Anomify
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About
Anomify is a real-time anomaly detection platform designed for analyzing metric populations. It continuously analyzes incoming data to identify unusual behavior, reduce false positive alerts, and assist in rapid issue resolution. By learning normal patterns, it enables users to optimize system performance through insights about abnormal metric behaviors. The platform harnesses advanced machine learning techniques and provides integration capabilities with various time-series databases. Anomify features both autonomous and supervised learning, making it versatile for different monitoring needs.
Platform
Features
• alerts and notifications
• real-time anomaly detection
• machine learning based
• integration with various metrics sources
• dashboard statistics and metrics management
• customizable metric analysis
FAQs
Will Anomify work with my stack?
Yes, using the free account you can send metrics from anywhere to a dedicated endpoint directly via POST request or using various integrations.
How does Anomify compare to other monitoring tools?
Anomify adds an additional dimension to your monitoring setup by monitoring all metrics in the background and identifying abnormalities instead of relying on predefined rules.
Is it hard to set up?
Setting it up is straightforward. You sign up for a free account, connect your metrics, and Anomify begins analyzing them.
Can I add or remove metrics after signing up?
Yes, you can add or remove metrics from your dashboard or via API.
Which metrics count against my quota?
Each new metric sent counts against your quota, even if it's not actively sending data.
What happens if I send more metrics than I’ve paid for?
Anomify tracks sent metrics and will drop any beyond your quota. Test headers can be used for bypassing analysis before committing to your quota.
Do you offer discounts for annual commitments?
Yes, discounts are available for annual commitments. Contact support for details.
Does it scale?
Anomify can scale horizontally with no upper limit on metrics.
How do you store my data?
Data storage depends on the source but typically, Anomify stores metric data at a 1-minute frequency and does not keep raw values for efficiency.
How long will it take for analysis to become useful?
Analysis can start becoming useful after around 7 hours of data. Proper alerts are best set after 7 days to understand expected ranges.
How does training the system improve Anomify?
Training improves Anomify by tuning it to interpret metrics accurately, reducing false positives and enhancing understanding of system behaviors.
When does my billing cycle start and end?
Billing corresponds to the calendar month and invoices are generated around the subscription date.
What happens if I change my plan in the middle of a billing cycle?
Changing your plan provides a prorated charge based on usage for the remainder of the cycle, with no changes if downgrading.
What happens if I cancel my plan?
Cancellation occurs at the end of your billing cycle, reverting you to the free plan afterward.
Pricing Plans
Starter
Free Plan• Up to 25 metrics
• 1 User
• Autonomous and supervised machine learning
• Shared cloud hosting
• 60 second data resolution
• Real-time notifications to email
Pro
USD249.00 / /month• Up to 1,000 metrics
• 1 User
• Autonomous and supervised machine learning
• Shared cloud hosting
• 60 second data resolution
• Real-time notifications to email and Slack
• Limited support
Enterprise
Unknown Price• Unlimited metrics
• Unlimited users
• Autonomous and supervised machine learning
• Custom deployment setup and regions
• Custom data resolution
• API access
• Dedicated account support
• Backfill historic data
• Threshold alerts
• Onboarding support
• 99.9% uptime
• Real-time notifications in various platforms
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