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DoiT Acquires PerfectScale: Elevating Kubernetes Cost Optimization for FinOps

At DoiT, we’re always looking for ways to push the boundaries of cloud cost optimization. Today, we’re thrilled to announce our acquisition of PerfectScale, a cutting-edge Kubernetes optimization solution, marking a significant milestone in the FinOps space. 

As organizations increasingly adopt Kubernetes orchestration for containerized workloads, managing cost efficiency and performance has become a growing challenge. By adding PerfectScale’s technology, DoiT customers can address these challenges head-on with an unparalleled level of automation and financial oversight.

Why Kubernetes?

Kubernetes has rapidly become the go-to platform for managing containerized workloads, with thousands of companies leveraging its power. However, its complexity often leads to inefficient resource allocation and unnecessary spending. At DoiT, we’ve been focused on building autonomous cost optimization solutions that go beyond simple cost visibility; they need to be able to take action on behalf of the customer so that they can remain focused on developing new applications and growing their business. 

With Kubernetes becoming a common denominator across our 4,000+ customers, it was clear that expanding our capabilities in this area was a natural next step. But we didn’t just want any Kubernetes solution—we wanted the best. That’s where PerfectScale comes in.

Meet PerfectScale: A Game-Changer in Kubernetes Optimization

PerfectScale was founded in 2022 with a bold vision: to create an autonomous Kubernetes optimization solution that provides both cost efficiency and operational excellence across AWS, Google Cloud, Azure, and RedHat environments. The company quickly gained traction, onboarding major enterprise customers like Paramount Pictures and receiving recognition from Gartner as a Cool Vendor

The solution delivers a seamless onboarding experience, an intuitive UI, and a powerful autonomous optimization engine that ensures Kubernetes environments run efficiently with minimal human intervention.

Three key factors set PerfectScale apart from other Kubernetes solutions on the market:

  • Ease of onboarding: As a SaaS product, PerfectScale can be deployed quickly with a single Helm command, enabling customers to optimize dozens of clusters simultaneously
  • Intuitive usability: Unlike other tools that focus solely on cost reduction, PerfectScale takes a holistic approach by ensuring that Kubernetes clusters are optimized for performance, resiliency, and financial efficiency
  • Exceptional ROI: PerfectScale’s rapid success stems from its ability to provide both predictive and historical insights into Kubernetes environments, helping organizations identify inefficiencies before they become costly problems

The platform’s automation capabilities minimize human intervention, allowing DevOps, SREs, and FinOps teams to align around shared business objectives without getting bogged down by infrastructure complexities. 

These capabilities align perfectly with DoiT’s mission to provide actionable, automated FinOps solutions that simplify cloud complexity.

What This Means for DoiT Customers

For our customers, this acquisition is a game-changer. By adding PerfectScale’s autonomous Kubernetes optimization to the value already provided by DoiT Cloud Intelligence™, we’re adding another layer of proactive cost savings and performance enhancements—without requiring additional manual effort.

We’ve always differentiated ourselves from other FinOps providers by offering more than just cost monitoring. While many solutions focus on visibility or only support one cloud, we take it a step further by delivering automated solutions, actionable recommendations, and hands-on support to implement those optimizations across multicloud environments. With PerfectScale, we’re now extending that same automated, hands-off optimization approach to Kubernetes clusters.

In short, our customers will:

  • Eliminate Kubernetes waste with continuous, autonomous optimization
  • Improve performance and reliability without overprovisioning resources
  • Gain deeper insights into Kubernetes cost structures with predictive and historical analysis
  • Reduce operational burden by automating governance and policy enforcement

The Future of FinOps with DoiT

This acquisition reinforces DoiT’s leadership in the FinOps space. With Kubernetes adoption growing exponentially, organizations need intelligent, automated solutions that simplify cost management without sacrificing performance. By bringing PerfectScale into the DoiT family, we’re not only addressing today’s challenges but also shaping the future of Kubernetes cost optimization.

As we continue expanding our FinOps capabilities, our focus remains the same: empowering businesses to effortlessly optimize their cloud environments. We’re excited about what’s ahead and can’t wait for our customers to experience the benefits of this new chapter.

Welcome to the future of FinOps. Welcome to smarter Kubernetes optimization. Welcome to PerfectScale by DoiT.

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6 Responses

  1. Very useful guide.
    The link to calculate the optimal amount of slots doesn’t work (“BQ SE max configuration.sql”), can you fix it please?

  2. ec2 instance connect appears to be locked down to SSH and RDP protocols (ports 22 and 3389 only), meaning you can’t use it for databases in the way this post suggests. You still need to ssh to some instance then connect to the DB from there – the advantage is you don’t need to expose that ec2 instance publicly.

    If you go through the above guide, you’ll just get the following error:

    awscli.customizations.ec2instanceconnect.websocket – ERROR – {“ErrorCode”:”InvalidParameter”,”Message”:”The specified RemotePort is not valid. Specify either 22 or 3389 as the RemotePort and retry your request.”}

    did you actually try the above out successfully?

    also discussed here: https://repost.aws/questions/QU_h42-ck0R-alITadXrrXSQ/rds-configuration

  3. ec2 instance connect appears to be locked down to SSH and RDP protocols (ports 22 and 3389 only), meaning you can’t use it for databases in the way this post suggests. You still need to ssh to some instance then connect to the DB from there. If you go through the above guide, you’ll just get the following error: awscli.customizations.ec2instanceconnect.websocket – ERROR – {“ErrorCode”:”InvalidParameter”,”Message”:”The specified RemotePort is not valid. Specify either 22 or 3389 as the RemotePort and retry your request.”} did you actually try the above out successfully? also discussed here: https://repost.aws/questions/QU_h42-ck0R-alITadXrrXSQ/rds-configuration

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