“Slash Your Cloud Expenses with ScaleOps’ Automated Kubernetes Setup”

That was supposed to help solve a resource allocation problem because the containers should run just long enough to handle the job. But as Kubernetes environments have grown increasingly complex, it has created another set of problems as engineering teams have to manually change the Kubernetes configurations to handle shifting needs. It resulted in a lot of engineering time spent configuring resources and the end result was often inflated cloud bills. At a time when companies are looking to save on their cloud bills, he sees an opportunity to grow. ScaleOps has 30 employees today with plans to double that number by the end of next year.

“One of the advantages of using Kubernetes to handle container orchestration is that the containers are ephemeral, living only as long as needed and then going away,” says Yodar Shafrir, co-founder and CEO of ScaleOps.

Kubernetes has been a game-changing technology in the world of containerization. Its ability to manage containers that are short-lived and automatically disappear once their purpose is fulfilled has been a major benefit. However, as Kubernetes environments have become more complicated, it has also brought forth new challenges. A common issue now faced by engineering teams is constantly adjusting Kubernetes configurations to accommodate changing demands.

Furthermore, in the pursuit of keeping workloads up and running at all times, companies often over-allocate resources, leading to exorbitant cloud bills. ScaleOps, a promising startup, aims to address this problem. Instead of relying on static allocations and making manual adjustments, they have developed a dynamic system that adapts to the immediate needs of the workload. Today, the company has announced a $21.5 million Series A funding round.

ScaleOps’ co-founder and CEO, Yodar Shafrir, recalls facing the issue of over-allocation during his time at a previous company. He noticed that a significant amount of engineering time was spent on configuring resources, resulting in inflated cloud bills.

“We see waste of between 70% to 80% on containers that are over-provisioned,” Shafrir shares his observation with TechCrunch. “So we realized that the only way to free the engineers from this repetitive configuration and allow them to focus on what truly matters is to fully automate the resource allocation process.”

The company has developed a user-friendly dashboard that showcases available workloads and the potential savings that can be achieved by using ScaleOps’ automated configuration. Customers typically start with a single workload to test its efficacy and gradually expand to automate more workloads.

In the current climate where companies are looking for ways to optimize their cloud expenses, ScaleOps sees great potential for growth. Having launched in 2022, the company now boasts of a few dozen paying customers who are managing thousands of Kubernetes clusters using ScaleOps’ product. Some notable customers include Wiz, Coralogix, and Outbrain. With 30 employees at present, ScaleOps plans to double its workforce by the end of next year.

The company’s Series A was led by Lightspeed Venture Partners, alongside NFX and Glilot Capital Partners, who share their confidence in ScaleOps’ disruptive solution.

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Max Chen

Max Chen is an AI expert and journalist with a focus on the ethical and societal implications of emerging technologies. He has a background in computer science and is known for his clear and concise writing on complex technical topics. He has also written extensively on the potential risks and benefits of AI, and is a frequent speaker on the subject at industry conferences and events.

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