Why Hire an AWS Consulting Partner? A Practical Guide to Strategy, Migration, Security and Cost
AWS has emerged as a fundamental technology platform for enterprises requiring scalable infrastructure, next generation application development and data platforms, analytics, AI and disaster recovery. However, relocating workloads to AWS is not enough to create a successful cloud environment, and that’s why you need an AWS consulting partner. Typically, the problem that is the difference between running servers on AWS and using AWS as a business platform is about architecture, governance, security, cost management, operational maturity and the knowledge that is there to make the right decisions.
These figures are proof of just how big that chasm can be. McKinsey’s research on cloud value in 2023 showed that only 10 percent of companies have reached full value capture from cloud, 50 percent are beginning to capture cloud value, and 40 percent have captured no material value from cloud. For most organizations, the main challenge in cloud computing isn’t a lack of cloud infrastructure, it’s an excess of it. They lack the planning, architecture and operating expertise required to get results from infrastructure.
An expert AWS consulting partner closes this gap by performing an audit of the current infrastructure, designing an AWS architecture that is suitable for the organization, migrating workloads to the cloud, enhancing security, managing cloud costs, modernizing applications, and ongoing monitoring and optimization of the cloud environment after migration. The right partner is an extension of your technology team, who know how to link cloud architecture choices to business goals, security needs, application performance, financial management and long-term growth.
What Is an AWS Consulting Partner?
An AWS consulting partner is a professional services organization that assists organizations to evaluate, design, move, secure, run and optimize workloads on AWS. The partner maps out the architecture, security, cost management and operations to the business goals, ensuring that the AWS environment continues to run once migrated rather than becoming a standalone of services. According to AWS, its services partners are the organizations that help its customers visualize, design, architect, build, migrate, test, secure, manage and optimize their workloads on AWS.
These partners may be system integrators, consultancies, managed service providers, value-added resellers and special service companies. AWS also identifies partner capabilities through AWS Competency Program, which is a way to vouch for partners who leverage AWS technology to solve for complex industry and use-case problems. A consulting partner can then be engaged before a migration starts, while a workload is in-transit and when workloads are deployed to production. It’s all important that this lifecycle view is considered because the adoption of cloud is not a single infrastructure initiative.
Discovery and assessment is the first phase of a typical engagement in which the consulting team analyzes current infrastructure, applications, databases, network dependencies, security controls, operational processes, and compliance requirements and business priorities. Afterwards, architecture design and migration planning come into play, and when the migration strategy is agreed, the partner assists in implementation, testing, migration execution, monitoring, security, cost and ongoing optimisation. Business value lies in linking these activities, not seeing them as discrete ‘technical’ pieces of work. It is important to understand the difference in focus of the different partner types AWS has.
| Partner Type | Primary Focus | Typical Engagement |
|---|---|---|
| System integrator | Large, multi-system programs | Enterprise migration and integration across many applications |
| Consultancy | Strategy, assessment and architecture | Cloud roadmap, architecture design and Well-Architected reviews |
| Managed service provider | Ongoing operations | Monitoring, incident response, patching and cost management |
| Value-added reseller | Licensing and procurement | AWS billing, marketplace purchases and bundled services |
| Specialized service firm | One domain such as security, data or DevOps | Focused projects within a defined technical area |
Why Hire an AWS Consulting Partner Instead of Going It Alone?
A business can create an AWS account and deploy workloads without outside help, since AWS provides extensive documentation, training, architecture guidance and managed services. The useful question is not whether an organization can use AWS independently. It is whether the organization has the skills, time, processes, governance and operational maturity to design and run AWS well for its particular workloads.
AWS environments grow complex quickly. Even a modest environment can involve Amazon EC2, Amazon S3, Amazon RDS, Amazon VPC, AWS Identity and Access Management, Amazon CloudWatch, Elastic Load Balancing, Amazon Route 53, AWS Backup, AWS WAF, AWS CloudTrail, containers, serverless components and third-party applications spread across multiple accounts. Each service is manageable on its own, while the relationships between them become harder to reason about as the environment grows.
