Overview

Turn Canvas into a stable integration platform for serious online programs, not just a content repository. Technical teams are often handed a Canvas instance and asked to ""make everything talk to everything else"" while dealing with APIs, LTI tools, SIS feeds, data exports and authentication quirks. Documentation is fragmented, vendor guides are tool specific, and small configuration mistakes can quietly damage enrollments, grades or live courses. Canvas LMS in Action gives developers, learning technologists and platform owners a practical map of how Canvas really behaves at scale. You get a clear reference architecture, a precise data model, realistic governance patterns and implementation level guidance for REST APIs, LTI 1.3, SIS automation, live events and data pipelines, all written from the perspective of teams running production systems. Understand Canvas accounts, subaccounts, courses, sections, roles and enrollments as a coherent data model for automation and reporting Design robust course structures with modules, prerequisites, blueprints and program level templates that support large catalogs Build and secure Canvas REST API automation for bulk course creation, content management, submissions and gradebook updates Implement LTI 1.3 and LTI Advantage correctly, including OIDC login, JWT validation, deep linking, AGS and NRPS services Create provisioning pipelines using SIS imports, handle SIS stickiness and ID management, and integrate SIS with LTI tools and APIs Use Canvas Live Events, webhooks and the data platform to feed warehouses or lakes for analytics, auditing and operational insight Configure authentication providers, SSO with SAML and other protocols, and align LTI launch identities with institutional identity systems Apply realistic security, privacy and accessibility practices for APIs, LTI tools, custom JavaScript and CSS, and pass institutional reviews Monitor integrations with health checks, metrics, logging, correlation IDs and incident response patterns that fit existing operations Compare hosting models, set up non production Canvas environments, and design CI CD pipelines for LTI tools and API services Use proven design patterns, reference implementations and anti patterns to guide future Canvas integration and automation projects The book includes structured checklists and decision guides for integration governance, environment strategy, tool selection and future Canvas projects, helping teams make consistent choices instead of one off exceptions. This is a code heavy guide, with working Python, JSON and YAML examples that show complete Canvas API clients, LTI workflows, SIS automation and data pipelines you can adapt to your own stack. Grab your copy today and build Canvas integrations that are maintainable, secure and ready for real institutional use.

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