An overview of Microsoft Fabric scaling. Teams that optimize, isolate workloads, and monitor capacity can avoid performance issues and operational costs.
A significant portion of the front-end performance issues that arise are not due to the frontend at all but to the back-end APIs, dependencies, and infrastructure.
TOON and TRON reduce token consumption by removing JSON's repetitive keys and delimiters, with TOON for tabular data and TRON for schema-stable agent flows.
Learn about why Infrastructure as Code alone can't ensure reliability and how intent, policy, and feedback loops create self-correcting, resilient systems.
Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.
Learn essential network fundamentals that every backend developer needs to master. Understand TCP/IP, DNS, HTTP protocols, and debugging to build better applications.
S/4HANA migrations break custom ABAP code and interfaces unless you proactively refactor code, SQL, and integrations to support the new data model and semantics.
“Stateless” systems aren’t. Hidden state — caches, pools, SDK retries, kernel buffers — breaks deployments and scaling. Make it explicit, externalized, and observable.
Cloud systems scale — but unchecked, they can bankrupt you. Measure, automate, and optimize costs to keep your infrastructure resilient and your budget intact.
This guide explains how to deploy LocalBox with Azure Bicep and create Azure VMs, covering setup, networking, images, and deployment without physical hardware.
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