Accelerate Cloud Innovation with AWS Consulting Services
Updated
Turning AWS Into a Scalable AI & Cloud Foundation
Enterprises often struggle to move beyond pilots due to legacy architectures, fragmented data, and security constraints. Sthenos helps organizations unlock the full value of AWS by modernizing cloud foundations, unifying data, and embedding AI into core business workflows.
We design and deliver AWS solutions that scale in production—combining cloud modernization, data platforms, generative AI, and DevOps automation to drive faster decisions, operational efficiency, and measurable business outcomes.
Certifications and Accreditations
End-to-End AWS Services for Modern Enterprises
Cloud Migration
Data Lake & Analytics
Content Delivery & Edge Workloads
DevOps & MLOps
Generative AI & AI/ML
Security, Governance & Compliance
Driving Measurable Business Impact on AWS
AI Enablement
We move enterprise workloads to AWS with precision. From assessment to execution, Sthenos modernizes legacy environments while improving performance, strengthening security, and controlling cloud spend.
Agentic Systems
Our AWS-based agentic architectures go beyond chat. We build autonomous agents that reason, retrieve context, and act across systems—speeding execution and removing human bottlenecks.
Cloud Modernization
Modernization isn’t just moving workloads. We re-architect on AWS to improve resilience, scalability, and cost efficiency—so cloud becomes an enabler of growth, not another line item.
Security Governance
Every AWS solution we build is designed with security and governance from day one. From identity to data to workloads, we help enterprises move fast without creating compliance debt.
Scalable Platforms
We focus on long-term operability—clean architectures, automation, and guardrails that allow teams to scale confidently as demand, data, and complexity grow.
Custom AI Solutions Designed For Measurable Business Outcomes
Solving IT Challenges In Every Industry, Every Day.
Why Enterprises Partner with Sthenos for AWS Solutions
Enterprise-Grade Execution
We design and operate AWS environments built for scale, resilience, and long-term growth—supporting mission-critical workloads across complex, global enterprises.
True End-to-End Ownership
From cloud strategy and migration to AI enablement, DevOps, governance, and optimization, Sthenos owns the full AWS lifecycle—not just isolated implementations.
AWS-Native, AI-First
Our teams build natively on AWS using cloud-first architectures and AI-ready foundations, enabling intelligent systems that scale securely and perform reliably.
Outcome-Focused Delivery
Every AWS engagement is tied to clear business outcomes—lower operational overhead, faster time-to-value, improved agility, and measurable ROI.
Built for Real Adoption
We prioritize usability, change management, and operational fit, ensuring AWS solutions are embraced by teams and deliver sustained business impact.
Clients served together with our delivery partner NeoSOFT
They trust us and we keep giving them reasons to.
AWS consulting at Sthenos means designing, building and scaling secure AWS environments: modernizing cloud foundations, unifying data and embedding AI into core business workflows, with migrations run in waves and a costed roadmap before any build starts. This section defines the AWS terms that decide an engagement at AWS's own documentation, then sets out what the work covers, how it runs, what it produces, what it costs and what to ask any AWS consultancy, us included.
The typical AWS assessment band, answered in the questions on this page.
Starting with a low-risk workload to prove the landing zone and the runbook before anything critical moves.
Depending on the seniority and mix of the team, published sitewide.
We take no reseller margin on your AWS spend, so the architecture is not shaped by what it bills.
On this page
- The AWS terms that decide an engagement
- AWS cloud consulting services, by what each one builds
- How an AWS migration runs, step by step
- AWS managed services or an advisory retainer
- How much AWS consulting costs, and what moves the number
- What you get from AWS consulting
- What to ask before you hire an AWS consultant
- Related pages
The AWS terms that decide an engagement
AWS describes its own platform in its overview whitepaper: "Amazon Web Services offers a broad set of global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications: on-demand, available in seconds, with pay-as-you-go pricing." Four terms decide most of the budget and the risk when you buy AWS cloud computing services through a consultancy, and each one below is AWS's own wording, linked so you can read the source rather than take ours.
AWS names two ways to create a landing zone: "a service-based landing zone using AWS Control Tower and a customized landing zone that you build", and notes that "each option requires a different level of AWS knowledge". The shared responsibility split also moves: the same AWS page says responsibilities "vary depending on the services used", so it is read per service rather than settled once for the whole estate.
AWS cloud consulting services, by what each one builds
The six AWS services on this page fall into three groups: the foundation every later workload inherits, the data and AI work built on it, and the delivery and reach that keep it running at scale.
Figure 1. The six AWS services on this page, by what each one builds
Every box is a service card on this page, named in its own words. The grouping is for reading; nothing in the figure is counted or measured.
