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Services

DevOps & Continuous Delivery

DevOps & Delivery

DevOps & Continuous Delivery

Deploy daily without fear — repeatable infrastructure and CI/CD.

We design and ship deployment pipelines, cloud infrastructure, and observability for teams that want to ship every day without breaking production.

DevOps pipeline diagram with build, test, deploy, monitor stages

Outcomes

Daily deploysSub-5-minute rollbackObservability baked in

Industries

SaaSE-commerceFintechB2B Tools

The Problem

Manual deploys, brittle infrastructure, and no observability.

Releases are scary, so they're rare

Bi-weekly merge nights mean accumulated risk and slow learning cycles.

No automated tests in the pipeline

Bugs reach production because tests live in someone's local laptop, not the CI.

Infrastructure is documented in someone's head

If your senior engineer leaves, the production environment goes with them.

When something breaks, nobody knows why

Without logs, traces, and metrics, every incident is a manual reconstruction.

Our Approach

From manual ops to a self-driving deployment system.

  1. Step 1

    Audit

    We map your current build/deploy/monitor flow and surface the riskiest gaps.

  2. Step 2

    Pipeline build

    GitHub Actions (or your CI) runs full tests, builds, and deploys to preview environments per PR.

  3. Step 3

    Infrastructure as code

    Terraform / Pulumi codifies your cloud setup so a fresh environment is one command away.

  4. Step 4

    Observability

    Logs, metrics, traces, alerts, and on-call playbooks. When something breaks, you know within minutes.

Deliverables

What ships at the end of the engagement.

Every engagement closes with a working production system, documentation, and a handover so your team owns it after we step out.

  • GitHub Actions / GitLab CI pipeline with full test coverage
  • Preview environments on every pull request
  • Infrastructure-as-code (Terraform / Pulumi) for production + staging
  • Sentry + observability stack (Datadog / Grafana)
  • Incident runbooks and on-call escalation paths
  • Post-handover support window

Use Cases

Where this service creates real leverage.

Pre-launch hardening

Get your CI/CD, IaC, and observability in place before the first customer hits production.

Confident launch with no surprise outages.

Post-launch stability

Replace manual SSH deploys and missing logs with a real pipeline and a real observability stack.

Daily releases, faster MTTR, calmer engineering team.

Cloud cost reset

Audit and right-size cloud spend across accounts, reserved instances, and unused resources.

20–40% lower cloud bill within a month.

On-call setup

PagerDuty, alerts, runbooks, and rotation policies wired up so incidents have a clear owner.

Less burnout, faster recovery, better postmortems.

Tech Stack

  • GitHub Actions
  • Vercel
  • AWS
  • Terraform
  • Docker
  • Kubernetes
  • Sentry
  • Datadog

Why SofGent

Built for teams that need real systems, not demos.

We've shipped to production thousands of times

DevOps muscle isn't theoretical — we've debugged the 3 AM incidents.

Right-sized for your stage

We don't over-engineer Kubernetes for a 4-person team. Tooling matches your scale.

Hand-over to your engineers

We document, train, and step out — no permanent DevOps dependency.

Cost-conscious infrastructure

We tune cloud bills as part of the engagement, not as a separate consulting project.

Pricing

From $10,000

Audit + build sprint

Pipeline + IaC + observability typically ships in 3 weeks.

FAQ

Answers to the questions clients ask before they book.

Don't see your question? Mention it on the strategy call — we'll cover the specifics for your stack and stage.

Probably not. For most product teams under 50 engineers, Vercel + a managed Postgres + S3 is the right stack. We recommend Kubernetes only when you genuinely need it — multi-region, complex internal services, or specific compliance constraints.

Logs, metrics, traces, and alerts — wired into Sentry plus a log/metrics backend like Datadog or Grafana Cloud. Plus on-call playbooks and an alerts runbook so incidents have a clear owner.

We audit running resources, reserved-instance usage, and zombie services. Right-sizing, autoscaling, and S3 lifecycle policies usually trim 20–40% in the first month without changing performance.

Yes. Knowledge transfer is part of the deliverable — we document the pipeline, run a hands-on walkthrough, and step out so your team owns it after.

Ready to start

Let's scope your devops & continuous delivery engagement.

Book a free 20-minute strategy call. We'll review your stack, surface the highest-ROI workflow, and outline a production path.