Consider an organization migrating a customer-facing application. It has to account for application dependencies, database compatibility, network architecture, identity management, encryption, backup and recovery, high availability, monitoring, deployment processes, data transfer, DNS, disaster recovery, compliance and cost controls, and a decision in one area usually affects several others. An AWS consulting partner brings structured experience to those connected decisions.
The AWS Well-Architected Framework itself recommends drawing on guidance from AWS or an appropriate partner when organizations need help with architecture decisions. Consulting is valuable not because AWS is impossible to understand, but because experienced guidance reduces avoidable architectural, operational, security and financial mistakes.
AWS Consulting Is More Than Cloud Migration
One common misconception is that an AWS consulting partner is simply a migration vendor. Migration is an important service, but it is only one part of a mature AWS strategy.
A business may first hire a partner to move workloads from an on-premises data center to AWS. Once the migration is complete, the organization still has to operate the environment, which means monitoring, security, backup, identity management, cost controls, patching, incident response, performance management, governance and continuous improvement.
The difference becomes clear with a basic lift-and-shift migration. Rehosting moves workloads quickly, but reproducing an old infrastructure model in the cloud can leave modernization and cost opportunities untouched. AWS guidance treats cost optimization as an ongoing discipline covering financial management, usage awareness, resource efficiency, demand and supply management and continuous review. A consulting partner helps decide where lift-and-shift makes sense, where workloads should be replatformed, where applications should be refactored and where workloads should be retired or replaced. For a broader view of migration approaches across platforms, see our complete guide to cloud migration services.
The table below shows how a partner’s role changes across the lifecycle of an AWS program.
| Lifecycle Phase | What the Partner Does | What the Business Gets |
|---|---|---|
| Before migration | Discovery, dependency mapping, business case and target architecture | A realistic plan with known risks and costs |
| During migration | Wave planning, execution, testing and cutover support | Workloads moved with controlled downtime |
| After migration | Monitoring, security, cost reviews and incident response | Stable operations and predictable spend |
| Ongoing improvement | Well-Architected reviews, modernization and automation | An environment that keeps pace with the business |
The Business Case for AWS Consulting
The business case becomes stronger when cloud initiatives are judged on business outcomes rather than infrastructure alone. Cloud adoption can bring scalability, faster deployment, improved resilience, access to managed services, new analytics capabilities and room to experiment without buying equivalent physical infrastructure. None of those benefits arrive automatically.
McKinsey’s research quantifies the gap between adoption and value. Its November 2023 report estimated that cloud can generate about $3 trillion in EBITDA by 2030 and that value from enabling business growth is worth more than five times the value of simply reducing IT costs. The same report found that the companies capturing the most return consistently work closely with business leaders on high-value business cases, build a robust cloud foundation and adopt a product-oriented operating model.
That distinction matters. The objective should never be to move everything to AWS. It should be to decide which workloads should move, why they should move, how they should be architected, how risk will be managed, how costs will be controlled and how the resulting environment will support business goals. The broader benefits of working with an AWS partner follow from that discipline.
An AWS consulting partner helps businesses plan AWS migration, strengthen AWS security, control AWS costs and run cloud operations as one accountable program tied to measurable business outcomes.
The research behind these points is summarized below with its source and date.
| Source | Year | Verified Finding |
|---|---|---|
| McKinsey, In search of cloud value | 2023 | Cloud can generate about $3 trillion in EBITDA by 2030 |
| McKinsey, In search of cloud value | 2023 | Only 10 percent of companies have fully captured cloud value, 50 percent are starting to and 40 percent have seen no material value |
| McKinsey, In search of cloud value | 2023 | Value from enabling business growth is worth more than five times the value of reducing IT costs |
| McKinsey, Cloud-migration opportunity | 2021 | Migration inefficiencies cost the average company 14 percent more than planned each year |
| McKinsey, Cloud-migration opportunity | 2021 | 38 percent of companies saw migrations delayed by more than one quarter |
| McKinsey, Cloud-migration opportunity | 2021 | The average company staffed about 35 percent of its cloud needs in house |
AWS Migration Planning and Assessment
An organization should first understand what it is running before migrating anything. That’s a no-brainer, but most infrastructure estates are full of years of backlogged applications, databases, virtual machines, integrations, legacy systems, unused resources, undocumented dependencies and operational workarounds. Without knowing them, moving to their unknowns brings downtime, performance issues, security loopholes and unforeseen expenses. To guide customers in their migration, AWS offers a checklist for assessing infrastructure usage and dependencies, and gathering the information necessary to design their infrastructure to be cost-efficient for the target architecture.
