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Monitoring Your Kubernetes Applications Like a Boss

Use these best practices to stay on top of your Kubernetes ecosystem, minimize downtime, and ensure high availability and performance.
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Extending the Competitive Advantage in Telecom - Ch. 2

Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.
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Extending the Competitive Advantage in Telecom - Ch. 1

Learn how AI and machine learning are enabling critical capabilities, such as real-time anomaly detection and forecasting, to meet rising challenges in the telecom market.
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An Introduction to Revenue Monitoring

Learn why revenue monitoring is different to other types of monitoring, such as IT and App Performance. Only AI-based real-time revenue monitoring can ensure watertight revenue protection for your business.
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Introduction to Business Monitoring

Business monitoring is machine learning-based analytics built to bulletproof your revenue, remedy urgent problems faster, and capitalize on opportunities sooner.
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Top Barriers to Successful AI Implementation in Telecom

Autonomous network monitoring is within reach. These are the challenges telecom service providers should avoid for faster time to value.
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Case Study: Browsi Optimizes Ad Viewability for Publisher Network with Anodot

See how this AI-driven adtech company is using Anodot to keep pace with half a billion events daily.
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WHITE PAPER: Why Every Data Leader Needs ETL Monitoring

Duplicated files. Missing data. Learn how anomaly detection can save your ITOps teams embarrassing setbacks.
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Case Study: Affiliate Marketing Company Uses Anodot to Proactively Manage 1000s of Fast-Moving Accounts

While managing tens of thousands of affiliates producing millions of pieces of content, this adtech company found it difficult to monitor the business and technical incidents that impact their bottom line. See how Autonomous Analytics changed the way they work.
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