When GitHub Actions or Jenkins fits better for CI/CD
GitHub Actions fits teams whose code already lives on GitHub and who want event-driven workflow YAML, marketplace actions and very little to operate. The platform handles the orchestration, and the work your team owns is mostly the workflow files, the repository secrets and the runners you choose to attach. If your concern is metered runner pricing, note that GitHub announced a per-minute charge for self-hosted runners and then postponed it, so confirm the current runner billing terms in GitHub's 2026 pricing changes document before you plan around self-hosted capacity.
Jenkins fits teams that must run builds and hold secrets on infrastructure they control and that can staff a controller, build agents and plugin maintenance. Jenkins is MIT-licensed, so the software itself carries no license fee, but the recurring work is real: the Jenkins scaling guide places all configuration, plugins and secrets in $JENKINS_HOME on the controller, and the LTS line moves on a fixed cadence with Java support windows you must track. Check whether the Jenkins LTS line you run still supports your Java version and which plugins your build depends on before the next baseline. Jenkins also works well with Kubernetes agents through the Kubernetes plugin, which suits teams already running clusters.
The decision turns on five questions: where your code lives and whether you can move it, how long you must keep secrets and artifacts under your own control (hosted services keep artifacts for limited periods, and secret values cannot be exported), how many builds you run and how that affects metered or per-agent costs, whether builds should run on Kubernetes, and how much in-house operating capacity you can commit to upgrades and plugin governance. Write down the answer to each one for your organization. If most answers point to GitHub hosting and light operations, GitHub Actions is usually the simpler fit. If they point to on-premises control and capacity to run Jenkins, the migration effort is worth scoping in writing with the team that will own it.
Which scenarios favor each option
This table maps common operating conditions to the platform that usually fits better, with the reason tied to that condition. Read each row as a starting point: the right answer depends on where your repositories live, how builds must be isolated, and how many people will maintain the CI system. The main takeaway is that a hosted service suits teams that want less operations work, while Jenkins suits teams that need full control over agents, plugins and build logic and can staff its upkeep.
| Scenario | Better fit | Reason |
|---|---|---|
| Repositories stay on GitHub with no self-hosting goal | GitHub Actions | Workflows sit beside the code with no controller to run. Jenkins would still need a separate integration with GitHub and its own upgrade cycle. |
| Air-gapped or residency-bound builds | Jenkins (with confirmation) | Jenkins runs entirely on your own hosts, but you must confirm each plugin and its update path works offline. Check GitHub's air-gapped option before deciding. |
| Large numbers of parallel jobs on owned hardware | Jenkins | Jenkins agents can run on machines you already own, so capacity grows with hardware rather than metered hosted minutes. Confirm current runner metering terms for self-hosted GitHub runners. |
| Kubernetes-native agents | Jenkins (with confirmation) | The Jenkins Kubernetes plugin provisions pod-based agents. Confirm plugin version compatibility with your Jenkins LTS line before standardizing on it. |
| Heavy custom build logic | Jenkins | Jenkinsfile pipelines in Declarative or Scripted syntax give more control over stages and shared libraries than marketplace actions alone. |
| Small team without platform staff | GitHub Actions | Hosted runners remove controller patching, backups and plugin management. Jenkins needs someone who owns LTS upgrades and plugin security updates. |
| Teams that want event-driven YAML from the forge | GitHub Actions | Workflows trigger from repository events with marketplace actions. Jenkins needs webhooks and plugins configured for the same triggers. |
How the two models differ in day-to-day work
GitHub Actions defines a build as workflow YAML in the .github/workflows directory of a repository, triggered by events such as pushes, pull requests and schedules. Jobs run on runners, and steps either run shell commands or call an action, which is a reusable unit published on the GitHub Marketplace or in your own repositories.
Jenkins defines a build as a Jenkinsfile, which Jenkins Pipeline documents as a file committed to the project's source control repository. The Jenkinsfile uses Declarative or Scripted syntax made of stages and steps, so the build definition is versioned with the code it builds.
