Discover how our Bitbucket-based CI/CD solutions transformed development and deployment processes for our clients, especially those using the Atlassian suite.
A software company with 300+ developers relied heavily on the Atlassian suite (Jira, Confluence, Bitbucket) but struggled with disconnected development and delivery processes. Their manual deployment approach resulted in lengthy release cycles, inconsistent environments, and significant operational overhead.
We designed and implemented a comprehensive Bitbucket Pipelines solution tightly integrated with their Atlassian ecosystem:
pipelines:
branches:
develop:
- step:
name: Build and Test
image: node:16
caches:
- node
script:
- npm install
- npm test
artifacts:
- dist/**
- step:
name: Security Scan
image: sonarsource/sonar-scanner-cli
script:
- sonar-scanner -Dsonar.login=$SONAR_TOKEN
- step:
name: Deploy to Development
deployment: development
trigger: automatic
image: atlassian/pipelines-awscli
script:
- aws s3 sync dist/ s3://dev-bucket --delete
after-script:
- pipe: atlassian/jira-update:0.3.1
variables:
JIRA_BASE_URL: ${JIRA_BASE_URL}
JIRA_API_TOKEN: ${JIRA_API_TOKEN}
TRANSITION_ID: "41"
ISSUE_KEYS: $(git log -1 --pretty=%B | grep -o '[A-Z]\+-[0-9]\+')
staging:
- step:
name: Build and Test
image: node:16
caches:
- node
script:
- npm install
- npm test
artifacts:
- dist/**
- step:
name: Deploy to Staging
deployment: staging
trigger: manual
image: atlassian/pipelines-awscli
script:
- aws s3 sync dist/ s3://staging-bucket --delete
- step:
name: Integration Tests
image: cypress/included:9.4.1
script:
- cypress run --config baseUrl=https://staging.example.com
main:
- step:
name: Build for Production
image: node:16
caches:
- node
script:
- npm install
- npm run build:prod
artifacts:
- dist/**
- step:
name: Deploy to Production
deployment: production
trigger: manual
image: atlassian/pipelines-awscli
script:
- aws s3 sync dist/ s3://prod-bucket --delete
after-script:
- pipe: atlassian/jira-update:0.3.1
variables:
JIRA_BASE_URL: ${JIRA_BASE_URL}
JIRA_API_TOKEN: ${JIRA_API_TOKEN}
TRANSITION_ID: "51"
ISSUE_KEYS: $(git log -1 --pretty=%B | grep -o '[A-Z]\+-[0-9]\+')
A healthcare technology provider needed to modernize their deployment process while maintaining strict HIPAA compliance. Their existing manual processes were slow, error-prone, and created documentation gaps that complicated compliance audits.
We implemented a secure, compliant Bitbucket Pipelines solution for Kubernetes deployments:
pipelines:
custom:
compliance-release:
- step:
name: Build and Scan Container
image: docker:20.10
services:
- docker
script:
- docker build -t app:$BITBUCKET_COMMIT .
