Multi-tenant LLM deployments face a critical challenge: preventing resource-hogging users from degrading service for everyone else. This article examines practical strategies for enforcing tenant budgets and managing queues to maintain fair resource allocation. Industry experts share proven techniques for stopping noisy neighbors before they impact your system's performance.
Breaking changes in data pipelines cost organizations thousands of hours in debugging and lost productivity every year. This article explores three practical strategies that one team used to implement a data contract system that caught incompatible changes before they reached production. Industry experts share their proven approaches to enforcing backward compatibility, implementing approval workflows, and establishing clear data definitions that prevent costly breakage.
Getting the most value from large language model inference doesn't require complex optimization strategies. Industry experts reveal that implementing continuous batching can dramatically reduce costs while maintaining performance. This straightforward technique delivers one of the biggest efficiency gains available to teams running LLM workloads.
This interview is with Ken Marshall, Co-Founder, Meet Sona.
AI code assistants promise to speed up development, but most teams struggle to extract real productivity gains from these tools. This article breaks down eight concrete strategies that separate hype from measurable velocity improvements, backed by insights from engineering leaders who have successfully integrated AI into their workflows. The techniques cover everything from test-driven practices to context management, offering a practical framework for teams ready to move beyond experimental use cases.
