Blogs
Introduction Large Language Models (LLMs) are transforming the way that users interact with applications, and they introduce observability challenges that require new approaches. Unlike deterministic APIs that return predictable results, LLMs have variable performance, unpredictable outputs, and complex failure modes. Observing these...
Introduction Logs coming from different services often follow inconsistent formats, naming conventions, and structures. This makes it difficult to search, analyze, and correlate events across your systems. Datadog Log Management solves this challenge with Pipelines, Processors, and Standard Attributes, which let you extract key fields,...
Introduction Modern applications behave quite differently in production compared to development or testing environments. Outlier requests and accounts, edge cases, configuration changes, security features, and request spikes can make an application behave in unexpected ways. This may lead to poor CPU and memory performance, which can be...
Introduction Datadog Log Management offers powerful tools for querying, analyzing, and monitoring logs so that you have the details you need to track and investigate the performance, health, and security of your systems and applications. These logs sources can produce thousands of log events per minute, indexing all logs for querying,...
