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15 Cut Points to Save AWS Bills

Published at
10/7/2024
Categories
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costoptimization
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15 Cut Points to Save AWS Bills

1) ๐‘๐ข๐ ๐ก๐ญ-๐ฌ๐ข๐ณ๐ž ๐ข๐ง๐ฌ๐ญ๐š๐ง๐œ๐ž๐ฌ: Match instance types to your workload needs to avoid over-provisioning and reduce compute costs.

2) ๐”๐ฌ๐ž ๐’๐ฉ๐จ๐ญ ๐ˆ๐ง๐ฌ๐ญ๐š๐ง๐œ๐ž๐ฌ: Leverage AWS Spot Instances for non-critical workloads to save up to 90% on compute costs.

3) ๐’๐œ๐ก๐ž๐๐ฎ๐ฅ๐ž ๐ข๐ง๐ฌ๐ญ๐š๐ง๐œ๐ž ๐ฌ๐ก๐ฎ๐ญ๐๐จ๐ฐ๐ง๐ฌ: Use automation tools to turn off dev/test environments outside business hours. (if it's a non-critical 24*7 Resource)

4) ๐”๐ฌ๐ž ๐ฌ๐ž๐ซ๐ฏ๐ž๐ซ๐ฅ๐ž๐ฌ๐ฌ ๐ฌ๐ž๐ซ๐ฏ๐ข๐œ๐ž๐ฌ: Opt for AWS Lambda or Fargate to run code without provisioning servers, paying only for actual compute time used.

5) ๐‹๐ž๐ฏ๐ž๐ซ๐š๐ ๐ž ๐’๐š๐ฏ๐ข๐ง๐ ๐ฌ ๐๐ฅ๐š๐ง๐ฌ ๐จ๐ซ ๐‘๐ž๐ฌ๐ž๐ซ๐ฏ๐ž๐ ๐ˆ๐ง๐ฌ๐ญ๐š๐ง๐œ๐ž๐ฌ: Commit to 1- or 3-year usage plans for predictable workloads to reduce costs.

6) ๐”๐ฌ๐ž ๐’3 ๐ฅ๐ข๐Ÿ๐ž๐œ๐ฒ๐œ๐ฅ๐ž ๐ฉ๐จ๐ฅ๐ข๐œ๐ข๐ž๐ฌ: Move infrequently accessed data to cheaper storage classes like S3 Glacier.

7) ๐”๐ฌ๐ž ๐๐ซ๐ข๐ฏ๐š๐ญ๐ž ๐ˆ๐๐ฌ ๐Ÿ๐จ๐ซ ๐ข๐ง๐ญ๐ž๐ซ-๐ฌ๐ž๐ซ๐ฏ๐ข๐œ๐ž ๐œ๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐œ๐š๐ญ๐ข๐จ๐ง: Ensure services communicate over private IPs within the same VPC to avoid public data transfer costs.

8) ๐Ž๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐ž ๐๐š๐ญ๐š ๐ญ๐ซ๐š๐ง๐ฌ๐Ÿ๐ž๐ซ: Use AWS PrivateLink or Direct Connect for internal data transfers to avoid public data transfer charges.

9) ๐”๐ฌ๐ž ๐œ๐š๐œ๐ก๐ข๐ง๐ : Implement caching with CloudFront or ElastiCache to reduce backend compute and data transfer costs.

10) ๐Œ๐จ๐ง๐ข๐ญ๐จ๐ซ ๐ฎ๐ง๐ฎ๐ฌ๐ž๐ ๐ซ๐ž๐ฌ๐จ๐ฎ๐ซ๐œ๐ž๐ฌ: Use cost management tools to find and terminate idle resources like unused EBS volumes or Elastic IPs.

11) ๐ˆ๐ฆ๐ฉ๐ฅ๐ž๐ฆ๐ž๐ง๐ญ ๐š๐ฎ๐ญ๐จ-๐ฌ๐œ๐š๐ฅ๐ข๐ง๐ : Automatically scale your instances to handle traffic spikes and downscale during off-peak times.

12) ๐‚๐จ๐ง๐ฌ๐จ๐ฅ๐ข๐๐š๐ญ๐ž ๐‚๐ฅ๐จ๐ฎ๐๐–๐š๐ญ๐œ๐ก ๐ฅ๐จ๐ ๐ฌ: Use CloudWatch log groups efficiently to avoid unnecessary data retention costs.

13) ๐‹๐ž๐ฏ๐ž๐ซ๐š๐ ๐ž ๐€๐‘๐Œ-๐›๐š๐ฌ๐ž๐ ๐ข๐ง๐ฌ๐ญ๐š๐ง๐œ๐ž๐ฌ: Use AWS Graviton-based instances for workloads that support ARM architecture for better cost-performance.

14) ๐Œ๐ข๐ง๐ข๐ฆ๐ข๐ณ๐ž ๐œ๐ซ๐จ๐ฌ๐ฌ-๐ซ๐ž๐ ๐ข๐จ๐ง ๐๐š๐ญ๐š ๐ญ๐ซ๐š๐ง๐ฌ๐Ÿ๐ž๐ซ๐ฌ: Keep services in the same AWS region to avoid inter-region data transfer fees. (to achieve high availability, you can keep minimum resources running in other AZs or run in standby mode)

15) ๐‚๐จ๐ฆ๐ฉ๐ซ๐ž๐ฌ๐ฌ ๐š๐ง๐ ๐จ๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐ž ๐๐š๐ญ๐š: Reduce data transfer sizes by compressing files before sending between services.

Did I miss any important points? please add in the comment section below!

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