DevOps & Cloud Consulting

Automate deployments, infrastructure, and operations so your engineers can ship safely multiple times per day.

Timeline
6-12 weeks for initial rollout, then iterative improvements
Ideal for
  • Teams stuck on manual or fragile deployment scripts
  • Scale-ups that need reliable releases before compliance or enterprise deals
  • Organizations migrating from data center or lift-and-shift cloud setups

What changes, and what you keep

Outcomes are what your team notices. Deliverables are what stays in your repo when we leave.

What changes

  • Deployment frequency jumps 10-50x with safe, automated releases
  • Rollbacks and incident recovery take minutes instead of hours
  • Infrastructure changes flow through Git-based change management
  • Developers self-serve environments without waiting on ops

What you get

  • CI/CD pipelines with automated testing, security checks, and progressive delivery
  • Infrastructure as Code foundations (Terraform or Pulumi) covering critical workloads
  • Container platform or serverless deployment strategy aligned to your stack
  • GitOps workflows (ArgoCD, Flux, or Atlantis) with policy guardrails
  • Runbooks, documentation, and enablement workshops for your team

What we do

Modern software teams deploy multiple times per day. If your team deploys weekly (or less), you’re leaving velocity and reliability on the table.

We help you build deployment pipelines that are:

  • Fast: Minutes, not hours
  • Safe: Automated testing catches issues before production
  • Reversible: Roll back in seconds if something goes wrong
  • Self-service: Developers deploy without waiting for ops

Infrastructure as code

Stop clicking in AWS Console. Manage infrastructure like you manage code:

  • Version control: Every change tracked in git
  • Code review: Infrastructure changes go through pull requests
  • Automation: Apply changes with terraform apply
  • Reproducibility: Rebuild environments identically
  • Documentation: Code is documentation

We typically use Terraform (most flexible, cloud-agnostic) or Pulumi (for teams that prefer TypeScript/Python).

CI/CD pipelines

Your pipeline should be boring. Push code → automated tests → deploy to production. No manual steps.

What we build:

  • Automated testing (unit, integration, end-to-end)
  • Code quality checks (linting, security scanning)
  • Container image building and scanning
  • Progressive rollouts (canary, blue/green)
  • Automatic rollback on failure
  • Deployment notifications (Slack, PagerDuty)

Platforms we support: GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins, CircleCI.

Container orchestration

Containers provide consistency across environments. Orchestration provides reliability and scale.

We help you choose:

  • ECS/Fargate: Simplest option for AWS-native teams
  • Kubernetes (EKS/GKE/AKS): For complex applications or multi-cloud
  • Nomad: Lightweight alternative to Kubernetes

Then we build the platform: networking, load balancing, auto-scaling, secrets management, logging, monitoring.

GitOps

Infrastructure changes should be as safe as code changes. With GitOps:

  • All changes committed to git
  • Automated sync keeps infrastructure matching git state
  • Roll back by reverting a commit
  • Audit trail built-in

We implement GitOps with ArgoCD (Kubernetes) or Atlantis (Terraform).

Who this is for

Best fit:

  • Teams deploying manually or with fragile scripts
  • Companies scaling beyond 5-10 engineers
  • Organizations pursuing compliance (SOC 2, ISO 27001)
  • Teams tired of deployment-induced outages

Not a fit:

  • Teams that deploy once per quarter (probably don’t need sophisticated DevOps)
  • Organizations with dedicated platform teams already in place

The process

Week 1-2: Discovery

  • Interview team, review current processes
  • Audit infrastructure and identify pain points
  • Define success metrics

Week 3-6: Implementation

  • Build CI/CD pipelines for core services
  • Implement infrastructure as code
  • Set up container orchestration (if needed)
  • Establish GitOps workflow

Week 7-10: Migration & training

  • Migrate remaining services
  • Train team on new workflows
  • Document everything
  • Conduct post-mortems on deployments

Week 11-12: Optimization & handoff

  • Optimize pipeline performance
  • Establish metrics and monitoring
  • Final knowledge transfer
  • Ongoing support transition

Success stories

“We went from deploying twice a month to 15 times per day. Deployments used to take 12 hours. Now they take 8 minutes.”

VP of Engineering, E-Commerce Platform

“BugaOps built a platform that lets our developers self-service everything. We haven’t had a deployment incident in 6 months.”

CTO, FinTech Startup

Pricing

Pricing varies based on team size, infrastructure complexity, and timeline.

Typical engagement: $35K-$75K for 8-12 week implementation.

Includes:

  • Full-time dedicated engineer(s)
  • Architecture and implementation
  • Documentation
  • Team training
  • 30 days post-launch support

Case study, E-Commerce / Retail

Deployment time

From 12 hours to 8 minutes

Read the case study

What happens on the call

  1. You describe what is broken. Thirty minutes, no sales pitch.
  2. We tell you straight: we can help, someone else can, or you do not need us yet.
  3. If it is a fit, you get a fixed-price proposal with milestones.

Booking new engagements for Q4 2026

Free consultation