Cloud waste is a problem. It plagues organizations, creating unnecessary expenses and reduced efficiency. To address this, organizations have turned to traditional cloud cost management tools that focus primarily on identifying idle resources and underutilized instances. Frequently, the recommendations from these tools result in either downsizing or termination; their scope is limited, which in turn limits the savings their users can achieve.

Traditional, current cost management tools are limited. The reason is that they are fixated on information originating from a cloud provider’s billing reports, while ignoring crucial usage and performance data companies needed to produce more accurate recommendations and deeper context. Their inaccurate recommendations and limited context don’t empower data-driven decision-making. Engineers instead waste their time investigating inaccurate recommendations and false positives.

These companies are only scratching the surface of savings potential. They can’t spot inefficiencies from idle, underused resources. They limit cost optimization in a way that harms the business.

That’s where DeepWaste Detection comes in.

What is DeepWaste Detection?

DeepWaste Detection goes beyond surface-level waste identification and delves into the root causes of excessive cloud spending. Leveraging AI and advanced algorithms to pinpoint hidden inefficiencies, it analyzes billing and financial data, as well as telemetry on usage patterns, to provide actionable recommendations so companies can save money.

Real-time visibility matters. It empowers engineers to immediately spot problems and mitigate them rather than forcing a company to operate on monthly or quarterly reporting that only exacerbates costs.

DeepWaste Detection ultimately enables organizations to dive deep into their cloud architecture to gain real-time visibility into various inefficiencies that are often overlooked by other, conventional tools. This includes identifying things like bad architecture, misconfigurations of managed services, and Kubernetes (K8s) waste, among others. 

Selecting the Right Partner for Cloud Waste Reduction

You want to make the most of your cloud investments, but you can’t do it alone. When choosing a partner to better enable cloud cost optimization, organizations should keep several factors in mind. These include: 

• Detection Capabilities: Evaluate the range of waste categories covered, the frequency of new detection additions, the breadth of supported cloud services, and the accuracy of the recommendations. You should have full visibility into all the inefficiencies and savings opportunities in your environment and see new opportunities populate in real-time.
• Remediation Capabilities: Assess the level of context provided, the ability to attribute waste to specific engineers, integration with ticketing systems, automated notifications, opportunity grouping, and one-click remediation features. For example, you should be able to see every flagged inefficiency, understand why it was flagged, and know which team is responsible for mitigating it.
• Research and Development: Ask about the presence of a dedicated research team that continuously refines and expands detection capabilities. By outsourcing your research, you can continue to focus on your business objectives without wasting internal resources on digesting cloud billing and usage data, complex cost and ROI calculations, performance considerations, cloud tooling limitations, and marginal edge cases to uncover actionable savings opportunities.

PointFive’s DeepWaste Detection offers all of the above.

PointFive’s DeepWaste Detection Adds Value

PointFive’s groundbreaking DeepWaste Detection™ technology solves a broad spectrum of cloud inefficiencies, turning your engineering teams into efficiency champions. 

Leveraging DeepWaste Detection offers organizations a variety of features and benefits that add value to any organization, including:

• Rapid Visibility: In only 24 hours, gain full, comprehensive visibility into ways to save across your cloud environment.
• Real-time Monitoring: Continuously monitor your cloud environment to ensure new inefficiencies are detected and flagged as they arise.
• Tailored Recommendations: AI-powered algorithms provide customized recommendations that align with specific usage patterns and anticipate future needs.
• Coverage of Overlooked Services: Dive deep to inspect all of your cloud services, including those often overlooked like DynamoDB and Elasticache savings.
• Uncover Deep Inefficiencies: Dig into inefficiencies related to architecture and misconfiguration of managed services.

Today’s traditional detection capabilities lack the depth of visibility organizations need to fully comprehend the substantial amount of money wasted on inefficient practices. With DeepWaste Detection, though, organizations can uncover up to 10 times more saving opportunities, enabling them to achieve unprecedented levels of cloud productivity.

The Future of Cloud Cost Optimization

We’re on the cusp of a paradigm shift in cloud cost optimization. By addressing the underlying causes of waste and providing actionable insights, this innovative technology empowers organizations to maximize their cloud investments and drive sustainable growth. Those who understand this now — who embrace DeepWaste Detection from the start — will reap the rewards immediately, and continue to do so for years to come. 

Want to learn more? Book a demo and we’ll show you just what DeepWaste Detection can do for you.