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Website title: Cloud Monitoring as a Service | Datadog

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By combining stacked LLM evaluations with tool-driven investigation, we scaled malicious code detection from pull requests to dependency packages without sacrificing accuracy or cost control.

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Learn how to use threat emulation to find gaps in data perimeter policies for your AWS environment.

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See how agentic AI and Jobs Monitoring helped us reduce Spark job duration, infrastructure costs, and the time spent correlating root causes.

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Migrate to Azure Managed Redis by using Datadog and Eden to establish performance baselines, execute and validate cutovers, and monitor cache health.

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Learn how stitched-together tooling can be a bottleneck for shipping at scale, and how a unified platform can bring together product signals for teams to observe their entire stack.

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