Real-time, not retroactive
Most FinOps tools detect anomalies hours or days late. DoiT monitors live usage data and alerts you within minutes, with full context attached.
Detect unusual spending patterns within minutes. Smart filtering reduces false positives so your team focuses on real threats.
Every alert includes detailed service, SKU, and resource breakdowns. No digging through billing consoles to understand what happened.
Intelligent threat assessment ranks anomalies by impact. Prioritize response based on actual risk, not notification volume.
Engineering and FinOps teams share the same anomaly data, context, and resolution workflows. One source of truth.
Most tools rely solely on billing data, which means you find out about a cost spike days after it happened. DoiT blends real-time usage data with your historical spend patterns to alert you within minutes.
That's an extra layer of security that lets you respond before budgets are impacted.
Each alert comes with an AI-generated description: where the anomaly occurred, what likely caused it, and suggested next steps. Your team spends less time investigating and more time fixing.
Not sure about a remediation step? Escalate directly to DoiT's global team of certified Cloud Architects, available 24 hours a day. Get answers to complex questions or verify your plan before taking action.
Product teams see the cost impact of feature releases. Finance teams get technical context for budget planning. Everyone works from the same anomaly data and resolution workflows, creating shared ownership of cloud spending decisions.
The problem
Teams across AWS, Azure, and Google Cloud are flooded with low-signal alerts, chase anomalies manually, and discover cost spikes weeks late.
FinOps teams discover billing spikes days or weeks after they occur.
False positives bury critical cost threats in notification overload.
Unauthorized resources and misconfigured scaling slip through unnoticed.
Teams jump between billing consoles, monitoring tools, and chat.
DoiT detects anomalies in minutes while others wait on billing cycles.
Every alert includes severity, breakdowns, and AI-suggested next steps.
Works natively with your cloud providers, data platforms, DevOps and SecOps tooling. Custom integrations are available on-request.
ExploreWe get alerted on any anomalous changes, oftentimes because someone misconfigured a job, or a workload is running in an unintended way. And real-time alerting just takes anomaly detection with DoiT to the next level.
Trevor Marshall, CTO & Co-Founder, Current
Thanks to real-time anomalies detection, we have more time to focus on other areas in our business, trusting that we'll get alerted whenever there is any deviation in cloud usage.
Raouf Ayoub, Head of FP&A, Camunda
Real-time anomalies detection helped me realize we were overspending on CloudWatch, and also helped me realize the cost impact of using S3 Deep Archive storage.
Meir Gabay, DevOps Engineer, binah.ai
DoiT detects anomalies within minutes by analyzing real-time usage data blended with historical spending patterns. Most competing tools rely on billing data that updates hours or days later.
Smart filtering and intelligent severity scoring distinguish genuine cost threats from routine fluctuations. Each alert includes context like service breakdowns, SKU details, and root cause analysis so your team can quickly validate.
DoiT Anomaly Detection works across AWS, Google Cloud, and Azure from a single unified platform. No need to switch between cloud-native consoles.
Yes. You can escalate any anomaly directly to DoiT's global team of certified Cloud Architects, available 24/7. They can help with root cause analysis, verify remediation steps, or answer complex technical questions.
Both teams access the same anomaly data, context, and resolution workflows. Engineering sees cost impact of deployments while finance gets technical context for budget planning, creating shared accountability.
Schedule a 15-minute demo with our team.
