Common Issues Faced in DevOps
I recently had a few hiccups while dealing with our DevOps Pipeline.
This blog post will hopefully help you understand, the common issues that we deal with DevOps pipeline.
Misconfigured CI/CD Pipelines
Scenario:
- Builds fail unexpectedly.
- IAM Roles missing
- Secrets missing.
Example:
A team didn’t move underlying resources before production release.
How to Prevent It:
- Use environment-specific variables and a terraform approval plan
- Store secrets (e.g., HashiCorp Vault, AWS Secrets Manager).
Lack of Proper Testing Before Deployment
Scenario:
- Release fails.
- Confidence in releases drops.
Example:
A microservice update passed unit tests but failed integration tests, causing a cascading failure in production.
How to Prevent It:
- Include unit, integration, and smoke tests in the pipeline.
- Use canary or blue-green deployments.
- Automate rollback strategies.
Poor Secrets Management
Scenario:
- Secrets are hardcoded in code or config files.
- Credentials leak into version control.
- Unauthorized access risks increase.
Example:
An engineer accidentally committed AWS keys to GitHub, leading to a \$5,000 bill from crypto mining bots.
How to Prevent It:
- Use secret scanning tools (e.g., GitGuardian) and do a pre-commit scan.
- Rotate secrets regularly.
- Use environment variables or secret managers.
Inadequate Monitoring and Alerting
Scenario:
- Incidents go unnoticed.
- Alert fatigue from noisy or irrelevant alerts.
- No visibility into system health.
Example:
A payment service went down for 2 hours before anyone noticed—because alerts were misconfigured and routed to an inactive Slack channel.
How to Prevent It:
- Set up meaningful SLOs and SLIs.
- Use tools like Prometheus, Grafana, and Alertmanager.
- Regularly review and tune alert rules.
Infrastructure Drift
Scenario:
- Manual changes in production diverge from IaC (Infrastructure as Code).
- Debugging becomes difficult.
- Environments become inconsistent.
Example:
A developer manually patched a production server, which was later overwritten by Terraform during a routine update.
How to Prevent It:
- Enforce IaC with tools like Terraform or Pulumi.
- Use drift detection tools (e.g., Terraform Cloud, AWS Config).
- Automate infrastructure provisioning and updates.
Tool Overload and Fragmentation
Scenario:
- Teams use too many overlapping tools.
- Onboarding becomes difficult.
- Integration issues arise.
Example:
A team used Jenkins, GitLab CI, and CircleCI simultaneously—leading to confusion over which pipeline was authoritative.
How to Prevent It:
- Standardize tooling across teams.
- Use internal developer platforms (IDPs).
- Document workflows clearly.