- Syntax choice: Declarative pipelines have a constrained structure that most teams find easier to review, while Scripted pipelines are Groovy and allow more control flow.
- Trigger model: GitHub Actions reacts to forge events natively, while Jenkins usually relies on webhooks or polling configured through the Git integration.
- Definition location: Jenkins keeps the definition in the repository, so changing a pipeline is a normal code review.
- Learning curve: Teams that already know YAML workflows must learn stages and agent declarations in Jenkins.
Before planning a migration, check which workflow features your pipelines depend on, such as matrix builds, reusable workflows and environment protection rules, and confirm how each one maps to Jenkins stages, parallel blocks and shared libraries.
GitHub Actions reuse is organized around actions and reusable workflows. Teams pull versioned actions from the Marketplace, which is convenient for common tasks but means every third-party action is code your pipeline executes and must be pinned and reviewed.
Jenkins reuse is organized around plugins. The Jenkins homepage states that more than 2,300 community-contributed plugins integrate Jenkins with tools across the CI/CD toolchain. Plugins extend the controller itself, so each one adds to the set of components you patch, back up and test.
- Shared logic: Jenkins shared libraries let teams centralize Groovy functions used across many Jenkinsfiles.
- Plugin surface: More plugins mean more dependencies, and plugin updates can change behavior on the controller.
- Configuration: The Jenkins Configuration as Code plugin reads YAML files located through the
CASC_JENKINS_CONFIGvariable, but its documentation states that it does not install plugins, so plugin installation is handled separately. - Vetting: Both models require a review process for third-party code, whether it is an action, a plugin or a shared library.
Ask your team to list the marketplace actions and plugins each critical pipeline uses, then confirm which have maintained replacements or can be rebuilt internally.
GitHub Actions runs on GitHub-hosted runners by default, and organizations pay for the minutes those runners consume under GitHub's pricing. Self-hosted runners are registered to your own machines, but GitHub has announced and then postponed a per-minute charge for them, so the cost model for self-hosted runners is a question to confirm with GitHub before you rely on it.
Jenkins has no hosted minutes. You run a controller and build agents in your own infrastructure, and the scaling guide recommends dedicated build agents so the controller handles HTTP requests and manages the build environment rather than running builds.
- Recurring cost: Hosted minutes recur with usage, while Jenkins costs recur through compute, storage, staff time and upgrades.
- Scaling: The Jenkins scaling guide describes adding agents for capacity and adding controllers for new teams or projects.
- Availability: The guide describes a primary and backup controller behind a proxy such as HAProxy or F5, which you must design and operate yourself.
- Data location: With Jenkins, logs, artifacts and secrets stay on infrastructure you control.
Request a written breakdown of the GitHub billing items that apply to your organization, and compare it with the servers, storage and staff time your own Jenkins environment would need.
Operating GitHub Actions means managing runners, secrets and organization policies, while the service itself is maintained by GitHub. Operating Jenkins means keeping the controller, agents and plugins current, and that work follows a published release cadence you need to plan around.
The Jenkins LTS release line picks a new baseline every 12 weeks from a recent weekly release, then ships three LTS releases for that baseline in four-week cycles that contain only backported fixes. The LTS 2.580.1 release stopped bundling several plugins, including the bouncycastle API, SSH server and JUnit plugins, so administrators who rely on them must install them through the plugin manager.
- Upgrade cadence: Plan a recurring window for LTS updates and test plugins against the new baseline first.
- Java runtime: Check the Jenkins Java support policy, which lists Java 21 and Java 25 as supported and names Java 17's final LTS release.
- Backups: Everything to back up lives in
$JENKINS_HOMEon the controller, including configuration, plugins and secrets. - Staffing: Assign named owners for controller, agent and plugin maintenance.
Confirm the Java version and plugin set your current Jenkins instance needs before scheduling the first upgrade.
