This article stresses the importance of linking technical errors in early-stage products directly to their impact on users, rather than just focusing on bug fixes. By quantifying *…
Please provide me with the article "This Month in Datadog - December 2025"! I need the text of the article to be able to summarize it for you. Just paste the article content here…
This Datadog article highlights how to optimize Amazon S3 storage costs by gaining visibility into bucket usage and identifying inefficient storage classes. Datadog Storage Managem…
Here's a concise summary of the article "Designing feedback loops for progressive delivery": The article argues that successful progressive delivery (releasing software in small, …
The article argues that traditionally siloed SRE and Security teams need to collaborate more closely to improve incident response. By integrating security practices *into* SRE work…
This article discusses how to gain deeper insights into AWS Lambda function performance using remote instrumentation—observability tools that don't require code changes. By leverag…
The article explores using Large Language Models (LLMs) to reduce false positives generated by static code analysis tools. By feeding LLMs the code snippet *and* the analysis resul…
Please provide the article text! I need the content of "Scaling Kubernetes workloads on custom metrics" to be able to summarize it for you. Just paste the article here, and I'll …
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…
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 …
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…
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…