I am a technology journalist with three decades of press experience. Primarily I work as a news analysis writer dedicated to a software application development ‘beat’. I have spent much of the last twenty years focusing on open source, analytics & data science, cloud computing, mobile devices & data management.
Playset after being pulled from the shelf at the Cut Rate Toys toy store September 5, 2007 in Chicago, Illinois. The toy was among nearly a million Chinese-made toys being recalled by Mattel on the heals of a recall of about 9 million last month mostly, like this dog, due to high lead amounts in the paint. Cloud is powerful. We know that cloud computing services are capable of delivering flexibly controllable computing processing, data analytics and storage power in potentially huge quantities.
Without any form of monitoring, organizations remain unaware of actual spend and over-allocated cloud resources. Because we know that calculating Kubernetes costs using manual methods is time-consuming and often inaccurate, organizations often find that can provide little insight into the root causes behind cost increases. As a result, platform and FinOps teams are siloed and starved of insights that would inform meaningful action.
“Kubernetes users have not had a path to maximize their cloud ROI with the market’s lack of a cohesive solution to inform, optimize, and automate Kubernetes cost reporting. We’re excited to close that loop by seamlessly integrating our ML-driven, automated Kubernetes optimization with CloudBolt’s Augmented FinOps platform,” said
Finops Cloudbolt Augmented Finops Cloud Service Provider
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