This discovery is systematically performed by a consulting partner and covers the following aspects: servers, OS, applications, databases, network traffic, storage, CPU/memory usage, backup needs, security measures, licenses, recovery goals, compliance and criticality of the business. The output is not a spreadsheet of the inventory.The output is not an inventory spreadsheet. A helpful evaluation serves as a springboard to sequence the migration and make architectural decisions. Let’s say a manufacturer that is using an ERP system, production applications, file servers, databases, analytics workloads, and remote access from an on-premises data center. To move all servers, a simple way would be to move them as they are.
An experienced consulting staff would rather ask, which workloads require continuous availability, which databases are tightly coupled, which applications are allowed to suffer downtime, which systems communicate across network boundaries, and which applications are candidates for modernization. The project is moving from moving servers to creating the appropriate target environment.
AWS Architecture Design
An AWS consulting partner is most valuable in the field of architecture. A powerful, yet long list of decisions, because AWS has hundreds of services and a few means to solve most technical issues. When should an application be deployed onto Amazon EC2, Amazon ECS, Amazon EKS or AWS Lambda? When can data reside in Amazon RDS, Amazon Aurora or Amazon DynamoDB? If workloads require to be spread across multiple Availability Zones?
How does traffic access the environment, what identity model will be applied, do private subnets need to be used for workloads, and what are the best practices to use for secrets and backups? There isn’t one single architecture that fits all organizations. The AWS Well-Architected Framework assesses workloads on six pillars: operational excellence, security, reliability, performance efficiency, cost optimization and sustainability.
A consulting partner uses these principles on the actual needs of the organization. If an ecommerce business is getting ready for traffic to spike during a particular period, they might want elasticity, performance, availability and auto-scaling. A financial services organization may be more focused on security, governance, auditability, resilience and regulatory requirements, whereas a startup may be more focused on speed, simplicity and cost efficiency. The architecture should be based on the business and not the other way round.
AWS Security and Identity Management
Another key reason for outsourcing to AWS consultants is security. The cloud security model is shared responsibility, with AWS responsible for securing the infrastructure and customers configuring and securing a majority of workloads. This includes the need for effective identity controls, network security, data protection, logging, monitoring, vulnerability management, and backup and governance. Identity and access management is one to watch out for.
An unmanaged AWS environment can gain too many permissions, users who are not active, credentials that live long-term, and policies and unclear ownership. A good, mature design incorporates the elements of centralized identity, least-privilege access, role-based permissions, multi-factor authentication, logging and separation of duties.
Imagine a growing SaaS company where developers, administrators, contractors and application workloads all need AWS access. Without central governance, permissions drift over time. A consulting engagement establishes account structures, identity roles, permission boundaries, logging, security monitoring and deployment controls that scale with the company. The objective is to build security into the operating model rather than add more tools, and organizations that want ongoing coverage can explore the benefits of managed cloud security services.
The shared responsibility model divides security duties between AWS and the customer as follows.
| Area | AWS Responsibility | Customer Responsibility |
|---|---|---|
| Physical data centers and hardware | Yes | No |
| Global network and virtualization layer | Yes | No |
| Identity and access management | Provides the service | Designs users, roles and permissions |
| Operating systems on EC2 | No | Patching, hardening and configuration |
| Network configuration | Provides VPC, security groups and firewalls | Configures rules and segmentation |
| Data protection | Provides encryption and backup services | Classifies data, enables encryption and manages keys |
| Logging and monitoring | Provides CloudTrail, CloudWatch and security services | Enables, reviews and responds to findings |
AWS Cost Optimization and FinOps
Cloud costs become difficult to follow as an organization grows. A company might start with a few workloads and manageable monthly bills, then accumulate development environments, production systems, backups, databases, data transfer, analytics and observability tooling until expenditure is hard to explain.
