DevOps As a Service

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DevOps as a Service for Teams Tired of Broken Builds

Run as a Function, Not a Ticket Queue.

Senior DevOps engineers build, run, and improve your delivery platform on a monthly service: CI/CD, infrastructure as code, Kubernetes, monitoring, and on-call. You keep the repositories, the cloud accounts, and the final say on what changes are made.

250+

Engineers across AI

2000+

Projects Delivered

30%

Cloud-cost reduction

92%

Client Retention

12+

Countries Catered

2 Weeks

Average Staffing Timimg

Share your project vision


IT Consulting Companies

2k+

Completed Projects

What's Inside DevOps As a Service

DevOps as a service gives you a working DevOps function on a monthly contract, run by RCV World engineers inside your cloud accounts and your tools. The scope covers CI/CD pipelines, infrastructure as code, container platforms such as Kubernetes, monitoring and alerting, on-call incident response, pipeline security scanning, and cloud cost reviews. A named lead, along with your engineering head, owns the platform backlog, and response and recovery targets are written into the contract. Pricing follows the shape of the work: a fixed monthly fee for a defined scope, a setup phase plus a monthly run fee, or time-and-materials for one-off projects.

Technologies We Work With

Our engineering expertise spans the platforms, frameworks, and protocols enterprises are actually standardizing on right now.

Smarter Systems.
Faster Decisions.

We build with the same models and protocols now standard in production agentic AI, not last year’s chatbot stack. Multi-agent orchestration and governance are part of the build, not an afterthought.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral AI
  • PyTorch
  • TensorFlow
  • LangChain
  • LlamaIndex
  • MLflow
  • Pinecone
  • Weaviate
  • ChromaDB
Technologies We Work With​

Written to Last.
Not Just Shipped.

AI writes a growing share of the code today. Our engineers still own the architecture it lands in, the part that decides whether a system holds up in year three, not just at launch.

React Next.js Angular Vue.js TypeScript Tailwind CSS Flutter React Native Node.js NestJS Express.js Python Django FastAPI Java Spring Boot .NET Go PostgreSQL MySQL MangoDB Redis Elasticsearch REST GraphQL gRPC WebSockets

Always Deploying.
Never Guessing.

Platform engineering and FinOps discipline keep releases moving fast and the cloud bill explainable, tied to what’s actually driving cost, not a surprise at month’s end.

AWS Microsoft Azure Google Cloud Platform Docker Kubernetes Helm CSS Mistral AI Terraform Pulumi AWS CloudFormation GitHub Actions GitLab CI/CD Jenkins Azure DevOps Prometheus Grafana Datadog Go New Relic ELK Stack

Trusted Data.
Traceable Always.

Manual data cleanup is disappearing into automation. What’s left, lineage, governance, and integration your team can actually audit, is where we put senior engineers.

Apache Spark Apache Kafka Apache Airflow dbt Snowflake BigQuery Amazon Redshift Azure Synapse Microsoft Power BI Tableau Looker Apache Superset Salesforce SAP Microsoft Dynamics 365 Oracle

On Call.
Even When You're Not.

Predictive monitoring catches most incidents before an alert fires. When one does reach a person, it’s already been triaged, not sitting in a queue.

Microsoft 365 Google Workspace VMware Citrix Microsoft Defender CrowdStrike SentinelOne Palo Alto Networks Fortinet Okta

Our Managed DevOps Services

Every piece runs inside your accounts and tools, with a named owner and service level.

Platform audit and onboarding

We map your pipelines, environments, cloud accounts, and incident history, then fix the riskiest gaps first. You get a written baseline for lead time, change failure rate, and recovery time, so progress is measured rather than claimed.

CI/CD pipeline management

Pipelines are rebuilt or extended so every change runs tests, security checks, and a repeatable deploy. We maintain them as your codebase grows, fix flaky stages, and stop build times from creeping up.

Infrastructure as code

Every environment defined in Terraform, Pulumi, or CloudFormation is reviewed like application code and rebuilt on demand. No hand-built servers that only one person understands.

Kubernetes and container operations

Cluster setup, upgrades, autoscaling, and workload tuning on EKS, AKS, GKE, or self-managed clusters. Upgrades are rehearsed in staging first, so production never gets a surprise.

