--- title: "Cloud and DevOps Services on AWS, Azure and GCP | Arbocode" description: "We design cloud architecture in Terraform, build CI/CD pipelines, containerize workloads and prepare your team to handle incidents before they occur." url: https://arbocode.com/services/cloud-devops --- 1. [Home](https://arbocode.com/) 2. [Services](https://arbocode.com/services) 3. Cloud & DevOps Infrastructure & Automation # Cloud and DevOps Services on AWS, Azure and GCP We design cloud infrastructure as code, build CI/CD pipelines and prepare your team for incidents before they happen. [Get a free estimate](https://arbocode.com/get-a-quote?service=cloud-devops) [Speak with an engineer](https://arbocode.com/contact) NDA on request · Free, no-obligation estimate · Reply within one business day NDA signed before we start Full IP ownership on payment Your repository from the first commit Live demo at the end of every sprint Built by senior engineers [How we work](https://arbocode.com/process) Infrastructure problems tend to start the same way. A few resources clicked together in the AWS console grow into a production system nobody can fully rebuild from memory. We move that infrastructure into Terraform so every change is reviewed, versioned and repeatable across environments. On top of that we build CI/CD pipelines that replace a manual deploy checklist with a process that runs identically each time, containerize workloads where doing so earns its operational cost, and set up the monitoring and alerting that flags a problem before a customer does. Cost and incident readiness are part of the same conversation. A cloud bill that doubled without explanation and a production outage with no defined response are both symptoms of infrastructure nobody has fully mapped. We audit what's actually running, attribute cost to the services generating it, and run incident drills so your team has practiced the response before a real one happens at 2 a.m. This is infrastructure and delivery pipeline work. For the application code running on top of it, see backend development. For automating processes rather than infrastructure, see software automation. ## Problems we are usually brought in to solve - Our cloud bill doubled and nobody can explain which service caused it. - Deploys are a manual checklist and the last one took down production for an hour. - We have no idea what happens when our main region goes down. - Infrastructure changes happen by clicking around the console and nothing is written down. - Our containers work locally and fail in ways nobody can reproduce in staging. - We want to move to Kubernetes but don't know if our team actually needs it. What we deliver ## Cloud & DevOps services - ### Cloud Architecture Architecture design across AWS, Azure or Google Cloud matched to your actual traffic and reliability requirements, not a default template copied from a different company's scale. - ### Infrastructure as Code Moving infrastructure into Terraform, so changes are reviewed before they apply, environments stay consistent, and a past configuration can be reconstructed from version control instead of memory. - ### CI/CD Pipeline Design Automated build, test and deploy pipelines that replace a manual checklist, with rollback built in so a bad deploy is a quick revert rather than an incident. - ### Containerization Docker for consistent environments across development and production, and Kubernetes when the workload's scaling and orchestration needs actually justify its operational overhead. - ### Monitoring and Alerting Dashboards and alert rules tied to what actually matters to users (latency, error rate, availability), tuned to avoid the alert fatigue that makes teams start ignoring pages. - ### Cost Optimization Attributing cloud spend to the services and teams generating it, then right-sizing, reserving capacity or eliminating what's running unused, with the savings tied to specific changes. - ### Incident Response Readiness Runbooks and practiced drills for the failure scenarios most likely to hit your system, so the first time a region goes down isn't the first time anyone has thought through the response. - ### Cloud Migration Planning A staged plan for moving workloads to the cloud or between providers, sequenced to minimize downtime and validated against real traffic before a full cutover. You receive ## Deliverables - Terraform modules committed to your repository - A working CI/CD pipeline with automated rollback - Monitoring dashboards and alert rules - An incident response runbook - A cost breakdown by service with an optimization plan - Documentation of the resulting architecture How we work ## Our cloud & devops process 1. ### Infrastructure and Cost Audit We map what's actually running, how it was provisioned, and where the cloud bill is actually going before recommending any change. 2. ### Architecture and IaC Design Target architecture is designed and written as Terraform, reviewed against your reliability and compliance requirements before anything is applied. 3. ### Build Pipelines CI/CD pipelines are built to replace manual deployment steps, with automated tests gating each stage and rollback built in from the start. 