AWS’s cost optimization pillar defines the goal as delivering business value at the lowest price point, organized around cloud financial management, expenditure and usage awareness, cost-effective resources, demand and supply management and continuous optimization. A consulting partner turns those principles into working processes such as rightsizing, removing idle infrastructure, reviewing storage tiers, scheduling non-production environments, choosing appropriate purchasing options, improving database efficiency, setting budgets and alerts and allocating costs to business units.
Cost management should begin before migration where possible. The partner can estimate target architecture costs, identify major cost drivers, model alternative designs and define tagging and allocation rules, and after deployment the organization compares actual usage against those expectations. A development environment running around the clock when it is only used during working hours, an over-provisioned database or storage full of obsolete data are the kind of findings a recurring review surfaces. Practical techniques are covered in our guides on how to reduce AWS bills without affecting performance and on cloud cost optimization tools and practices.
Cost optimization does not mean choosing the cheapest resource. AWS itself notes that architecture involves trade-offs, such as speed to market against cost, and a business may reasonably spend more when the investment improves availability, performance, resilience or revenue. The goal is efficient cloud spending, not minimum cloud spending.
The most common cost levers a partner reviews are summarized below.
| Cost Lever | What It Targets | Example Finding |
|---|---|---|
| Rightsizing | Compute and database capacity above actual need | Instances running at low utilization for months |
| Idle resource cleanup | Unattached volumes, old snapshots and unused load balancers | Resources left behind after testing |
| Scheduling | Non-production environments running around the clock | Development servers used only in working hours |
| Storage tiering | Data kept in expensive storage classes | Rarely accessed data held in standard storage |
| Purchasing options | On-demand spend on steady workloads | Stable workloads with no commitment-based pricing |
| Tagging and allocation | Costs that cannot be traced to owners | Spend with no team or project attached |
| Architecture review | Designs that cost more than they need to | Workloads that could use managed or serverless services |
AWS Managed Services and Continuous Operations
Migration day is not the end of the cloud journey. Once workloads run in AWS, the organization needs processes for monitoring, incident management, patching, backups, performance tuning, security reviews, capacity planning, cost management and change control. This is where managed services complement consulting.
The operating model varies. Some businesses keep full internal ownership and use a partner for periodic reviews, others use a co-managed model where internal IT and the partner share responsibilities, and organizations with limited cloud operations capacity outsource a larger share of day-to-day management. What matters most is defining responsibilities clearly.
If a production application fails at 2 a.m., the organization should already know who receives the alert, who investigates, who has authority to make changes, how escalation works, how the incident is documented and how recurring problems are prevented. Cloud operations should be designed as a system rather than handled through informal arrangements. Our overview of AWS cloud management services for growing enterprises explains how these operating models work in practice.
Operating models differ mainly in who owns day-to-day responsibility.
| Operating Model | Internal Team Role | Partner Role | Best Fit |
|---|---|---|---|
| Fully internal with periodic reviews | Owns all operations | Reviews architecture, security and cost | Mature cloud teams |
| Co-managed | Owns applications and priorities | Shares monitoring, patching and incident response | Mid-sized teams with limited cloud depth |
| Fully managed | Sets requirements and approves changes | Runs day-to-day operations under SLAs | Organizations without dedicated cloud operations |
AWS Application Modernization
Migration and modernization are related but different. Migration moves workloads into AWS, while modernization changes how applications are built, deployed, operated or integrated so they can use cloud capabilities more fully. A legacy application may run successfully on an EC2 instance while still following an architecture designed for an older infrastructure model.
Modernization can involve containers, managed databases, serverless services, APIs, infrastructure as code, automated deployment pipelines, observability or event-driven design. It should never be pursued simply because a technology is popular. The right question is whether modernization solves a real business or operational problem.
