DevOps Consulting and DevOps as a Service

DevOps consulting from PS3G sets up the pipelines, environments and infrastructure as code that let a team release software on demand, with tests and security checks running before every deployment instead of after an incident. It is for organizations of every size: a founder whose only deployment process is one engineer’s laptop, a growing company whose releases take a weekend and a prayer, or an IT department that needs a platform team it cannot hire. We build the setup, document it, and either hand it over or run it for you as DevOps as a service.

Ship more often with fewer surprises

A working DevOps setup makes releases boring. Code goes into a branch, a pull request triggers a build and the test suite, a reviewer approves, and the change reaches staging without anyone copying files. Production is a promotion of the same artifact, with an approval gate and a rollback path. Infrastructure changes go through the same review as code, because they are code.

Most teams we meet have part of this: a build server nobody trusts, a Kubernetes cluster one person understands, or environments that drift apart because they were built by hand. Our DevOps consulting services start by mapping the current path from commit to production, then removing the manual steps one at a time, usually alongside a cloud migration or an application modernization program.

What we set up

CI/CD pipelines

Pipelines defined in YAML and stored with the code: build, unit and integration tests, packaging, artifact versioning, deployment to each environment with approvals, and rollback by redeploying the previous artifact. Our CI/CD services cover Azure Pipelines, GitHub Actions and GitLab CI, with branch policies and required status checks so nothing merges without passing.

Infrastructure as code

Terraform for multi-cloud and AWS estates, Bicep for Azure-only estates, with remote state, modules, a plan step in every pull request and policy checks before apply. Our infrastructure as code services replace click-built environments with versioned definitions, so a new environment is a parameter change rather than a week of tickets.

Containers and Kubernetes

Docker images built in the pipeline with multi-stage builds and pushed to Azure Container Registry, Amazon ECR or GitHub Packages. Where Kubernetes is justified, we set up AKS or EKS with node pools, autoscaling, ingress, workload identity, network policies and Helm or Kustomize deployments. Where it is not, we recommend Azure Container Apps, Azure App Service, Amazon ECS on Fargate or Google Cloud Run, which give most teams the same benefits with far less to operate. Kubernetes consulting with us starts with the question of whether you need it.

Environments

Development, test, staging and production built from the same code with different parameters; ephemeral preview environments per pull request where the architecture allows; configuration and secrets in Azure Key Vault, AWS Secrets Manager or HashiCorp Vault, never in the repository.

Monitoring and alerting

Logs, metrics and traces collected with OpenTelemetry into Azure Monitor and Application Insights, Amazon CloudWatch, or Prometheus and Grafana; dashboards per service; alerts routed to people who can act, tuned until they are trusted. For teams adopting SRE practices we define service-level objectives and error budgets and wire them to the dashboards.

Backups and security scanning

Backup and restore tested on a schedule, not assumed. In the pipeline: dependency scanning (Dependabot, Snyk or GitHub Advanced Security), static analysis (CodeQL, SonarQube), container image scanning (Trivy, Microsoft Defender for Containers), infrastructure scanning (Checkov, tfsec) and secret detection, each with a defined severity that blocks a merge.

Ask for a pipeline review: we map your commit-to-production path and list the manual steps to remove first.

DevOps as a service

Not every organization wants to staff a platform team. With DevOps as a service we run your pipelines and platform under defined SLAs: pipeline maintenance, agent and runner upgrades, Kubernetes version upgrades, certificate renewals, cost and security reviews, on-call for the platform, and small changes requested through a ticket queue. Your developers keep shipping; we keep the road paved.

This is the same operating model as our managed IT services, applied to the delivery platform. It suits a product company with two developers as well as a department inside a large group that needs a platform run to its security standards. Scope, response targets and reporting are written into the agreement.

Tooling

Need	What we use	Notes
Source control and CI/CD	Azure DevOps, GitHub Actions, GitLab	Pipelines as YAML in the repository; OIDC federation to the cloud instead of stored keys
Infrastructure as code	Terraform, Bicep, CloudFormation	Remote state with locking, modules, plan on every pull request
Containers	Docker, Helm, Kustomize	Multi-stage builds, signed images, image scanning before push
Orchestration	AKS, EKS, GKE, Azure Container Apps, ECS	Kubernetes only where the scale or isolation needs justify it
Observability	Azure Monitor, Application Insights, CloudWatch, Prometheus, Grafana, OpenTelemetry	Dashboards per service, alerts tied to service-level objectives
Security in the pipeline	CodeQL, SonarQube, Dependabot, Trivy, Checkov	Severity thresholds that block merges
Secrets	Azure Key Vault, AWS Secrets Manager, HashiCorp Vault	Injected at deploy time, rotated on a schedule

We are vendor-neutral. If your team already lives in GitHub, we build on GitHub Actions; if it runs Azure Boards and Azure Repos, we stay in Azure DevOps. Platform engineering, where it makes sense, means a small internal developer platform with templates and golden paths rather than a new product to maintain.