Troubleshooting in GitHub Actions usually starts from the run log in the web interface or the REST API, with workflow YAML as the main source of truth. Failures often trace to runner images, marketplace action versions or permission scopes on the GITHUB_TOKEN.
Troubleshooting in Jenkins spans more layers: the pipeline script, the controller, the agent, the plugin versions and the Java runtime. The pipeline definition itself is in the repository, so a failing stage can be reproduced from the same commit, but an environment problem on an agent or a plugin conflict on the controller can look identical in the build log.
- Reproduction: Pin the Jenkinsfile commit, agent image and plugin versions so failures can be replayed.
- Log access: Confirm how long build logs and artifacts are kept on each side, because hosted retention limits apply to GitHub.
- Agent drift: Build agents that are not rebuilt from a known image often cause intermittent failures.
- Ownership: Decide whether application teams or the platform team own controller incidents.
Before a migration, run a sample of recent failures through both models in a test environment to see which troubleshooting steps your team would need to learn.
Capability comparison from documented features
This table compares how GitHub Actions and Jenkins handle workflow definition, triggers, runners, scaling, configuration and backup, based on documented features. Gaps are marked where a capability is not documented or depends on plugins and your own setup, so treat each cell as a starting point to confirm in your environment. The main takeaway is that Jenkins offers more control over the build infrastructure, but that control comes with plugin, upgrade and backup work that GitHub Actions does not put on your team.
| Capability | GitHub Actions | Jenkins (self-managed) |
|---|---|---|
| Workflow definition | Workflow YAML files in .github/workflows, using jobs, steps and marketplace actions | Jenkinsfile committed to source control, in Declarative or Scripted syntax made of stages and steps |
| Triggers | Event-driven workflow triggers defined in the YAML file | Triggers configured through SCM polling, webhooks or plugins, which you install and maintain |
| Reuse and marketplace | Reusable actions from the GitHub Marketplace and reusable workflows | More than 2,300 community plugins; quality, support and version compatibility vary by plugin, so review each one |
| Runner or agent model | GitHub-hosted runners or self-hosted runners that you register and operate | A controller that schedules work to build agents you run on machines or containers |
| Kubernetes agents | Self-hosted runners can run on Kubernetes, but setup depends on your runner deployment | Kubernetes plugin provisions agent pods on demand; confirm the plugin version supported by your Jenkins LTS line |
| Configuration as code | Workflow files live in the repository; organization and repository settings are managed in the GitHub interface or API | Configuration as Code plugin reads YAML from CASC_JENKINS_CONFIG, but it does not install plugins, so plugin lists must be managed separately |
| Horizontal scaling | Scaling is handled by adding runners; GitHub operates the service | Add controllers for new teams or projects; a primary and backup controller can sit behind a proxy such as HAProxy or F5 |
| Backup of configuration and secrets | Secrets cannot be exported through the REST API, so re-create them when you move | Back up $JENKINS_HOME on the controller, which holds configuration, plugins and secrets; restore testing is your responsibility |
| Self-managed edition | GitHub Enterprise Server runs GitHub Actions with self-hosted runners; confirm feature parity with GitHub.com in its documentation | Self-managed by default; Jenkins is free to run, and CloudBees CI is a separate commercial distribution |
Where data, secrets and builds live under each model
Moving from GitHub Actions to Jenkins changes where build logs, artifacts and deployment secrets sit and who operates them. The cards below cover each place that data lives, the points where export is limited, and the compliance questions to settle before a migration starts.
Hosted run logs and metadata
On GitHub-hosted runners, job logs, run metadata and the runner environment are operated by GitHub. With a self-managed Jenkins controller and agents, the controller's $JENKINS_HOME and the agent machines are under your control, so you decide where logs are stored, how long they are kept and which networks can reach them. Confirm with your security team which log content may leave your boundary, since build output often contains internal hostnames and version details.
