Cloud, DevOps & IT
DevOps consulting services for teams that want boring, frequent releases
We set up pipelines, infrastructure as code and monitoring so your developers ship small changes often and find problems before customers do.
- 01CI/CD pipelines
- 02Infrastructure as code
- 03Kubernetes and containers
- 04Observability
- 05Release strategies
- 06DevSecOps checks
- 07Platform engineering
At a glance
DevOps consulting is setting up the CI/CD pipelines, infrastructure as code and monitoring that let a software team release small changes often and safely. It's for teams of roughly 5 to 50 engineers whose releases are manual, slow or stressful. Tag4 Technology Solutions measures where time is lost, fixes the biggest bottleneck first and hands your engineers a setup they can run.
Updated
- Best for
- Software teams of roughly 5 to 50 engineers
- Typical timeline
- 4–8 weeks for a pipeline overhaul, 3–5 months for a fuller platform
- Engagement options
- A project build, then an optional monthly retainer for upgrades and on-call backup
- Core technologies
- GitHub Actions, Azure DevOps, Terraform, OpenTofu, Kubernetes, Argo CD
- What you get
- CI/CD, infrastructure in Git, OpenTelemetry observability and runbooks
You probably need DevOps consulting services if releases happen after hours, involve a checklist in someone's head, and occasionally end with a rollback nobody practiced. We work with software teams of roughly 5 to 50 engineers at SaaS companies and internal IT groups who want deployments to be dull, fast and reversible.
A lot of DevOps work fails because it starts with tools instead of problems. A team adopts Kubernetes for three services that would run happily on a managed app platform, then spends its time maintaining the cluster. Terraform gets introduced, but half the infrastructure is still clicked together in the console, so the code and reality drift apart. Pipelines grow to 40 minutes and developers learn to push less often. Monitoring collects everything and alerts on so much that on-call people mute it.
We begin by measuring where time and incidents actually come from, using the four DORA metrics (deployment frequency, lead time, change failure rate and recovery time) as a rough guide. Then we fix the biggest bottleneck first. That usually means a CI/CD pipeline with fast tests, preview environments for pull requests and automated deploys to staging. Infrastructure moves into Terraform or OpenTofu module by module, with state stored remotely and changes applied through pull requests. We recommend Kubernetes only when you have enough services and traffic to justify it. Observability is built on OpenTelemetry so you aren't locked into a single vendor.
A pipeline overhaul and basic infrastructure as code for one product typically takes 4–8 weeks. A fuller platform build with Kubernetes, GitOps and observability across several services is more like 3–5 months. After that, many clients keep us on a small monthly retainer for upgrades and on-call backup.
What we do
DevOps Services services
CI/CD pipelines
Build, test and deploy pipelines in GitHub Actions, Azure DevOps or GitLab CI, with caching, parallel tests and approvals where compliance calls for them.
Infrastructure as code
Terraform or OpenTofu modules for networks, databases, clusters and permissions, reviewed in pull requests and applied from the pipeline, not a laptop.
Kubernetes and containers
Managed clusters on EKS, AKS or GKE with Helm charts, autoscaling and GitOps deployment via Argo CD, plus a clear upgrade routine.
Observability
Metrics, logs and traces with OpenTelemetry, dashboards per service and alerts tied to user-facing symptoms rather than every CPU spike.
Release strategies
Blue-green and canary deployments, feature flags and automated rollback, so a bad release affects a few users for a few minutes.
DevSecOps checks
Dependency scanning, container image scanning, secret detection and infrastructure policy checks built into the pipeline without slowing it to a crawl.
Platform engineering
Templates and self-service tooling so developers can spin up a new service with pipelines, monitoring and infrastructure already wired in.
How we work
What you can expect from us
Biggest bottleneck first
We measure before we build, then fix whatever costs your team the most hours or incidents. Tool choices follow from that.
Simple where possible
Managed services such as Azure Container Apps or AWS App Runner often beat a self-run cluster for smaller teams. We say so even when Kubernetes would bill more hours.
Everything in Git
Pipelines, infrastructure and configuration are versioned and reviewed. If it only exists in a console, it gets imported or rebuilt as code.
Your engineers own it
We pair with your developers, write runbooks and run a handover period, because DevOps that depends on an outside firm is just outsourced ops.
Tools and platforms
- GitHub Actions
- Azure DevOps
- GitLab CI
- Terraform
- OpenTofu
- Kubernetes (EKS, AKS, GKE)
- Helm
- Argo CD
- Docker
- OpenTelemetry
- Prometheus
- Grafana
- Datadog
- HashiCorp Vault
Process
From first call to production
Discovery
A few working sessions to pin down goals, users, constraints and what "done" means. You get a written scope and estimate.
Design
Architecture, data model and clickable UI before heavy coding starts, so surprises show up early and cheaply.
Build
Two-week sprints with a demo at the end of each one. You see working software, not status reports.
Launch
Automated tests, staged rollout, monitoring and a rollback plan. Go-live should be boring.
Support
Bug fixes, updates and new features on a monthly plan, or a clean handover to your team.
FAQ
DevOps Services: common questions
Do we need Kubernetes?
Probably not if you run a handful of services with steady traffic. Managed platforms like Azure App Service, Azure Container Apps, AWS App Runner or Cloud Run handle that with far less upkeep. Kubernetes starts paying off with many services, several teams or unusual scaling and networking needs.
Terraform or OpenTofu?
Both use the same language and most modules work in either. OpenTofu is the open-source fork maintained under the Linux Foundation, while Terraform is HashiCorp's product under a business source license. For most companies either is fine, and we follow your existing choice or licensing preference.
How long until we see faster releases?
Usually within the first 3–4 weeks, once the main pipeline is rebuilt and deploys to staging are automated. Bigger changes like moving infrastructure into code or adopting Kubernetes take longer, but we sequence the work so improvements land continuously.
Can you work with our existing cloud and tools?
Yes. Most engagements start with an existing setup on AWS, Azure or Google Cloud and some mix of pipelines. We improve what you have unless there's a clear reason to replace it, and we explain that reason in writing.
Do you provide 24/7 on-call support?
We can act as second-line support for infrastructure issues under a retainer, with response times agreed in the contract. For most clients, your own engineers remain first responders for application issues, backed by the alerts and runbooks we set up.
Related
Often paired with
Cloud Solutions
Migrations to AWS, Azure and Google Cloud, planned workload by workload with cost built into the design.
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