The text outlines how the Cloud SIEM team uses Datadog's Continuous Profiler, enhanced with custom context attributes, to improve the observability and performance of their applications that process large volumes of data. While the profiler provides insight into application performance in real-world conditions, challenges arise when shared methods across the codebase obscure detailed resource consumption analysis. Custom context attributes provide a solution by tagging code with additional runtime data, making profiles more actionable and aiding in identifying performance bottlenecks and mitigating incidents. The text also details how these attributes assist in isolating performance issues related to shared Java code and specific detection rules, ultimately streamlining troubleshooting processes. Additionally, it offers guidance on implementing custom context attributes in Java and Go applications to enrich profiling data and enhance troubleshooting capabilities without the need for complex custom metrics.