Technical architecture, capabilities, and use cases of hurley, a project developed in Rust that functions as a general-purpose HTTP client and a performance testing tool.
End-to-end testing fails in microservices due to non-determinism, complex environments, slow feedback, and unclear ownership, making tests flaky and unreliable.
Vector search is not "just OpenSearch." It just needs to be run as a platform with SLAs, governance, and quotas to control drift, leaks, and out-of-control costs.
A guide comparing Fixture and Lazy patterns in test automation, showing how on-demand object creation improves performance and scalability in Playwright frameworks.
Integrate Octopus Deploy with Katalon to automate UI and API testing, gate releases, publish reports, and improve deployment reliability across environments.
Use a query router for LLM analytics — Redshift (KPIs), OpenSearch (definition), Neptune (lineage), and Cache (repeats) — to improve accuracy, latency, and costs.
Migrating legacy monolithic systems to the cloud is risky. Here is a proven pattern for automating regression testing at scale by replaying production traffic.
This article explains how to build a self-healing observability system with AWS Bedrock AgentCore using AI agents to analyze and remediate infrastructure issues.
MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
In the age of AI, UX Research must evolve from validation to proactive problem framing. Researchers who study trust, inclusion, and intent shape AI that works for people.