Inferensys

Glossary

GitOps

An operational framework that uses a Git repository as the single source of truth for declarative infrastructure and application configuration, with automated reconciliation loops to enforce the desired state.
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OPERATIONAL FRAMEWORK

What is GitOps?

GitOps is an operational framework that uses a Git repository as the single source of truth for declarative infrastructure and application configuration, with automated reconciliation loops to enforce the desired state.

GitOps is a paradigm for managing infrastructure and application deployments where a Git repository serves as the immutable, version-controlled source of truth. All desired system states—including Kubernetes manifests, network policies, and cluster configurations—are declared as code and stored in Git. An automated reconciliation loop, typically implemented by a controller like Argo CD or Flux, continuously monitors the live cluster state and compares it against the Git repository, automatically correcting any drift.

This framework enforces immutable infrastructure principles by ensuring every change is traceable through a Git commit history, providing a complete audit trail for compliance and security. In disconnected environments, GitOps is critical because the reconciliation agent operates locally within the air-gapped cluster, pulling desired state from an internal private registry or mirrored Git server. This eliminates the need for external CI/CD push mechanisms and ensures that the cluster's declarative configuration remains self-healing and consistent, even without internet connectivity.

DECLARATIVE INFRASTRUCTURE MANAGEMENT

Core Principles of GitOps

GitOps operationalizes infrastructure as code by using a Git repository as the single source of truth, with automated reconciliation loops that continuously enforce the declared desired state onto target environments.

01

Declarative Desired State

The entire system state—from infrastructure provisioning to application configuration—is defined declaratively as code stored in Git. Instead of imperative scripts that detail how to reach a state, declarative manifests specify what the final state should be.

  • Kubernetes YAML manifests define deployments, services, and ingress rules
  • Terraform HCL files declare cloud infrastructure resources
  • Helm charts template and parameterize complex application stacks

The Git repository becomes the immutable record of intent. Every change to the system begins as a pull request against these declarative files, enabling full auditability and version control of infrastructure decisions.

Single Source
Truth Authority
02

Automated Reconciliation Loop

A software agent running inside the target cluster continuously polls the desired state from Git and compares it against the actual running state. When drift is detected, the agent automatically corrects the cluster to match the declared configuration.

  • Flux and Argo CD are the dominant reconciliation agents
  • The loop runs every 30-180 seconds by default, configurable per application
  • Self-healing: if someone manually patches a deployment, the agent reverts it

This closed-loop control eliminates configuration drift and ensures that the live environment is always a faithful reflection of the Git repository, not the result of ad-hoc kubectl commands.

30-180s
Reconciliation Interval
03

Pull-Based Deployment Model

Unlike traditional CI/CD push pipelines that inject changes into an environment, GitOps uses a pull-based architecture. The reconciliation agent running inside the cluster pulls the desired state from Git and applies it locally.

  • Eliminates the need to expose cluster credentials to external CI systems
  • The cluster initiates all connections outward to the Git repository
  • Works natively in air-gapped environments by pointing agents at local Git mirrors

This inversion of control dramatically improves security posture. No external system requires direct cluster-admin access, and all deployment actions are initiated from within the trusted boundary.

Zero
External Cluster Credentials
04

Observability via Git History

Because every state change originates as a Git commit, the repository history provides a complete audit trail of who changed what, when, and why. This transforms infrastructure management into a reviewable, reversible process.

  • git log reveals the full timeline of configuration changes
  • Pull request reviews enforce governance before changes merge
  • git revert provides instant rollback to any previous known-good state
  • Commit SHAs serve as immutable version identifiers for deployments

This Git-centric observability eliminates the "who ran what script" mystery that plagues imperative infrastructure management, making compliance audits straightforward and disaster recovery deterministic.

Full Audit
Per Commit
05

Drift Detection and Alerting

Reconciliation agents don't just correct drift—they detect and report it. When the actual cluster state diverges from the Git-declared state, the agent surfaces the discrepancy before taking corrective action.

  • Argo CD provides a visual diff of out-of-sync resources
  • Alerts can be routed to Slack, PagerDuty, or webhook endpoints
  • Drift windows reveal unauthorized manual interventions
  • Sync policies can be configured for manual approval or automatic correction

This visibility layer acts as a continuous compliance monitor, catching both accidental misconfigurations and potential security incidents where an attacker modifies running workloads outside the approved Git workflow.

Real-time
Drift Visibility
06

Separation of Concerns

GitOps enforces a clean boundary between build and deploy stages. CI pipelines build and test artifacts, but they never directly deploy. Deployment is the sole responsibility of the reconciliation agent.

  • CI pipeline: builds container images, runs tests, pushes to registry
  • Config repository: holds deployment manifests, updated via separate PR
  • Reconciliation agent: watches config repo, applies changes to cluster

This separation prevents CI system compromise from granting cluster access. An attacker who breaches the CI pipeline can push malicious images but cannot deploy them without a separate merge into the config repository—which requires code review approval.

2 Repos
Build vs Deploy
GITOPS CLARIFIED

Frequently Asked Questions

Concise, technically precise answers to the most common questions about the GitOps operational framework, designed for platform engineers and site reliability engineers deploying AI infrastructure in disconnected environments.

GitOps is an operational framework that uses a Git repository as the single, immutable source of truth for declarative infrastructure and application configuration. An automated reconciliation loop, running as a software agent (like Argo CD or Flux) inside the target cluster, continuously compares the desired state declared in Git against the actual running state of the cluster. If a drift is detected—either from a new commit to the repository or an unauthorized manual change—the agent automatically corrects the live system to match the canonical state in Git. This turns the entire delivery pipeline into a version-controlled, auditable, and repeatable process, where a git revert serves as a disaster recovery mechanism.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.