Why hosted CI holds secrets
A hosted CI service holds deployment credentials for every connected project, so its own security posture becomes part of your attack surface. In its January 4, 2023 incident report, CircleCI told all customers to rotate secrets after an attacker exfiltrated customer environment variables, tokens and keys, along with the encryption keys needed to read them. Treat this as a general example when you map which credentials Jenkins would hold locally instead.
Secrets that cannot be exported
GitHub Actions does not return secret values. The REST API returns secret names without values, so a migration must re-enter every credential in the new system from its original source. Jenkins credentials are stored on the controller and can be backed up with it, but the export path depends on your backup and encryption design. Inventory every secret, identify its origin and plan how each one will be re-issued or rotated.
Artifact retention limits
GitHub Actions retains artifacts for a default period of 90 days, so older build outputs may already be gone by the time a migration is planned. Export the artifacts and logs you need for audit or rollback before the cutoff. On Jenkins, retention is set by your own build discard policies and storage, so you decide how long release artifacts stay available and must document that choice.
MIT license and self-hosted control
Jenkins is distributed under the MIT License, which permits you to run, modify and redistribute it without a per-minute or per-seat charge from the project. Control over the controller, the agents and the plugin set stays with your team. Plan for the work this brings: you own patching, LTS upgrades and plugin compatibility, and you should confirm any commercial distribution or support contract you rely on separately.
Identity and compliance review
Moving build and deploy credentials changes which systems your auditors must examine, including the CI server, agent images, secret stores and access logs for administrators. Ask your assessor which controls you must evidence for CI, how access to the Jenkins controller will be authenticated and reviewed, and where the new evidence will be retained. DeployOpen can prepare systems and evidence for an assessment, but the independent auditor determines conformance.
What running Jenkins asks of your team
Running Jenkins is mostly a recurring upkeep job, and the first thing to budget for is the release rhythm. The Jenkins LTS release line picks a new baseline every 12 weeks from a recent weekly release, then ships three LTS releases for that baseline in four-week cycles that contain only backported fixes. Someone on your team needs to own those upgrades on a predictable schedule, test plugins against each new baseline, and follow the Jenkins LTS changelog for breaking changes. Confirm who performs this work and how long a staging rehearsal takes in your environment before you commit to the operating model.
Java support is the second recurring item. The Jenkins Java support policy lists Java 21, with a planned end of support in September 2027, and Java 25, with its first LTS in January 2026 and a planned end of support in September 2029, as supported. The final LTS release for Java 17 was 2.541.3 in March 2026. Plan a JDK migration as a planned project, not an emergency, and check your plugin inventory for compatibility with the JDK you choose. LTS 2.580.1 also stopped bundling several plugins, including the bouncycastle API, SSH server and JUnit plugins, so any pipeline that depends on them must have them installed explicitly through the plugin manager. Add that step to every upgrade runbook.
Scale and availability decide the size of the platform. The scaling guidance recommends dedicated build agents so the controller handles HTTP requests and manages the build environment, which means agent capacity, whether static or Kubernetes-provisioned, is a separate line item from the controller. The same guidance describes a primary and backup controller behind a proxy such as HAProxy or F5, and notes that all configuration, plugins and secrets live in $JENKINS_HOME on the controller. Your team must decide whether a backup controller is required, how $JENKINS_HOME is backed up and restored, and who can perform a failover. Ask your implementation partner to put these responsibilities into a written scope before the platform goes live.
Questions buyers ask before choosing Jenkins or GitHub Actions
What drives the cost of running Jenkins compared with GitHub Actions?
The cost of GitHub Actions is mostly metered usage, while the cost of Jenkins is mostly the infrastructure and people that run it. With GitHub-hosted runners, you pay for the minutes consumed, so cost rises with build volume, build length and the runner size you choose. With Jenkins, the software is MIT-licensed, so there is no license fee, but you pay for the controller, the build agents, storage, backups and the staff time for upgrades and plugin maintenance. Ask any vendor to break a quote into hosted usage, self-hosted runner charges, storage and support, and confirm whether any runner pricing has changed since your last renewal. GitHub has announced a per-minute charge for self-hosted runners before postponing it, so confirm the current terms in writing.
