Growing companies face a common problem: you need enterprise-grade infrastructure, reliable automation, and intelligent cloud operations — but you cannot justify the cost or the timeline of building a full in-house team to deliver it.
At Professional IT Services, we solve exactly that. We act as your dedicated technical partner, delivering senior-level DevOps engineering, cloud cost management, AI-driven automation, and infrastructure as code — on a retainer model that scales with your needs, not your headcount.
Everything we build is documented, version-controlled, and designed to outlast any single engagement. No lock-in. No black boxes. Just reliable, well-architected systems your team can own and evolve.
Fractional DevOps
Senior DevOps expertise on a monthly retainer — without the full-time hire
Hiring a senior DevOps engineer on a full-time basis costs upwards of $150,000 per year once you factor in salary, employer taxes, benefits, equipment, and recruitment fees. For most startups and growing SMEs, that cost is simply not justified by the actual workload — which typically requires 10–20 hours of high-level attention per week, not 40.
Fractional DevOps gives you access to senior-level infrastructure expertise on a predictable monthly retainer. You get a dedicated cloud partner embedded in your workflow — managing your pipelines, monitoring your systems, responding to incidents, and proactively improving your architecture — at a fraction of the cost of a full-time hire.
This is not outsourced support or a helpdesk. It is a technical partnership. We join your Slack channel, attend your standups, and work directly alongside your development team as a senior infrastructure colleague who already knows your stack.
What is included
- 24/7 infrastructure monitoring — alerting setup and oversight via CloudWatch, Datadog, or your preferred tooling
- CI/CD pipeline management — building, maintaining, and improving your deployment pipelines on GitHub Actions or GitLab CI
- Security patching — weekly OS and dependency updates across your server fleet
- Incident response — guaranteed SLA ranging from next business day to 4-hour response and priority phone access depending on your plan
- Infrastructure as Code — managing all cloud resources via Terraform and Ansible so your infrastructure is always reproducible and auditable
- Backup verification — daily checks on database and file backups so you never discover a failed backup during a crisis
- Monthly strategy call — a dedicated sync with your CTO or lead developer to review architecture decisions, upcoming changes, and cost trends
- Kubernetes management — full EKS/AKS cluster oversight for teams on our Scale plan
- Architecture design — planning scalable, multi-region systems as your traffic and complexity grow
- Junior dev mentoring — guidance for your engineering team on DevOps best practices, available on our Scale plan
Who this is for
Fractional DevOps is the right choice if you are a startup or growing SaaS company that has outgrown ad-hoc infrastructure management but is not yet at the scale where a dedicated full-time DevOps hire makes financial sense. It is also the ideal bridge solution if your existing DevOps engineer has left and you need immediate, high-quality coverage while you decide on your long-term hiring strategy.
Our plans start at $1,450 per month for the Essential tier and scale up to $5,500 per month for the Scale plan, which includes full Kubernetes management, architecture design, advanced security, and priority SLA. All plans are month-to-month — cancel or pause with 30 days’ notice.
Read more: View Fractional DevOps plans and pricing
For a detailed comparison of the fractional model versus a full-time hire, including cost tables and recommendation criteria, see our blog post: Why Fractional DevOps is the Smartest Move for Growing Companies
Cloud Cost Optimization
Stop paying for cloud resources that are not working for you
Cloud bills have a tendency to grow faster than revenue. What starts as a manageable monthly infrastructure spend can balloon quietly — driven by oversized instances, idle resources, suboptimal database configurations, forgotten staging environments, and architectural patterns that were sensible at 10,000 users but become expensive at 100,000.
Most companies do not discover this drift until the bill arrives and someone asks why it has doubled in six months. By then, months of unnecessary spend have already left the account.
Our cloud cost optimization service is built to stop that leak. We conduct a thorough audit of your entire cloud environment — across AWS, Google Cloud, or Microsoft Azure — and deliver a prioritized action plan that identifies exactly where your money is going and what to do about it. Our clients typically reduce their monthly cloud spend by 15 to 30 percent within the first few weeks of engagement.
