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With this approach, the code that lived inside of the monorepo could start to take advantage of the breakdown, while external importers of the package could continue to have their businesses running. Keeping consistency in mind, we took the approach of having a single aggregator whose responsibility was to import all of the smaller context libs and export a package with the exact same API as before.

Each of the smaller libs was to be responsible for one context of the integration and have its own set of tests and exports. With the lessons learned from our first checkpoint behind us, we started to break the integration down into smaller libs.

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In the process, we also learned how to creatively compare code-diffs to make sure we would not be messing with the APIs in place.Ī beautiful changelog The Second Act: Smaller Libs In this act, we learned how to nail the intricacies of the CI and CD pipeline for a package, so that the consumers of the package didn't notice any difference and we as engineers could start to see the benefits from the migration. In our first act, we migrated our package as-is from the original repository to the inside of our monorepo. With each individual act we would learn new tricks to better nail the next one, and we would also create checkpoints in the migration process. In order to keep the effort healthy and avoid downtimes or regressions, we split our migration into three acts. The codebase was huge, so we needed to break it into smaller pieces to take action. (Spoiler: The result was absolutely gorgeous.) Splitting the Colossus From a single source of truth, we could deploy our microservices, consumers, and external npm packages, with no more unclear APIs or package bumping. Other libs and microservices of the monorepo would take leverage from these and together construct a collective domain. Our approach to regain our speed and consistency was to consolidate our integration into a monorepo, where we could distribute the domain of the integration into smaller libs with clear APIs and tests.

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And because we value speed and consistency in our development at Mixmax, we also knew that it was time to get out of the shadow of our integration colossus (quick PS2 break, anyone?). The list of annoyances, confusing patterns, and time-sucking requirements was long, and we knew we needed to change.

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Our API borders for the package had become blurred, and changes often required almost day-long update cycles to roll them out to all of the importers. With this growth, maintaining a single colossal package to contain all of the integration domain was starting to become a burden. We were able to consolidate all of the integration domain into a single package and expose an API for its logic to be executed by the pertinent consumers.īut fast-forward several years and Mixmax has grown a lot, and our integration has grown along with us. When this happens, we commonly encapsulate these resources into a single package and distribute it via npm to be used in different projects as needed.įor our original Salesforce integration, we used the same method and it worked perfectly. But First, A Little ContextĪt Mixmax, we often have code that can be used across projects but relies on a shared group of resources, constants, rules, or other items. In this post, I’ll share more about one of our latest iterations of Salesforce integration. Salesforce integration is an important part of our business here at Mixmax, so we always want to make it better and improve performance.

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