Datadog has launched a new product to help companies manage the increasing costs of cloud storage, which are rising due to the growth of data-heavy tasks and artificial intelligence.
The new tool, called Storage Management, is now available for Amazon S3 users and is being tested for Google Cloud Storage and Azure Blob Storage.
Datadog's Storage Management tool gives teams detailed insights into cloud backup usage, right down to specific data areas (like buckets and prefixes). This helps identify costs from rarely used, temporary, or duplicate data, showing exactly which teams or projects are causing the spending. With full visibility into how data is used and accessed, as well as stored, the tool helps enforce better data management policies, like retention and tiering. It also offers proactive monitoring, alerting users to unexpected changes or cost spikes. The tool provides solution to save money, like archiving, re-tiering, discarding unnecessary data, etc.
The rising utilization of AI and the large datasets required for training as well as deployment have bolstered cloud monitoring costs, which is creating the demand to leverage this tool. IT and operations teams usually face difficulties targeting exactly where these costs are arising from within large data storage systems. Without proper analysis of usage methods in detail, it's tedious to apply potent data management policies, leading to unnecessary expenses along with the need for manual attention.
Storage Management works with Datadog's Cloud Cost Management tool, giving extra knowledge into object storage. This helps operations and finance teams track trends and recognize cost drivers, as well as implement cost control measures as part of cloud governance. Starting with Amazon S3 and previews for other platforms, Datadog aims to tackle rising, unpredictable cloud costs for enterprises as cloud spending grows worldwide.
Executive Statement
According to Yrieix Garnier, VP of Product, Datadog, for companies building AI products, data storage and processing is consistently the third-highest contributor to cost—greater than expenses for AI model training and inferencing. With Datadog Storage Management, teams are empowered to optimize cloud storage costs and prevent unexpected spending. By rightsizing these costs, companies can keep their focus on building better products as well as bringing them to market.