What the audit covers
- Full infrastructure scan — a complete inventory of every running resource, with a prioritized “kill list” of waste including idle instances, unattached volumes, and orphaned snapshots
- Rightsizing plan — compute, storage, and database resources matched to actual usage patterns rather than worst-case assumptions
- Reserved instance and savings plan analysis — identifying where commitment-based pricing would deliver significant savings against your actual usage baseline
- Architecture review — spotting structural inefficiencies such as unnecessary data transfer costs, suboptimal CDN configurations, and over-provisioned load balancers
- Security vulnerability check — included at no extra cost, covering exposed endpoints, misconfigured IAM roles, and publicly accessible storage buckets
- Prioritized recommendations report — a clear, actionable document organized by estimated savings impact so you know exactly where to start
Pricing
The cloud cost audit is available as a one-time engagement at $1,490 USD, or on a performance-based pricing model where our fee is tied to the savings we identify. We also offer ongoing cloud cost management as part of our Fractional DevOps retainer plans, ensuring that cost optimization becomes a continuous discipline rather than a one-off exercise.
Who this is for
This service is particularly valuable for companies that have been running on cloud infrastructure for more than 12 months without a formal cost review, teams that have recently scaled up rapidly and suspect their infrastructure configuration has not kept pace, and any business where cloud costs represent a meaningful and growing percentage of operating expenses.
For startups where runway is the primary constraint, cloud cost optimization can directly extend your operating timeline before your next funding round. That is not a marginal benefit — it is a strategic one.
AI-Driven Automation
Replace manual workflows with intelligent, self-improving systems
Most companies are sitting on a significant amount of hidden operational debt — repetitive manual tasks that consume engineering time, introduce human error, and slow down every process they touch. Deployments that require manual intervention. Reports that someone assembles by hand every Monday morning. Support ticket categorization done by reading and re-reading the same types of requests. Data pipelines that need a human to babysit them.
AI-driven automation is the next evolution beyond traditional scripting and workflow tools. Where conventional automation executes a fixed sequence of steps, AI-augmented systems can interpret unstructured inputs, make decisions in context, adapt to variation, and handle the kinds of edge cases that make traditional automation brittle.
We design, build, and deploy automation solutions that combine large language model capabilities with robust software engineering practices — so the result is not a fragile demo, but a production-grade system your team can rely on.
What we build
- LLM-powered internal tools — custom applications that use OpenAI, Anthropic, or open-source model APIs to automate knowledge work: summarization, classification, drafting, data extraction from unstructured documents
- AI-augmented CI/CD pipelines — deployment workflows that use AI to analyze test results, flag anomalies, generate release notes, and assist with incident post-mortems
- Intelligent monitoring and alerting — systems that reduce alert noise by applying contextual reasoning to determine which events genuinely need human attention
- Business process automation — connecting your SaaS tools, internal APIs, and databases through AI-augmented workflows using GitHub Actions, n8n, or custom-built pipeline orchestrators
- RAG (Retrieval-Augmented Generation) systems — giving your team or your customers an AI interface over your internal documentation, knowledge base, or product data
- AI cost management — engineering AI features with token efficiency and inference cost controls so that your AI capabilities remain economically viable as usage scales
Our approach
We start every AI automation engagement with a workflow audit — mapping your current manual processes to identify the highest-ROI automation candidates. We prioritize ruthlessly: not every process benefits from AI, and we will tell you honestly when a simpler scripted solution is the better choice. Where AI genuinely adds value, we design systems that are observable, testable, and maintainable by your existing engineering team.
All automation we build is version-controlled, documented, and integrated into your existing development workflow rather than deployed as a separate black-box system.
For a practical example of how AI can be integrated into engineering workflows, see our guide: How to Automate Business Workflows with GitHub Actions and AI Language Models
Who this is for
This service is the right fit for engineering teams that are spending measurable time on repetitive operational tasks, product companies that want to embed AI capabilities into their workflows without hiring an ML team, and startups that want to move faster by eliminating the manual bottlenecks that accumulate during early-stage growth.
