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Blogs

November 8, 2024 | 7 min read

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn 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

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn 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

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn 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

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn 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

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn how each tool handles dynamic workloads, node provisioning, and cost optimization to choose the best solution for your cloud-native environment.

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.

Case Studies

Pull Request Based Ephemeral Preview Environments on Kubernetes

Problem Statement. Set up Heroku PaaS style, ephemeral Preview environments for all frontend and backend services on Kubernetes Allow a Preview service to use another service in Preview mode as a dependency Configure the latest migrations and seed data in Preview environments, reducing the time to test a Pull Request Allow automated deletion of the Preview environment if it’s not actively used

Learn More

Pull Request Based Ephemeral Preview Environments on Kubernetes

Problem Statement. Set up Heroku PaaS style, ephemeral Preview environments for all frontend and backend services on Kubernetes Allow a Preview service to use another service in Preview mode as a dependency Configure the latest migrations and seed data in Preview environments, reducing the time to test a Pull Request Allow automated deletion of the Preview environment if it’s not actively used

Learn More

Pull Request Based Ephemeral Preview Environments on Kubernetes

Problem Statement. Set up Heroku PaaS style, ephemeral Preview environments for all frontend and backend services on Kubernetes Allow a Preview service to use another service in Preview mode as a dependency Configure the latest migrations and seed data in Preview environments, reducing the time to test a Pull Request Allow automated deletion of the Preview environment if it’s not actively used

Learn More

Pull Request Based Ephemeral Preview Environments on Kubernetes

Problem Statement. Set up Heroku PaaS style, ephemeral Preview environments for all frontend and backend services on Kubernetes Allow a Preview service to use another service in Preview mode as a dependency Configure the latest migrations and seed data in Preview environments, reducing the time to test a Pull Request Allow automated deletion of the Preview environment if it’s not actively used

Learn More

A funnel icon represents the limitations of VMs. They are not as scalable or agile as containerized applications. Scaling a VM requires provisioning a whole new server, while scaling a containerized application simply involves spinning up more containers.

Journey of moving VM-based workloads to Kubernetes

Flip is a fintech company in Indonesia. We migrated their stateless services running on 25+ VMs in the Alibaba cloud to their managed Kubernetes offering (ACK). These application services served Flip's B2B and B2C traffic which often peaked at 25,000 requests/second. Problem Statement. Implement autoscaling of the infrastructure to handle peak traffic. Move to a Cloud-Native architecture to use modern tooling. Solve the problems related to configuration management and operational toil.

30%

Cost Saved

120

Pods at peak load

0sec

Downtime

Learn More

A funnel icon represents the limitations of VMs. They are not as scalable or agile as containerized applications. Scaling a VM requires provisioning a whole new server, while scaling a containerized application simply involves spinning up more containers.

Journey of moving VM-based workloads to Kubernetes

Flip is a fintech company in Indonesia. We migrated their stateless services running on 25+ VMs in the Alibaba cloud to their managed Kubernetes offering (ACK). These application services served Flip's B2B and B2C traffic which often peaked at 25,000 requests/second. Problem Statement. Implement autoscaling of the infrastructure to handle peak traffic. Move to a Cloud-Native architecture to use modern tooling. Solve the problems related to configuration management and operational toil.

30%

Cost Saved

120

Pods at peak load

0sec

Downtime

Learn More

A funnel icon represents the limitations of VMs. They are not as scalable or agile as containerized applications. Scaling a VM requires provisioning a whole new server, while scaling a containerized application simply involves spinning up more containers.

Journey of moving VM-based workloads to Kubernetes

Flip is a fintech company in Indonesia. We migrated their stateless services running on 25+ VMs in the Alibaba cloud to their managed Kubernetes offering (ACK). These application services served Flip's B2B and B2C traffic which often peaked at 25,000 requests/second. Problem Statement. Implement autoscaling of the infrastructure to handle peak traffic. Move to a Cloud-Native architecture to use modern tooling. Solve the problems related to configuration management and operational toil.

30%

Cost Saved

120

Pods at peak load

0sec

Downtime

Learn More

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.

Learn More

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.

Learn More

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.

Learn More

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.

Learn More

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.

Learn More

Talks

February 5, 2025 | 31 min

ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024

Jaideep Khandelwal

Founder, CTO @One2N

Lessons from deploying open-source models on Kubernetes GPUs, managing vector DBs & building RAG apps

February 5, 2025 | 31 min

ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024

Jaideep Khandelwal

Founder, CTO @One2N

Lessons from deploying open-source models on Kubernetes GPUs, managing vector DBs & building RAG apps

February 5, 2025 | 31 min

ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024

Jaideep Khandelwal

Founder, CTO @One2N

Lessons from deploying open-source models on Kubernetes GPUs, managing vector DBs & building RAG apps

February 5, 2025 | 31 min

ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024

Jaideep Khandelwal

Founder, CTO @One2N

Lessons from deploying open-source models on Kubernetes GPUs, managing vector DBs & building RAG apps

February 5, 2025 | 31 min

ABC of LLMOps - What does it take to run self-hosted LLMs｜Rootconf mini 2024

Jaideep Khandelwal

Founder, CTO @One2N

Lessons from deploying open-source models on Kubernetes GPUs, managing vector DBs & building RAG apps

February 21, 2024 | 15 min

Introducing Cloudlens - Cloud Console in your terminal

Chinmay Naik

Founder, CEO @One2N

If you're a fan of k9s for Kubernetes, you'll love Cloudlens. It's a Terminal-based UI (TUI) for exploring AWS and GCP cloud resources. This talk was presented by Chinmay Naik at Google's DevFest Chennai in 2023. GitHub Repo: https://github.com/one2nc/cloudlens

February 21, 2024 | 15 min

Introducing Cloudlens - Cloud Console in your terminal

Chinmay Naik

Founder, CEO @One2N

If you're a fan of k9s for Kubernetes, you'll love Cloudlens. It's a Terminal-based UI (TUI) for exploring AWS and GCP cloud resources. This talk was presented by Chinmay Naik at Google's DevFest Chennai in 2023. GitHub Repo: https://github.com/one2nc/cloudlens

February 21, 2024 | 15 min

Introducing Cloudlens - Cloud Console in your terminal

Chinmay Naik

Founder, CEO @One2N

If you're a fan of k9s for Kubernetes, you'll love Cloudlens. It's a Terminal-based UI (TUI) for exploring AWS and GCP cloud resources. This talk was presented by Chinmay Naik at Google's DevFest Chennai in 2023. GitHub Repo: https://github.com/one2nc/cloudlens

February 21, 2024 | 15 min

Introducing Cloudlens - Cloud Console in your terminal

Chinmay Naik

Founder, CEO @One2N

If you're a fan of k9s for Kubernetes, you'll love Cloudlens. It's a Terminal-based UI (TUI) for exploring AWS and GCP cloud resources. This talk was presented by Chinmay Naik at Google's DevFest Chennai in 2023. GitHub Repo: https://github.com/one2nc/cloudlens

February 21, 2024 | 15 min

Introducing Cloudlens - Cloud Console in your terminal

Chinmay Naik

Founder, CEO @One2N

If you're a fan of k9s for Kubernetes, you'll love Cloudlens. It's a Terminal-based UI (TUI) for exploring AWS and GCP cloud resources. This talk was presented by Chinmay Naik at Google's DevFest Chennai in 2023. GitHub Repo: https://github.com/one2nc/cloudlens

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