GitOps
DevOps

GitOps manages infrastructure and applications through Git — the single source of truth, with automated, auditable and self-healing deployments.

Zero Trust Automation Observability AI-Driven

Technologies available for this scope

A
ArgoCD
F
FluxCD

What organizations face today

  • Adoption — shifting to declarative operations
  • Secret management — handling secrets in Git workflows
  • Multi-cluster — consistency at scale
  • Drift — keeping reality matching Git
  • Rollback — fast, reliable recovery

Future Challenges

GitOps everywhere

The default operating model.

Progressive delivery

Automated canary and rollback.

AI-driven operations

Smart reconciliation and healing.

Policy as Code

Governance in the Git workflow.

Fleet management

Thousands of clusters from Git.

A Virtuous Cycle of Services

Services define the WHAT — the desired action according to the service type. They follow a virtuous cycle aligned with your GitOps initiatives.

Define

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We define a GitOps skills development plan covering automation, security and observability.

Teach

Knowledge Transfer
Outcome(s)
  • Videos recorded session
  • Deliverable
PS Example

We deliver technical GitOps sessions tailored to your teams' level and objectives.

Validate

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We validate GitOps knowledge through practical exercises and real-world scenarios.

Evaluate

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We evaluate GitOps skills and identify improvement areas for continuous progression.

Mentor

Knowledge Transfer
Outcome(s)
  • Deliverable
PS Example

We provide GitOps technical mentoring for troubleshooting, design and optimization.

Inform

Knowledge Transfer
Outcome(s)
  • Webinar
  • Deliverable
PS Example

We keep you informed about GitOps trends, best practices and emerging technologies.

AI & Automation

AI and automation enhance every aspect of your GitOps scope: detection, analysis, configuration, remediation, prediction and optimization.

  • Drift detection
  • Deployment risk scoring
  • Anomaly detection
  • Rollback automation