DevOps for .NET, Node.js and data pipelines

For .NET applications we set up builds with the .NET SDK, test runs with coverage, NuGet feeds in Azure Artifacts or GitHub Packages, Entity Framework migrations applied as a pipeline step with a backup first, and deployment slots on App Service or rolling updates on Kubernetes so releases have zero downtime. For Node.js and front-end applications: dependency caching, lint and test gates, bundle builds, static hosting or container deployment, and preview environments per pull request.

Data pipelines get the same treatment: Azure Data Factory and Databricks assets deployed from source control, dbt or SQL migrations versioned and tested, and data-quality checks in the pipeline. Cloud native development with managed queues, functions and containers is easier to run when the platform underneath was built this way from day one. Test automation built with our software testing team plugs into the same pipelines.

Engagement models

• Fixed-scope project. A defined setup: pipelines, infrastructure as code and monitoring for a named set of applications, delivered and documented.
• Dedicated team or staff augmentation. DevOps engineers working inside your team month to month, scaled up or down as the roadmap changes.
• Managed services. DevOps as a service: we run the pipelines and platform under defined SLAs.
• Advisory. A platform assessment, a target design and a roadmap your own team executes, with design reviews along the way.

How we start: a first conversation, a short assessment, a written proposal. The assessment maps your current path to production and names the first three changes worth making.

Why PS3G for DevOps consulting

We run the pipelines for our own products, including our HIPAA-compliant EHR and telehealth platform, DocVilla, so the practices on this page are ones we depend on every week. We have more than ten years of delivery behind us, a headquarters in Wilmington, Delaware, a delivery center in India for round-the-clock platform coverage, Microsoft and open-source certified engineers, and a testing center of excellence whose automation runs in the same pipelines we build for you.

Related services

• Cloud consulting and solutions: the architecture and managed cloud the platform runs on.
• Cloud migration: landing zones built as code before the first workload moves.
• Software testing and QA: automated test suites that run in the pipeline.
• Managed IT services: the operating model behind DevOps as a service.
• .NET development: applications built for the pipelines described here.
• Application modernization: incremental delivery depends on a pipeline that can deploy daily.

See all of our services.

Guides on this topic

• What Is a DevOps Pipeline? Stages, Tools and a Starter Setup

Frequently asked questions

What does a DevOps consultant actually do?

A DevOps consultant maps how code gets from a developer’s machine to production, then replaces manual steps with automated, reviewed ones: build and test pipelines, infrastructure as code, environment provisioning, monitoring and release practices. The work is hands-on engineering, not a slide deck. At the end your team has pipelines it can read, environments it can rebuild, and dashboards it can trust.

What is DevOps as a service?

DevOps as a service means an outside team builds and then runs your delivery platform under an agreement with defined SLAs: pipelines, runners, Kubernetes or container platforms, monitoring, secrets and the on-call for all of it. It suits organizations that need platform engineering but cannot justify a full-time platform team, from a two-developer product company to a department inside a larger group.

Do we need Kubernetes?

Often not. Kubernetes pays off when you run many services with different scaling needs, need strict workload isolation, or already have engineers who know it. For a handful of applications, Azure Container Apps, App Service, Amazon ECS on Fargate or Google Cloud Run deliver containers, scaling and rollouts with far less to operate. We will tell you which applies before recommending a cluster.

Which is better, Azure DevOps or GitHub Actions?

Both run YAML pipelines, support approvals and environments, and integrate with Azure and AWS. GitHub Actions has the larger marketplace and the tighter link to pull requests, code scanning and Dependabot. Azure DevOps bundles boards, repositories, artifact feeds and test plans in one place, which many Microsoft-centered teams prefer. We build on whichever your team already uses.

How long does it take to set up CI/CD?

A single application with a sensible structure can have build, test and deployment pipelines in a short engagement; a portfolio of applications with hand-built environments takes longer because the environments must be rebuilt as code first. We scope it after the assessment and deliver in increments, so the first pipeline is in use while the rest are being built.

Can you add security scanning to an existing pipeline?

Yes. Dependency, static-analysis, container and infrastructure scanning can be added to existing Azure Pipelines, GitHub Actions or GitLab workflows without rebuilding them. We set severity thresholds with you so the first week does not block every merge, then tighten them as findings are cleared. The same gates support SOC 2 and HIPAA evidence collection.