- pipe: aquasecurity/trivy-pipe:1.0.0
variables:
IMAGE: app:$BITBUCKET_COMMIT
SEVERITY: 'HIGH,CRITICAL'
EXIT_CODE: '1'
- step:
name: HIPAA Compliance Check
image: custom/compliance-scanner:1.2
script:
- compliance-scan --hipaa --output-format=json > compliance-report.json
- if grep -q "FAIL" compliance-report.json; then exit 1; fi
artifacts:
- compliance-report.json
- step:
name: Deploy to Staging
deployment: staging
trigger: manual
image: atlassian/pipelines-kubectl:1.14
script:
- pipe: atlassian/bitbucket-app-variables:0.3.1
variables:
NAMESPACE: 'staging'
- kubectl config use-context staging
- envsubst < k8s/deployment.yaml | kubectl apply -f -
- kubectl rollout status deployment/$APPLICATION_NAME -n $NAMESPACE
after-script:
- pipe: atlassian/jira-update:0.3.1
variables:
JIRA_BASE_URL: ${JIRA_BASE_URL}
JIRA_API_TOKEN: ${JIRA_API_TOKEN}
TRANSITION_ID: "41"
ISSUE_KEYS: $(git log -1 --pretty=%B | grep -o '[A-Z]\+-[0-9]\+')
- step:
name: Automated Tests
image: cypress/included:9.4.1
script:
- cypress run --config baseUrl=https://staging.example.com
- step:
name: Generate Compliance Documentation
image: python:3.9
script:
- python scripts/generate_compliance_docs.py --environment=staging
artifacts:
- compliance-docs/**
- step:
name: Deploy to Production
deployment: production
trigger: manual
image: atlassian/pipelines-kubectl:1.14
script:
- pipe: atlassian/bitbucket-app-variables:0.3.1
variables:
NAMESPACE: 'production'
- kubectl config use-context production
- envsubst < k8s/deployment.yaml | kubectl apply -f -
- kubectl rollout status deployment/$APPLICATION_NAME -n $NAMESPACE
after-script:
- pipe: atlassian/jira-update:0.3.1
variables:
JIRA_BASE_URL: ${JIRA_BASE_URL}
JIRA_API_TOKEN: ${JIRA_API_TOKEN}
TRANSITION_ID: "51"
ISSUE_KEYS: $(git log -1 --pretty=%B | grep -o '[A-Z]\+-[0-9]\+')
We don't just configure pipelines—we create comprehensive CI/CD solutions tailored to your Atlassian ecosystem and specific business requirements.
We begin by analyzing your current development workflow, Atlassian tools usage, and delivery processes. Our Bitbucket experts then create a tailored pipeline strategy that integrates seamlessly with your existing Atlassian ecosystem.
We design an optimal repository structure and branching workflow that aligns with your development model and team structure. This includes Bitbucket-specific features like branch restrictions, merge checks, and code review workflows.
We create and configure custom Bitbucket Pipelines that automate your entire software delivery lifecycle, from code validation and testing to building and deployment, with a focus on Atlassian tool integration.
We implement deep integration between Bitbucket Pipelines, Jira, and other Atlassian tools to ensure seamless tracking of issues from development through deployment, with automated status updates and complete traceability.
We incorporate comprehensive security checks into your pipelines, leveraging Bitbucket's native security features and integrating additional scanning tools to shift security left in your development process.
We provide comprehensive training for your team on Bitbucket Pipelines and implement monitoring and feedback mechanisms to continuously optimize your pipeline performance and capabilities.
We've developed specialized integrations between Bitbucket and key DevOps tools to create seamless workflows.
Our custom Jira integration goes beyond standard Bitbucket capabilities, automating issue transitions based on deployment status, linking deployments to issues, and generating comprehensive release notes directly from commit messages and Jira tickets.
We've perfected the integration between Bitbucket Pipelines and Kubernetes, enabling automated deployment across multiple environments with advanced strategies like canary deployments, blue-green releases, and automated rollbacks based on health metrics.
Our comprehensive security integration for Bitbucket combines multiple scanning tools into a unified pipeline step, providing code scanning, dependency analysis, container vulnerability checks, and compliance verification with detailed reporting.
We've developed specialized integrations between Bitbucket and GitOps tools like ArgoCD and Flux, enabling declarative infrastructure and application deployments with automatic synchronization between Git repositories and deployed environments.
Beyond technical automation, our Bitbucket Pipeline solutions deliver tangible business outcomes that drive growth and operational excellence.
Create a seamless workflow across your entire Atlassian stack, connecting development activities in Bitbucket with planning in Jira and documentation in Confluence.
Reduce deployment time by up to 80% through automated testing, building, and release processes that eliminate manual handoffs and bottlenecks.
Integrate automated security scanning and compliance checks directly into your development workflow to identify and address issues early.
Maintain end-to-end visibility from requirements to deployment with automated links between Jira issues, code changes, and deployments.
Our team of Bitbucket specialists brings deep experience implementing and optimizing CI/CD workflows within the Atlassian ecosystem.
At DanSoftDev, we've specialized in Bitbucket Pipeline automation since 2016, successfully delivering over 200 pipeline implementations. Our team includes Atlassian-certified professionals and DevOps engineers with comprehensive experience across the entire Atlassian stack.
Let our Bitbucket experts implement CI/CD pipelines that seamlessly integrate with your Atlassian ecosystem.
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