AWS Cloud Financial Management

If you’re managing your organization’s AWS spend and planning to dedicate time at 2024 re:Invent to learn about solutions that can help you better manage and optimize your AWS cost and usage, take a brief pause and read on this blog post. You will find the lineup of different sessions and workshops that are focused on popular Cloud Financial Management topics, e.g., cost allocation, planning, cost control. You can look up these sessions and reserve seats in the attendee portal of the re:Invent registration site or on your AWS Event mobile app to secure your spot.

You can use Amazon Athena, a lightweight serverless, analytics tool, to query your AWS Cost and Usage Report (CUR). This enables you to dive into your cost and usage data for spend reporting and optimization analysis. However, you may not know all the opportunities you can optimize your Amazon S3 costs by taking advantage of S3 Lifecycle configuration.

As many organizations are looking to achieve financial success through effective Cloud Financial Management (CFM) strategies, Infor, the global leading software provider, has been experimenting with different practices, from cost reporting to optimization. In this blog post, we will share their success and learning that helped achieve over $2 million in savings through automation and modernization initiatives.

This blog shows how you can automatically propagate account-level tags to AWS resources created by AWS Service Catalog. Service Catalog allows sharing of portfolios across AWS accounts and provides a TagOption library to manage tags on provisioned AWS resources. Resource tagging varies by account, so it is not part of the portfolio product configurations. We designed the solution to reduce the burden on users to a minimum, while also adopting cloud best practices such as infrastructure automation.

In part one of this blog series, we shared instructions on how you can integrate AWS Cost Anomaly Detection (CAD) notification with Atlassian Jira Service Management (read blog). In part two of the blog series, we will shed light on the integration of CAD with ServiceNow IT Service Management. ServiceNow IT Service Management offers a widely […]

Our product teams have spared no effort in the past few months developing new capabilities, so that we can bring the latest advancements to FinOps X. Let’s take a moment to recap the product announcements made at FinOps X and how they can help accomplish your FinOps goals.

Starting today, you can create exports of your AWS cost and usage data with the FinOps Open Cost and Usage Specification (FOCUS) 1.0 schema as a preview feature. For those of you who aren’t yet familiar with the FOCUS standard, FOCUS is a new open-source cloud billing data specification that provides consistency and standardization to simplify cloud cost reporting and analysis across multiple sources. With Data Exports for FOCUS 1.0 (preview), you can configure recurring delivery of your AWS cost and usage data with the FOCUS 1.0 schema to your designated Amazon S3 bucket, and use these exports for your desired FinOps activities, such as cost reporting and allocation.

We’re excited to announce that starting today AWS Billing and Cost Management provides Data Exports for Cost Optimization Hub. With Data Exports for Cost Optimization Hub, you can deliver consolidated cost optimization recommendations in CSV or parquet format to Amazon S3 on a recurring basis. You can define what data you want to include in the export using basic SQL query or column/row filters in the console. You can share exports with stakeholders, load them into your BI dashboards, or add to your Cloud Financial Management data lake.

Starting today, AWS Compute Optimizer delivers new recommendations for Amazon Relational Database Service (RDS) MySQL and PostgreSQL databases. These recommendations help you detect idle RDS instances and identify the optimal instance types and provisioned IOPS settings for your existing RDS DB instances, so you can reduce costs for idle and over-provisioned RDS DB instances or increase the performance of under-provisioned workloads.

AWS Cost Anomaly Detection uses advanced Machine Learning to identify anomalous spends and generate timely alerts, empowering our customers to take quick action. To assign, track, and manage the efforts, teams following the IT Service Management (ITSM) framework may need duly assigned incident tickets. In the era of agile practices, ITSM processes have evolved into […]