How long does a migration from GitHub Actions to Jenkins take?
The duration depends on the number of pipelines, how much logic lives in marketplace actions, and how many secrets and integrations must be recreated. The supplied facts do not give a migration timeline, so treat any number from a vendor or partner as an estimate to verify against a written scope. The main drivers are the count of workflows that need a Jenkinsfile, the plugins required to replace marketplace actions, the number of teams sharing a controller, and whether you run Jenkins on Kubernetes or on virtual machines. Ask for a scope that lists each pipeline, each plugin to be installed and the cutover approach, with clear deliverables and dates agreed before work starts.
Can our own team migrate to Jenkins without outside help?
A team with Jenkins experience can often do the work in-house, but the work is more than rewriting YAML. Your team needs to translate workflows into Declarative or Scripted Jenkinsfile pipelines, select and pin plugins, set up agents and back up the controller state. Teams without that experience usually benefit from a fixed-scope engagement that covers design, implementation, hardening and documentation. DeployOpen plans, implements, customizes, hardens, backs up, upgrades and documents self-hosted platforms in your own infrastructure, and most engagements are fixed-scope with deliverables agreed in writing. A quote follows from that written scope.
What skills and staff time does running Jenkins require?
Running Jenkins needs ongoing operations work, not only initial setup. Expect staff to maintain the controller, manage plugins, apply LTS upgrades and keep agents healthy. The Jenkins LTS line ships a new baseline every 12 weeks, with three LTS releases per baseline in four-week cycles, so plan a recurring upgrade rhythm. Recent LTS releases also stopped bundling several plugins, including the bouncycastle API, SSH server and JUnit plugins, so administrators must install them through the plugin manager. Confirm the Java version your controller and agents need against the Jenkins Java support policy before you schedule upgrades.
How do secrets and build history move from GitHub Actions to Jenkins?
Secrets generally cannot be exported from GitHub Actions, so they must be recreated in Jenkins from their original sources. GitHub's REST API returns Actions secret names without values, which means you need the owners of each credential to supply it again. Build history also has a limited life: GitHub Actions defaults to 90 days of artifact retention, so export run logs and artifacts through the API or GitHub CLI before retention expires. Workflow YAML already in the repository can be translated into a Jenkinsfile. Keep the Jenkins controller's $JENKINS_HOME directory in your backup plan, because the scaling guide says configuration, plugins and secrets live there.
Can Jenkins run in Kubernetes, and what does that setup need?
Yes, Jenkins can run in Kubernetes, and the Kubernetes plugin is designed for dynamically provisioned build agents. Jenkins also publishes installation guidance for Kubernetes. In this model the controller runs in the cluster and build agents start as pods for each job, which keeps the controller focused on HTTP requests and build management, as the scaling guide recommends. Confirm your cluster version, storage class for the controller's persistent volume, network policies between agents and the controller, and how you will feed the Configuration as Code plugin's YAML through the CASC_JENKINS_CONFIG variable. Note that Configuration as Code does not install plugins, so pin plugin versions through Docker images or the Helm chart.
Does Jenkins add risk compared with a hosted CI service?
Jenkins moves responsibility for security and availability from the CI vendor to your team. A hosted service holds deployment secrets and runs the build infrastructure for you, while a self-hosted Jenkins keeps both inside your environment, which can reduce exposure to a vendor-side incident. The trade-off is that you must patch the controller, control plugin risk, restrict agent permissions and back up state. The CircleCI January 4, 2023 incident report shows why hosted secret stores are a concern, and it is a useful reference when you assess your own exposure. Ask DeployOpen or any implementer to define the hardening, backup and testing scope in writing before work begins.
