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Blogs

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

Barun Debnath

SRE

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.

November 12, 2025 | 7 min read

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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.

June 4, 2025 | 5 min read

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

Rahul H Bhatia

SRE

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.

November 8, 2024 | 7 min read

Case Studies

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AutoScaling eKYC Machine Learning workloads to 2M+ req/day

Cloud monthly costs were reduced to a maximum of $10k per month (90% savings over predicted costs without the Autoscaler). The solution has been live and running successfully on production for 2+ years. SLA for uptime and response time are met during this period.

Read Case Study

AutoScaling eKYC Machine Learning workloads to 2M+ req/day

Cloud monthly costs were reduced to a maximum of $10k per month (90% savings over predicted costs without the Autoscaler). The solution has been live and running successfully on production for 2+ years. SLA for uptime and response time are met during this period.

Read Case Study

AutoScaling eKYC Machine Learning workloads to 2M+ req/day

Cloud monthly costs were reduced to a maximum of $10k per month (90% savings over predicted costs without the Autoscaler). The solution has been live and running successfully on production for 2+ years. SLA for uptime and response time are met during this period.

Read Case Study

AutoScaling eKYC Machine Learning workloads to 2M+ req/day

Cloud monthly costs were reduced to a maximum of $10k per month (90% savings over predicted costs without the Autoscaler). The solution has been live and running successfully on production for 2+ years. SLA for uptime and response time are met during this period.

Talks

Watch Talk

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

Kshitish Deshpande

Software Engineer @One2N

Jaideep Khandelwal

CTO @One2N

How does analytics break in real-world startups and scaleups? In this episode, Kshitish from One2N breaks down the most common traps teams fall into not just technical, but mental models dragged from transactional to analytical systems.

November 4, 2025 | 13 min

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Pragmatic Software Engineering Stories from the Trenches | PuneFOSS 3.0

Chinmay Naik

CEO @One2N

At FOSS United Pune, Chinmay Naik, Founder of One2N shared real-world war stories. From debugging mysteries to incident response chaos, this was all about the messy, behind-the-scenes moments that teach you how to build better software.

April 5, 2025 | 30 min

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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

March 1, 2025 | 85 min

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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.

July 26, 2024 | 29 min

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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.

June 6, 2024 | 34 min

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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.

March 12, 2024 | 62 min

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Just enough queuing theory to be dangerous

Chinmay Naik

CEO @One2N

Queues are everywhere around us - both in real life and in software systems. In this talk, you'll learn just enough queuing theory to make you better at building asynchronous and event-driven systems. You’ll understand how to monitor and scale asynchronous systems and how to do capacity planning. Although the title of the talk has the word “theory” in it, you'll understand the practical view and learn to use the principles of queueing theory in practice to solve a real-world use case at the scale of millions of requests per day.

December 4, 2023 | 70 min

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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.

December 3, 2023 | 43 min

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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.

September 13, 2023 | 26 min

Watch Talk

Power of Go Concurrency

Kalpesh Deo

Lead Software Engineer @One2N

Everyone says Go is good at concurrency. But how? And what are some real-world examples of actually using Go’s concurrency features? Attend this talk to learn how we built a Gigabyte scale concurrent data pipeline for streaming and batch ETL operations in Go.

September 9, 2023 | 3 min