Infrastructure as Code Development
Your cloud environment — version-controlled, reproducible, and audit-ready
If your infrastructure exists primarily in the memory of the person who built it, you have a risk problem. When that person is unavailable — through illness, resignation, or simply being on holiday during an incident — the institutional knowledge of how your systems are configured goes with them.
Infrastructure as Code (IaC) solves this at a structural level. When your entire cloud environment is defined in version-controlled code — every server, every network rule, every IAM permission, every load balancer — your infrastructure becomes as reviewable, testable, and reproducible as your application code. Spinning up a new environment becomes a single command. Rolling back a misconfigured change becomes a git revert. Onboarding a new engineer to understand your architecture becomes reading a well-documented repository.
We design and implement IaC foundations using Terraform and Ansible as our primary tooling, with experience across AWS, Google Cloud Platform, and Microsoft Azure.
What we deliver
- Terraform module development — modular, reusable infrastructure definitions covering compute, networking, storage, databases, and security — built to the standards your team can maintain and extend independently
- Ansible playbook development — server configuration management for Debian and RedHat-based systems, covering OS hardening, application deployment, and configuration drift prevention
- IaC migration — importing and codifying existing manually-provisioned infrastructure into version-controlled Terraform state, resolving configuration drift and establishing a clean baseline
- Environment parity — ensuring your development, staging, and production environments are defined by the same code base with only environment-specific variables differing, eliminating the “works on staging, breaks in production” class of problems
- CI/CD integration — connecting your IaC workflow to automated plan and apply pipelines so infrastructure changes go through the same review and approval process as application code
- State management and remote backends — configuring secure, team-accessible Terraform state storage with locking to prevent concurrent modification conflicts
- Documentation and runbooks — every module and playbook we deliver includes inline documentation and operational runbooks so your team can operate the infrastructure confidently without depending on us indefinitely
Tools and platforms we work with
Our IaC work spans Terraform, Ansible, and Pulumi for infrastructure definition; GitHub Actions and GitLab CI for automated plan and apply workflows; AWS, Google Cloud Platform, and Microsoft Azure as target cloud platforms; Docker and Kubernetes for container orchestration, including EKS and AKS cluster management. For a deeper look at how we approach Kubernetes workloads, see our technical post: Kubernetes Deployments, DaemonSets, and StatefulSets: a Deep Dive
Engagement model
IaC development is available as a standalone project engagement or as part of our ongoing Fractional DevOps retainer. For teams starting from scratch, we typically deliver a working foundational IaC layer — covering your core networking, compute, and security baseline — within two to four weeks. For teams migrating existing infrastructure, we begin with an audit and discovery phase before committing to a delivery timeline based on the actual complexity of what we find.
Who this is for
IaC development is the right investment if you are scaling your engineering team and need your infrastructure to be understandable by more than one person, if you are preparing for a compliance audit and need documented, auditable infrastructure configuration, or if you have experienced a production incident caused by an undocumented manual change and want to ensure it cannot happen again.
Not sure which service fits your situation?
Most of our engagements start with a free 30-minute discovery call. We ask direct questions about your current setup, your primary pain points, and your budget constraints. At the end of the call, we give you an honest recommendation — including whether a different type of engagement would serve you better than what we offer.
There is no hard sell. No generic proposal template. Just a direct conversation between engineers.
Frequently Asked Questions
No — monitoring and support is just the baseline. Fractional DevOps means you get a senior infrastructure engineer embedded in your team as an ongoing partner. Depending on your plan, that includes managing your deployment pipelines, improving your cloud architecture, reviewing infrastructure changes, joining your Slack channel, and attending strategy calls with your technical lead. Think of it less as a support contract and more as a part-time senior hire who already knows what they are doing from day one.
