DevOps and Platform Engineering for Software Teams in Dallas
ITECS provides DevOps and platform engineering for software teams in Dallas-Fort Worth: CI/CD pipelines, Kubernetes, infrastructure as code, observability, and release controls for AI features. Work starts with an assessment of your pipelines, platform and cloud spend. ITECS runs what it builds, and builds the software itself when you need that.
- Who it is for
- Engineering and IT leaders who ship software
- What ITECS runs
- CI/CD, Kubernetes, Terraform and on-call
- Where it runs
- AWS, Azure or your own data center
- Pricing
- Custom-scoped and quoted after the assessment. How an engagement is priced
- After launch
- Run by ITECS on a managed DevOps retainer
Services
What ITECS builds and runs
If your pipeline grew one script at a time and the cloud bill grew with it, start at the top. The first service sets which others you need, and in what order.
- DevOps assessment
- Where your pipelines, platform and cloud spend stand today, and a written plan that sets the order of work.
- CI/CD pipelines
- Build, test and release automation, with an approval before production and a rollback path for each release.
- Kubernetes platforms
- EKS, AKS and on-prem clusters run as a product for your developers, with one standard way to deploy and upgrades on a calendar.
- Infrastructure as code
- Terraform and configuration that can be reviewed in a pull request, tested, and rebuilt from the repository.
- Observability and SRE
- Logs, metrics, traces and alerting tied to what your customers notice, with on-call practice and written incident reviews.
- Managed DevOps
- ITECS runs the pipelines and platforms after the build, on a retainer sized to what it operates.
Engagement
How an engagement runs
Work stops at both diamonds until you sign off: once on the written plan, and again before anything ITECS built reaches production.
Assess
ITECS reviews your pipelines, clusters, infrastructure code, alert history and cloud bill, and talks with the engineers who carry the pager.
Output: Current-state findings
Plan
ITECS writes the order of work: what to fix first, what to leave alone, what each change will cost to run, and who will own it.
Output: Written plan
Your approval
Build
Changes land as pull requests your engineers can review, in your repositories and cloud accounts. Infrastructure changes show their plan before they apply.
Output: Reviewed pull requests
Verify
Each change runs in staging against the checks agreed in the plan, and its rollback is tested there too. You approve the release before it reaches production.
Output: Release candidate
Your approval
Operate
Under managed DevOps, ITECS watches the pipelines and platforms, answers alerts within the coverage in the retainer, and keeps upgrades on schedule. If your team runs it instead, ITECS hands over the runbooks.
Output: Monitored production
Review
A regular review walks through incidents, release history and cloud spend, and its findings feed the next round of planning.
Output: Next order of work
Dashed outputs wait at your approvals. Each review returns the work to Plan.
AI in production
Shipping AI features to production
Providers retire model versions, someone edits a prompt, and a retrieval index goes stale. ITECS puts each of those changes through the same pipeline as your application code.
- Prompts, model versions and retrieval settings live in version control and ship through reviewed pull requests.
- Evaluation runs in CI against an agreed test set, and a change that scores below the bar does not merge.
- Retrieval is monitored in production for stale sources, missing citations and questions that come back with no source.
- Each environment has token and platform budgets with alerts, so a runaway job pages someone before the bill arrives.
- Development, staging and production keep separate keys and model settings, held in a vault with scoped access.
- A bad prompt or model change rolls back from the pipeline to the last version that passed, the same way a bad deploy does.
ITECS also builds the AI agents and the custom software these pipelines ship. Each agent build starts with an AI Blueprint, a fixed-fee specification.
Scenario
A software team that still releases by hand
Illustrative planning scenario, not a reported client result or a named public case study.
- Starting point
- A software company ships a web application and an AI search feature. Releases run from scripts on a few laptops and wait for the engineer who knows the order. The cluster is behind on upgrades, staging has drifted from production, and nothing in the cloud bill is tagged to a service.
- Scoped outcome
- The written plan sets the order: staging and production rebuilt from Terraform first, then a pipeline with approvals and rollback, then the cluster upgrade. The AI search feature gets an evaluation gate in CI and a spend budget. ITECS then runs the platform under a managed DevOps retainer, and tagged cloud spend joins each regular review.
Pricing
How an engagement is priced
DevOps work is custom-scoped. The assessment shows the size, age and risk of what you run, and the quote follows from it.
- Assessment
- The entry point for every engagement. ITECS confirms what it covers when you request it.
- What moves the quote
- How many environments and clusters you run, the state of the existing code, compliance requirements, and the on-call coverage you need.
- Build engagements
- Quoted from the written plan you approve.
- Managed DevOps
- A retainer that covers the pipelines and platforms ITECS operates and the response coverage you choose.
- Cloud and tools
- Cloud accounts and tool subscriptions stay client-paid unless a proposal states pass-through billing.
Published AI package prices do not apply to DevOps work.
FAQ
DevOps FAQ
What do DevOps and platform engineering services include?
DevOps and platform engineering services build and run the path from commit to production: CI/CD pipelines, the Kubernetes or cloud platform, infrastructure as code, and monitoring with on-call practice. ITECS does this work for software teams in Dallas-Fort Worth and across the United States.
Where does an engagement with ITECS start?
With a DevOps assessment. ITECS reviews your pipelines, platform, infrastructure code, alerting and cloud spend, then writes a plan that sets the order of work. Nothing is built until you approve that plan.
Do we need Kubernetes?
Not always. Some products run well on managed cloud services and a simple deploy pipeline, and ITECS says so when that is true. When a cluster is the right call, ITECS builds it on EKS, AKS or your own hardware and runs it as a product for your developers.
Can ITECS work alongside our engineers?
Yes. ITECS works in your repositories and cloud accounts through pull requests your engineers review, and ownership of the code and runbooks is written into the scope. It extends the CI system you already use, such as GitHub Actions or Azure DevOps, and replaces it only when the plan calls for that.
How do you ship AI features safely?
Through the same pipeline as the code. Prompts, model versions and retrieval settings are versioned, evaluated in CI against an agreed test set, monitored in production, and rolled back from the pipeline when a change misbehaves.
What happens after go-live?
You choose. ITECS can run the pipelines and platforms under a managed DevOps retainer, or hand them to your team with runbooks and a walkthrough. Managed DevOps uses the operating practice ITECS has applied to managed IT and security since 2002, including a 24/7 NOC. Response coverage for your systems is set in the retainer scope.
How is a DevOps engagement priced?
It is custom-scoped. Build work is quoted after the assessment from the plan you approve, and managed DevOps is a retainer scoped the same way. Cloud accounts and tool subscriptions stay client-paid unless a proposal states pass-through billing.
Can ITECS host the workloads too?
Yes. ITECS offers managed cloud hosting, and the written plan can weigh it against running in your own AWS or Azure accounts.
Does ITECS also look after the servers and network under the platform?
Yes. The managed IT side of ITECS, on itecsonline.com, offers Linux server support for the hosts you run, managed Azure cloud for the subscription and 24/7 network monitoring from the ITECS NOC. Each comes under its own agreement, and the written plan says which of them your platform needs.
Start with a DevOps assessment
Tell us what you ship, where it runs and what keeps breaking. You get back a written plan, the order of work, and a quote for the first piece of it.