Accelerate investigations with AI-powered log parsing
The Microsoft Sensitive Data Scanner now utilizes machine learning to more accurately detect human names within log data. This improved detection goes beyond simple keyword matchin…
Latest SRE & DevOps Articles
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Monitor Claude Code adoption in your organization with Datadog’s AI Agents Console
This Datadog article explains how annotating LLM traces—adding metadata about inputs, outputs, and context—is crucial for understanding and improving LLM performance. By enriching …
Datadog Cloud SIEM: Driving innovation in security operations
The article advocates for "shifting left" on compliance – integrating security and regulatory checks *earlier* in the Software Development Life Cycle (SDLC), rather than as an afte…
Secure your code at scale with AI-driven vulnerability management
This article explores using Large Language Models (LLMs) to improve the accuracy of static code analysis tools by reducing false positives. Researchers found LLMs can effectively d…
Detect and block exposed credentials with Datadog Secret Scanning
This article highlights the increasing need for automated vulnerability management as software development scales and becomes more complex. It introduces AI-powered solutions that …
Centralize and govern your OpenTelemetry pipeline with the DDOT gateway
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Monitor ECS Managed Instances with Datadog
This article highlights new features in Amazon ECS designed to improve container issue detection and resolution. Specifically, it introduces default monitors which automatically tr…
Optimize Kubernetes workloads with Custom Query Scaling
Please provide me with the article content! I need the text of "Scaling Kubernetes workloads on custom metrics" to be able to summarize it for you. Just paste the article here, a…
Monitor AWS Lambda Managed Instances with Datadog
This article details how to use remote instrumentation to gain deeper insights into the performance and behavior of AWS Lambda functions *without* modifying application code. By le…
Gain visibility into Strands Agents workflows with Datadog LLM Observability
This article details how to use Datadog's LLM Observability tools to monitor and troubleshoot Amazon Bedrock-powered agents. It explains how to track key metrics like token usage, …
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
This Datadog article highlights the importance of tracing requests through Large Language Models (LLMs) to pinpoint performance bottlenecks and quality issues. By annotating these …
Track, compare, and optimize your LLM prompts with Datadog LLM Observability
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