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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchPillaro can take over plugin registration and related plugin-development work from spkl, but it is not a one-for-one replacement for every spkl task. Before migrating, map what spkl currently does in your project, recreate and verify plugin registrations in a non-production Dataverse environment, and keep separate tooling for solution and web-resource work where needed. A stable project with pinned dependencies and reliable deployments may have little to gain from changing.
Can Pillaro replace spkl?
Only for part of its workload. In a migration guide, Pillaro maintainer Ján describes spkl as a Dataverse task runner used for assembly deployment, plugin-step registration, early-bound code generation, web-resource deployment, and solution packing or unpacking. Pillaro instead concentrates on plugin structure, registration, deployment, and testing. The guide reflects its author’s product perspective, not an independent feature comparison. The maintainer guide (URL not supplied)
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Think in terms of responsibilities rather than choosing a winner by feature count. A project may move plugin registration and deployment to Pillaro while retaining or replacing other spkl tasks separately. The guide identifies PAC CLI as a first-party alternative for solution management and model generation; it does not claim Pillaro takes over those workflows.
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Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →| Responsibility | What the migration guide describes | Practical implication |
|---|---|---|
| Assembly deployment | Part of spkl’s typical scope; Pillaro also focuses on plugin deployment. | Map the exact build and deployment commands before changing CI/CD. |
| Step registration | spkl uses registration attributes such as [CrmPluginRegistration] and spkl.json; Pillaro declares registration through a fluent API. |
Recreate each step and verify its ID and metadata. |
| Filtering attributes and images | Both workflows cover registration details such as filtering attributes and images. | Record existing values and compare deployed steps after migration. |
| Stale registration cleanup | Pillaro models its declared registrations as desired state and can detect and remove obsolete registrations it previously deployed. | Confirm ownership and test removal behavior outside production. |
| Runtime organization | Pillaro organizes plugin work into registered tasks with validation, execution, and recorded outcomes. | Review task flow and error behavior; this can require code restructuring. |
| Integration testing | Pillaro documents tests against a real Dataverse environment with deployed plugins. | Plan for environment setup, credentials, test data, and cleanup. |
| Solution and web-resource operations | Included in the guide’s description of spkl; not identified as Pillaro’s focus. | Keep those operations in existing tooling or move them separately, such as to PAC CLI where appropriate. |
What changes in plugin registration?
With spkl, registration is commonly described through attributes and configuration in spkl.json. Pillaro uses a Register(IPluginRegistration registration) method to declare a step. The declaration is code representing desired registration state, rather than a direct translation of the old configuration file.
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A simplified, version-sensitive example of the shape is:
public void Register(IPluginRegistration registration)
{
registration
.For<AccountPlugin>()
.When("Update", "account")
.AtStage(PipelineStage.PostOperation)
.Synchronous()
.WhenChanged("name");
}Check the current Pillaro framework API and template version before using any sample chain: method names and signatures can change. The migration guide describes registration for message, entity, pipeline stage, execution mode, filtering attributes, pre- and post-images, and execution rank. It also says a step ID is required and part of the registration contract; preserve stable IDs and explicitly map them rather than assuming generated or existing identifiers will match.
What happens to spkl.json?
It is not a file to mechanically convert wholesale. Identify which entries or commands concern plugin registration and deployment, then recreate the relevant step metadata in Pillaro’s registration code. Separate unrelated spkl configuration—such as web resources, solution operations, and model generation—from the plugin migration so that removing a registration workflow does not silently remove another deployment task.
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Pillaro’s desired-state approach can detect and remove obsolete registrations previously deployed by Pillaro when they are no longer declared. Do not assume it owns or can safely delete every step in an environment, especially registrations originally created by spkl or another tool. In a test environment, compare the before-and-after registration inventory and inspect exactly what cleanup affects before relying on it.
How does Pillaro change runtime behavior?
Pillaro’s documented execution flow resolves tasks matching the Dataverse context, instantiates them, validates them, executes valid tasks, and records outcomes. That model can make plugin responsibilities more explicit, but it is a structural change rather than just a registration syntax change.
- If pre-execution validation fails, the task is marked
NotValid, skipped, and later tasks continue. - A technical exception marks an error and stops further execution.
- A
DataverseValidationExceptionis treated as an expected user-facing business outcome in the task log and is surfaced through Dataverse exception handling.
Review existing plugin classes for assumptions about which code runs next, how validation is reported, and whether a failure should stop subsequent work. These distinctions affect how you should structure and test migrated flows. Pillaro execution documentation (URL not supplied)
What testing and setup does migration require?
Pillaro’s testing guidance describes integration tests, not simulated unit tests: plugins must be deployed in a real Dataverse environment for the tests to run. Its documented stack uses xUnit, targets .NET 8 or later for the test project, references the Logic project rather than the merged Plugins assembly, and uses framework test-data services for cleanup. Store local connection settings in user secrets rather than committing credentials. Pillaro testing documentation (URL not supplied)
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How to migrate from spkl to Pillaro safely
- Inventory the current deployment. List plugin assemblies and export or document every step. Capture message, entity, filtering attributes, pre- and post-images, execution order, and configuration values.
- Map each spkl responsibility. Find every spkl command in local scripts and CI/CD. Mark which are plugin-related and which handle solutions, web resources, or model generation.
- Recreate registration deliberately. Declare each plugin step in Pillaro, preserving stable step IDs and matching the original metadata. Review the current API for the version you will use.
- Deploy to a non-production Dataverse environment. Complete the framework and connection setup required by your chosen Pillaro template and package versions.
- Compare registrations and test cleanup. Compare the deployed inventory with the original environment. Exercise obsolete-step cleanup in the test environment and verify which registrations it changes.
- Test critical flows against Dataverse. Add integration coverage for important paths, including expected validation outcomes, technical failures, filtering behavior, images, and any execution-order dependencies.
- Update CI/CD and adjacent tooling. Replace only the plugin-related spkl commands that have been migrated. Keep or separately move solution, web-resource, and generation tasks; use PAC CLI for solution management or model generation where it fits.
- Retire old plugin deployment only after verification. Remove the old spkl deployment path after the new deployment and its behavior are confirmed, not merely after the code compiles.
Should you migrate a stable spkl project?
Not by default. The maintainer-authored guide identifies active plugin development, registration drift, difficulty understanding deployed state, a desire for automated cleanup, hard-to-reason-about plugin classes, or a need for integration tests as reasons to evaluate Pillaro. These are decision signals from the product’s maintainer, not independently measured outcomes.
Conversely, a mature project with pinned dependencies, reliable deployments, little ongoing plugin change, no registration drift, and no unmet tooling need may be better left on spkl. Ján, who discloses that he maintains Pillaro, puts the decision this way: “The goal should be to remove a real problem, not to modernise code for appearance’s sake.” There is no comparative benchmark or measured migration success rate established here; tie the work to a concrete problem and account for the verification effort.
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