Big Picture

We will have an overview of what Atom.apex looks like in action.

Map initialData = new Map{ ... };
new Atom(initialData)
    .then(new CustomBeforeCompute())
    .then(new Atom.ForEachStep('item', 'items', new CustomCompute()))
    .then(new CustomAfterCompute())
    .fork();

Here we split our business logic into CustomBeforeCompute, CustomCompute and CustomAfterCompute. The Atom instance is created with the initial data, then it will execute the CustomBeforeCompute. After that, it will do a 'for-each' loop of CustomCompute over the data indexed by 'items', and the looping item will be saved under the key of 'item'. Finally it will do the CustomAfterCompute.

All is not set off until the fork is invoked. During any step, if governor limits are reached, a new queueable job will be created to continue to run the remaining logic.