Checkpoint: Centralizing Cloud Efficiency with Wiv.ai's Tailored FinOps Automation

Checkpoint faced a complex cloud management challenge due to its decentralized structure, where multiple products operated like independent businesses. With hundreds of AWS accounts to manage, cloud waste was becoming a significant issue. Wiv.ai stepped in, providing Checkpoint with a tailored FinOps automation solution that centralized cloud efficiency, reduced idle resources, and implemented smart scheduling for development environments. Wiv.ai’s platform enabled Checkpoint to streamline cloud cost management while adhering to strict corporate policies, resulting in significant savings and enhanced operational control.

Checkpoint’s cloud infrastructure, spanning AWS, Azure, and GCP services such as databases, VMs, and storage solutions, was spread across numerous teams, each with its own resource ownership and management processes. They faced several challenges:

• Cloud Waste: Excessive cloud costs from idle or underutilized resources, such as databases, stopped VMs, and unused storage, without an efficient way to identify relevant remediation opportunities.
• Decentralized Management: Difficulty in managing resources across a fragmented organizational structure, where each product operated independently across multiple cloud platforms.
• Precision in Remediation: Avoiding false positives while ensuring that optimization actions aligned with corporate governance and compliance requirements.

Checkpoint turned to Wiv.ai for a comprehensive FinOps solution to automate cloud resource management across their complex infrastructure. Wiv.ai addressed their challenges by:

• Contextual Waste Identification: Pinpointing relevant idle resources, reducing noise, and focusing on impactful remediation aligned with Checkpoint’s policies.
• Auto-Mapping Resource Ownership: Enabling accurate cost allocation and enhanced accountability by mapping resources to the right teams and product lines.
• Automated Approvals and Auditing: Ensuring all actions went through approval workflows and continuous auditing to maintain compliance with corporate security standards.
• Intelligent Dev Environment Scheduling: Automatically shutting down non-production environments during weekends based on account owner locations, reducing costs.

The implementation of Wiv.ai brought significant improvements to Checkpoint:

• Substantial Cost Savings: AWS cloud waste was reduced by 65% in development environments within six months due to automated waste identification and scheduling.
• Increased Precision: A 20% increase in the accuracy of remediation actions, thanks to fewer false positives and a focus on relevant opportunities.
• Optimized Resource Usage: Smart scheduling cut weekend cloud costs by 25%, improving resource efficiency across global teams.
• Centralized Management: Despite a decentralized structure, Checkpoint centralized cloud cost management while maintaining team autonomy, creating a unified FinOps strategy.

The collaboration between Checkpoint and Wiv.ai highlights how tailored FinOps automation effectively addresses complex cloud management challenges. By centralizing cost governance, minimizing cloud waste, and automating critical processes, Checkpoint achieved significant savings and built a scalable, efficient cloud management system aligned with both operational goals and corporate policies. Wiv.ai remains a key strategic partner in Checkpoint’s ongoing journey toward long-term cloud optimization and operational excellence.