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Case Studies

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Homogeneous Monitoring across Cloud and On-premise

Monitor CPU, Memory, and Disk Utilization of the host systems and application containers. We needed a uniform solution to fetch metrics across AWS, GCP and on-premise data centers. All metrics should be stored and served from a single storage backend for uniformity, visualization and alerting.

Learn More

Read Case Study

Homogeneous Monitoring across Cloud and On-premise

Monitor CPU, Memory, and Disk Utilization of the host systems and application containers. We needed a uniform solution to fetch metrics across AWS, GCP and on-premise data centers. All metrics should be stored and served from a single storage backend for uniformity, visualization and alerting.

Learn More

Read Case Study

Homogeneous Monitoring across Cloud and On-premise

Monitor CPU, Memory, and Disk Utilization of the host systems and application containers. We needed a uniform solution to fetch metrics across AWS, GCP and on-premise data centers. All metrics should be stored and served from a single storage backend for uniformity, visualization and alerting.

Learn More

Read Case Study

Homogeneous Monitoring across Cloud and On-premise

Monitor CPU, Memory, and Disk Utilization of the host systems and application containers. We needed a uniform solution to fetch metrics across AWS, GCP and on-premise data centers. All metrics should be stored and served from a single storage backend for uniformity, visualization and alerting.

Learn More

Read Case Study

Homogeneous Monitoring across Cloud and On-premise

Monitor CPU, Memory, and Disk Utilization of the host systems and application containers. We needed a uniform solution to fetch metrics across AWS, GCP and on-premise data centers. All metrics should be stored and served from a single storage backend for uniformity, visualization and alerting.

Learn More

Talks

Watch Talk

Avoid overengineering & big ball of mud 7 lessons for maintaining the balance

Chinmay Naik

CEO @One2N

Teams in technology companies are often in a “tug of war” with themselves. They have to balance between “over-engineering” on one side and a “big ball of mud” on the other. They must maintain this balance to build software for today that can also scale for tomorrow. This talk covers how to do that.

April 1, 2024 | 28 min

Watch Talk

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