4. ### Containerize and Deploy Workloads are containerized where it earns its cost, tested for parity between local, staging and production environments before going live. 5. ### Monitoring and Alerting Setup Dashboards and alerts go live tied to metrics that reflect real user impact, tuned to avoid noise that trains the team to ignore pages. 6. ### Incident Drill and Handover We run a practice incident against a realistic failure scenario and hand over runbooks and access so your team can run the response themselves. ## When Kubernetes Is Worth the Operational Cost Kubernetes solves real problems: consistent scaling, self-healing deployments, resource efficiency across many services. It also adds real operational cost: someone has to run and understand the cluster, and a small team without that experience can spend more time managing Kubernetes than the workload it's running. For a handful of services with predictable traffic, a simpler container platform or even direct virtual machine deployment often gets the same reliability with less overhead. We recommend Kubernetes when the number of services, the scaling pattern or the deployment frequency actually justifies it, and say so plainly when it doesn't. ## Terraform for Infrastructure That Used to Live in the Console Infrastructure managed by clicking around a cloud console has no history: nobody can say with confidence what changed last month or reconstruct the exact configuration if a resource gets deleted by accident. Moving it into Terraform makes every change a reviewed, versioned commit, and makes the current state something you can read in a file instead of reconstructing from memory. The migration itself has to happen carefully: we import existing resources into Terraform's state rather than recreating them, so the move doesn't cause the very downtime it's meant to prevent. - Existing resources imported into Terraform state, not recreated - Changes reviewed as code before they apply - Environments kept consistent through the same modules - Full configuration history in version control ## Reading a Cloud Bill Before Optimizing It Cost optimization done before cost attribution usually just cuts the easiest thing to find, which isn't always the thing actually driving the bill. We attribute spend to the specific services, teams or features generating it first, using tagging and billing reports, so the optimization work targets the actual cause. From there, the fixes are usually some mix of right-sizing over-provisioned instances, reserving capacity for predictable baseline load, and shutting down what's running unused, each with a savings figure attached to the specific change. Technology ## Technologies we use - [AWS](https://arbocode.com/technologies/aws) - [Microsoft Azure](https://arbocode.com/technologies/azure) - [Google Cloud](https://arbocode.com/technologies/google-cloud) - [Docker](https://arbocode.com/technologies/docker) - [Kubernetes](https://arbocode.com/technologies/kubernetes) Industries ## Cloud & DevOps by industry - [Fintech & BankingFinancial software with KYC/AML checks and PCI DSS-aligned payment flows designed in from the schema onward, with ledgers that reconcile to the cent.](https://arbocode.com/industries/fintech) - [HealthcareClinical and patient-facing software that meets HIPAA technical safeguards and connects to the EHR your care teams already work in.](https://arbocode.com/industries/healthcare) - [Logistics & Supply ChainFreight, warehouse and fleet software that handles EDI 204/214/210 with your trading partners and holds up accurately in the field.](https://arbocode.com/industries/logistics) - [Media & EntertainmentStreaming, subscription and rights management software organized around DRM licensing and content availability by territory.](https://arbocode.com/industries/media-entertainment) - [ManufacturingShop floor, ERP and traceability software linking PLC data to the systems your planners and OEM customers rely on.](https://arbocode.com/industries/manufacturing) Solutions ## Systems we build with this service - [Cloud MigrationPlanned waves of moving existing workloads to the cloud, with a migration strategy picked for each workload and no single approach forced on everything.](https://arbocode.com/solutions/cloud-migration) - [System IntegrationConnecting the CRM, ERP, billing and internal systems you already run, so data moves between them with nobody copying it by hand.](https://arbocode.com/solutions/system-integration) - [Internal Tools & Admin DashboardsBack-office software where your team can look up, edit and act on production data safely, replacing the spreadsheet or the direct database query.](https://arbocode.com/solutions/internal-tools) - [BI & Reporting DashboardsReporting on a single data model in place of five spreadsheets, with dashboards that stay quick against years of history.](https://arbocode.com/solutions/bi-dashboards) Budget ## What drives cost and timeline - ### Number of environments and regions A single-region setup with one staging environment is a smaller project than a multi-region architecture built for regional failover. - ### Current infrastructure maturity Infrastructure already partly managed as code migrates faster than infrastructure that exists only as manual console configuration nobody has documented. - ### Container and orchestration complexity A handful of