Real-Time Anomaly Detection

Avoid surprises
in your cloud bill

With DoiT Real-Time Anomaly Detection, minimize the impact of unplanned cost spikes and ensure adherence to cloud cost budgets across your business.

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Overview

Anomaly Detection continuously monitors your cloud spending patterns using advanced algorithms and real-time data analysis, and – unlike other FinOps solutions – alerts you within minutes (not hours or days) about any cost spikes within your environment.

Each anomaly alert is enriched with context like severity scoring, resource breakdowns, and root cause analysis, enabling you to investigate detailed breakdowns, engage with DoiT Cloud Architects to help with the analysis, and start implementing remediation steps.

Documentation

Pricing

Real-time monitoring

Detect unusual spending patterns within minutes with smart filtering to reduce false positives

Instant context

Get detailed service, SKU, and resource breakdowns with every alert

Smart severity scoring

Prioritize response with intelligent threat assessment

Cross-team alignment

Share anomaly data and context between engineering and FinOps teams

Catch anomalies quickly,
act even faster

Anomaly Detection delivers context-rich alerts that distinguish genuine threats from noise. Get instant visibility into spending spikes with detailed breakdowns, accelerate resolution with actionable descriptions, and align engineering and FinOps teams around shared accountability.

Stop budget surprises in
their tracks

Unlike solutions that rely solely on billing data, DoiT alerts you to unusual spending patterns within minutes by blending real-time usage data with your historical spend patterns. This advanced alerting provides an extra layer of security, and allows you to respond to threats immediately.

Reduce MTTR with AI-powered analysis

Advanced AI analysis provides descriptions that explain where the anomaly occurred, what the potential cause could be, and suggest next steps to reduce mean time to resolution.

Engage DoiT experts for additional support

Escalate any issues to DoiT’s global team of Cloud Architects – on hand 24 hours a day – to get answers to complex questions, or to verify any remediation steps before taking action.

Align teams around shared
cost accountability

Engineering and FinOps teams access the same anomaly data, context, and resolution workflows. Product teams understand the cost impact of feature releases while finance teams gain technical context for budget planning – creating shared ownership of cloud spending decisions.

Cost anomalies
catch teams unprepared

Enterprises struggle to stay ahead of cloud waste, risk, and performance issues across AWS, Azure, and Google Cloud. Teams are flooded with low-signal alerts, rely on point-in-time analysis, or chase anomalies manually—wasting time and budget while critical issues go unresolved.

Cost spikes can happen anywhere – and root causes are identified too late

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FinOps teams discover unexpected billing increases days or weeks after they occur, with limited context about root causes. By the time anomalies are identified, budgets are already impacted and stakeholders demand immediate answers.

Anomaly alerts create noise,
not clarity

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Cloud-native monitoring floods teams with false positives and low-priority alerts, making it nearly impossible to distinguish genuine cost threats from routine fluctuations. Critical spending issues get buried in notification overload and alert fatigue.

Cost anomalies expose gaps in governance and control

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Unusual spending patterns can reveal unauthorized resource provisioning, misconfigured auto-scaling, or forgotten dev environments. Without real-time visibility, teams can't prevent cost anomalies before they impact monthly budgets.

Investigation workflows are
scattered and inefficient

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Chasing down cost anomalies often means jumping between billing consoles, monitoring tools, and team chats. Without a centralized investigation workflow to streamline the resolution process, teams lose time and context.

Explore Anomaly Detection yourself

Take a self-service tour to experience how thousands of DoiT customers
autonomously detect the source and scope of unwanted cost spikes.

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“DoiT Real-Time Anomaly Detection is a very easy workflow. We get alerted on any anomalous changes, oftentimes because someone misconfigured a job, or a workload is running in an unintended way. That proactive communication keeps us from having to do the retroactive investigation. And real-time alerting just takes anomaly detection with DoiT to the next level.”

Trevor Marshall, CTO & Co-Founder, Current

“Every time we launch a new cloud product, we must closely monitor hosting costs on a daily basis, which can be painful because it is an incredibly manual task. Thanks to DoiT Real-Time Anomaly 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 from our normal behavior. You made my life easier!”

Raouf Ayoub, Head of FP&A, Camunda

“DoiT Real-Time Anomaly 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

Related resources

The importance of real-time anomaly detection in preventing cloud budget overruns

Read the blog

The Cloud Cost Anomaly Handbook

Read more

AWS post-migration challenges: The importance of continuous optimization

Watch now

DoiT Cloud Intelligence™ is the only intent-aware FinOps platform that goes beyond cost optimization to drive reliability, performance, and security—turning endless “good ideas” into real, implemented solutions at scale—ensuring teams are 10X more likely to achieve business outcomes than with any other solution.

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From cost optimization to cloud migration, machine learning and CloudOps,
we’re here to make the public cloud easy.

From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.

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