Cloud Foundations and Delivery Automation

Cloud Setup and Automation Services
Build Cloud Foundations Your Team Can Deploy, Monitor, and Control

Devlyn sets up and automates cloud environments for SaaS products, web applications, AI systems, internal platforms, APIs, and data-backed workflows that need reliable delivery without cloud sprawl. We help CTOs, engineering leaders, and engineering teams move from manual deployments, unclear access, fragile environments, hidden costs, and poor observability to cloud accounts, infrastructure as code, CI/CD pipelines, environment strategy, IAM, secrets, networking, containers, serverless, databases, storage, monitoring, backups, cost controls, release documentation, and runbooks your team can operate.

Scope cloud setup See cloud scope

Infrastructure as code

Terraform, modules, drift

CI/CD automation

Build, test, deploy

Cloud operations

Logs, backups, cost

Cloud setup becomes expensive when every decision is made manually

A cloud account can host an app quickly. A cloud operating model takes more care: identity, networking, environments, deployment, secrets, monitoring, backups, cost attribution, and ownership need to be designed before the product depends on them.

What breaks

Production was created by hand, so nobody can reproduce it, review changes, roll back safely, or explain why resources exist.

Development, staging, and production drift because environment variables, secrets, databases, storage, queues, domains, and permissions are managed inconsistently.

Deployments depend on one person laptop or memory, which creates release anxiety, failed migrations, missing checks, and unclear rollback paths.

Cloud costs rise without attribution because accounts, projects, tags, budgets, alerts, logs, AI usage, storage, and idle resources are not organized.

Incidents are hard to diagnose because logs, metrics, traces, dashboards, alert routing, backups, runbooks, and ownership were added after users already depended on the system.

How Devlyn reduces risk

We define the cloud operating model first: accounts, environments, IAM, networking, deployment flow, data stores, observability, backups, cost controls, and ownership.

We codify infrastructure with Terraform or the right IaC approach so cloud resources can be reviewed, versioned, repeated, and changed with less manual drift.

We build CI/CD pipelines that test, build, migrate, deploy, tag releases, protect production, and document rollback behavior.

We add monitoring, logging, error reporting, uptime checks, backup checks, cost alerts, and runbooks so the system can be operated after launch.

We hand over source-controlled infrastructure, pipeline documentation, environment maps, access notes, operational runbooks, and a roadmap for future cloud maturity.

What we deliver in cloud setup and automation

The service covers the cloud foundation and automation work needed to deploy and operate software without relying on manual, undocumented steps.

01

Cloud account and environment setup

Design AWS, Azure, Google Cloud, Vercel, or hybrid account structure, projects, environments, regions, naming, tagging, budgets, access, and ownership.

02

Infrastructure as code

Create Terraform, Pulumi, CDK, CloudFormation, or provider-native IaC for networks, compute, databases, storage, queues, secrets, policies, and observability.

03

CI/CD and release automation

Build pipelines for linting, tests, builds, migrations, previews, staging deploys, production approvals, release tagging, rollback notes, and deployment auditability.

04

Security, IAM, and secrets

Set up least-privilege roles, service accounts, secrets management, environment isolation, key rotation paths, audit logs, access review, and deployment permissions.

05

Observability and reliability basics

Add logs, metrics, traces, dashboards, alerts, uptime checks, error reporting, backup checks, queue visibility, incident notes, and recovery runbooks.

06

Cost control and operations handoff

Implement resource tagging, cost dashboards, budgets, alerts, cleanup rules, utilization review, runbooks, documentation, and cloud maturity recommendations.

Cloud automation capabilities we can build

Cloud setup should match the product stage, risk profile, traffic pattern, team capacity, compliance needs, and roadmap. These are common capabilities we design and implement.

SaaS cloud foundations

SaaS cloud foundations

Set up tenant-aware environments, databases, storage, queues, billing webhooks, admin tools, observability, backups, and cost attribution for SaaS products.

Web app deployment automation

Web app deployment automation

Automate build, preview, staging, production, migrations, CDN, domains, certificates, cache invalidation, environment variables, and release notes.

Container and Kubernetes setup

Container and Kubernetes setup

Configure Docker, registries, Kubernetes, workloads, ingress, autoscaling, secrets, health checks, observability, and deployment strategies where needed.

Serverless and managed cloud setup

Serverless and managed cloud setup

Use functions, queues, managed databases, object storage, event triggers, schedulers, and provider services when simpler operations fit the workload.

AI workload infrastructure

AI workload infrastructure

Set up environments for AI APIs, retrieval systems, vector databases, job queues, cost tracking, model provider secrets, observability, and safe rollout controls.

Cloud rescue and modernization

Cloud rescue and modernization

Repair manually configured accounts, broken CI/CD, unclear IAM, missing monitoring, uncontrolled costs, drifted environments, and undocumented deployments.

Cloud foundations should be designed for operations from the start

AWS Well-Architected guidance emphasizes designing, delivering, and maintaining workloads with operational best practices. We turn that principle into practical cloud foundations for product teams.

