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Harper + Docker + Grafana: Local Setup Guide

Learn how to set up Harper locally using Docker and monitor everything with Grafana. This step-by-step walkthrough shows developers how to launch single-node and clustered Harper environments, deploy the application template, and start building fast. Perfect for anyone exploring high-performance development with Harper’s distributed platform.

Tutorial

Harper Learn

Harper + Docker + Grafana: Local Setup Guide

Ivan R. Judson, Ph.D.

Distinguished Solution Architect

at Harper

December 5, 2025

Ivan R. Judson, Ph.D.

Distinguished Solution Architect

at Harper

December 5, 2025

Ivan R. Judson, Ph.D.

Distinguished Solution Architect

at Harper

December 5, 2025

December 5, 2025

Learn how to set up Harper locally using Docker and monitor everything with Grafana. This step-by-step walkthrough shows developers how to launch single-node and clustered Harper environments, deploy the application template, and start building fast. Perfect for anyone exploring high-performance development with Harper’s distributed platform.

Ivan R. Judson, Ph.D.

Distinguished Solution Architect

‍

In this session, Ivan Judson, a Solution Architect at Harper, discusses the developer experience and how to set up and deploy applications using Harper's platform. He walks through the process of getting started with Docker, deploying a single instance of Harper with Grafana monitoring, and scaling the application to a three-node cluster. The session concludes with acknowledgments to the engineering team and a reminder of the resources available for developers.

Docker for Desktop: https://docs.docker.com/get-started/introduction/get-docker-desktop/

Getting Started Repo: https://github.com/HarperFast/harper-getting-started

INDEX

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Getting Started (Harper + Grafana)

A battery-included kit for getting started developing with Harper.

Getting Started (Harper + Grafana)

A battery-included kit for getting started developing with Harper.

Getting Started (Harper + Grafana)

A battery-included kit for getting started developing with Harper.

Icon representing link to external content

Getting Started (Harper + Grafana)

A battery-included kit for getting started developing with Harper.

Harper Learn

Weekly video series sharing my journey learning Harper, from setup to real-world projects.

Harper Learn

Weekly video series sharing my journey learning Harper, from setup to real-world projects.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Harper Learn

Weekly video series sharing my journey learning Harper, from setup to real-world projects.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Icon representing link to external content

Harper Learn

Weekly video series sharing my journey learning Harper, from setup to real-world projects.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

BigQuery to Harper: Real-Time Data Access Without Redis or Custom APIs

Modernize your BigQuery architecture with Harper. Replace Redis and boilerplate APIs with a unified, low-latency data layer built for real-time delivery.

BigQuery to Harper: Real-Time Data Access Without Redis or Custom APIs

Modernize your BigQuery architecture with Harper. Replace Redis and boilerplate APIs with a unified, low-latency data layer built for real-time delivery.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

BigQuery to Harper: Real-Time Data Access Without Redis or Custom APIs

Modernize your BigQuery architecture with Harper. Replace Redis and boilerplate APIs with a unified, low-latency data layer built for real-time delivery.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Icon representing link to external content

BigQuery to Harper: Real-Time Data Access Without Redis or Custom APIs

Modernize your BigQuery architecture with Harper. Replace Redis and boilerplate APIs with a unified, low-latency data layer built for real-time delivery.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Ivan R. Judson, Ph.D.

Harper Named a Sample Vendor in the Gartner® Hype Cycle™ for Digital Commerce, 2026

Harper was named a 2026 Gartner Hype Cycle for Digital Commerce Sample Vendor, recognized in Front-End Cloud for its unified runtime combining data, application logic, messaging, and agent development together.

Harper Named Winner of Two 2026 Data Breakthrough Awards

Harper has been named the winner of two 2026 Data Breakthrough Awards: Open Source Data Platform of the Year and In-Memory Solution of the Year. Harper is the only company recognized in two categories this year, reflecting its unified runtime for agentic engineering that co-locates database, vector search, cache, and application logic into a single multi-threaded process.

‍

In this session, Ivan Judson, a Solution Architect at Harper, discusses the developer experience and how to set up and deploy applications using Harper's platform. He walks through the process of getting started with Docker, deploying a single instance of Harper with Grafana monitoring, and scaling the application to a three-node cluster. The session concludes with acknowledgments to the engineering team and a reminder of the resources available for developers.

Docker for Desktop: https://docs.docker.com/get-started/introduction/get-docker-desktop/

Getting Started Repo: https://github.com/HarperFast/harper-getting-started

Learn how to set up Harper locally using Docker and monitor everything with Grafana. This step-by-step walkthrough shows developers how to launch single-node and clustered Harper environments, deploy the application template, and start building fast. Perfect for anyone exploring high-performance development with Harper’s distributed platform.

Download

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Learn how to set up Harper locally using Docker and monitor everything with Grafana. This step-by-step walkthrough shows developers how to launch single-node and clustered Harper environments, deploy the application template, and start building fast. Perfect for anyone exploring high-performance development with Harper’s distributed platform.

Download

White arrow pointing right

Learn how to set up Harper locally using Docker and monitor everything with Grafana. This step-by-step walkthrough shows developers how to launch single-node and clustered Harper environments, deploy the application template, and start building fast. Perfect for anyone exploring high-performance development with Harper’s distributed platform.

Download

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Explore Recent Resources

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Blog

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Aleks Haugom

Senior Manager of GTM

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Tutorial

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Kris Zyp

SVP of Engineering

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Comparison

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Harper

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

Blog

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

Stephen Goldberg

CEO & Co-Founder

Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

Stephen Goldberg

Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

Stephen Goldberg

Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

Stephen Goldberg

Building a Cozy Sandbox Game on Harper

A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

Blog

A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

Bailey Dunning

Forward Deployed Engineer

Building a Cozy Sandbox Game on Harper

A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

Building a Cozy Sandbox Game on Harper

A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

Building a Cozy Sandbox Game on Harper

A nature-restoration game with six biomes, 150 animals, and a real food web — built with a single Harper component as the entire backend. One YAML file wires the database, API, content seeder, and static host. The same binary ships offline on itch.io.

Your Website was Built for Humans. AI Needs Something Cleaner.

The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

Blog

The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

Aleks Haugom

Senior Manager of GTM

Your Website was Built for Humans. AI Needs Something Cleaner.

The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

Your Website was Built for Humans. AI Needs Something Cleaner.

The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

Your Website was Built for Humans. AI Needs Something Cleaner.

The web spent a decade optimizing for browsers. JavaScript-heavy rendering, dynamic CMS templates, and client-side hydration made pages beautiful and machines blind. AI answer engines retrieve, parse, and cite content directly. If your best content is trapped behind a render cycle, a cleaner source wins.

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