Everything You Need to Build Faster

Harper Pre-render transforms modern websites into ultra-fast, SEO-friendly experiences by generating and caching HTML ahead of time. It eliminates the drawbacks of client-side rendering, ensuring instant page loads for users and fully indexable content for search engines—at scale and with minimal backend strain.

Discover how resource hints like preload, preconnect, and Early Hints can dramatically boost web performance. Learn how each hint impacts key metrics like LCP and TTFB, with practical examples and implementation strategies to speed up page load and enhance user experience.

Microliths are an emerging software architecture that combine the simplicity and performance of monoliths with the modularity and scalability of microservices, offering vertically integrated units where application logic, database, cache, and APIs coexist in a single deployable runtime. This approach enables ultra-low-latency, secure, and composable systems with significantly less code and operational overhead, making it ideal for modern, data-intensive applications.

This article explores how to build a scalable, secure multi-tenant asset management system using Harper's blob storage, using the platform's unique latency advantages.

AI-driven personalization of e-commerce product pages boosts conversions by tailoring content to customer cohorts, reducing purchase friction, and enhancing SEO—while remaining cost-effective via open-source models and smart deployment.

Redis is fast but adds operational complexity—requiring separate infrastructure, custom code, and ongoing maintenance. Harper eliminates this overhead with built-in, declarative caching, delivering performance, scalability, and simplicity in a single platform that handles both data and caching seamlessly.

Learn how to create a full Library Management System using Harper. Define GraphQL schemas, implement resource classes, and build APIs without boilerplate code.

On February 3, 2026, Microsoft will sunset support for Dynamics 365 Fraud Protection (DFP), prompting enterprises to evaluate new fraud prevention strategies. Akamai Account Protector (APR) continues to offer trusted device fingerprints and risk scores, but Azure Active Directory B2C (B2C) does not propagate APR’s risk score header downstream. Risk Query bridges this gap with a lightweight, distributed key-value service that enables APR to write and B2C to read, restoring fraud protection logic.

Harper’s Distributed Query Delivery solution moves APIs and the data they rely on to the edge, creating a multi‑protocol query delivery layer near every user. Streaming changes from your origin sources to distributed Harper nodes resolves queries at the edge instead of fanning out across microservices. This dramatically cuts latency and cloud costs, providing measurable improvements in performance, reliability, and total cost of ownership.

Discover how the Harper Redirector component enables ultra-fast, scalable, and centralized URL redirection with 1ms lookups, no external cache or DB needed. Learn how to deploy, manage, and monitor millions of redirects using a simple CSV or API interface.

Deploy Apollo on Harper to create a distributed GraphQL caching service for easier and faster data fetching.

When a major U.S. retailer's origin system went down, Harper seamlessly stepped in as a resilience layer, serving 2 million product page requests from a pre-warmed cache with ultra-low latency (P95 ~2ms), ensuring most customers never noticed the outage. Designed for high availability, Harper’s architecture—featuring pre-rendered full-page HTML, a fused stack for low latency, and geographically distributed nodes—allowed the retailer to preserve 80% of traffic and revenue during the incident. This event highlights the critical role of robust infrastructure in maintaining user experience and business continuity during backend failures.

Get started with Harper 4.5, a composable backend platform combining database, cache, pub/sub, and app logic. Learn how to install Harper, build a GraphQL-backed app, and deploy faster with fewer moving parts and reduced latency.

Discover how token sharing threatens streaming revenue and performance. Learn what it is, why it’s hard to detect, and how leading content providers are stopping it with real-time, per-segment enforcement across CDNs.

The fused stack is a modern software architecture that consolidates key backend components—such as the runtime, database, caching, messaging, and API server—into a single, in-process system, reducing the complexity and overhead of traditional distributed architectures. By eliminating inter-process communication and serialization, it boosts performance, simplifies development, improves resource efficiency, and enhances composability. Unlike old monoliths, fused stacks remain modular and scalable, making them ideal for real-time and high-throughput applications. Platforms like Harper showcase its potential, offering significant gains in speed, cost savings, and sustainability, signaling a promising shift toward more efficient, cloud-native development.

Explore what API caching is, why it matters, and how to apply it in real-world scenarios using REST and GraphQL. Learn practical strategies to improve performance and scalability.

Harper’s collection of turn-key, enterprise-grade components is designed to improve performance and maximize revenue at any scale.

Learn what long tail caching is and how it can drastically improve website performance while reducing cloud costs. Discover why CDNs alone aren’t enough and how Harper helps teams cache more content, including APIs, images, and dynamic pages, for faster load times and lower egress fees.

‍Industry Veterans Andrew Chambers Joins as EVP of Marketing and Michael Proia appointed to EVP of Sales

With Earth Day approaching, this post examines the hidden energy costs of multi-system software architectures. It encourages greener design choices that reduce computing footprints without sacrificing performance.

Effortlessly manage complex APIs across distributed services with unmatched scalability and security.

Manually configuring DDNS providers is suboptimal. Instead, automate rebalancing with an automated rebalancing service.