WORKFLOX Services
Cloud Infrastructure That Scales Automatically
Zero Downtime Deployments & Iron-Clad Security
We build and manage enterprise-grade cloud environments that scale with your traffic, deploy code securely, and protect your data from vulnerabilities.
The Challenge
Why Infrastructure Fails
- βManual deployments causing production downtime
- βOver-provisioned servers wasting thousands of dollars monthly
- βSecurity vulnerabilities left unpatched
- βNo disaster recovery or automated backup strategy
- βInability to handle sudden traffic spikes
Our Approach
How We Build the Cloud
- βAutomated CI/CD pipelines for zero-downtime releases
- βAuto-scaling architectures that adjust to traffic
- βInfrastructure as Code (IaC) using Terraform
- βComplete security auditing and compliance
- βAutomated daily backups with instant recovery
Use Cases
What We Build For You
Cloud Migration
Smoothly moving legacy applications to modern AWS/Azure environments.
CI/CD Implementation
Automating your deployment pipeline for faster, safer releases.
Infrastructure Audit
Finding security flaws and reducing your monthly cloud costs.
Kubernetes & Container Orchestration
Migrating monolithic deployments to containerized, auto-scaling services that handle traffic spikes without manual intervention.
Multi-Region & Disaster Recovery Setup
Architecting infrastructure across multiple regions with automated failover, so a single data center outage doesn't take your product down.
Compliance-Ready Infrastructure
Building SOC 2, HIPAA, or PDPL-aligned cloud environments with the logging, access control, and encryption regulated industries require.
Our Process
Step-by-Step Development Process
01
Infrastructure Audit
We analyze your current setup for security, cost, and scalability issues.
02
Architecture Design
We design a modern, scalable cloud environment.
03
Implementation & Migration
We build the CI/CD pipelines and migrate your data with zero downtime.
04
Monitoring & Alerting Setup
We implement observability tooling so your team knows about problems before customers do.
05
Handoff & Ongoing Support
We document the infrastructure and offer SLA-backed ongoing support, or a full handoff to your internal team.
Technology
Our Stack
A typical devops & cloud infrastructure project here uses AWS, Azure, Google Cloud and Docker. We confirm the final choices with you at scoping, based on the systems you already run and the constraints you have.
FAQ
Frequently Asked Questions
Do you manage our infrastructure long-term?
Yes, we offer ongoing DevOps support and SLA-backed monitoring.
Can you help reduce our AWS bill?
Yes, our infrastructure audits often identify 30-50% cost savings through right-sizing and reserved instances.
Can you migrate us from a single server to a scalable cloud setup without downtime?
Yes. We run migrations in parallel with your existing production environment and cut over with zero or near-zero downtime, with a tested rollback plan in case anything goes wrong.
Do you work with infrastructure we already have, or only greenfield builds?
Both. Most of our DevOps engagements start with an existing AWS, Azure, or GCP setup that needs hardening, cost optimization, or CI/CD automation. We rarely start from a truly blank slate.
How much does a DevOps and cloud infrastructure engagement cost?
A focused infrastructure audit and CI/CD setup typically costs $3,000-$7,500. Full cloud migration with multi-region architecture and compliance hardening typically ranges $10,000-$28,000 depending on the complexity of the existing system.
Do you provide DevOps consulting services for US companies?
Yes, in AWS, Azure and GCP US regions with engineers working EST and PST hours. Engagements build infrastructure as code, CI/CD with automated testing, secrets management and monitoring to the standard a SOC 2 assessment or enterprise security questionnaire requires, starting from an audit of what is actually deployed and how.
What does a cloud migration engagement include?
A workload-by-workload cost model comparing current spend with the projected cloud bill, a plan that lifts what must move now and modernises what pays back within a year, a rehearsed cutover with the old system kept live until the new one is verified, data validation and reconciliation, and a documented rollback. You own the cloud accounts throughout.
Do you set up CI/CD pipelines and infrastructure as code?
Yes. Terraform or Pulumi for reproducible environments, GitHub Actions or GitLab pipelines with tests, security scanning and builds on every pull request, automated staging deploys and approved production deploys with migrations handled as a step, managed secrets, and one-click rollback. We start with an audit of how you deploy today, because the undocumented manual step is usually the one behind the last outage.
DevOps & Cloud Infrastructure for Startups and Enterprises in the USA & GCC
WORKFLOX builds cloud infrastructure that scales without babysitting: automated deployments, auto-scaling architecture, and monitoring that catches problems before your customers do. We work with teams that already have infrastructure needing hardening as often as we build new environments from scratch.
Infrastructure Audits That Actually Cut Cloud Spend
Most cloud bills are inflated by over-provisioned resources nobody has revisited since launch. Our infrastructure audits typically identify 30-50% in savings through right-sizing instances, reserved capacity planning, and eliminating orphaned resources, often paying for the audit itself within the first month.