Cost components on each side and what drives them
Running GitHub Actions and running Jenkins both cost money, but the bills arrive in different shapes. One side is mostly metered usage and storage, the other is mostly infrastructure, upgrade effort and people. Use the cards below to build a like-for-like quote request before comparing totals.
GitHub-hosted minutes
GitHub-hosted runners are billed as recurring usage, so the cost rises with every build minute, matrix leg and retried job. Check which plan includes a minute allowance, how each runner size is billed, and whether your Enterprise agreement changes those rates. Ask for the monthly minute profile of your busiest repositories, since that profile drives most of the variable spend. Confirm current rates on GitHub's pricing page rather than relying on older figures.
Self-hosted runner charges
Self-hosted runners are free to use today, but GitHub announced a charge of $0.002 per minute for them and then postponed it. Treat that announcement as a live risk: a future fee would recur on every minute your own machines run. Ask GitHub in writing whether any runner charge applies to your plan, and model the cost of your own agents as recurring compute, not as zero.
Jenkins controller and agent infrastructure
On the Jenkins side, the recurring cost is compute: one controller plus build agents, which may be virtual machines or Kubernetes pods. The Jenkins scaling guide recommends dedicated build agents so the controller handles only HTTP requests and environment management. Costs rise with concurrent builds and with agent image size, and fall when agents scale to zero on Kubernetes. Ask the implementer to size controller CPU, memory and disk for your peak queue.
Storage and artifact retention
Hosted services limit how long artifacts and logs stay, so teams often pay for export or extra storage before a migration. On Jenkins, retention is your decision: build records, artifacts and logs grow on the controller or in external storage until you prune them. GitHub Actions defaults to 90 days of retention. Ask which retention policy you need for audit evidence, then price the object storage, backup copies and cleanup jobs that policy requires.
Backups and secrets handling
Jenkins keeps its configuration, plugins and secrets in $JENKINS_HOME on the controller, so backup is a recurring job you must run, test and restore from. On GitHub, secrets are managed in the platform, but GitHub's REST API returns secret names without values, so migration means re-entering them. Ask who owns backup schedules, restore tests and secret rotation, and whether those tasks are inside a fixed-scope engagement or a retainer.
Plugin, LTS and Java upgrades
Jenkins upgrades are the largest recurring work item to plan for. Jenkins ships a new LTS baseline every 12 weeks, with three LTS releases per baseline, and LTS 2.580.1 stopped bundling several plugins, so administrators must install them separately. Java support also moves on a schedule, with Java 21 planned to end support in September 2027. Budget test time for each plugin update, and ask whether upgrades are included in your support scope.
Support and staff time
Most cost in either option is people time: writing pipelines, maintaining runners or agents, answering developer tickets and handling incidents. GitHub Actions shifts platform operations to GitHub but still needs workflow ownership and self-hosted runner care. Jenkins adds controller administration and plugin management. Ask for the number of engineers you expect to keep on CI, what support tier is included, and whether a retainer covers upgrades and on-call response.
How a move from GitHub Actions to Jenkins usually runs
The sequence below shows how a team moves workflows, run history and secrets from GitHub Actions to a self-operated Jenkins controller and agents, with repositories optionally staying on GitHub.
Inventory workflows, secrets and runners
Your platform team lists every repository that has workflows under .github/workflows, the triggers and reusable actions each one uses, the self-hosted runners in use, and every Actions secret and variable by name. Owners of each repository confirm which pipelines still matter. The output is a sheet that maps each pipeline to its triggers, actions, secrets and deployment targets, which sets the scope for the rest of the move.
Export run history and artifacts before retention ends
Because GitHub Actions keeps artifacts for a limited period, the team exports logs and artifacts it needs for audit or rollback through the REST API or GitHub CLI before they expire. Check the retention setting for your organization and repositories, since the default is not the only value you may see. The output is an archive with an index of run IDs, dates and artifact checksums that the security and compliance owners have accepted.