Monitoring, on-call, and incident response

Alerts tuned so a page means something, dashboards your team actually opens, and on-call cover at the hours your contract sets. Each major incident gets a blameless review, with fixes tracked to closure.

Pipeline security and compliance evidence

Dependency, container image, and secrets scanning on every build, plus the access logs and change records your SOC 2 or HIPAA auditors will ask to see.

Cloud cost reviews operations

A monthly look at spend by service and environment. Rightsizing, reserved capacity, and idle resource cleanup arrive as tickets your team approves before anything changes.

Service scope and pricing models

A fixed monthly fee covers a defined scope and response targets. A setup phase plus a monthly run fee suits teams starting with little automation. Time and materials fit one-off projects. Unlike open-ended DevOps outsourcing, every contract lists what is in scope and what isn't.

The RCV Delivery Model™

One Disciplined Framework. Every Engagement.

01

Diagnose

We audit pipelines, environments, alert history, and cloud spend, and establish baselines for lead time, change failure rate, and recovery time. Every subsequent report is measured against that baseline.

02

Design & Capability Match

Service scope, on-call hours, response targets, and the assigned engineers are agreed with your platform or engineering lead and aligned with your cloud and stack.

03

Mobilize & Deliver

Fixes ship in priority order through pull requests your team can review, starting with whatever is most likely to cause the next outage.

04

Govern & Optimize

A monthly service review covers delivery metrics, incidents, spend, and open risks, with quality gates on every infrastructure change and an escalation path to a senior RCV World engineer.

05

Transition & Scale

Runbooks, diagrams, and infrastructure code stay current in your repositories so that scope can grow, shrink, or shift between RCV World and your own platform team on a planned timeline.

One Framework, Three Shapes.

Underneath every DevOps-as-a-service contract lies the RCV Delivery Model™. The shape around it depends on what your platform has to achieve, not on a fixed tier.

Model Best Fit When What You Get Buyer Proof Artifact

RCV Outcome Delivery Pods

Faster, safer releases are tied to a product goal, such as a launch date or uptime promised to customers
KPI framing, a product pod, delivery analytics, value reviews, and release telemetry
Product KPI scorecard and release-health dashboard

RCV Platform Accelerator

Several product teams need shared pipelines, templates, and an internal developer platform
Platform diagnostic, foundation sprint, golden paths, onboarding, and adoption telemetry
Platform catalog, adoption metrics, golden-path demo

RCV Governance Assurance Model

Infrastructure runs under regulators, auditors, or several vendors who all need to change evidence
Governance handbook, cadence map, RAID log, quality gates, architecture controls, transition pack
Real dashboard pack, escalation matrix, sample exit/transfer pack

Who This Is For

DevOps as a service pays off when releases depend on a single overworked person, or when no one clearly owns the pipeline.

A good fit if... A better RCV World route if…
Your developers lose hours each week to broken builds, manual deploys, or environments that drift apart

You need a one-off pipeline build with no ongoing run; CI/CD Pipeline Services handles project work

You run production workloads but can’t staff round-the-clock DevOps support services and on-call cover in-house

You want DevOps engineers inside your own team under your managers; hiring DevOps Developers fits that

You’re preparing for SOC 2, HIPAA, or a customer security review, and need evidence from your pipeline

Your main gap is reliability targets and error budgets on a mature platform; Site Reliability Engineering goes deeper there

You’re a startup or an enterprise team that wants to improve delivery metrics month over month

You’re moving to the cloud for the first time; Cloud Migration comes first, then DevOps as a service runs what lands

Multiple Industries.
One Engineering Standard.

Our DevOps engineers run pipelines and platforms in sectors where an outage or a failed audit costs real money.

HIPAA and HITRUST-compliant systems, EHR integration, and data privacy from day one.
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KYC/AML tooling, embedded finance, and payment integrations built for regulatory speed.
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Core-banking modernization, regulatory reporting, and wealth management platforms.
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POS, inventory, and commerce platforms that hold up under real peak load.
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ERP, MES, and industrial IoT integration across the entire plant floor.
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EDI, carrier integration, and real-time tracking across the supply chain.
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Grid analytics, asset optimization, and sustainability reporting systems.
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Claims automation, underwriting modernization, and audit-grade policy data.
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Precision agriculture platforms, traceability, and satellite data pipelines.
Read More

Frequently Asked Questions

Clear answers to what platform and engineering leaders ask before they hand over the pager.

