Service Catalog

the service catalog is a centralized view of all the services your organization has used it serves as a dynamic reference that provides visibility into what services are being consumed and how much they cost at its core, the catalog helps you understand service costs across all cloud providers compare public list rates to your negotiated contracted rates inform budget planning start by navigating to the service catalog page by finding it on the left navigation list in the manage section or by using this link https //ui amberflo io/it spend/service catalog/allocated costs how to explore the catalog to begin exploring rates, use the following filters provider e g aws, microsoft azure, google cloud platform (gcp) service names these refer to the individual cloud services you’ve used examples include aws lambda, ec2, s3 azure virtual machines, blob storage gcp compute engine, cloud storage service categories services are grouped into broader categories for easier browsing for example compute aws ec2, azure virtual machines, gcp compute engine storage aws s3, azure blob storage, gcp cloud storage messaging aws sns/sqs, azure service bus, gcp pub/sub these filters help you quickly locate relevant services and assess the cost implications of different options this is ideal when planning new projects or evaluating architecture changes viewing rate details once you select a service, clicking on a row opens the detailed rate breakdown here, you can further filter by region view rates by region (e g , us east 1 for aws, eastus for azure, us central1 for gcp) rate types understand how services are priced examples include gb month (storage) vcpu hour (compute) requests (api calls) notifications data transfer gb read/write operations descriptions each rate includes a detailed description of the charge these charge descriptions are derived from the finops foundation’s focus billing specification and describe exactly what is being billed for example “aws lambda total compute (provisioned) for arm us west (oregon)” “$0 03 per gb mo of log storage us west (oregon)” these details help you understand cost drivers, identify areas of heavy usage, and validate invoices or forecasts