Learn why 100% code coverage doesn't guarantee software quality, and how behavior coverage and mutation testing provide more meaningful testing insights.
Platform engineering scales teams and systems, streamlines workflows, and reduces friction—driving faster delivery, collaboration, and sustainable growth.
In this blog post, we will see how to perform a performance test on a retrieval-augmented generation (RAG) application properly, covering both speed and correctness.
Learn how AI, observability, predictive maintenance, and resilience are helping service organizations move beyond reactive operations and improve uptime.
A five-minute walkthrough for adding logs, traces, and error monitoring to a React Native iOS app using LaunchDarkly's Observability SDK, shown on a simple counter app.
AI-generated code introduces integration failures that spec-based tests cannot catch. Regression testing grounded in real production behavior is the fix.
A low-latency multi-SLM architecture uses a lightweight router to direct requests to the most suitable language model, ensuring fast responses with minimal overhead.
Static thresholds fail in complex distributed systems. This article introduces a context-aware control loop architecture to isolate failures and automate recovery.