Services
Pick a bounded outcome. I'll deliver to acceptance criteria.
CI/CD Pipeline Build or Repair
What it is
A production-ready continuous integration and deployment pipeline that automates your build, test, and deployment workflows. Whether you're starting from scratch or fixing a broken pipeline, you'll get a reliable, maintainable automation system.
Common deliverables
- GitHub Actions or Azure DevOps pipeline configuration
- Multi-stage pipeline: build, test, deploy
- Environment-specific deployment strategies (dev, staging, production)
- Quality gates: unit tests, linting, security scans
- Artifact management and versioning
- Deployment rollback procedures
- Pipeline documentation and runbook
Typical timeline
1-3 weeks depending on complexity and existing infrastructure
- Simple pipeline (single environment): 1 week
- Multi-environment with quality gates: 2 weeks
- Complex consolidation or repair: 3 weeks
What you need to provide
- Access to source code repository
- Target deployment environment details
- Existing build/test scripts (if any)
- Deployment credentials or service principal access
- Quality standards and compliance requirements
Definition of done (acceptance criteria examples)
- Pipeline runs successfully on every commit to main branch
- All quality gates (tests, scans) must pass before deployment
- Deployments to staging and production are automated
- Pipeline failures send notifications to designated channels
- Documentation includes troubleshooting steps
- Team walkthrough completed and questions answered
Terraform IaC: Baseline Module + Environment
What it is
Infrastructure as Code implementation using Terraform to provision and manage your Azure resources. Get reusable modules, environment patterns, and state management that makes infrastructure changes predictable and reversible.
Common deliverables
- Terraform modules for core infrastructure components
- Environment-specific configurations (dev, staging, prod)
- Remote state management (Azure Storage or Terraform Cloud)
- Variable management and secrets handling
- Resource naming and tagging conventions
- Change validation and planning workflows
- Module documentation and usage examples
Typical timeline
2-4 weeks depending on infrastructure scope
- Basic infrastructure module: 2 weeks
- Multi-environment setup with networking: 3 weeks
- Complex enterprise patterns: 4 weeks
What you need to provide
- Azure subscription and service principal credentials
- Infrastructure requirements and architecture diagrams
- Environment specifications (sizing, regions, etc.)
- Compliance and security requirements
- Existing infrastructure details (if consolidating/switching from another platform)
Definition of done (acceptance criteria examples)
- All infrastructure can be provisioned from scratch using Terraform
- State is stored remotely with proper locking
- terraform plan shows no unexpected changes on re-run
- Each environment is isolated and independently manageable
- Documentation covers module usage and common modifications
- Team can execute terraform apply with confidence
Azure Automation Script Pack (PowerShell / Python)
What it is
Custom automation scripts for Azure operational tasks: resource management, cost optimization, compliance checking, or scheduled maintenance. Get production-ready scripts with error handling, logging, and documentation.
Common deliverables
- PowerShell or Python scripts for specific automation tasks
- Azure Automation runbooks or scheduled jobs
- Error handling and retry logic
- Logging and notification integration
- Parameter validation and secure credential handling
- Unit tests for critical logic
- Script documentation and usage guide
Typical timeline
1-2 weeks per automation pack
- Simple automation task: 1 week
- Complex workflow with multiple steps: 2 weeks
- Multiple related scripts: 2-3 weeks
What you need to provide
- Detailed description of automation goals
- Azure subscription access
- Service principal or managed identity for automation
- Sample data or test environment
- Scheduling requirements (if applicable)
Definition of done (acceptance criteria examples)
- Scripts execute successfully in target environment
- Error conditions are handled gracefully with clear messages
- Logs provide sufficient detail for troubleshooting
- Scripts are idempotent (safe to run multiple times)
- Documentation covers parameters, prerequisites, and examples
- Handoff includes demonstration and Q&A
Observability Starter Pack
What it is
Production observability setup with logging, metrics, and alerting. Get visibility into your systems with Application Insights, Log Analytics, or other Azure monitoring tools, configured with meaningful alerts and dashboards.
Common deliverables
- Application Insights or Log Analytics workspace configuration
- Structured logging implementation in application code
- Custom metrics and performance counters
- Alert rules for critical conditions
- Dashboards for key operational metrics
- Query examples for common troubleshooting scenarios
- Runbook for responding to alerts
Typical timeline
1-3 weeks depending on application complexity
- Basic monitoring setup: 1 week
- Custom metrics and dashboards: 2 weeks
- Multi-application observability: 3 weeks
What you need to provide
- Application source code access (for instrumentation)
- Azure subscription and resource access
- List of critical business metrics and KPIs
- On-call rotation or notification preferences
- SLA targets and acceptable thresholds
Definition of done (acceptance criteria examples)
- All application logs are centralized and searchable
- Critical alerts are configured and tested
- Dashboards provide at-a-glance system health
- Team can query logs for troubleshooting
- Alert notification channels are working
- Documentation covers common queries and alert responses
DevSecOps Guardrails Starter (Policy Patterns + Checks)
What it is
Security and compliance automation using policy-as-code patterns. Get automated security scanning, compliance checks, and guardrails that prevent misconfigurations before they reach production.
Common deliverables
- Azure Policy definitions for compliance requirements
- Security scanning in CI/CD pipeline (SAST, dependency scanning)
- Infrastructure security checks (Terraform validation, Checkov, tfsec)
- Secret scanning and credential leak prevention
- Compliance reporting and audit trail
- Remediation guidance for common findings
- Security baseline documentation
Typical timeline
2-3 weeks for baseline implementation
- Basic security scanning: 2 weeks
- Custom policies and compliance checks: 3 weeks
- Enterprise compliance framework: 3-4 weeks
What you need to provide
- Security and compliance requirements
- Azure subscription access with policy permissions
- Existing security tools or preferences
- Risk tolerance and exception process
- Compliance frameworks to align with (if applicable)
Definition of done (acceptance criteria examples)
- Security scans run automatically on every code change
- Policy violations are detected and reported
- Pipeline fails on critical security findings
- Team can review and triage security findings
- Documentation covers policy rationale and exceptions
- Baseline compliance is measurable and reportable
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