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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 How we reduced Kafka message latency by 90% and increased throughput 4x for a $300M SaaS

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How we reduced Kafka message latency by 90% and increased throughput 4x for a $300M SaaS platform.
How One2N reduced Kafka message latency by 90% and increased throughput 4x for a $300M SaaS platform, while cutting AWS infrastructure costs by 40%.
Cover image for the case study Migrating from Heroku PaaS to AWS.

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

Blogs

Cover illustration for Spring Kafka batching: how we shot ourselves in the foot

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Spring Kafka batching: how we shot ourselves in the foot
Portrait of Mahesh Aravind, SDE at One2N

Mahesh Aravind

SDE @One2N

Spring Kafka batch listeners cost us non-blocking retries for a small throughput gain. How listener batching differs from producer batching, and the fix.

Cover illustration for How queueing theory makes systems reliable

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How queueing theory makes systems reliable
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Queueing theory for SREs: the M/M/1 model shows why 70% utilisation feels calm and 90% collapses under spikes, and why headroom is insurance, not waste.

Cover illustration for How to read SRE graphs without lying to yourself

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How to read SRE graphs without lying to yourself
Portrait of One2N, Team

One2N

Team

How to read SRE graphs honestly: averages that hide pain, sampling windows that erase spikes, log scales and heatmaps, plus a checklist for incidents.

Cover illustration for Latency vs throughput: why high utilisation hurts reliability

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Latency vs throughput: why high utilisation hurts reliability
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Latency vs throughput explained for engineers: how the two interact with utilisation, and why running at 90 percent capacity quietly wrecks your SLOs.

Cover illustration for SRE math every engineer should know: a practical guide

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SRE math every engineer should know: a practical guide
Portrait of Srivatsa RV, SRE at One2N

Srivatsa RV

SRE @One2N

SRE math for on-call engineers: percentiles that averages hide, Little's Law, error budgets as downtime minutes, queueing theory and honest graph reading.

Cover illustration for EKS upgrade best practices: how to upgrade EKS clusters safely

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EKS upgrade best practices: how to upgrade EKS clusters safely
Portrait of Aashi Rathore, SRE at One2N

Aashi Rathore

SRE @One2N

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

EKS upgrade checklist from our v1.23 to v1.30 move: control plane checks, VPC CNI, CoreDNS and kube-proxy add-ons, Velero backups and node group upgrades.

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 ClickHouse schema optimization for sparse data sets

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ClickHouse schema optimization for sparse data sets
Portrait of Amit Sadafule, Lead Software Engineer

Amit Sadafule

Lead Software Engineer

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Portrait of Saurabh Hirani, Principal SRE at One2N

Saurabh Hirani

Principal SRE @One2N

Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Schema designs for storing and querying sparse data sets in ClickHouse, including a sparse matrix and separate tables, and when each one fits.

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 Understanding MLOps from a software engineers' perspective

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Understanding MLOps from a software engineers' perspective
Portrait of Harsh Mishra, SRE

Harsh Mishra

SRE

Portrait of Spandan Ghosh, Content at One2N

Spandan Ghosh

Content @One2N

Portrait of Chinmay Naik, CEO at One2N

Chinmay Naik

CEO @One2N

Portrait of Jaideep Khandelwal, CTO at One2N

Jaideep Khandelwal

CTO @One2N

MLOps for software engineers is DevOps plus data engineering and ML. The MLOps lifecycle, knowledge silos, automation, versioning and experiment tracking.

Cover illustration for Kubernetes HPA on external metrics with Prometheus Adapter

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Kubernetes HPA on external metrics with Prometheus Adapter
Portrait of Akshay Srivastava, SRE at One2N

Akshay Srivastava

SRE @One2N

Kubernetes HPA on external metrics: scaling pods on Redis queues from a server outside the cluster with Prometheus Adapter, plus CPU and memory metrics.

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 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 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 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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