This Datadog article highlights how Synthetic Monitoring can proactively identify issues *before* users encounter them by simulating user behavior across the entire application jou…
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The article "Abusing AI interfaces: How prompt-level attacks exploit LLM applications" details how malicious actors can manipulate Large Language Models (LLMs) through carefully cr…
Updog.ai is a new Datadog app that provides real-time, proactive status updates for third-party service providers directly within your Datadog platform. It automatically detects in…
This article highlights the importance of addressing cloud cost waste across multi-cloud environments like AWS, Azure, and Google Cloud. It introduces "Cloud Cost Recommendations,"…
This Datadog article explains how the platform helps organizations measure and improve their DORA (DevOps Research and Assessment) metrics – Deployment Frequency, Lead Time for Cha…
This article announces the availability of a new Datadog Agent sidecar for Azure Container Apps, enabling comprehensive monitoring and observability for these serverless container …
This article details TimescaleDB's rewrite of its timeseries storage layer in Rust, moving away from C++. The new Rust implementation delivers significant performance improvements …
Please provide me with the article! I need the text of the article "How we use our Digital Experience Monitoring products to reduce friction in frontend testing and debugging" to b…
This article details how to effectively monitor AWS Fargate workloads by collecting crucial metrics and logs. It focuses on utilizing Amazon CloudWatch Logs and CloudWatch Metrics,…
This article details how to integrate Oracle Cloud Infrastructure (OCI) logs with Datadog for centralized monitoring and analysis. It outlines configuring OCI to stream logs to Dat…
This Datadog article highlights the challenges of maximizing ROI from AI investments, specifically around unpredictable costs and performance issues. It explains how Datadog's plat…