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Case Studies

Cover image for the case study Kong API Gateway for Gaming and Sports Betting Integrations

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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.
Cover image for the case study Migrating from AWS Glue to Self-Hosted ClickHouse: 70% Cost Reduction for a Fintech Clien

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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.
Cover image for the case study AutoScaling eKYC Machine Learning workloads to 2 Million req/day.

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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

Cover illustration for OpenSearch Workload Management (WLM) for heavy search queries

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OpenSearch Workload Management (WLM) for heavy search queries
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

OpenSearch Workload Management puts heavy report queries and product search in separate workload groups with CPU, memory, timeout and shard limits.

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

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Deploying a scalable NATS cluster part 2: hands-on demo
Portrait of Barun Debnath, SRE

Barun Debnath

SRE

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Deploy a four-node NATS cluster with Docker, JetStream stream replication, dead letter queues and Prometheus and Grafana dashboards, then load test it.

Cover illustration for Deploying a scalable NATS cluster, part 1: core architecture

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Deploying a scalable NATS cluster, part 1: core architecture
Portrait of Barun Debnath, SRE

Barun Debnath

SRE

NATS cluster architecture, part 1: pub-sub and queue groups, JetStream persistence, cluster, super cluster and leaf node topologies, and what to plan for.

Cover illustration for Karpenter vs Cluster Autoscaler for Kubernetes node scaling

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Karpenter vs Cluster Autoscaler for Kubernetes node scaling
Portrait of Rahul H Bhatia, SRE

Rahul H Bhatia

SRE

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Karpenter vs Cluster Autoscaler: how each scales Kubernetes nodes, from predefined node groups and priority expanders to provisioning and cost trade-offs.

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

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How we used Fly.io to improve a Pipecat-AI chatbot
Portrait of Ajinkya Wadekar, SRE at One2N

Ajinkya Wadekar

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

A Pipecat-AI chatbot on ECS hit limits at 10 to 15 chat rooms per task, and 6GB images slowed scale-up. How Fly.io machines spun from containers fixed it.

Cover illustration for Implementing a real-time analytics engine using big data principles

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Implementing a real-time analytics engine using big data principles
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

A real-time analytics engine for 50 million data points: replacing a MySQL setup with 48-hour query delays with Apache Spark pipelines and data marts.

Talks

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

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Platform Engineering Strategy: Scaling from 5 to 500 Engineers | One2N Bits Ep. 6
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

Portrait of Srivatsa RV, SRE at 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.

Thumbnail for the talk Common pitfalls in Data Analytics: Patterns over Tools | One2N Bits Ep.3

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Common pitfalls in Data Analytics: Patterns over Tools | One2N Bits Ep.3
Portrait of Kshitish Deshpande, Software Engineer at One2N

Kshitish Deshpande

Software Engineer @One2N

Portrait of Jaideep Khandelwal, CTO at 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.

Thumbnail for the talk Pragmatic Software Engineering Stories from the Trenches | PuneFOSS 3.0

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Pragmatic Software Engineering Stories from the Trenches | PuneFOSS 3.0
Portrait of Chinmay Naik, CEO at One2N

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.

Thumbnail for the talk What does It take to build a Software Defined Data Center at scale

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What does It take to build a Software Defined Data Center at scale
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Srivatsa RV, SRE at One2N, explains how virtualization, hyperconvergence and distributed systems let a software defined data center scale.

Thumbnail for the talk Go Concurrency Powering Gigabyte Scale Data Pipelines

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Go Concurrency Powering Gigabyte Scale Data Pipelines
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

How we built a streaming Go pipeline to migrate gigabytes from MongoDB to PostgreSQL, and how Go concurrency helps build and scale such pipelines.

Thumbnail for the talk From DevOps to MLOps - Scaling ML models to 2 million API requests per day

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From DevOps to MLOps - Scaling ML models to 2 million API requests per day
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Learn how to deploy and scale machine learning models to 2 million requests a day with MLOps best practices, from data preparation to scaling.

Thumbnail for the talk Optimizing Application Performance - A first-principles perspective

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Optimizing Application Performance - A first-principles perspective
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

What it takes to optimize application performance: vertical versus horizontal scaling, CPU versus IO bound work, and Amdahl's law to the USL.

Thumbnail for the talk Just enough queuing theory to be dangerous

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Just enough queuing theory to be dangerous
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

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

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

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Lessons Learned managing a Terabyte scale database for three nines of uptime
Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Chinmay Naik shares lessons from managing a terabyte-scale MySQL database for three nines of uptime, delivered at RootConf SREConf, November 2023.

Thumbnail for the talk FMEAs of the Distributed Systems before going live on Production

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FMEAs of the Distributed Systems before going live on Production
Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

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

Thumbnail for the talk Power of Go Concurrency

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Power of Go Concurrency
Portrait of Kalpesh Deo, Staff software engineer-II at One2N

Kalpesh Deo

Staff software engineer-II @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.

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