HawkFlow.ai

HawkFlow.ai is a monitoring platform designed for technology leaders to track data, infrastructure, apps, KPIs, users, and more in a single, unified view. It helps teams stay ahead of cloud costs and operational issues without chasing status checks across multiple tools.

How it works

• Centralizes monitoring across data pipelines, ML models, product metrics, uptime, cron jobs, databases, and custom events.
• Provides a single pane of glass to identify where to focus efforts and anticipate issues before they impact users.
• Simple integration with your existing machine learning and software deployments, enabling you to send relevant signals with minimal setup.
• Includes automatic alerts and actionable insights to help you prioritize work and optimize performance and costs.

How to Use HawkFlow.ai

1. Integrate your systems. Use the simple code integration to connect data sources, pipelines, and services you want to monitor.
2. Define metrics and alerts. Configure data, ML accuracy, KPIs, uptime, and other signals, plus thresholds and alerting rules.
3. Monitor in one place. View live dashboards, receive proactive warnings, and trace issues across your stack.
4. Act on insights. Use recommendations to optimize costs and performance, reducing the need for manual status checks.

What People Are Saying

• Daniel Whitlock, Engineering Manager: "I did not realise how insightful timing code could be. You have to try it. This really helps me plan ahead, know where to focus, as well as getting earlier warnings of issues than I have ever had before."
• David Fernandez, Director of Data Science: "HawkFlow honestly beats all other MLOps solutions that I have tried. I can monitor any part of my model creation and accuracy. We found new issues within days that we knew nothing about."
• Noah Weatherby, Group Product Manager: "I did not know tools like this existed. It is so simple to use, I have managed to track all kinds of customer activity that I previously had no visibility on. Combine that with automatic alerts, it really is amazing."

Core Features

• Unified monitoring for data, infrastructure, apps, ML models, and business KPIs
• Simple code-based integration with existing ML and software stacks
• Real-time dashboards and proactive alerts
• Cost monitoring and optimization insights
• End-to-end visibility across pipelines, jobs, databases, and services
• Automatic issue detection and prioritization to minimize manual checks
• Flexible, scalable to accommodate growing architectures
• Quick-start documentation and clear integration guidance