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Blogs

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters.

Aashi Rathore

SRE @One2N

In this post, We will discuss why upgrading is essential and the cost implications of control plane operations. What are the essential steps to prepare your EKS cluster for an upgrade, including backup strategies, compatibility checks, and automation tools to make the process efficient, as well as best practices to ensure a smooth upgrade

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters.

Aashi Rathore

SRE @One2N

In this post, We will discuss why upgrading is essential and the cost implications of control plane operations. What are the essential steps to prepare your EKS cluster for an upgrade, including backup strategies, compatibility checks, and automation tools to make the process efficient, as well as best practices to ensure a smooth upgrade

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters.

Aashi Rathore

SRE @One2N

In this post, We will discuss why upgrading is essential and the cost implications of control plane operations. What are the essential steps to prepare your EKS cluster for an upgrade, including backup strategies, compatibility checks, and automation tools to make the process efficient, as well as best practices to ensure a smooth upgrade

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters.

Aashi Rathore

SRE @One2N

In this post, We will discuss why upgrading is essential and the cost implications of control plane operations. What are the essential steps to prepare your EKS cluster for an upgrade, including backup strategies, compatibility checks, and automation tools to make the process efficient, as well as best practices to ensure a smooth upgrade

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters.

Aashi Rathore

SRE @One2N

In this post, We will discuss why upgrading is essential and the cost implications of control plane operations. What are the essential steps to prepare your EKS cluster for an upgrade, including backup strategies, compatibility checks, and automation tools to make the process efficient, as well as best practices to ensure a smooth upgrade

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

In this blog, you'll learn about MLOps from the perspective of a software engineer. This blog will help you build a solid mental model about MLOps from your existing knowledge of software engineering and DevOps.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

In this blog, you'll learn about MLOps from the perspective of a software engineer. This blog will help you build a solid mental model about MLOps from your existing knowledge of software engineering and DevOps.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

In this blog, you'll learn about MLOps from the perspective of a software engineer. This blog will help you build a solid mental model about MLOps from your existing knowledge of software engineering and DevOps.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

In this blog, you'll learn about MLOps from the perspective of a software engineer. This blog will help you build a solid mental model about MLOps from your existing knowledge of software engineering and DevOps.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

In this blog, you'll learn about MLOps from the perspective of a software engineer. This blog will help you build a solid mental model about MLOps from your existing knowledge of software engineering and DevOps.

October 14, 2022 | 6 min read

Horizontal Pod Autoscaling in Kubernetes based on External Metrics, using Prometheus Adapter

Akshay Srivastava

SRE @One2N

Learn how to leverage Kubernetes for efficient auto-scaling in micro-service architectures. This blog explores Horizontal Pod Autoscaling (HPA) using internal and external metrics, including the setup of Prometheus Adapter for monitoring external Redis servers. Follow our step-by-step guide to optimize resource utilization and ensure minimal downtime in your Kubernetes deployments.

October 14, 2022 | 6 min read

Horizontal Pod Autoscaling in Kubernetes based on External Metrics, using Prometheus Adapter

Akshay Srivastava

SRE @One2N

Learn how to leverage Kubernetes for efficient auto-scaling in micro-service architectures. This blog explores Horizontal Pod Autoscaling (HPA) using internal and external metrics, including the setup of Prometheus Adapter for monitoring external Redis servers. Follow our step-by-step guide to optimize resource utilization and ensure minimal downtime in your Kubernetes deployments.

October 14, 2022 | 6 min read

Horizontal Pod Autoscaling in Kubernetes based on External Metrics, using Prometheus Adapter

Akshay Srivastava

SRE @One2N

Learn how to leverage Kubernetes for efficient auto-scaling in micro-service architectures. This blog explores Horizontal Pod Autoscaling (HPA) using internal and external metrics, including the setup of Prometheus Adapter for monitoring external Redis servers. Follow our step-by-step guide to optimize resource utilization and ensure minimal downtime in your Kubernetes deployments.

October 14, 2022 | 6 min read

Horizontal Pod Autoscaling in Kubernetes based on External Metrics, using Prometheus Adapter

Akshay Srivastava

SRE @One2N

Learn how to leverage Kubernetes for efficient auto-scaling in micro-service architectures. This blog explores Horizontal Pod Autoscaling (HPA) using internal and external metrics, including the setup of Prometheus Adapter for monitoring external Redis servers. Follow our step-by-step guide to optimize resource utilization and ensure minimal downtime in your Kubernetes deployments.

