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Blogs

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters

Aashi Rathore

SRE @One2N

Upgrade your Amazon EKS clusters with confidence. Learn best practices to avoid common mistakes, prepare your cluster, and execute a smooth upgrade process for improved performance, security, and cost savings.

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters

Aashi Rathore

SRE @One2N

Upgrade your Amazon EKS clusters with confidence. Learn best practices to avoid common mistakes, prepare your cluster, and execute a smooth upgrade process for improved performance, security, and cost savings.

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters

Aashi Rathore

SRE @One2N

Upgrade your Amazon EKS clusters with confidence. Learn best practices to avoid common mistakes, prepare your cluster, and execute a smooth upgrade process for improved performance, security, and cost savings.

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters

Aashi Rathore

SRE @One2N

Upgrade your Amazon EKS clusters with confidence. Learn best practices to avoid common mistakes, prepare your cluster, and execute a smooth upgrade process for improved performance, security, and cost savings.

March 25, 2025 | 5 min read

Best Practices For Upgrading EKS Clusters

Aashi Rathore

SRE @One2N

Upgrade your Amazon EKS clusters with confidence. Learn best practices to avoid common mistakes, prepare your cluster, and execute a smooth upgrade process for improved performance, security, and cost savings.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

A comprehensive overview of MLOps for software engineers, covering key concepts, challenges, and best practices. Learn about knowledge silos, the MLOps lifecycle, automation, versioning, experiment tracking, and more.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

A comprehensive overview of MLOps for software engineers, covering key concepts, challenges, and best practices. Learn about knowledge silos, the MLOps lifecycle, automation, versioning, experiment tracking, and more.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

A comprehensive overview of MLOps for software engineers, covering key concepts, challenges, and best practices. Learn about knowledge silos, the MLOps lifecycle, automation, versioning, experiment tracking, and more.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

A comprehensive overview of MLOps for software engineers, covering key concepts, challenges, and best practices. Learn about knowledge silos, the MLOps lifecycle, automation, versioning, experiment tracking, and more.

July 30, 2024 | 7 min read

Understanding MLOps from a Software Engineers' Perspective

One2N Team

A comprehensive overview of MLOps for software engineers, covering key concepts, challenges, and best practices. Learn about knowledge silos, the MLOps lifecycle, automation, versioning, experiment tracking, and more.

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.

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.

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.

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.

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.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, 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.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, 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.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, 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.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, 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.

July 14, 2022 | 8 min read

Implementing a Real-Time Analytics Engine Using Big Data Principles

Jaideep Khandelwal

Founder, 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.

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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