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Migrate from GitLab CI to Harness CI

Harness CI and GitLab CI both allow you to create workflows that automatically build, test, publish, release, and deploy code.

This guide describes the important differences between Harness CI and GitLab CI so that you can migrate your existing GitLab CI workflows to Harness CI.

What makes Harness CI unique?

Harness CI provides proprietary technologies, like Cache Intelligence and Test Intelligence, which make Harness CI four times faster than other leading CI tools.

  • Harness Test Intelligence (TI) is a proprietary technology that accelerates test cycles by running only the tests necessary to confirm the quality of the code changes that triggered a build. Visualizations show which code changes caused which tests to be selected, and TI can help you identify gaps in your test plan. TI also detects negative trends and provides actionable insights to improve quality. With TI, it's possible to reduce build cycle times by up to 90% without compromising application quality.
  • Harness Cache Intelligence is a proprietary technology that reduces pipeline execution time by automatically caching well-known directories for languages like Java and Node.js.

In addition, you can use plugins to include GitHub Actions, Bitrise Workflow Steps, Jira updates, and more in your Harness CI pipelines.

Harness CI is part of The Harness Platform, which is a self-service CI/CD platform that enables end-to-end software delivery. The Harness Platform includes features, functionality, and additional modules to help you build, test, deploy, and verify software. For example:

  • Secrets management through the Harness secrets manager or an external secrets manager.
  • Role-Based Access Control (RBAC) helps you control user and group access to Harness resources according to users' roles. Using RBAC increases security and improves efficiency.
  • Harness Policy as Code is a centralized policy management and rules service that leverages the Open Policy Agent (OPA) to meet compliance requirements across software delivery and enforce governance policies.
  • The Harness Enterprise Ready Self-Managed Edition is an end-to-end solution for continuous, self-managed delivery. You can install and update Harness Self-Managed Enterprise Edition using online or offline (air-gapped) methods.

Comparison: Workflow architecture

Both Harness CI and GitLab CI use workflows to organize builds. In Harness CI, these workflows are called pipelines. In both products, workflows are made up of one or more stages, which represent major segments of the workflow. Each stage include one or more jobs or steps, which in turn contain individual commands.

The following truncated examples provide a simple comparison of stage and step structure in GitLab CI and Harness CI.

    - stage:
name: Stage1
...
steps:
- step:
type: Run
name: step1
identifier: step1
spec:
connectorRef: my-docker-hub-connector
image: openjdk:17.0-jdk
shell: Bash
command: echo "this runs on openjdk"

For more information about Harness terminology, features, and pipeline components, go to the CI key concepts.

Jobs and steps

Jobs in GitLab CI are similar to steps in Harness CI. In both products, jobs/steps contain commands. Some commands are declared explicitly, whereas others run inherently based on the step type or configuration. An important difference is that GitLab CI jobs run in parallel by default, whereas in Harness CI steps run sequentially. However, you can enable parallelism and other looping strategies in Harness CI.

Root and non-root users

Steps run as the root user, generally. For example, with Harness Cloud build infrastructure, steps run directly on the host and, therefore, run as the root user.

For services running on containers (which are steps where you specify a Container Registry and Image to use to execute the step's commands), you can use the Run as User setting to specify a user to use for that container.

With Kubernetes cluster build infrastructure, you can use the Run as User setting to specify a user to use for individual steps, or you can set a default user for all steps and then override the default user as needed for individual steps.

Scripts in workflows

Both Harness CI and GitLab CI support running scripts or shell commands in jobs/steps. In GitLab CI, you use the script key to declare a script step.

In Harness CI scripts are supplied in the command key, and can be supplied for any step type that supports command.

Writing workflows

Both Harness CI and GitLab CI workflows are written in YAML. Whereas GitLab workflow configurations are always stored in the .gitlab-ci.yml file in your code repo's root directory, Harness provides you a choice of inline pipeline storage or importing pipelines from Git. Harness also provides both visual and code-based pipeline editors.