Stand up the Jenkins controller and build agents
Engineers install the Jenkins controller in your own cloud account, data center or air-gapped network, then add build agents, commonly on Kubernetes using the Kubernetes plugin, so the controller only coordinates work. They configure authentication, backups of $JENKINS_HOME, and a Java version that the Jenkins Java support policy lists as supported. The check is a test job that runs on an agent, produces an artifact and reports back to the controller.
Translate workflows into Jenkinsfile pipelines
Developers rewrite each GitHub Actions workflow as a Jenkinsfile in the project's repository, using Declarative or Scripted Pipeline syntax with stages and steps. Marketplace actions are replaced with equivalent plugins or shell commands, and triggers such as push and pull request events are mapped to Jenkins webhooks or multibranch scanning. The output is a reviewed Jenkinsfile for each pipeline that builds successfully on a test branch.
Re-create secrets that GitHub never returns
GitHub's API returns secret names but never their values, so each owner re-enters credentials from the source system, such as deployment keys, registry tokens and cloud roles, into Jenkins credentials stores with scoped access. Security staff record who issued each credential and rotate any shared secret. The check is a list of every secret name from the inventory, each marked as re-created and tested by a job that uses it.
Configure Jenkins as code and install plugins
Platform engineers express controller settings in YAML for the Configuration as Code plugin, loaded through CASC_JENKINS_CONFIG, and install plugins separately through Docker images or the Helm chart, since that plugin does not install them. Plugin versions are pinned and the list of installed plugins is kept under version control. The output is a controller that can be rebuilt from the repository, with a documented list of plugins and any that LTS releases stopped bundling.
Run pipelines in parallel and compare results
Teams run the Jenkins pipelines alongside the existing GitHub Actions workflows for a agreed period, comparing build outcomes, test counts, artifact checksums and deployment results. Differences are logged and fixed in the Jenkinsfile or the agent image. The check is a written comparison showing each pipeline produced the same or an explained result, signed off by the pipeline owner.
Cut over and retire GitHub Actions workflows
Once parallel runs match, the team switches triggers to Jenkins, disables the GitHub Actions workflows and removes or revokes runners and secrets left on GitHub. Repositories can stay on GitHub throughout, with Jenkins reading them through webhooks. The work scales with the number of pipelines and the size of the secret inventory, so teams should confirm estimates with their own environment. The closing output is a cutover record and a backup schedule for the controller.
How to decide and what to test in a pilot
The choice between GitHub Actions and Jenkins turns on whether your team can operate a controller, agents, plugins and upgrades, and whether you need control over where builds and secrets run. Feature parity matters less than these two questions. Before you commit, run one representative pipeline on Jenkins with a real build agent that matches your production toolchain, not a hello-world job on the controller.
During the pilot, record every plugin the pipeline needs and every plugin you had to install through the plugin manager to make it run. Check the Jenkins LTS changelog for bundled plugins that have been removed from the core distribution, since a plugin you depended on may need explicit installation after an upgrade. Then rehearse an upgrade of the LTS line on a copy of the controller, and confirm that a restore from backup brings back jobs, credentials and plugin versions. The scaling guide places all configuration, plugins and secrets in $JENKINS_HOME on the controller, so that directory is the backup target to test. Ask your platform team who owns these routines and how much time they will take each month.
Test secret handling as a separate exercise. Confirm how credentials are stored, which ones the pipeline needs at run time, and whether any can be scoped to a single job or folder. If you plan to manage the controller configuration as code, check whether the Configuration as Code plugin's YAML can reference credentials without writing their values into the repository. Document how a credential would be rotated after an incident, and confirm that your existing secrets can be re-created on the new system, because hosted services do not export secret values. Finally, weigh the result against your operating capacity and control requirements. If your team cannot staff controller maintenance, or if your compliance evidence depends on a specific control, the pilot results should decide the question, not the feature list.