DevOps Consulting Services in the USA
DevOps consulting services for US companies are shaped by two things: the enterprise security review that B2B products face before a contract, and the cost of US engineering time, which makes automation of the deployment path pay back fast. Our engagements build the pipeline, infrastructure as code, CI/CD with automated testing, environment parity, secrets management, monitoring and alerting, to the standard a SOC 2 assessment or an enterprise questionnaire asks for, in AWS, Azure or GCP US regions, with engineers working EST and PST hours. We start with an audit of what is deployed and how, because the highest-value change is usually the manual step nobody has written down. Our cloud migration provider guide covers the migration side of the same work.
Cloud Application Development: Built for the Platform, Not Ported to It
Cloud application development means designing for managed and elastic services from the start, managed databases, containers behind a load balancer, serverless for intermittent work, object storage, queues, rather than building a server-shaped application and renting a server for it. The difference shows up in the monthly bill and in what happens under load. We build cloud applications on Next.js, Node.js and Python with infrastructure as code, so the estate is reproducible and the deployment path is automated from the first release. For applications that also need a data platform, the data modernization work runs alongside; for the front-end and product side, our web application development practice covers the build.
Cloud Migration Services: Lift-and-Shift, Modernise, or Both
Cloud migration services range from recreating your servers on rented virtual machines to re-architecting onto managed and serverless services, and the difference shows up on every monthly bill afterwards. Lift-and-shift is fast and low-risk and frequently costs more to run than what you left, because always-on machines sized for peak are the most expensive way to use a cloud. Modernisation, managed databases, containers behind a load balancer, serverless for intermittent work, object storage for files, costs more upfront and less every month. Most honest migrations mix the two: lift what must move now, modernise what pays back within a year. Our engagements start with a cost model comparing your current spend with the projected bill under the plan, workload by workload, and a cutover plan with a rehearsal, a data-sync approach that keeps the old system live until the new one is verified, and a documented way back. Our cloud migration provider guide sets out the questions that separate a migration partner from a lift-and-shift vendor, and our data engineering practice runs the warehouse modernisation that usually travels with it.
CI/CD and Infrastructure as Code: What We Actually Set Up
The deployment path is where engineering time leaks, and automating it is the DevOps work with the fastest payback. What we set up: infrastructure defined in Terraform or Pulumi so every environment is reproducible from the repository; a CI pipeline in GitHub Actions or GitLab that runs tests, linting, security scanning and a build on every pull request; a CD path that deploys to staging automatically and to production behind an approval, with database migrations handled as a first-class step; environment parity so a bug reproduces locally; secrets in a managed vault rather than in environment files; and rollback that is a button, not a plan. For containerised workloads we run Kubernetes where the scale justifies it and managed container services where it does not, because a Kubernetes cluster for three services is an operational cost with no return. The audit that precedes this is the most valuable hour of the engagement: the manual step nobody wrote down is usually the one that caused the last outage.
Observability, Cost Control and the Runbook Nobody Has
A cloud estate without observability is diagnosed by customers. We instrument the three pillars, metrics, logs and traces, with Prometheus and Grafana, Datadog or the cloud provider's native tooling, alert on symptoms users would notice rather than on every threshold, and write the runbook for each alert so the person on call at 3am has a procedure rather than a search. Cost control is part of the same work: tagging by team and service so the bill is attributable, rightsizing from actual utilisation, auto-scaling and scheduled shutdown for non-production environments, reserved capacity where usage is predictable, and a monthly review that treats the bill as an engineering metric. For clients under SOC 2, HIPAA or PDPL the same instrumentation produces the audit evidence, access logs, change history, encryption status, that the assessment asks for. Our infrastructure audit engagements typically recover 20 to 40 percent of monthly cloud spend, which is usually more than the engagement costs.
Kubernetes or Not: Matching the Platform to the Team
Kubernetes is the right platform for a company running many services with a team that can operate it, and an expensive mistake for a company running three services with a team that cannot. We decide on evidence rather than fashion. Managed container services, ECS, Cloud Run, Azure Container Apps, give most products horizontal scaling, rolling deploys and health checks with a fraction of the operational surface. Kubernetes earns its place when workloads are numerous and heterogeneous, when portability across clouds is a real requirement rather than a slide, or when the team already has the skills. Serverless functions fit intermittent and event-driven work and cost nothing idle, and are a poor fit for long-running or latency-sensitive services. Whichever platform, the deployment path, observability and cost controls described above apply. We have migrated clients onto Kubernetes and off it, and our cloud migration guide sets out how to evaluate the recommendation a provider gives you. Teams building cloud-native backends often pair this work with our Golang developers for services and tooling.
Markets We Serve
Localized Expertise Across High-Value Regions
Industries We Serve
Industry-Specific Expertise
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