Our best work.

How we used Kong Gateway and Lua to decouple legacy wallet systems and accelerate global expansion for a Tier‑1 gaming enterprise.

How One2N reduced Kafka message latency by 90% and increased throughput 4x for a $300M SaaS platform, while cutting AWS infrastructure costs by 40%.

How One2N migrated ADPList from Heroku to AWS, achieving 300% performance improvement, 50% cost reduction, and centralized observability.

A gaming and betting operator ran 200+ Java services across 30,000+ VMs on AWS and on-premises, processing 180M spins daily and 600K RPS, but needed unified observability across fragmented monitoring tools.

Flip is a fintech company in Indonesia. We migrated their stateless services running on 25+ VMs in the Alibaba cloud to their managed Kubernetes offering (ACK). These application services served Flip's B2B and B2C traffic which often peaked at 25,000 requests/second. Problem Statement. Implement autoscaling of the infrastructure to handle peak traffic. Move to a Cloud-Native architecture to use modern tooling. Solve the problems related to configuration management and operational toil.

A global MSSP handling 1.5TB of SIEM events daily needed automated, tenant-aware backup and restore with low ops cost. One2N delivered a parallel S3 archival pipeline supporting 100+ tenants for under $200/month.

How One2N cut a fintech client's analytics spend from $13K to $4K/month by replacing AWS Glue, DMS, and Athena with a self-hosted ClickHouse stack.

How One2N helped a no-code Shopify platform cut AWS infrastructure costs by 42% without affecting uptime, with savings on compute, RDS, and data transfer.

Problem Statement. DB schema migrations on large tables (400+ million rows or 150+ GB in size for a single table) caused replication lag and impacted latencies. Adding indexes on large tables also resulted in replication lag and degraded query performance. Developers had to wait months to roll out their features which needed schema changes.