Click Below to Get the Code

Browse, clone, and build from real-world templates powered by Harper.
Tutorial
GitHub Logo

From Local to Distributed Multi-Node Cluster in Minutes

See how to take a local Harper app to a distributed, multi-node cloud cluster with simple deployment steps, built-in scaling, and an MQTT real-world demo.
Harper Learn
Tutorial
Harper Learn

From Local to Distributed Multi-Node Cluster in Minutes

Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
November 14, 2025
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
November 14, 2025
Ivan R. Judson, Ph.D.
Distinguished Solution Architect
at Harper
November 14, 2025
November 14, 2025
See how to take a local Harper app to a distributed, multi-node cloud cluster with simple deployment steps, built-in scaling, and an MQTT real-world demo.
Ivan R. Judson, Ph.D.
Distinguished Solution Architect

In this week’s Harper Learn session, Solutions Architect Ivan Judson walks through how to take a simple local setup and deploy it to a fully managed, multi-node Harper cluster in just a few steps. You’ll see how a project that starts on your laptop—configured with static files, users, and basic access rules—can be pushed to the cloud and immediately scaled across nodes with Harper’s streamlined deployment workflow. Ivan demonstrates how configuration, access groups, and app logic seamlessly transfer from local to distributed environments, highlighting the power and simplicity of Harper’s fused platform.To wrap up, Ivan gives a sneak peek of next week’s session by sending an MQTT message that triggers a real-world action—offering a glimpse into how Harper enables fast, event-driven applications. Whether you're building locally or deploying globally, this episode shows how quickly you can go from development to distributed production with Harper.

Resources
Follow Along with Harper Learn: https://github.com/HarperFast/harper-learn
Get Help on Discord: https://www.harper.fast/discord
CLI Remote Operations: https://docs.harperdb.io/docs/deployments/harper-cli#remote-operations

In this week’s Harper Learn session, Solutions Architect Ivan Judson walks through how to take a simple local setup and deploy it to a fully managed, multi-node Harper cluster in just a few steps. You’ll see how a project that starts on your laptop—configured with static files, users, and basic access rules—can be pushed to the cloud and immediately scaled across nodes with Harper’s streamlined deployment workflow. Ivan demonstrates how configuration, access groups, and app logic seamlessly transfer from local to distributed environments, highlighting the power and simplicity of Harper’s fused platform.To wrap up, Ivan gives a sneak peek of next week’s session by sending an MQTT message that triggers a real-world action—offering a glimpse into how Harper enables fast, event-driven applications. Whether you're building locally or deploying globally, this episode shows how quickly you can go from development to distributed production with Harper.

Resources
Follow Along with Harper Learn: https://github.com/HarperFast/harper-learn
Get Help on Discord: https://www.harper.fast/discord
CLI Remote Operations: https://docs.harperdb.io/docs/deployments/harper-cli#remote-operations

See how to take a local Harper app to a distributed, multi-node cloud cluster with simple deployment steps, built-in scaling, and an MQTT real-world demo.

Download

White arrow pointing right
See how to take a local Harper app to a distributed, multi-node cloud cluster with simple deployment steps, built-in scaling, and an MQTT real-world demo.

Download

White arrow pointing right
See how to take a local Harper app to a distributed, multi-node cloud cluster with simple deployment steps, built-in scaling, and an MQTT real-world demo.

Download

White arrow pointing right

Explore Recent Resources

Media Coverage
GitHub Logo

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Media Coverage
InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio, Staff Editor at InfoQ
Renato Losio
InfoQ Staff Editor
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Aug 2026
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Blog
GitHub Logo

Faster by Doing Less: How Harper 5.2 Engineers Database Performance

Harper 5.2 attacks database performance on three fronts: a per-worker record cache validated through lock-free atomic version slots, isolated commit scheduling to keep database writes off the application thread, and query planner improvements that route through the shortest available data path.
Cache
Blog
Harper 5.2 attacks database performance on three fronts: a per-worker record cache validated through lock-free atomic version slots, isolated commit scheduling to keep database writes off the application thread, and query planner improvements that route through the shortest available data path.
Person with very short blonde hair wearing a light gray button‑up shirt, standing with arms crossed and smiling outdoors with foliage behind.
Kris Zyp
SVP of Engineering
Blog

Faster by Doing Less: How Harper 5.2 Engineers Database Performance

Harper 5.2 attacks database performance on three fronts: a per-worker record cache validated through lock-free atomic version slots, isolated commit scheduling to keep database writes off the application thread, and query planner improvements that route through the shortest available data path.
Kris Zyp
Aug 2026
Blog

Faster by Doing Less: How Harper 5.2 Engineers Database Performance

Harper 5.2 attacks database performance on three fronts: a per-worker record cache validated through lock-free atomic version slots, isolated commit scheduling to keep database writes off the application thread, and query planner improvements that route through the shortest available data path.
Kris Zyp
Blog

Faster by Doing Less: How Harper 5.2 Engineers Database Performance

Harper 5.2 attacks database performance on three fronts: a per-worker record cache validated through lock-free atomic version slots, isolated commit scheduling to keep database writes off the application thread, and query planner improvements that route through the shortest available data path.
Kris Zyp
News
GitHub Logo

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Announcement
News
Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Person with short dark hair and moustache, wearing a colorful plaid shirt, smiling outdoors in a forested mountain landscape.
Aleks Haugom
Senior Manager of GTM
News

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Aleks Haugom
Aug 2026
News

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Aleks Haugom
News

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.
Aleks Haugom