  • The Harness YAML editor includes schema validation and auto-complete recommendations to simplify and expedite pipeline configuration.
  • The Harness visual editor provides a guided experience that enables anyone to easily build, debug, and run pipelines.
  • You can switch back and forth between editors.
Complete workflow comparison

Here are YAML examples of complete workflows in GitLab CI and Harness CI.

pipeline:
name: gitlab test
identifier: gitlab_test
projectIdentifier: gitlab_test
orgIdentifier: default
tags: {}
stages:
- stage:
name: Stage1
identifier: stage1
type: CI
spec:
cloneCodebase: true
execution:
steps:
- step:
type: Background
name: Background_1
identifier: Background_1
spec:
connectorRef: account.harnessImage
image: postgres:10.8
envVariables:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: <+secrets.getValue("DbPasswordSecret")>
POSTGRES_DB: postgres
- step:
type: Run
name: step1
identifier: step1
spec:
connectorRef: myDockerHubConnector
image: openjdk:17.0-jdk
shell: Bash
command: echo "this runs on openjdk"
platform:
os: Linux
arch: Amd64
runtime:
type: Cloud
spec: {}
- stage:
name: Stage2
identifier: Stage2
type: CI
spec:
cloneCodebase: true
execution:
steps:
- step:
type: Run
name: step1
identifier: step1
spec:
connectorRef: myDockerHubConnector
image: node:13.0.0
shell: Bash
command: |-
echo "pipeline var:" <+pipeline.variables.pipelinevar1>
echo "project level var:" <+variable.proj_var>
echo "secret example :" <+secrets.getValue("DbPasswordSecret")>
platform:
os: Linux
arch: Amd64
runtime:
type: Cloud
spec: {}
variables: []
- stage:
name: matrix stage
identifier: Stage4
type: CI
spec:
cloneCodebase: true
execution:
steps:
- step:
type: Run
name: step1
identifier: step1
spec:
shell: Bash
command: echo "Testing on <+matrix.testparam>"
failureStrategies: []
platform:
os: Linux
arch: Amd64
runtime:
type: Cloud
spec: {}
strategy:
matrix:
testparam:
- node
- python
- ubuntu
maxConcurrency: 3
properties:
ci:
codebase:
connectorRef: account.myscm
repoName: test
build: <+input>
variables:
- name: pipelinevar1
type: String
description: ""
value: someval

Comparison: Specify a Docker image

In GitLab CI, images are defined at the job level, and you can specify global images that are used by jobs that don't have an image specified, for example:

step1:
stage: stage1
image: openjdk:17.0-jdk

In Harness CI, you specify connectors and images for each step, if necessary. Depending on the step type, the commands you are running, and your build infrastructure, you may not need to specify an image. For example, if a binary is already available on your build farm, you may not need to pull an image for that binary.

For example, the following step includes a connectorRef referencing a Docker connector. Docker connectors are platform-agnostic and can be used to connect to any Docker container registry.

              - step:
type: Run
name: step1
identifier: step1
spec:
connectorRef: my-docker-hub-connector
image: openjdk:17.0-jdk
shell: Bash
command: echo "this runs on openjdk"
What are connectors?

Harness integrates with many different types of repositories and providers. A connection from Harness to other platforms is called a connector. Connectors can connect to source control providers, cloud providers, container registries, and more.

Comparison: Define a multi-stage pipeline

Both GitLab CI and Harness CI execute workflow stages in a specific order based on the YAML configuration.

  stages:
- stage:
name: Test
...
- stage:
name: Build
...
- stage:
name: Upload
...

The following examples compare GitLab CI and Harness CI workflows with multiple stages.

