In this blog, we’ll explore the top things missing in your Salesforce DevOps process and how to address them to achieve faster, more reliable, and scalable deployments.
Table of Contents
1. Lack of Proper Version Control Integration2. No Automated Testing Strategy3. Poor Environment Management4. Manual Deployment Processes5. No Rollback Strategy6. Lack of Monitoring & Observability7. Inadequate Collaboration Between Teams8. No Security & Compliance Checks9. Missing Performance Testing10. No Metrics or Continuous ImprovementConclusion: Salesforce DevOps Process
1. Lack of Proper Version Control Integration
The Problem:
Many Salesforce teams still rely on change sets or manual deployments without proper version control systems (VCS) like Git. This leads to
Loss of change history
Difficulty in tracking who made changes
Increased risk of overwriting work
The Solution:
Adopt Git-based development (GitHub, GitLab, Bitbucket)
Use source-driven development (SFDX) for better metadata management.
Implement branching strategies (GitFlow, trunk-based development).
2. No Automated Testing Strategy
The Problem:
Manual testing slows down deployments and increases errors. Many teams:
Skip unit tests to meet deadlines.
Lack regression testing, leading to production issues
Don’t enforce test coverage requirements.
The Solution:
Automate unit, integration, and regression tests.
Use Salesforce DX and CI/CD tools (Jenkins, Copado, Gearset).
Set minimum test coverage thresholds (75%+)
Implement smoke tests for critical functions.
3. Poor Environment Management
The Problem:
Many organizations struggle with
Too few or too many sandboxes
No clear promotion strategy (Dev → QA → UAT → Prod)
Environment drift (differences between orgs)
The Solution:
Standardize sandbox usage (Dev, QA, UAT, Staging)
Use scratch orgs for short-lived environments.
Implement configuration synchronisation (metadata and data).
4. Manual Deployment Processes
The Problem:
Relying on change sets or manual deployments leads to
Human errors (missing components, incorrect dependencies)
Longer release cycles
Lack of audit trails
The Solution:
Adopt CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions)
Use Salesforce DevOps tools (Copado, Flosum, and Autorabit).
Implement automated validation & deployment checks.
5. No Rollback Strategy
The Problem:
When a deployment fails, many teams do the following:
Don’t have a backup plan.
Struggle to revert changes quickly
Experience extended downtime
The Solution:
Maintain backup snapshots before deployments.
Use version control to revert changes.
Implement blue-green deployments (parallel environments).
6. Lack of Monitoring & Observability
The Problem:
Post-deployment issues often go unnoticed due to
No real-time monitoring
No error tracking (logs, debug levels)
Slow incident response
The Solution:
Use Salesforce Event Monitoring
Integrate with APM tools (New Relic, Splunk)
Set up alerts for failed processes.
7. Inadequate Collaboration Between Teams
The Problem:
Developers, admins, and QA work in silos.
No shared visibility into changes
Lack of documentation
The Solution:
Use collaboration tools (Slack, Microsoft Teams).
Implement DevOps dashboards (Copado, Jira)
Maintain runbooks & deployment guides
8. No Security & Compliance Checks
The Problem:
Security vulnerabilities (exposed APIs, weak permissions)
Non-compliant configurations (GDPR, SOX)
No automated security scanning
The Solution:
Use static code analysis tools (Checkmarx, SonarQube).
Implement Salesforce Shield for encryption.
Run compliance checks in CI/CD pipelines.
9. Missing Performance Testing
The Problem:
Slow-running processes after deployment
Unoptimized queries & workflows
No load testing before go-live
The Solution:
Run performance tests in staging environments.
Use Salesforce Optimiser for best practices.
Monitor Apex CPU limits & SOQL queries.
10. No Metrics or Continuous Improvement
The Problem:
No tracking of deployment success/failure rates
No feedback loop for improvements
Same issues repeat in every release.
The Solution:
Track key DevOps metrics (lead time, deployment frequency).
Conduct retrospectives after releases.
Continuously optimize the pipeline.
Conclusion: Salesforce DevOps Process
Many Salesforce DevOps processes struggle due to critical gaps. Lack of proper Git integration leads to chaotic version control, while insufficient automated testing increases deployment risks. Manual CI/CD pipelines slow releases, and inconsistent sandbox management creates deployment bottlenecks. Poor collaboration between teams causes misalignment, and missing rollback mechanisms amplify failure impacts. Without deployment metrics or governance, teams lack visibility into their bottlenecks.
Founder and CEO of iTechCloud Solution, a Salesforce consulting and product partner since 2017. He sets engagement strategy and stays the commercial owner of every account, working with clients across Salesforce, AI and data from the first call through to go-live.
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