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Technology · Topic
The technology behind digital products — architecture, APIs and integrations, and how product technology should evolve from MVP to scale.
Compare Datadog, New Relic, Grafana Cloud, Dynatrace, and Elastic Observability for 2026 — public pricing meters, OpenTelemetry fit, and how to choose without “best overall” hype.
APIs are how modern software connects. Here is what they are and why integrations matter for business.
The tech that launches an MVP rarely scales it. Here is how product technology should evolve.
Great products run on sound technology decisions. Here are the fundamentals every product leader needs.
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New to a topic, or briefing your team? These five short modules cover the core concepts behind Product Technology and every other technology decision, in plain English.
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Product technology is the set of systems, architecture and tools behind a digital product: the application code, data, integrations, hosting and monitoring. Decisions here shape how fast a team can ship, how reliably the product runs and what it costs to scale.
Early on, speed matters most, so simple architectures and managed services work well. As users grow, teams invest in testing, observability, security, performance and cleaner integrations, paying down the shortcuts taken during the MVP stage.
Integrations let your product exchange data with the tools customers already use, which improves adoption and retention. Well-designed APIs also make it easier to add partners, automate workflows and build new features without rewriting core systems.