stateless services on Docker is simpler than a Kubernetes cluster running stateful workloads with custom autoscaling rules. - ### Compliance logging requirements Regulated workloads that need a verifiable audit trail of every infrastructure change add design and tooling work beyond a standard setup. - ### Expected traffic and scaling needs Provisioning for steady, predictable load is a different design problem than provisioning for large, unpredictable traffic spikes. [Get a free estimate](https://arbocode.com/get-a-quote?service=cloud-devops&src=pricing%5Fblock) [See engagement models](https://arbocode.com/pricing) Compliance ## Standards we design and build to None of these is a certification or attestation held by this agency. They are the standards we design and build client systems to, so your own audit or assessment starts from a sound base. - ### GDPR / UK GDPR Personal data handled on a lawful basis, with data minimisation and a documented retention policy. - ### HIPAA safeguards Administrative, physical and technical safeguards applied where a system touches protected health information. - ### PCI DSS scope reduction Card payment flows tokenised through a certified processor so cardholder data never touches your systems. - ### SOC 2 readiness Access control, change management and audit logging built in from day one, ready for a client's own SOC 2 audit. - ### WCAG 2.2 AA Keyboard navigation, colour contrast and screen-reader labelling checked against the AA success criteria. - ### OWASP ASVS Authentication, session handling and input validation reviewed against the Application Security Verification Standard. We list certifications only when they are real and current. [See our security practices →](https://arbocode.com/security) FAQ ## Questions about Cloud & DevOps How do you know if we actually need Kubernetes or if it's overkill for our traffic? We look at the number of services, how often you deploy, and how variable your traffic actually is. A small number of services with predictable load usually doesn't need Kubernetes's operational overhead. If the answer is no, we'll say so and recommend a simpler container setup instead. Can you migrate our infrastructure to Terraform without downtime? Yes, by importing your existing resources into Terraform's state instead of recreating them. The infrastructure keeps running exactly as it is; what changes is that future modifications go through reviewed, versioned code instead of manual console changes. Why did our cloud bill double and how do you find out which service caused it? We attribute spend to specific services and teams using tagging and billing reports before recommending any cuts. A doubled bill is usually one or two specific causes, such as an over-provisioned database or an unused resource left running, not a broad, even increase across everything. What does an incident readiness review actually involve? We identify the failure scenarios most likely to hit your specific system, such as a region outage or a database failover, write or update the runbook for each, and run a practice drill against one of them. The goal is that your team has rehearsed the response before a real incident, not just read about it. Do you work with Azure and GCP or only AWS? All three. The right choice often depends on what you're already using, existing vendor relationships or specific services you need, and we design the architecture and Terraform modules for whichever provider fits your situation. Can you set up CI/CD if we currently deploy by hand? Yes. We build a pipeline that automates the same build, test and deploy steps your manual checklist currently covers, with automated rollback if a deploy fails. Most teams see this as the highest-impact early change, since it removes both the manual error risk and the time cost of a manual release. Related ## Related services - [Backend DevelopmentWe build the server-side systems beneath your product, including data models, business logic, queues and the infrastructure that keeps them fast under load.](https://arbocode.com/services/backend-development) - [API DevelopmentWe design, build, document and version REST and GraphQL APIs so partners can integrate without asking your engineers for help.](https://arbocode.com/services/api-development) - [Software AutomationWe build the RPA bots, scheduled jobs, data pipelines and test suites that take over manual, error-prone engineering work.](https://arbocode.com/services/software-automation) - [Software Maintenance & SupportInherited codebases, security patches and dependency upgrades handled by a team that keeps production running under a defined support SLA.](https://arbocode.com/services/software-maintenance) - [Custom Software DevelopmentWe build software around the processes your business already runs on, so operations no longer depend on spreadsheets, workarounds and tools never built for your workflow.](https://arbocode.com/services/custom-software-development) ## Price your cloud & devops project Send a short description of the project. A senior engineer reads each request and answers with questions, next steps and an early budget range. [Get a free estimate](https://arbocode.com/get-a-quote?service=cloud-devops) [Speak with an engineer](https://arbocode.com/contact)