Each group is carried in more depth elsewhere on this site: migration on our cloud migration and optimization page, data on our big data and analytics page, AI on our artificial intelligence and machine learning page, pipelines on our DevOps services page, and security on our cybersecurity services page.
How an AWS migration runs, step by step
An AWS cloud migration is a sequence of decisions rather than one event, and the steps below are the order we work in.
- A call, then a bounded discoveryWe schedule a call at your convenience, then run a short, bounded discovery, scoped per engagement.
- Assessment and roadmapA workload inventory with dependencies and a risk rating per workload, and a costed roadmap before committing to a build.
- Landing zoneIdentity, network boundaries, logging, guardrails and the tagging standard, designed before the first workload lands.
- A low-risk workload firstTaken end to end to prove the landing zone and the runbook before anything critical moves.
- Migration in wavesEach wave with its own cutover window, its own rollback point and its own go or no-go decision.
- Optimise, then runRightsizing, reserved or savings-plan capacity for steady workloads, then a managed service or an advisory retainer.
Our AWS migration services follow the phases and the seven migration strategies set out in full on our cloud migration and optimization page, with a readiness self assessment you can run before asking anyone for a quote.
AWS managed services or an advisory retainer: which suits your team
After migration, the AWS environment is supported one of two ways, both named in the questions on this page. The difference is who runs it day to day, which is also the question to settle before comparing any AWS managed service provider.
Managed service or advisory retainer
Managed service
We run the environment- AWS monitoring
- Patching
- Cost governance
- Incident response
Advisory retainer
Your team runs it day to day- Your engineers operate the environment
- We advise on retainer
- Optimisation stays continuous rather than a project with an end
How much AWS consulting costs, and what moves the number
Two published figures frame an AWS engagement: an AWS assessment and roadmap typically runs $12,000 to $35,000, and a typical project runs $50,000 to $200,000. Migrations are priced per workload, and ongoing optimisation is a retainer.
Figure 2. The published bands, on one scale
Bar widths are proportional to the published figures. Sources: the AWS assessment band in the questions on this page, and the typical project band on our about us page. Neither is a quote for your estate.
| Driver | Why it moves the number |
|---|---|
| How many workloads are in scope | And how many of them nobody currently owns. |
| How coupled they are | A system with documented interfaces moves quickly. One where a scheduled job on a forgotten server writes to a share that three other systems read does not. |
| How much downtime the business will accept | A narrow window buys rehearsal, tooling and out of hours work. |
| How deep the modernisation goes | Moving as is, moving onto managed services and rebuilding for the platform are three different projects. |
The running bill is the other number. The recurring wins are rightsizing over-provisioned instances, buying reserved or savings-plan capacity for steady workloads, removing unattached storage, and shutting down non-production environments outside working hours.
Figure 3. The published rate band
Source: the rate published sitewide and on our about us page, depending on the seniority and mix of the team. Where the scope is clear we quote a fixed price for a defined outcome.
What you get from AWS consulting
An AWS engagement produces some or all of the following, agreed in scope before it starts. The list is the one published on our cloud consulting page, applied to AWS.
- A current-state assessment. The workload inventory, what each one depends on, where the data lives, and which items have no owner.
- A target architecture. The account structure, the network layout and the managed services chosen, with the reasons written down.
- A landing zone design. Identity, network boundaries, logging, guardrails and the tagging standard, in a form that can be built from code.
- A migration plan. Workloads grouped into waves, each with a strategy, a rollback point and a downtime window agreed in advance.
- Infrastructure as code. The environment in Terraform, Ansible or CloudFormation, in your repository, so it can be rebuilt without us.
- Runbooks and an operations model. Who is paged, what they do, and what the monitoring is actually watching.
- A phased roadmap. What happens next, in what order, with the decisions that would change it named.
What to ask before you hire an AWS consultant
Whether you hire AWS developers into your own team or compare AWS consulting companies for the whole engagement, these questions work on us and on everyone else you are considering. They come from our cloud consulting page, where the reasoning behind each one is set out.
- Do you resell the infrastructure you are recommending? If an AWS consulting company answers yes, ask how the margin is disclosed and whether the recommendation would change without it.
- Whose name is on the cloud account and the repository? Anything other than yours is a dependency you did not agree to.
- What is your estimate of our monthly run rate after the move? A vendor who will only quote the project is quoting the smaller number.
- Which workload will you move first, and why that one? A credible answer names a low risk workload and explains what it is meant to prove.
- Show me the landing zone as code. If the environment was built by hand it cannot be rebuilt, reviewed or audited the same way twice.
- Which certifications do you hold, and which are your partner's? Audited and self declared are different claims, and so are a firm's own certifications and its partner's.
- What is your own attestation status? Ask for the report rather than accepting a logo. We will tell you plainly that we hold none.
- Who operates this after go live, and under what terms? A design nobody can run is not finished.