Simplex rethinks software development with Codex
Simplex boosts software development with ChatGPT Enterprise and Codex, reducing design, build, and testing time while scaling AI-driven workflows.
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Simplex boosts software development with ChatGPT Enterprise and Codex, reducing design, build, and testing time while scaling AI-driven workflows.
There are so many ways your database can disappoint you. It'll make your application perform in ways you don't expect and upset your users. In a sufficiently complex application, finding and eliminating performance problems can be difficult. Fortunately, PlanetScale gives you the tools to isolate the problem. PlanetScale Insights, available in the dashboard and through the MCP server, provides accurate, up-to-date information on how the queries in your codebase perform in production. But with so
Prisma Next has a tiny core that knows nothing about specific databases. Postgres, vector search, and JSON-with-schema are extensions, on the same surface that's open to you. An invitation to build.
Mat Marquis on Google pulling the web standards equivalent of U2 album marketing: As a Chrome user, you’ll have received Gemini Nano in the form of a 4GB transfer recently; no permission asked or required. If you remove it, … Google’s Prompt API originally handwritten and published with love on CSS-Tricks. You should really get the newsletter as well.
We have released our latest compliance guide, ISO/IEC 42001:2023 on AWS, which provides practical guidance for organizations designing and operating an Artificial Intelligence Management System (AIMS) using AWS services. As organizations deploy AI and generative AI workloads in the cloud, aligning with globally recognized standards such as ISO/IEC 42001:2023 becomes an important step toward strengthening […]
Ingress-NGINX had been handling our traffic routing since moving to Kubernetes, but when it was announced it would be retired, we were forced to consider a new traffic routing solution.
As Kubernetes clusters grow to tens of thousands of nodes, controllers that watch high-cardinality resources like Pods face a scaling wall. Every replica of a horizontally scaled controller receives the full stream of events from the API server, paying the CPU, memory, and network cost to deserialize everything, only to discard the objects it is not responsible for. Scaling out the controller does not reduce per-replica cost; it multiplies it. Kubernetes v1.36 introduces server-side sharded list
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