DevOps as a service is a managed DevOps function you subscribe to: a team of engineers who build, run, and improve your pipelines, infrastructure, and monitoring under agreed service levels. Hiring one DevOps engineer gives you one set of skills, one holiday calendar, and no cover at 3 a.m. The service model spreads the work across engineers with depth in cloud, Kubernetes, security, and on-call, with RCV World responsible for staffing and continuity. Compared with project-based DevOps outsourcing, the work never stops at handover. If you'd rather have engineers inside your team reporting to your managers, Hiring DevOps Developers covers that route.

Three models cover most needs. A fixed monthly fee covers a defined scope, such as pipeline management, infrastructure changes, monitoring, and on-call within set hours, with response targets in the contract. A setup phase followed by a monthly run fee suits teams starting with little automation: the first weeks rebuild the foundation, then the service settles into steady operation. Time and materials is best for one-off work, such as a cluster upgrade or a pipeline migration, billed based on actual effort against an agreed cap. The scoping proposal sets the model and price, and the cost calculator provides a preliminary estimate before that call.

Five factors shape the price: how many environments and cloud accounts you run, how many services ship through the pipeline, the on-call window you need, your compliance scope, and how much automation already exists. A team with clean infrastructure as code and two environments needs less work than one with hand-built servers across three clouds. Response targets matter too, because a fast response at night takes more engineers on rotation than next-business-day cover. The scoping call turns those factors into a written scope, so the monthly cost for managed DevOps services doesn't drift after you sign.

The standard scope covers CI/CD pipelines, infrastructure as code, container and Kubernetes operations, monitoring and alerting, on-call incident response within the agreed hours, pipeline security scanning, and monthly cloud cost reviews. Outside the standard scope: building application features, fixing bugs in your product code, and managing cloud vendor billing or contracts. Large one-off projects, such as a full cloud migration, are scoped separately so they don't eat into the monthly service. The contract places every item on one side of that line or the other, because unclear scope is where disagreements start and where response times quietly slip.

Response targets are set by severity and written into the contract, so a production outage gets a faster response than a broken staging build. On-call runs during the hours you choose, from extended business hours to around the clock, staffed by a rotation of RCV World engineers who know your platform rather than a general help desk. That's the difference between DevOps support services that read a script and engineers who can fix the cause. After every major incident, you get a written review of cause, impact, and fixes, each tracked to closure. Monthly reports show response times against the target.

You own all of it: pipeline definitions, infrastructure code, and runbooks live in your repositories, and the infrastructure runs in your cloud accounts. Engineers access your systems through your identity provider with least-privilege roles, and every change goes through a pull request for your team to review. Each engineer signs an NDA before access is granted, and secrets stay in your vault, never in code or chat threads. Where SOC 2, HIPAA, or PCI DSS applies, access logs and change records are kept as audit evidence. Nothing in your environment depends on the RCV World tooling, so your platform runs the same, regardless of how the contract evolves.

Most teams reach steady service in 3 to 6 weeks, depending on how much automation already exists. Week one covers access, the platform audit, and baseline metrics. Weeks two and three fix the highest-risk gaps: failing pipelines, missing backups, and alerts nobody watches. On-call cover starts once runbooks for your critical services are written and tested, not before, because an engineer paged without a runbook is guessing. Teams starting with very little automation sit at the longer end of that range, which is the case for which the setup-plus-monthly pricing model was built.

Yes, with notice periods agreed in the contract, so adding a cloud account or extending on-call hours doesn't mean renegotiating from scratch. If you're building an in-house platform team, RCV World engineers pair with them, pass over runbooks and on-call duties in stages, and keep covering the parts you still want handled, such as night on-call or Kubernetes upgrades. Reducing scope runs as a planned handover: documentation is confirmed as current, access changes are made on a set date, and a final review of open risks is conducted. Because everything already lives in your repositories, each change is a checklist rather than a rebuild.

Show Us the Pipeline That Keeps You Up at Night

Book a scoping call with an RCV World engineer, not a salesperson. Bring your cloud setup, your release process, and the last incident that hurt. You’ll leave knowing whether DevOps-as-a-service fits your platform, which pricing model suits it, and what the first month would cover.