Gathr Case Studies Cloud Cost Management

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	Cloud Cost Management Gathr

Cloud Cost Management

Gathr

Technology Category	Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Services	Cloud Planning, Design & Implementation Services
Challenge	The company, a global leader in insurance broking and risk advisory with a presence in 130 countries and a headcount of 45,000, was facing difficulties in monitoring its cloud resources. The challenges included a lack of centralized cloud cost monitoring, control over dangling and idle resources, visibility into cloud costs for development teams, and anomaly detection and predictive capabilities. Read More
About Customer	The customer is a global leader in insurance broking and risk advisory. They have a significant presence, operating in 130 countries around the world. The company has a large workforce, with a headcount of 45,000 employees. They were facing challenges in monitoring their cloud resources, which was impacting their ability to effectively manage costs and optimize their operations. Read More
Solution	The company implemented the Gathr Cloud Cost Management solution for continuous cost optimization of its enterprise data lake on AWS. Gathr helped in defining and implementing formal tagging policy and guidelines for all the development teams for their AWS resources. The solution included automated monitoring of idle, unused, long-running resources, automated termination of idle instances in lower environments, automated start/stop of lower environments over the weekends, use of spot instances wherever applicable, and implementation of S3 lifecycle policies. Read More Log in to view content
Contents

Technology Category

Infrastructure as a Service (IaaS) - Cloud Computing

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Services

Cloud Planning, Design & Implementation Services

Challenge

The company, a global leader in insurance broking and risk advisory with a presence in 130 countries and a headcount of 45,000, was facing difficulties in monitoring its cloud resources. The challenges included a lack of centralized cloud cost monitoring, control over dangling and idle resources, visibility into cloud costs for development teams, and anomaly detection and predictive capabilities.

About Customer

The customer is a global leader in insurance broking and risk advisory. They have a significant presence, operating in 130 countries around the world. The company has a large workforce, with a headcount of 45,000 employees. They were facing challenges in monitoring their cloud resources, which was impacting their ability to effectively manage costs and optimize their operations.

Solution

The company implemented the Gathr Cloud Cost Management solution for continuous cost optimization of its enterprise data lake on AWS. Gathr helped in defining and implementing formal tagging policy and guidelines for all the development teams for their AWS resources. The solution included automated monitoring of idle, unused, long-running resources, automated termination of idle instances in lower environments, automated start/stop of lower environments over the weekends, use of spot instances wherever applicable, and implementation of S3 lifecycle policies.

Impact #1	The Gathr Cloud Cost Management solution helped in achieving an average of USD 50K Monthly Savings with Continuous Cost Monitoring and Optimization.
Impact #2	The engineering teams now get an accurate assessment of the costs.
Impact #3	The solution has enabled automated actions on threshold violations and made anomaly detection and forecasting simpler.

Impact #1

The Gathr Cloud Cost Management solution helped in achieving an average of USD 50K Monthly Savings with Continuous Cost Monitoring and Optimization.

Impact #2

The engineering teams now get an accurate assessment of the costs.

Impact #3

The solution has enabled automated actions on threshold violations and made anomaly detection and forecasting simpler.

Benefit #1	Achieved an average of USD 50K Monthly Savings
Benefit #2	Improved hybrid cloud visibility for all teams
Benefit #3	Enabled automated actions on threshold violations

Benefit #1

Achieved an average of USD 50K Monthly Savings

Benefit #2

Improved hybrid cloud visibility for all teams

Benefit #3

Enabled automated actions on threshold violations

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Overview

Cloud Cost Management

Operational Impact

Quantitative Benefit