Press release
Datadog Announces Kubernetes Autoscaling to Help Teams Intelligently Optimize Resources and Cloud Costs
New feature provides increased control and automation for Kubernetes environments NEW YORK, June 26, 2024 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the
About this update from Datadog, Inc.
[{"type":"text","content":"New feature provides increased control and automation for Kubernetes environments\nNEW YORK, June 26, 2024 /PRNewswire/ -- Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced Datadog Kubernetes Autoscaling, a set of capabilities that intelligently automates resource optimization and can automatically scale customers' Kubernetes environments based on real-time and historical utilization metrics. With this announcement, Datadog is the first observability vendor to enable customers to make changes to their Kubernetes environments directly from the platform.\n\n \n \n \n \n \n \n\n \nWhen deploying applications on Kubernetes, teams often choose to overprovision resources as a way to avoid infrastructure capacity issues from impacting end users. This can lead to a large amount of wasted compute and increased cloud costs. In fact, according to Datadog's recent report, State of Cloud Costs 2024, 83% of container costs were associated with idle resources. For this reason, it's critical organizations have a solution in place which can monitor resource usage and optimize infrastructure performance and computing costs while ensuring applications remain performant with enough resources to scale.\nDatadog Kubernetes Autoscaling continuously monitors and automatically rightsizes Kubernetes resources. This leads to significant cost savings for an organization's cloud infrastructure and helps to ensure optimal application performance for workloads, improved user experiences and better ROI on container assets. Customers are able to identify workloads and clusters with a high number of idle resources, implement a one-time fix through intelligent automation or enable Datadog to automatically scale the workload on an ongoing basis. These new capabilities empower operators to decide the right balance on cost and user experience based on their risk profiles.\n\"Containers are a leading area of wasted spend because so many costs are associated with idle resources, but organizations also can't risk degrading performance or not having enough resources to scale. The key for businesses is to find a balance between control and automation where they can automate actions when they are ready,\" said Yrieix Garnier, VP of Product at Datadog. \"Datadog Kubernetes Autoscaling provides this balance. By connec...