Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.
Learn all about the eight essential LLM development skills every enterprise AI team must master for production-ready, scalable, and auditable AI systems.
Ampere Performance Toolkit (APT) helps developers port, benchmark, and optimize Arm64 workloads with tools for migration, profiling, and performance analysis.
At scale, Glue jobs become shuffle-bound, not CPU-bound. Skew and file strategy dominate runtime. Adding workers helps less than reshaping the workload.
A focused deep dive into security misconfigurations — CORS, headers, cookies, admin exposure — and how to eliminate them with hardening and automated CI/CD enforcement.
Sealed Secrets broke at scale. Learn how Vault + External Secrets Operator solved our rotation nightmare with auto-sync, zero Git secrets, and multi-cluster support.
This article compares the use of custom Lambda authorizers in AWS API Gateway and AWS AppSync, focusing on their respective approaches to API authorization.
How we built ZUL-writer: an agent skill that turns textual requirements and UI mockups into production-ready front-end code (ZUL) and Java controller templates.
AI systems now function as dependable work execution engines, performing tasks that go far beyond basic chatbot capabilities through multi-agent systems.