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Anomaly detection

Detect cloud anomalies and unexpected cost spikes across multi-cloud environments with machine learning-powered, human-tunable cloud anomaly detection.

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Ternary detects abnormal increases in spend.

Customers and partners who trust our multi-cloud platform

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Proactively control multi-cloud costs

Ternary helps detect cloud cost anomalies and uncover root causes quickly, with customizable alerts and intelligent analysis to control costs and prevent budget overruns.

Customize alert thresholds for precise cloud anomaly detection

Ternary helps you identify anomalies across business groupings like Service, SKU Description, and Project. Create customizable alert rules based on absolute or percentage thresholds, and monitor increases or decreases in cloud spending patterns over time. You can easily archive and unarchive rules, making it simple to pause monitoring while fine-tuning configurations.

Mockup of the Ternary Anomaly Detection feature
Ternary Anomaly Detection Detailed View

Pinpoint root causes behind cloud cost spikes

Drill into the details of anomalous events to understand what’s happening and why. Ternary surfaces the data behind cloud cost spikes so you can identify the root cause, take corrective action quickly, and reduce repeat anomalies.

Pinpoint root causes behind cloud cost spikes

Drill into the details of anomalous events to understand what’s happening and why. Ternary surfaces the data behind cloud cost spikes so you can identify the root cause, take corrective action quickly, and reduce repeat anomalies.

Ternary Anomaly Detection Detailed View

Streamline investigations with case management

Put anomaly investigations in the path of engineering with our bi-directional Jira integration. Manage anomaly detection cases in real time using Ternary’s FinOps platform, reducing detection latency and streamlining root cause analysis. With linked cases, you can manage incidents more efficiently and reduce time to resolution.

Ternary Case Management example for Kubernetes

Decisions uses Ternary for a single source of truth across AWS, GCP, and Azure

“Before using Ternary, it would take me hours to analyze our cloud costs. Now, I have a single source of truth for all my cloud spending across Google Cloud, Azure, and AWS. With Alert Tracking, I can instantly identify and investigate cost changes, saving me valuable time and ensuring we meet our growth and margin objectives.”

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Pravash Mukherjee, Senior Director of Technology and Delivery at Decisions

The Linux Foundation drives operational efficiency with Ternary

“The Ternary team has been great to work with. From the early days of contract discussions to providing product feedback and requests, they act as an extension of our team. Being able to partner at that level is really beneficial to us. Our partnership with Ternary has been successful from an ROI standpoint, because we don’t have to invest in hiring a full-time team for FinOps.”

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Rudy Grigar, Director of Cloud Services
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Rackspace partners with Ternary to deliver value to Google Cloud customers

“Ternary is a very well-thought-out cost management platform for GCP—one of the best, from what I’ve seen in the market, and from a feature set standpoint. Ternary is also a very good relation to have overall, if you’re in the GCP business.”

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Akshay Jituri, Cloud Cost Optimization Specialist at Rackspace Technology
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FAQ

What is cloud anomaly detection?

Cloud anomaly detection is the process of identifying unexpected spikes or changes in cloud spend, usage, or behavior—typically using machine learning models to compare real-time data to historical patterns.

How does Ternary detect cloud cost anomalies?

Ternary analyzes cloud cost data, identifies unusual spending patterns, and alerts your team based on custom thresholds.

What cloud providers does Ternary support for anomaly detection?

Ternary Anomaly Detection works for all supported cloud integrations.

How can I avoid alert fatigue?

Ternary Anomaly Detection has a safeguard that requires users to set a minimum non-zero dollar amount when configuring relative threshold alerts. If no minimum is specified, a warning prompts you to enter one. This helps reduce notification noise caused by minor spending fluctuations. 

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