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DevOps Engineering Unit

DevOps Toolchain

GitOps deployment tasks and CI/CD pipelines.

Build CI/CD pipelines, configure GitOps engines, write infrastructure code, deploy telemetry stacks, and automate policy validations.

GitHub ActionsAzure DevOpsJenkinsTerraformArgoCDPrometheusGrafana
LIFECYCLE

DevOps Lifecycle

Optimize build pipelines from commit to deploy. Enforce quality checking, verify parameters, and route code configurations.

Continuous Integration builds testing codebase commits automatically

Continuous Deployment pipelines pushing versions to cloud nodes

Release Orchestration managers coordinating staging rollouts

GitHub Actions workflows running automated test libraries

Azure DevOps multi-stage pipelines coordinating environment builds

Jenkins legacy system setups migrated to lightweight YAML configurations

Reusable Actions workflows caching dependency layers for speed

PIPELINES

CI/CD Factory

Standardize builds pipelines. Create reusable workflows in GitHub Actions and manage environments inside Azure DevOps.

RECONCILIATION

GitOps Platform

Sync cluster status to Git files. Use ArgoCD loop controllers to apply configuration changes automatically.

ArgoCD deployment controllers coordinating cluster state setups

Git-tracked manifest modifications validating resource changes

Automatic rollback setups reverting invalid deployment actions

Declarative configuration tracking matching local repositories

Terraform modular workspaces provisioning cloud infrastructure

State file locks preventing parallel configuration overwrite errors

Drift Detection checks verifying actual resource parameters in cloud

INFRASTRUCTURE AS CODE

Infrastructure Automation

Manage cloud assets in files. Use Terraform templates to provision networks, load balancers, and database servers.

METRICS TELEMETRY

Observability Stack

Monitor system logs and resource statuses. Set up Prometheus metrics scrapers and Grafana analytical charts.

Prometheus telemetry scrapers monitoring pod resource stats

Grafana dashboards visualising live latency and traffic metrics

Alertmanager routing threshold alerts to pager tools

SAST code scanners scanning pull requests for credentials

Container vulnerability checkers auditing base operating systems

Policy-as-code libraries blocking non-compliant build pushes

DEVSECOPS

Security Automation

Embed verification rules inside pipeline actions. Scan repositories for secrets and check images for package vulnerabilities automatically.

FAQ

Frequently Asked Questions

GitOps uses Git as the single source of truth for infrastructure and applications. Tools like ArgoCD continuously pull configurations from Git, ensuring clusters match the repo.

We standardize on OpenID Connect (OIDC) to federate authentication, avoiding stored long-lived API keys entirely.

Yes, we analyze your Jenkinsfiles and refactor them into modular, reusable GitHub Actions workflows, typically reducing build durations.

Drift happens when manual changes are made to cloud resources directly, bypassing IaC code. We run daily checks to alert on drifts.

Prometheus scrapes raw metrics from HTTP endpoints exposed by applications and system agents, storing them in a time-series database.

Yes, we inject SonarQube or Trivy scans directly into pull request checks, preventing vulnerabilities from merging.

It is the practice of managing security policies in code files (e.g. Open Policy Agent). Build runners verify configurations against policies automatically.

We store states in remote cloud buckets (e.g. S3, Azure Blob) with encryption enabled, and use database-backed locks to prevent parallel writes.

Yes, we route threshold breaches to Slack, MS Teams, PagerDuty, or customized webhook integrations.

Click 'Consult DevOps Engineers' to schedule an audit of your delivery pipelines and plan a migration path.

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