A company may keep a stable legacy application on EC2 because modernizing it would add risk with limited business value, while another application justifies modernization because it needs faster releases, elastic scaling, better resilience or integration with analytics and AI services. This is why workload-by-workload assessment matters.
The difference between the two is clearest side by side.
| Dimension | Migration | Modernization |
|---|---|---|
| Main goal | Move workloads into AWS | Change how applications are built and run |
| Typical speed | Faster | Slower and more deliberate |
| Application changes | Minimal | Moderate to significant |
| Typical approaches | Rehost, relocate, replatform | Refactor, containers, serverless, managed services |
| Main benefit | Exit data centers and gain cloud infrastructure | Faster releases, elastic scaling and lower operational effort |
| Main risk | Carrying old inefficiencies into the cloud | Scope growth and delivery risk if not justified |
AWS Data, Analytics and AI Readiness
Modern cloud environments increasingly serve as platforms for data and artificial intelligence. AWS provides services across storage, databases, analytics, machine learning, generative AI, data processing and application development, and a consulting partner helps establish the infrastructure and governance needed to use them responsibly.
An organization may hold customer information across databases, applications, files and operational systems. Before deploying advanced analytics or AI, it may need to address data quality, integration, access control, metadata, governance, security and architecture, so the cloud environment becomes part of a wider data strategy. AWS also runs a Generative AI Competency for partners that support strategy, application development, infrastructure, data, governance, security and operations for generative AI workloads. A consulting partner helps determine whether the current environment is ready for such workloads before technology is deployed without a foundation.
AWS Disaster Recovery and Business Continuity
Business continuity is another area where AWS architecture carries strategic weight. Traditional environments often depend on physical servers, specific facilities, backup appliances or manual recovery procedures. AWS offers several architectural options for resilience, and the right one depends on recovery objectives.
Recovery Time Objective describes how quickly a workload must be restored after disruption, and Recovery Point Objective describes how much data loss is acceptable. A consulting partner maps those requirements to architecture. A business-critical application may need multi-AZ deployment, automated backups, replicated databases, infrastructure as code, tested recovery procedures and documented runbooks, while a non-critical internal tool may justify a simpler and cheaper approach.
The principle is to align resilience investment with business impact, and a disaster recovery design that is never tested is not enough. Recovery procedures need to be exercised and measured. Our guide to AWS backup and disaster recovery covers these patterns in more detail.
AWS disaster recovery guidance describes four broad strategies that trade cost against recovery speed.
| DR Strategy | How It Works | Recovery Speed | Relative Cost |
|---|---|---|---|
| Backup and restore | Data is backed up and infrastructure is rebuilt when needed | Slowest, typically hours | Lowest |
| Pilot light | Core data and services run minimally in the recovery environment | Faster, typically tens of minutes | Low to moderate |
| Warm standby | A scaled-down but working copy runs continuously | Fast, typically minutes | Moderate to high |
| Multi-site active/active | Full workloads run in more than one location | Near real time | Highest |
AWS Governance and Multi-Account Strategy
Governance becomes more important as AWS adoption grows. A single account may be enough for an early experiment, but larger organizations usually need separation between production and non-production workloads, business units, applications, security functions and environments.
A consulting partner helps design account organization, policies, identity controls, logging, cost allocation, networking and security baselines. The objective is to create guardrails without stopping teams from moving quickly. Excessively restrictive governance slows development, while weak governance produces security risk, uncontrolled spending and inconsistent operations, so a mature operating model sets clear rules and lets teams build within them.
AWS Well-Architected Reviews
A Well-Architected review evaluates a workload against the framework’s six pillars to identify risks and improvement opportunities. One workload may perform well but lack tested backups, another may be highly available but expensive, and a third may have strong security controls but weak operational processes. The review exposes trade-offs rather than assuming a single metric defines architectural quality.
A consulting partner can run these reviews periodically as workloads change. Architecture is not static, because AWS keeps releasing new services and business requirements keep shifting, and AWS’s own cost guidance recommends revisiting architectural decisions as new services and features become available.
