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Datadog launches Kubernetes Autoscaling to cut 83 percent idle container costs
Datadog reports that, on average, 83 percent of container spend is allocated to idle resources.
To address this inefficiency, the company has introduced its Kubernetes Autoscaling feature, which automatically optimizes resource allocation to reduce waste and maintain performance. This product aims to help organizations control infrastructure costs amid growing cloud adoption. Datadog encourages customers to learn more about this new solution via its official resources.
Datadog's latest efforts to streamline cloud infrastructure expenditure build on its ongoing push to innovate in data observability, following prior announcements such as the introduction of AI Guard and Feature Flags to bolster platform reliability. The company's commitment to advancing observability and AI was also a focal point at its recent summit on observability and AI in London, where industry leaders discussed strategies for enhancing operational efficiency and security.
This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.
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