# Scaling a Vespa Application: Feeding Fast and Furiously

DevFeed: [Scaling a Vespa Application: Feeding Fast and Furiously](<https://devfeed.tech/articles/scaling-a-vespa-application-feeding-fast-and-furiously-12797.md>)

Original publisher: [Read original article](<https://blog.vespa.ai/scaling-a-vespa-application-feeding-fast-and-furiously/>)

Author: Kai Borgen

Published: 2026-04-28T00:00:00Z

Content type: tutorial

Language: en

Sources: [Vespa Blog](<https://devfeed.tech/sources/vespa-blog.md>)

Topics: [AI search](<https://devfeed.tech/topics/ai-search.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [information retrieval](<https://devfeed.tech/topics/information-retrieval.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Homebrew](<https://devfeed.tech/topics/homebrew.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [onnx](<https://devfeed.tech/topics/onnx.md>), [optimum](<https://devfeed.tech/topics/optimum.md>), [XML](<https://devfeed.tech/topics/xml.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-search](<https://devfeed.tech/tags/ai-search.md>), [cli](<https://devfeed.tech/tags/cli.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [genai](<https://devfeed.tech/tags/genai.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [information-retrieval](<https://devfeed.tech/tags/information-retrieval.md>), [install](<https://devfeed.tech/tags/install.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [onnx](<https://devfeed.tech/tags/onnx.md>), [optimum](<https://devfeed.tech/tags/optimum.md>), [performance](<https://devfeed.tech/tags/performance.md>), [rag](<https://devfeed.tech/tags/rag.md>), [ranking](<https://devfeed.tech/tags/ranking.md>), [tensors](<https://devfeed.tech/tags/tensors.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

## AI overview

This tutorial demonstrates how to scale a Vespa application while feeding the full MS_marco passages dataset. It covers preparing the dataset, configuring access, deploying a sample application, and using scaling and metrics to improve feed throughput and performance.

## Source excerpt

A tutorial on how to scale the resources in a Vespa application to increase feed throughput. Using the metrics dashboard for informed and optimised scaling.