Each pillar prompts a different question during a review.
| Pillar | What It Evaluates | Question a Partner Should Answer |
|---|---|---|
| Operational excellence | How workloads are run, monitored and improved | How are changes deployed and incidents learned from? |
| Security | Protection of data, systems and identities | Who can access what, and how is that audited? |
| Reliability | Ability to recover and meet demand | What happens if an Availability Zone fails? |
| Performance efficiency | Use of resources to meet requirements | Are the chosen services right for this workload? |
| Cost optimization | Delivering value at the lowest price point | Where is spend not producing business value? |
| Sustainability | Reducing environmental impact | Is idle or oversized capacity being removed? |
Do You Need an AWS Consulting Partner If You Have an Internal IT Team?
Yes, in many cases. An internal IT team knows the business, applications and users, while an AWS consulting partner adds specialist architecture, migration, security and cost optimization experience. The most effective model is often co-managed, where internal IT keeps ownership of priorities and the partner fills specific capability or capacity gaps.
Hiring a partner does not mean replacing internal IT. McKinsey’s 2021 research on cloud migration missteps found that the average company staffed only around 35 percent of its cloud needs in house, which shows how common it is to combine internal teams with external expertise. The internal team holds institutional knowledge about applications, users, processes and priorities, while a specialized partner brings broader exposure to architecture patterns, migration programs, security models, cost optimization, automation and AWS services.
| Capability | Internal IT Team | AWS Consulting Partner |
|---|---|---|
| Business and application knowledge | Usually strong | Requires discovery |
| AWS specialist expertise | Varies by organization | Typically a core capability |
| Migration methodology | Varies | Often structured and repeatable |
| Architecture assessment | Depends on skills | Specialized capability |
| Cloud cost optimization | May be limited by time | Dedicated expertise available |
| Security architecture | Depends on security maturity | Specialized cloud security capability |
| 24/7 operations | Depends on staffing | May be available through managed services |
| AWS technology exposure | Depends on workload | Broader cross-customer experience |
| Strategic cloud roadmap | Often shared with other responsibilities | Can be dedicated to cloud transformation |
| Knowledge transfer | Internal responsibility | Can be included in engagement |
The best engagement model is the one that fills the organization’s actual capability gaps.
In-House Team vs AWS Partner Total Cost of Ownership
Comparing an in-house AWS team with a consulting partner on salary or day rate alone gives a misleading answer, because total cost of ownership includes everything required to deliver and sustain the outcome. An in-house team carries recruitment time, salaries, training and certification, tooling, retention risk and the opportunity cost of pulling engineers away from daily operations. A partner carries engagement fees and management overhead, but it can shorten the time to a working environment and spread specialist skills across a defined scope.
The table below compares cost components rather than figures, because real costs depend on location, scope, workload count and required coverage.
| Cost Component | In-House AWS Team | AWS Consulting Partner |
|---|---|---|
| Time to start | Hiring and onboarding before work begins | Usually starts after scoping and contracting |
| Specialist skills coverage | Limited to the people hired | Architecture, security and FinOps skills on demand |
| Training and certification | Ongoing internal investment | Carried by the partner |
| 24/7 operational coverage | Requires multiple staff or on-call rotations | Available through a managed services agreement |
| Retention and key-person risk | High if one engineer holds critical knowledge | Reduced when documentation and handover are contracted |
| Rework from design mistakes | Depends on team experience | Reduced by repeatable methodology, if the partner is strong |
| Long-term knowledge ownership | Stays in the organization | Depends on knowledge transfer in the contract |
A practical approach for many organizations is to keep ownership of priorities and application knowledge internally while using a partner for migration, architecture, security baselines and operational coverage, then transferring knowledge over time.
When Should a Business Hire an AWS Consulting Partner?
A business should hire an AWS consulting partner when cloud complexity outgrows internal capacity. Common triggers include a major migration, rising or unexplained AWS costs, security or governance gaps, legacy application modernization, disaster recovery planning and preparing data for AI workloads. Company size matters less than workload complexity and the cost of getting architecture decisions wrong.
