Most weather APIs are built around the basics: temperature, rain, wind, humidity, and a forecast icon that looks good in a dashboard. That works for a simple weather app. Solar-aware software needs more.
Load testing is essential for validating infrastructure auto-scaling policies before deployment. Skipping this step can result in resource wastage or bottlenecks. In a recent case study, simulating traffic spikes in a controlled environment enabled teams to reduce response times and lower server costs.
Before you start, paste this into Claude Code, Cursor, Codex, Gemini CLI, Kiro, or any assistant that can read a URL and run commands: The install-speedscale skill installs proxymock for your operating system and walks you through proxymock init. It stops when you need to complete browser sign-in, keeps your recordings on your machine, and connects the proxymock MCP server so your assistant can run the prompts later in this article.
When an enterprise moves an AI system from a local staging environment to a live production cluster, standard testing metrics often break down. A pipeline that achieves excellent accuracy on static test sets can easily fail when exposed to real-world user data, changing context windows, or minor updates in third-party model APIs. For quality assurance leaders, maintaining software reliability requires moving past manual evaluations and building automated validation pipelines.
Software testing is becoming increasingly complex. Modern engineering teams are expected to release faster, support continuous delivery, manage larger test suites, and maintain quality across web, mobile, API, and AI-driven applications. That is where test management tools come in. In 2026, test management is no longer limited to storing test cases and tracking pass/fail results.
In this fireside chat, Rupernita Sahoo explore the fundamental shift taking place in software quality assurance. Executive teams no longer want traditional defect counts - they want QA leaders to quantify business risk, security posture, and compliance. However, many QA organizations, legacy tools, and success metrics are still anchored in the past. This fireside chat explores how QA leaders can navigate this transition while maintaining strong operational delivery and driving greater business impact.
Today we're announcing Kong Operator 2.3. Building on 2.2's expansion into supporting Event Gateway and Dev Portal, this release significantly broadens our feature set. While 2.2 introduced foundational event-driven capabilities, 2.3 brings Kong **AI Gateway** fully into the Kubernetes-native fold, enabling teams to manage LLM routing and policies through familiar GitOps workflows. This update also rounds out Gateway API coverage with `TCPRoute`, `UDPRoute`, and `GRPCRoute`.
Watch Astera ReportMiner's Text Converter object automatically pick the right OCR engine for a creased fax, a skewed bill of lading, and a handwritten log, then turn each one into structured, exportable data. This demo walks through intelligent character recognition (ICR) in practice: a business receiving a mix of degraded scanned documents that would break a single fixed OCR engine.
AI literacy across 60,000 people starts with the C-suite. In this clip from podcast, Bethany Miles, Chief AI Officer at Advantage Solutions, shares how she built enterprise-wide AI fluency, starting with 10+ hours of hands-on executive training and a CEO coding workshop. What you'll learn in the full episode:→ Why AI literacy has to start at the top before it can scale anywhere else→ How Advantage Solutions redesigned broken processes before automating them→ What to measure beyond adoption (service excellence and time-to-complete)
Choosing between cloud-based and on-premise load testing solutions is a strategic decision in performance assurance. Picture cloud load testing as casting a wide net – covering broad territory and adapting to changing conditions. On-premise is more like fishing with a spear, offering precise control but with limited reach.