YAML examples: Multi-stage pipelines
 stages:
- stage:
name: test
identifier: test
description: ""
type: CI
spec:
cloneCodebase: true
platform:
os: Linux
arch: Amd64
runtime:
type: Cloud
spec: {}
execution:
steps:
- step:
type: Run
name: test-step
identifier: teststep
spec:
shell: Sh
command: |
go fmt $(go list ./... | grep -v /vendor/)
go vet $(go list ./... | grep -v /vendor/)
go test -race $(go list ./... | grep -v /vendor/)
- stage:
name: build
identifier: build
type: CI
spec:
cloneCodebase: true
platform:
os: Linux
arch: Amd64
runtime:
type: Cloud
spec: {}
execution:
steps:
- step:
type: Run
name: build-step
identifier: buildstep
spec:
shell: Sh
command: |
mkdir -p mybinaries
go build -o mybinaries ./...
sharedPaths:
- mybinaries

Comparison: Environment variables

In GitLab CI, you can use environment variables to control the behavior of jobs and pipelines, store values you want to reuse, or avoid hard-coding values in your .gitlab-ci.yml file. You can use predefined environment variables, define custom variables in the .gitlab-ci.yml file, or define variables at the project, group, or instance levels.

This range of variable definition is also possible in Harness CI. In addition to built-in variables, you can define variables within individual pipelines, stages, and steps as well as at the project, organization, and account levels.

This GitLab example demonstrates use of a pre-defined variable as well as a custom variable definition.

test_variable:
stage: test
script:
- echo "$CI_JOB_STAGE" #Uses pre-defined variable

# Custom variable definition in .gitlab-ci.yml file

variables:
SA_PASSWORD: $SA_PASSWORD

Comparison: Matrix and parallelism

GitLab CI jobs run in parallel by default, whereas in Harness CI steps and stages run sequentially unless you enable parallelism. For example, this Harness CI YAML example shows a pipeline with two stages that run in parallel, as indicated by - parallel, and two stages that run sequentially after the two parallel stages.

  stages:
- parallel:
- stage:
name: Stage1
...
- stage:
name: Stage2
...
- stage:
name: Stage3
...
- stage:
name: Stage4
...

In addition to parallelism, you can use Harness CI's looping strategies to make your pipelines more dynamic and versatile. These strategies allow your pipelines to execute the same set of tasks multiple times for several different configurations without requiring you to intentionally create unique steps or stages for each iteration. This is achieved by mentioning user-defined tags and referencing them in the pipeline using the following expression syntax: <+matrix.usertag>

As in GitLab CI, you also can combine parallelism and matrix strategies in Harness CI, as shown in the following examples.

The following example describes a stage in a Harness CI pipeline that includes one step with matrix and parallelism strategies. The looping strategies are defined in strategy at the stage level. One matrix strategy, called testparam, is defined in matrix and parallelism is defined by maxConcurrency: 3. The script in the Run step calls the inputs from the matrix strategy by using the expression +matrix.testparam>.

  stages:
- stage:
name: Stage1
identifier: Stage1
type: CI
spec:
cloneCodebase: true
execution:
steps:
- step:
type: Run
name: step1
identifier: step1
spec:
connectorRef: dockerconectorref
image: dockerimage:tag
shell: Bash
command: echo "Testing on <+matrix.testparam>"
strategy:
matrix:
testparam:
- node
- python
- ubuntu
maxConcurrency: 3

Comparison: Triggers

Webhooks are a convenient way to trigger CI builds on demand by sending an HTTP post request to specialized URLs. This is particularly useful for event-based triggering, in which a webhook can be called whenever a specified event occurs.

In GitLab CI, pipelines can be triggered only through API.

Harness CI supports webhook, artifact, manifest and schedule triggers. The two most commonly used triggers are webhook triggers based on Git events and scheduled triggers based on cron expressions. To learn more about creating a trigger, go to Triggers.

trigger:
name: make build
identifier: make_build
enabled: true
orgIdentifier: default
projectIdentifier: DhrubaCI
pipelineIdentifier: Demo3
source:
type: Scheduled
spec:
type: Cron
spec:
expression: 45 13 13 09 2
inputYaml: |
pipeline:
identifier: Demo3
properties:
ci:
codebase:
build:
type: branch
spec:
branch: main

See also

Review the following information before proceeding with migration: