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Cloud Cost Optimization

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Categories

  • Cloud Development
  • DevOps Engineering
  • BI & Data Engineering
  • Quality Engineering
  • January 21, 2020
  • admin
  • Strategy
  • 1

Introduction: A Print Media startup that has recently migrated their applications to the cloud. They noticed that their cloud bills were increasing every month, and they wanted to optimize their cloud costs without sacrificing performance and availability.

Challenges:
  • Lack of visibility into cloud usage and spending.
  • Unused and idle resources were still running and incurring costs.
  • Over-provisioned resources were leading to unnecessary spending.
  • Difficulty in tracking and controlling cloud costs.

Solution: We as experts in Cloud and DevOps at CloudVenture Technologies, proposed the following steps to optimize Client's cloud costs:

1) Analyze current cloud usage and spending: The first step was to analyze their current cloud usage and spending. We used various tools such as CloudWatch, CloudTrail, and Cost Explorer to gain insights into their usage patterns and spending trends. We identified the top services that were driving the majority of their cloud costs.

2) Right-sizing resources: We identified resources that were over-provisioned and downsized them to their appropriate size. We also identified resources that were idle or unused and terminated them to eliminate unnecessary costs.

3) Reserved Instances: We recommended purchasing reserved instances for resources that were constantly in use, such as database servers, to reduce the on-demand costs.

4) Tagging: We implemented a tagging strategy to better track the usage and costs of different resources. This helped us to identify which resources belonged to which teams and projects and helped us to allocate costs more accurately.

5) Automation:We automated the process of shutting down non-production resources outside of business hours to reduce unnecessary costs.

6) Cloud Cost Optimization Tools: We recommended using third-party cloud cost optimization tools to gain more visibility into cloud usage and costs. We suggested using tools such as CloudCheckr, Cloudability, and Cloudyn to get detailed insights into their cloud costs and usage patterns.

Results: After implementing the above steps, Client’s was able to save 30% on their cloud costs. They were able to identify resources that were over-provisioned and terminate idle resources, resulting in significant cost savings. The implementation of the tagging strategy allowed them to allocate costs more accurately, while the automation of non-production resources outside of business hours resulted in further savings. The use of cloud cost optimization tools helped Client’s to gain more visibility into their cloud usage and costs, enabling them to make more informed decisions and optimize their cloud costs.

Conclusion: Optimizing cloud costs is an ongoing process, and Client’s continues to monitor their cloud usage and spending regularly. The implementation of the above steps helped Client’s to optimize their cloud costs without sacrificing performance and availability, resulting in significant cost savings. It's important to understand that cloud cost optimization is a continuous process that requires constant monitoring, analysis, and optimization to ensure maximum cost savings.

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