Account and project structure

Organize accounts, projects, subscriptions, regions, environments, naming, tags, budgets, billing ownership, and administrative access.

Networking and boundaries

Design VPCs, subnets, security groups, firewalls, private connectivity, load balancers, DNS, certificates, ingress, egress, and environment separation.

Identity and access management

Set roles, policies, groups, service accounts, deployment identities, break-glass access, audit logs, access reviews, and least-privilege patterns.

Data services and backups

Provision databases, caches, storage, queues, search, backup policy, restore testing notes, retention, encryption, and data-access boundaries.

Runtime and compute strategy

Choose containers, serverless, managed platforms, virtual machines, app platforms, schedulers, workers, and autoscaling based on workload needs.

Operations ownership

Define who owns deployments, incidents, access, cost, backups, alerts, provider changes, dependency updates, and runbook maintenance.

Automation makes cloud change reviewable and repeatable

Terraform describes infrastructure in configuration files that can be versioned, reused, and shared. We use infrastructure as code and CI/CD automation to make cloud changes visible before they affect production.

Infrastructure as code modules

Create reusable modules for networks, compute, databases, queues, storage, IAM, monitoring, domains, and environment-specific settings.

Build and deploy pipelines

Automate install, lint, test, build, security checks, image creation, migrations, staging deploys, approvals, production deploys, and release tagging.

Secrets and configuration

Separate secrets from code, centralize provider secrets, manage environment variables, define rotation paths, and reduce credential sharing.

Policy and guardrails

Add branch protections, deployment approvals, environment locks, IaC review, policy checks, cost warnings, and protected production workflows.

Rollback and recovery paths

Document rollback decisions, migration risks, feature flags, backup restore notes, deployment history, and how to reverse unsafe changes.

Automation documentation

Document pipeline behavior, environment setup, cloud resources, release steps, common failure modes, and who approves or owns each action.

Observability, cost, and recovery are part of the setup

OpenTelemetry defines telemetry signals such as traces, metrics, and logs. We design observability around the questions your team must answer when releases, users, integrations, jobs, or infrastructure behave unexpectedly.

Logs, metrics, and traces

Logs, metrics, and traces

Collect application logs, infrastructure metrics, traces, job status, request context, release versions, dependency calls, and error classes.

Alerts and dashboards

Alerts and dashboards

Create dashboards and alerts for uptime, errors, latency, queue depth, failed jobs, resource saturation, database health, and business-critical workflows.

Backup and restore readiness

Backup and restore readiness

Set backup schedules, retention, restore notes, storage lifecycle, database snapshots, object storage protection, and disaster recovery assumptions.

Cost controls

Cost controls

Add tags, budgets, alerts, usage dashboards, idle resource review, storage lifecycle rules, AI cost attribution, and provider-level spend visibility.

Incident readiness

Incident readiness

Define severity, escalation, runbooks, dashboards, rollback notes, access needs, communication paths, and post-incident improvement backlog.

Operational handoff

Operational handoff

Document how to deploy, monitor, scale, rotate secrets, restore backups, investigate failures, control cost, and request cloud changes.

Cloud platforms and automation tools

We choose tools based on your application architecture, team skill, compliance needs, release process, operational capacity, AI usage, data profile, and provider preferences.

AWS

AWS

Azure

Azure

Google Cloud

Google Cloud

Vercel

Vercel

Laravel Cloud

Cloudflare

DigitalOcean

DigitalOcean

managed databases

object storage

queues

serverless

app platforms

Terraform

Terraform

OpenTofu

Pulumi

Pulumi

AWS CDK

CloudFormation

CloudFormation

Bicep

provider modules

remote state

environments

plans

reviews

drift checks

GitHub Actions

GitHub Actions

GitLab CI

Bitbucket Pipelines

Bitbucket Pipelines

Docker registries

Docker registries

preview deploys

staging gates

production approvals

release tags

rollback notes

Docker

Docker

Kubernetes

Kubernetes

ECS

ECS

Cloud Run

App Service

Lambda

Lambda

queues

workers

schedulers

ingress

autoscaling

health checks

service discovery

IAM

service accounts

secrets managers

KMS

WAF

SSO

SSO

audit logs

access review

branch protection

policy checks

dependency scanning

OpenTelemetry

OpenTelemetry

Datadog

Datadog

New Relic

New Relic

Grafana

Grafana

Prometheus

Prometheus

Sentry

Sentry

CloudWatch

Cloud Logging

dashboards

budgets

cost alerts

utilization reports

How the cloud setup and automation engagement runs

We move from current-state review to designed cloud foundations, then codify and hand over the system so the team can keep shipping safely.