Freelancers are typically project-based — they deliver something specific and move on. Agencies often route your work through account managers before it reaches an engineer. With our retainer model, you work directly with senior engineers who take ongoing responsibility for your infrastructure. We document everything, build systems designed to last, and are accountable month to month — not just for the duration of a fixed project.
Most likely yes, unless one of your developers has significant infrastructure experience and the bandwidth to own it properly. In practice, when developers manage infrastructure alongside their main work, deployments get slower, incidents take longer to resolve, and cloud costs drift upward without anyone noticing. A dedicated DevOps partner frees your developers to focus entirely on the product — which is almost always where they create the most value.
After we get read-only access to your cloud account, we conduct a full scan of your infrastructure — every running service, storage bucket, database, and network component. Within a week, you receive a written report with a prioritized list of cost reduction actions, a rightsizing plan for your compute and database resources, an estimate of the monthly savings each action would deliver, and a security check covering any misconfigured or exposed resources. You can implement the recommendations yourself, or we can handle the execution as part of a follow-on engagement.
Our clients typically reduce their monthly cloud spend by 15 to 30 percent within the first few weeks after the audit. The exact figure depends on how long your infrastructure has been running without a formal review and how aggressively it was provisioned during early growth. Companies that scaled quickly tend to have the most headroom — over-provisioned servers and forgotten resources accumulate fast when the priority was growth rather than efficiency.
No long-term contracts. All Fractional DevOps plans are month-to-month and can be cancelled or paused with 30 days’ notice. You can also upgrade or downgrade between plan tiers as your infrastructure needs evolve. If you need a temporary boost — for example, during a major product launch or a cloud migration — you can move to a higher tier for that period and scale back once the heavy lifting is done.
Infrastructure as Code means your cloud environment — servers, databases, network rules, security settings — is defined in written code files rather than configured manually through a web console. The practical benefit is significant: your entire setup becomes reproducible, auditable, and version-controlled. If something breaks, you can roll back the change in minutes. If you need to spin up a new environment, it takes a single command instead of days of manual work. And if the person who built your infrastructure leaves, the knowledge does not leave with them — it is all written down in code that anyone can read and understand.
Yes. Many of our clients are not technology businesses in the traditional sense — they are companies in retail, logistics, professional services, or media that rely heavily on digital infrastructure to operate. If your business runs on cloud-hosted software, depends on a website or web application, or processes data that cannot afford to go offline, you can benefit from professional infrastructure management regardless of your industry.
Sure. A common example: a company receives hundreds of customer support emails per day. Their team reads each one, categorizes it, routes it to the right person, and drafts a response. We build an AI-powered workflow that reads incoming emails, classifies the request type, pulls relevant information from the company’s knowledge base, drafts a suggested response, and routes it to the right team member — who then reviews and sends it. What used to take two full-time staff members most of their day becomes a 20-minute review task. That is one example; the same approach applies to internal reporting, document processing, deployment workflows, and dozens of other repetitive processes.
For Fractional DevOps retainers, onboarding typically takes three to five business days. We get access to your cloud environment, review your current architecture, and deliver an initial assessment with priority actions before the first week is out. For the cloud cost audit, the report is usually ready within five to seven business days of receiving access. For IaC development and AI automation projects, we start with a scoping call and agree on a timeline based on the actual complexity of your environment — but most foundational engagements begin within one to two weeks of signing.
We work across AWS, Google Cloud Platform, Hetzner Cloud and Microsoft Azure. The majority of our clients run on AWS, and it is where we have the deepest day-to-day operational experience — but we have delivered cloud cost audits, IaC foundations, and DevOps retainer work on all three major platforms. If you are running a hybrid setup or planning a cloud migration, we can help with that as well.
The first step is a free 30-minute discovery call. We ask straightforward questions about your current setup, your team size, your main pain points, and your budget. By the end of the call, you will have a clear recommendation — including which service fits your situation best and an honest view of what you can expect in return. No sales pitch, no generic proposal. Just a direct conversation.
