Datadog | The Monitor blog

How to use AI tools more effectively: Tips from Datadog Engineers

This article details how the authors used a novel approach called "vibe coding" – combining static and dynamic analysis – to debug a complex path tracer. They found and fixed perfo…

Abusing supply chains: How poisoned models, data, and third-party libraries compromise AI systems

The Datadog engineering team discovered a malicious actor attempting to contribute harmful code to their open-source repositories via seemingly legitimate pull requests. This actor…

Abusing AI interfaces: How prompt-level attacks exploit LLM applications

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Abusing AI infrastructure: How mismanaged credentials and resources expose LLM applications

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Monitor Claude usage and cost data with Datadog Cloud Cost Management

This Datadog article highlights how crucial it is to connect AI costs with performance and infrastructure to achieve a positive return on investment. Datadog offers tools to monito…

Datadog Summit is heading to Paris

Datadog is expanding its global presence by bringing its annual Datadog Summit conference to Seoul, South Korea in 2024. This marks the first Summit held in Asia-Pacific, signaling…

Simplify XML log collection and processing with Observability Pipelines

This Datadog article details how to ingest and analyze Windows event logs within the Datadog Cloud SIEM for enhanced security monitoring. By leveraging Datadog's agent and pre-buil…

Monitor and optimize payment processing with Datadog's Adyen integration

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Build secure and scalable Azure serverless applications with the Well-Architected Framework

This article discusses using remote instrumentation to gain deeper insights into AWS Lambda function performance *without* modifying application code. By leveraging tools like Open…

Keep an eye on remote access to your Kubernetes infrastructure with Datadog Workload Protection

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Tracing asynchronous systems in your event-driven architecture: When to use parent-child vs. span links

This Datadog article details how to effectively monitor your Apache Kafka clusters using Datadog's integrations. It covers collecting key metrics like message throughput, consumer …

How to build reliable and accurate synthetic tests for your mobile apps

This Datadog article highlights how Synthetic Monitoring proactively identifies issues impacting user experience *before* real users encounter them, across the entire user journey …