data centers. Every install was managed by hand, upgrades were slow, and new customers waited weeks to start. They needed a cloud offering without dropping on-prem customers.

What we built

  • Built a multi-tenant SaaS version of the product with tenant isolation
  • Built a SaaS control plane that manages licensing and updates for on-prem installs
  • Engineered the OLAP engine and data pipeline for petabyte-scale data
  • Built the analytics frontend: dashboards, charts and report builder

Results

  • Sub-second queries on petabyte-scale datasets
  • More than 100 customers and deployments on one platform
  • One codebase serves both SaaS and on-prem customers
  • New customers onboard in the cloud instead of waiting for an install

Case study 03

Fintech & Banking

Rebuilding an open banking platform with zero downtime

Our engineers replaced a legacy banking integration layer with a modern open API platform while it kept processing live transactions.

downtime during the migration
Zero
banks integrated
5+
of transactions per month
Millions
  • Open API gateway
  • OAuth2 / FAPI
  • SNAP BI
  • PCI DSS
  • ISO 27001

The challenge

The legacy platform connected to banks through a mix of custom integrations. It was hard to change, hard to audit, and could not go offline: payments flowed through it every minute.

What we built

  • Built an open API gateway with OAuth2 and FAPI-grade security and consent
  • Rebuilt bank integrations behind one consistent interface, aligned to SNAP BI
  • Built payment and disbursement flows with strict data integrity
  • Migrated traffic step by step, running old and new paths side by side
  • Built the partner and operations dashboard

Results

  • Legacy system replaced with zero downtime
  • More than 5 banks connected through one API
  • Millions of transactions processed every month
  • Built to SNAP BI, PCI DSS and ISO 27001 requirements

Have a system like these?

Scaling, rebuilding or launching: our engineers have done it in production. Tell us where you are and we will tell you honestly what it takes.

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