About Wiv
Wiv.ai is on a mission to solve one of the biggest challenges in cloud cost management: execution at scale. In large organizations, FinOps teams face thousands of open items—cost anomaly alerts, idle resources, and optimization opportunities—but lack the capacity to address them all. What happens? Teams try to focus on the highest-impact items while countless savings opportunities remain untapped.
Wiv’s solution is revolutionary: a tailored FinOps automation platform that not only identifies savings opportunities but executes the remediation process end-to-end. Their secret sauce lies in customizable workflows that adapt to each organization’s specific definition of waste and cost anomalies. When a customer implements Wiv automation—for instance, to terminate idle instances—they see thousands of dollars in savings instantly, with ROI calculated in real-time.
Behind this powerful platform stands an engineering team that faced its own technical challenge: debugging a complex microservices architecture. By implementing Lumigo and Copilot, Wiv has transformed its troubleshooting process, reducing resolution time from minutes to seconds and enabling Wiv to focus on its core mission: helping organizations automate FinOps processes at scale.
The Technical Challenge
For Wiv, building on serverless architecture was a strategic business decision. “As a startup, serverless is incredibly cost-effective. No usage, we don’t pay. We can pay as we scale,” explains Gil Rozen, Co-Founder and CTO at Wiv. Their AWS Lambda-based infrastructure minimizes overhead and accelerates development, allowing them to get new features to market quickly and efficiently.
But this architectural choice comes with a significant debugging challenge. “As we’re distributed in different Lambdas and different services, starting to investigate and debug is very challenging. It’s a tedious, slow process,” says Rozen. The team found themselves wasting valuable time digging through CloudWatch logs and metrics, which provided only minimal insights.
Engineers lost productivity switching between multiple tools and dashboards, and collaboration suffered without a shared view of system behavior. For a growing company with ambitious goals, these inefficiencies had to be eliminated.
From Fragmented to Unified Observability
Wiv began searching for a solution and discovered Lumigo. The first impression was immediate and powerful. “When we saw our Lambda functions in Lumigo displaying Invocations, Errors, Duration, Memory, Cost, and even Cold Starts all in one place, we knew we’d found exactly what we needed,” Rozen recalls. “With Lumigo, I can go directly to an issue, see everything I need in one place, and solve problems in seconds. Seeing exactly what happened, instantly and clearly—that’s Lumigo’s superpower.”
With Lumigo implemented, Wiv established both reactive and proactive monitoring workflows. When alerts arrive in Slack, engineers can immediately access Lumigo to view transaction flows, logs, and errors in one centralized location. Proactively, they began reviewing dashboards to spot trends and potential issues before customers noticed anything wrong.
The Copilot Revolution: AI-Powered Observability
Lumigo Copilot represents a quantum leap in observability intelligence. Unlike other AI solutions that rely on limited datasets, Lumigo Copilot is built on a foundation of comprehensive data capture, including HTTP payloads, which most observability tools ignore. This data-rich foundation means Lumigo Copilot isn’t just fast; it’s exceptionally accurate and context-aware, positioning it as the most intelligent AI in the observability space. For Wiv, this intelligence transformed their already-improved debugging workflow into something truly exceptional.
“Investigations that used to take minutes now take seconds,” says Rozen. Lumigo Copilot’s intelligent alerts in Slack allow the team to understand issues instantly. By clicking the Copilot button on an alert, engineers receive immediate explanations without leaving their communication channels.
“The resolution of the issue is there in a few seconds. The amount of time saved is powerful and crucial for high-scale production systems like ours.” – Gil Rozen, Co-Founder and CTO, Wiv.
Beyond mere speed, Copilot fosters better team collaboration. When issues are escalated, everyone can review Copilot’s analysis together and decide on actions, improving internal communication. For complex transaction flows—the kind that previously required extensive manual investigation—the “explain transaction” feature in Copilot provides immediate clarity.
The team also discovered Copilot’s proactive capabilities. Engineers can now ask natural language questions about system behavior: “What were the top 5 errors in the last 24 hours?” or “Which customers experienced the most issues?” This business-oriented analysis helps them understand customer experience and identify potential retention risks before they become problems.
Results: From Minutes to Seconds
For Wiv, the impact of Lumigo Copilot has been transformative. “It’s not just the time,” Rozen emphasizes. “It’s avoiding the context switch and maintaining focus. Using chat doesn’t force you to shift gears. It’s a natural way to solve issues faster.”
The results have been clear and measurable:
- Troubleshooting Speed: Issues that took minutes to diagnose now resolve in seconds
- Reduced Context Switching: Engineers maintain focus within a single interface
- Enhanced Team Collaboration: The entire team can coordinate responses within Slack
- Improved Customer Insights: Better visibility into which customers experience the most errors
- Complex Problem Resolution: Copilot excels at “finding the diamond in the rough” in complex transaction flows
- Business Risk Management: Proactively identifying potential customer retention issues
- Engineering Focus: More time to develop new features and less time debugging
Conclusion
By embracing Lumigo and adopting Copilot, Wiv has dramatically improved its ability to troubleshoot complex microservices while reducing cognitive load on its engineers. This transformation has delivered significant time savings and operational improvements, allowing the team to focus on their core mission: helping organizations automate FinOps processes at scale through customizable workflows that address each customer’s specific definition of cloud waste and cost anomalies.
Wiv sees even greater potential ahead for Lumigo Copilot. They envision simply asking, “Tell me what you know about this customer in the past 24 hours,” and receiving comprehensive analyses drawing from all available data. “The business context is already in the data Lumigo has,” Rozen explains. “Copilot will become more than just an assistant. It’ll become a standalone interface that reveals business insights from technical data.”
When asked to describe Lumigo Copilot’s value in one sentence, Rozen’s answer was simple but powerful: “Minutes to seconds.”