We review accounts, environments, deployments, access, costs, security, domains, databases, logs, backups, incidents, and product requirements.
Assess current cloud and delivery state
We define provider architecture, environments, IAM, networking, runtime, data services, deployment process, observability, backups, and ownership.
Design the cloud operating model
We create IaC, modules, environment configs, secrets strategy, resource tags, state management, documentation, and reviewable change workflow.
Codify infrastructure and configuration
We implement CI/CD, tests, builds, deploys, approvals, release tags, rollback notes, policy checks, cost alerts, and protected production paths.
Build automation and guardrails
We set up logs, metrics, traces, dashboards, alerts, backup checks, restore notes, incident paths, and operating runbooks.
Add observability and recovery readiness
We walk through deployments, cloud resources, costs, alerts, failure modes, runbooks, ownership, and the next maturity improvements.
Handover and improve

Cloud setup and automation engagement models

Scoped options for buyers comparing cloud setup services, DevOps automation, infrastructure as code, CI/CD setup, cloud rescue, and cloud operations support.

Assess

Cloud Readiness and Architecture Plan

Best when cloud accounts, environments, deployment, access, or cost need a clear plan

Scoped

after discovery

Current-state review

Cloud design

Risk map

Automation roadmap

Talk to Sales
Most Popular

Build

Cloud Foundation and Automation Setup

Best for setting up environments, IaC, CI/CD, observability, backups, and runbooks

Scoped

after discovery

Cloud foundation

Infrastructure as code

CI/CD

Operational handoff

Talk to Sales

Improve

Cloud Operations and Automation Support

Best for live systems needing deployment improvement, observability, cost control, or cloud maturity

Scoped

after discovery

Pipeline improvement

Observability

Cost controls

Runbook support

Talk to Sales

Who this service is for

Cloud setup and automation is the right service when software delivery depends on cloud infrastructure that must be reproducible, observable, secure, and cost-aware.

01

Teams launching a product

You need a cloud foundation, deployment pipeline, monitoring, backups, and cost controls before early users depend on the product.

02

CTOs formalizing cloud operations

You need to replace manual cloud changes with IaC, access controls, CI/CD, environment discipline, observability, and runbooks.

03

SaaS teams scaling infrastructure

You need tenant-aware environments, billing webhooks, queues, storage, observability, data backups, and cost attribution by account or workload.

04

Teams recovering messy cloud accounts

You need to understand existing resources, repair deployment flow, organize access, remove drift, control costs, and document ownership.

Make your cloud foundation easier to deploy, observe, and own

Share your current cloud setup, product architecture, deployment pain, cost concerns, security needs, and launch goals. We will help you scope the right cloud setup, automation, cleanup, or operations path.

Scope cloud setup View DevOps consulting

hello@devlyn.ai

Cloud foundations

IaC and CI/CD

Observability

Cost controls

Frequently Asked Questions

Direct answers for buyers comparing cloud setup services, cloud automation, infrastructure as code, DevOps automation, CI/CD setup, AWS setup, Azure setup, Google Cloud setup, and cloud operations support.

They can include cloud account setup, environments, IAM, networking, infrastructure as code, CI/CD, containers, serverless, databases, storage, secrets, monitoring, backups, cost controls, runbooks, and handoff.

We can work with AWS, Azure, Google Cloud, Vercel, Cloudflare, Laravel Cloud, DigitalOcean, managed databases, and hybrid setups depending on the product and team needs.

Yes. We can use Terraform, OpenTofu, Pulumi, AWS CDK, CloudFormation, Bicep, or provider-native configuration when it fits the operating model.

Yes. We can build pipelines for tests, builds, previews, staging deploys, production approvals, migrations, release tagging, rollback notes, and deployment auditability.

Yes. We can audit accounts, resources, access, costs, environments, deployment flow, secrets, monitoring, backups, and documentation, then create and execute a cleanup plan.

Yes. We can set up tenant-aware environments, databases, storage, queues, billing webhooks, admin tools, observability, backups, cost attribution, and release automation.

Yes. We can set up infrastructure for AI APIs, retrieval workflows, vector stores, queues, provider secrets, cost tracking, observability, evaluation jobs, and safe rollout paths.

We design IAM, service accounts, secrets, environment isolation, encryption, audit logs, deployment permissions, access review, protected production paths, and least-privilege patterns.

Yes. We can set up logs, metrics, traces, dashboards, alerts, uptime checks, error reporting, release tags, queue monitoring, backup checks, and incident notes.

Yes. We can add tagging, budgets, alerts, cost dashboards, idle resource review, storage lifecycle rules, AI cost attribution, and utilization recommendations.

Yes, when Kubernetes is justified. We can also recommend simpler managed or serverless options when they better fit the product and team capacity.

Yes. Handover can include architecture notes, environment map, IaC instructions, deployment process, access model, backup notes, runbooks, cost controls, and ownership guidance.

Useful inputs include cloud access, repository access, architecture notes, current deployment process, environment details, domains, integrations, cost concerns, security needs, and release goals.

Yes. Support can include automation improvements, CI/CD updates, cost review, monitoring changes, incident readiness, scaling work, security review, and cloud maturity planning.