October 14, 2022 | 6 min read

Horizontal Pod Autoscaling in Kubernetes based on External Metrics, using Prometheus Adapter

Akshay Srivastava

SRE @One2N

Learn how to leverage Kubernetes for efficient auto-scaling in micro-service architectures. This blog explores Horizontal Pod Autoscaling (HPA) using internal and external metrics, including the setup of Prometheus Adapter for monitoring external Redis servers. Follow our step-by-step guide to optimize resource utilization and ensure minimal downtime in your Kubernetes deployments.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, CTO @One2N

Discover how we helped a client scale their in-transit entertainment system's analytics by building data pipelines using Apache Spark and other big data tools. Our approach included creating a data warehouse with multiple data marts, denormalizing the schema, managing slowly changing dimensions, deduplication, and type conversion. With the new system, the client saw a significant reduction in query response time and improved data-driven decision making.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, CTO @One2N

Discover how we helped a client scale their in-transit entertainment system's analytics by building data pipelines using Apache Spark and other big data tools. Our approach included creating a data warehouse with multiple data marts, denormalizing the schema, managing slowly changing dimensions, deduplication, and type conversion. With the new system, the client saw a significant reduction in query response time and improved data-driven decision making.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, CTO @One2N

Discover how we helped a client scale their in-transit entertainment system's analytics by building data pipelines using Apache Spark and other big data tools. Our approach included creating a data warehouse with multiple data marts, denormalizing the schema, managing slowly changing dimensions, deduplication, and type conversion. With the new system, the client saw a significant reduction in query response time and improved data-driven decision making.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, CTO @One2N

Discover how we helped a client scale their in-transit entertainment system's analytics by building data pipelines using Apache Spark and other big data tools. Our approach included creating a data warehouse with multiple data marts, denormalizing the schema, managing slowly changing dimensions, deduplication, and type conversion. With the new system, the client saw a significant reduction in query response time and improved data-driven decision making.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, CTO @One2N

Discover how we helped a client scale their in-transit entertainment system's analytics by building data pipelines using Apache Spark and other big data tools. Our approach included creating a data warehouse with multiple data marts, denormalizing the schema, managing slowly changing dimensions, deduplication, and type conversion. With the new system, the client saw a significant reduction in query response time and improved data-driven decision making.

Case Studies

Migrating from Heroku PaaS to AWS

When ADPList approached us, they had an immediate problem at hand. The latency for the business critical APIs was high and caused poor user experience. Before anything else, we started focusing on solving that problem. The entire stack for ADPList was running on Heroku. To improve performance, the ADPList team already implemented vertical infrastructure scaling. However, this resulted in a massive increase in costs. Apart from the costs, we realized that Heroku isn’t particularly suited well for microservices deployments at ADPList due to:

300%

Application performance improvement

50%

Cost reduction

3x

Throughput improvement

Learn More

Migrating from Heroku PaaS to AWS

When ADPList approached us, they had an immediate problem at hand. The latency for the business critical APIs was high and caused poor user experience. Before anything else, we started focusing on solving that problem. The entire stack for ADPList was running on Heroku. To improve performance, the ADPList team already implemented vertical infrastructure scaling. However, this resulted in a massive increase in costs. Apart from the costs, we realized that Heroku isn’t particularly suited well for microservices deployments at ADPList due to:

300%

Application performance improvement

50%

Cost reduction

3x

Throughput improvement

Learn More

Migrating from Heroku PaaS to AWS

When ADPList approached us, they had an immediate problem at hand. The latency for the business critical APIs was high and caused poor user experience. Before anything else, we started focusing on solving that problem. The entire stack for ADPList was running on Heroku. To improve performance, the ADPList team already implemented vertical infrastructure scaling. However, this resulted in a massive increase in costs. Apart from the costs, we realized that Heroku isn’t particularly suited well for microservices deployments at ADPList due to:

300%

Application performance improvement

50%

Cost reduction

3x

Throughput improvement

Learn More

Migrating from Heroku PaaS to AWS

When ADPList approached us, they had an immediate problem at hand. The latency for the business critical APIs was high and caused poor user experience. Before anything else, we started focusing on solving that problem. The entire stack for ADPList was running on Heroku. To improve performance, the ADPList team already implemented vertical infrastructure scaling. However, this resulted in a massive increase in costs. Apart from the costs, we realized that Heroku isn’t particularly suited well for microservices deployments at ADPList due to:

300%

Application performance improvement

50%

Cost reduction

3x

Throughput improvement

Learn More

Migrating from Heroku PaaS to AWS

When ADPList approached us, they had an immediate problem at hand. The latency for the business critical APIs was high and caused poor user experience. Before anything else, we started focusing on solving that problem. The entire stack for ADPList was running on Heroku. To improve performance, the ADPList team already implemented vertical infrastructure scaling. However, this resulted in a massive increase in costs. Apart from the costs, we realized that Heroku isn’t particularly suited well for microservices deployments at ADPList due to:

300%

Application performance improvement

50%

Cost reduction

3x

Throughput improvement

Learn More

Talks

March 12, 2024 | 62 min

Optimizing Application Performance - A first-principles perspective

Chinmay Naik

Founder, 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

Optimizing Application Performance - A first-principles perspective

Chinmay Naik

Founder, 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

Optimizing Application Performance - A first-principles perspective

Chinmay Naik

Founder, 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

Optimizing Application Performance - A first-principles perspective

Chinmay Naik

Founder, 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

Optimizing Application Performance - A first-principles perspective

Chinmay Naik

Founder, 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.

September 9, 2023 | 3 min

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

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

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

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

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.

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