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A FinOps Guide to AWS DynamoDB Reserved Capacity
Overview In the pursuit of cloud financial efficiency, organizations often focus on compute and storage costs, sometimes overlooking the significant financial impact of NoSQL databases. For workloads running on Amazon Web Services (AWS), Amazon DynamoDB can become a major line item as applications scale. Fortunately, AWS provides a powerful financial instrument to manage these costs: […]
Cutting Costs on Idle AWS Transfer Family Servers
Overview In cloud financial management, the most significant savings often come from eliminating waste—resources that are provisioned and billed but provide no business value. While teams frequently focus on idle compute or storage, managed services like AWS Transfer Family can be a surprising source of unnecessary spend. This service simplifies file transfers but introduces a […]
Eliminating Hidden Waste: A FinOps Guide to Idle AWS OpenSearch Serverless Collections
Overview In the world of cloud financial management, “serverless” often implies a direct correlation between usage and cost. While this holds true for many services, the architecture of Amazon OpenSearch Serverless presents a notable exception. To ensure low-latency performance for search and indexing, the service maintains a minimum provisioned capacity, even when there is zero […]
Eliminating Cloud Waste: A FinOps Guide to Idle AWS Aurora Read Replicas
Overview Optimizing cloud spend is a core discipline for any modern FinOps team, and relational databases are often a significant line item on the bill. Within Amazon Web Services (AWS), one of the most common sources of unnecessary expenditure is the presence of idle or underutilized Amazon Aurora Read Replicas. These resources, while essential for […]
Optimizing AWS S3 Costs with Intelligent-Tiering: A FinOps Playbook
Overview Amazon Simple Storage Service (S3) is a cornerstone of the AWS cloud, but its flexibility can lead to significant and often overlooked costs. Historically, optimizing S3 expenses required teams to predict data access patterns and manually apply lifecycle policies to move data between storage classes like Standard and Glacier. This manual approach is prone […]
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