Services

Resources

Company

Our Work

Blog

Scalability

Back to Tags

Case Studies

Kong API Gateway for Gaming and Sports Betting Integrations
How we used Kong Gateway and Lua to decouple legacy wallet systems and accelerate global expansion for a Tier‑1 gaming enterprise.
Migrating from AWS Glue to Self-Hosted ClickHouse: 70% Cost Reduction for a Fintech Client.
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.
AutoScaling eKYC Machine Learning workloads to 2 Million req/day.
How One2N autoscaled eKYC ML workloads to 2 million requests per day with 90% cost savings, 99% availability, and sub-3-second P95 API latency.

Blogs

Deploying a scalable NATS cluster part 2: hands-on demo

Barun Debnath

SRE

Spandan Ghosh

Content @One2N

Learn how to deploy a scalable, production-ready NATS cluster using Docker, complete with observability via Prometheus and Grafana. This hands-on demo covers cluster design, stream replication, JetStream, DLQ, and load testing; helping you build robust messaging infrastructure for cloud native applications at scale.

Deploying a scalable NATS cluster part 1: core architecture and considerations

Barun Debnath

SRE

In this blog, we provide a detailed overview of the NATS architecture, key cluster design considerations, and best practices for deploying a scalable and reliable NATS messaging system. We cover topics like high availability, fault tolerance, message durability, and the infrastructure requirements.

Karpenter vs Cluster Autoscaler: a comprehensive guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE

Spandan Ghosh

Content @One2N

Learn what the key differences are between Karpenter and Cluster Autoscaler for Kubernetes node scaling, how each tool handles dynamic workloads, node provisioning, and cost optimization, to choose the best solution for your cloud-native environment.

How we used Fly.io to improve a Pipecat-AI chatbot

Ajinkya Wadekar

SRE @One2N

Spandan Ghosh

Content @One2N

Learn how we improved our AI chatbot application using innovative solutions. Find out about the challenges we faced and the strategies we used to boost performance and scalability.

Implementing a real-time analytics engine using big data principles

Jaideep Khandelwal

CTO @One2N

Learn how to implement a real-time analytics engine using big data principles. The challenges, approach, and tools used to build a scalable, high-performance data analytics system. Improve your data engineering skills with this in-depth technical blog.

Talks

Platform Engineering Strategy: Scaling from 5 to 500 Engineers | One2N Bits Ep. 6

Jaideep Khandelwal

CTO @One2N

Srivatsa RV

SRE @One2N

When do you actually need a platform team? Srivatsa and Jaideep break down platform engineering from first principles: culture, org size, and adoption.

Common pitfalls in Data Analytics: Patterns over Tools | One2N Bits Ep.3

Kshitish Deshpande

Software Engineer @One2N

Jaideep Khandelwal

CTO @One2N

Kshitish from One2N breaks down the most common analytics traps startups fall into and why mental models matter more than tool choices.

Pragmatic Software Engineering Stories from the Trenches | PuneFOSS 3.0

Chinmay Naik

CEO @One2N

Chinmay Naik at FOSS United Pune shares real engineering war stories: debugging mysteries, incident chaos, and lessons from building better software.

What does It take to build a Software Defined Data Center at scale

Srivatsa RV

SRE @One2N

Join Srivatsa RV, SRE at One2N, as he breaks down the complexities of scaling a Software-Defined Data Center. Learn how modern infrastructure uses virtualization, hyperconvergence, and distributed systems to deliver resilient, API-driven solutions. Key Topics Covered - Virtualization & Hypervisors: Type-1 vs. Type-2, KVM, and Nutanix AHV - Hyperconverged Infrastructure (HCI): Scalability, fault tolerance, and real-world deployments (e.g., 15,000+ VMs across 800 servers) - Failure Modes: Disk, node, and cluster-level resilience strategies Cool Tech Demos: - VM Live Migrations: Mitigating hardware failures without downtime - Data Center-Level Failovers: Ensuring business continuity - Capacity Planning: Metrics-driven approaches for CPU, memory, and storage

Go Concurrency Powering Gigabyte Scale Data Pipelines

Chinmay Naik

CEO @One2N

In this talk, I'll share how we built a real-world data pipeline in Go to migrate gigabytes of data from MongoDB to PostgreSQL in a streaming fashion. You'll learn how to leverage Go's concurrency features to build and scale such a system. Join me to see Go's concurrency in action and discover how it can be used to power large-scale data processing tasks efficiently.

From DevOps to MLOps - Scaling ML models to 2 million API requests per day

Chinmay Naik

CEO @One2N

Learn how to deploy and scale Machine Learning models to 2 Million+ requests/day using MLOps best practices. In this talk, you’ll learn how to go from data preparation to deployment to scaling ML models that can run at large scale - all without breaking the bank.

Optimizing Application Performance - A first-principles perspective

Chinmay Naik

CEO @One2N

What does it take to optimize application performance? - Vertical scaling vs horizontal scaling - CPU bound vs IO bound workloads - Amdahl's law to Universal Scalability Law This video covers it all.

Just enough queuing theory to be dangerous

Chinmay Naik

CEO @One2N

Just enough queueing theory to build better async systems: monitoring, scaling, and capacity planning for event-driven workloads in practice.

Lessons Learned managing a Terabyte scale database for three nines of uptime

Chinmay Naik

CEO @One2N

Listen to this talk by Chinmay Naik to understand the lessons behind managing a Terabyte scale MySQL database for three nines of uptime. This talk was delivered at RootConf's SREConf in November 2023.

FMEAs of the Distributed Systems before going live on Production

Jaideep Khandelwal

CTO @One2N

A talk by Jaideep Khandelwal about performing Failure Modes and Effects Analysis of Distributed Systems before deploying them on production.

Power of Go Concurrency

Kalpesh Deo

Lead Software Engineer @One2N

How One2N built a real-world Go pipeline to stream gigabytes of data from MongoDB to PostgreSQL, using Go's concurrency features at scale.

‹ Resiliency

Security ›