A small startup benefits when early architecture choices will have long-term consequences. A mid-sized organization often needs help during migration or modernization, and a large enterprise may need specialized expertise across many accounts, business units, regions, applications and governance requirements. The same applies when the internal team understands AWS well but lacks the capacity to run a migration while keeping daily operations stable.
How AWS Consulting Engagements Are Scoped and Priced
Unlike advertising, AWS consulting has no universal cost-per-lead or return-on-investment benchmark. Consulting economics depend on scope, architecture complexity, workload count, migration volume, compliance requirements, operating model and the level of managed support required, so proposals should be evaluated against the work being performed rather than hourly rates alone.
| Engagement Area | Typical Business Objective | Main Cost Driver | Potential Business Impact |
|---|---|---|---|
| AWS Assessment | Understand current environment | Environment complexity | Better migration and architecture decisions |
| Migration Planning | Build roadmap | Number and complexity of workloads | Reduced migration risk |
| AWS Migration | Move workloads | Workload count and dependencies | Modernized infrastructure |
| Architecture | Design target state | Application complexity | Reliability, scalability and maintainability |
| Security | Reduce cloud risk | Compliance and environment complexity | Stronger controls and governance |
| Cost Optimization | Improve cloud economics | AWS spend and architecture | Better resource efficiency |
| Managed Services | Operate AWS environment | Coverage and workload criticality | Operational continuity |
| Modernization | Improve application architecture | Application complexity | Agility and performance |
| Disaster Recovery | Improve resilience | RTO, RPO and architecture | Reduced business disruption |
| Data and AI | Enable advanced workloads | Data architecture and use cases | New analytical and automation opportunities |
A responsible partner explains what work will be performed, how success will be measured, which assumptions have been made and what the customer will own after the engagement. For a closer look at pricing variables, see our breakdown of what influences AWS partner costs.
AWS Consulting Engagement Models
Different businesses need different levels of support. An assessment-only engagement suits an organization that wants an independent review of its existing AWS environment, where the consultant examines architecture, security, cost, operations and governance and delivers a prioritized improvement roadmap. A project-based engagement focuses on a defined migration, modernization initiative, security program or architecture build.
A co-managed model combines internal IT ownership with external AWS expertise, and a managed services model covers ongoing monitoring, operations, security, cost management and support. The right model depends on internal capabilities and business requirements. A company should avoid paying for a large service model when it only needs specialist help on one project, and it should equally avoid a minimal engagement when it lacks the people to run the resulting environment.
A quick comparison helps match the model to the need.
| Engagement Model | Best For | Typical Deliverable | Ongoing Commitment |
|---|---|---|---|
| Assessment only | Independent review of an existing environment | Prioritized improvement roadmap | None |
| Project based | A defined migration, modernization or security program | Completed project with documentation | Ends at handover |
| Co-managed | Teams that need specialist depth and extra capacity | Shared operations and knowledge transfer | Ongoing |
| Managed services | Organizations without dedicated cloud operations | Monitored, supported environment under SLAs | Ongoing |
How to Choose the Right AWS Consulting Partner
Choosing a partner should involve more than checking for an AWS logo on a website. AWS’s partner ecosystem includes firms with very different competencies and specializations, so relevant experience matters more than partner status alone.
Start with technical capability, meaning whether the partner can show experience with the AWS services, architectures, workloads, industries and security requirements relevant to your project. Then look at methodology and whether the partner has a defined process for assessment, architecture, migration, testing, deployment, documentation and handover. If the partner will run the environment after migration, examine its monitoring, escalation, incident management, security and reporting processes.
Transparency is the fourth test, since a good proposal clearly describes assumptions, deliverables, responsibilities, dependencies and success criteria. The fifth is knowledge transfer, because the engagement should build your team’s capability rather than create permanent dependence for every small change.
Red Flags When Hiring an AWS Consulting Partner
Some warning signs appear early in the sales process and are worth taking seriously. A partner that quotes a fixed migration timeline before any discovery has taken place is guessing, because realistic timelines depend on dependencies, data volumes and testing requirements that only an assessment reveals.
Be cautious when a proposal lists AWS services without explaining how they map to your business objectives, or when every workload is assigned the same migration strategy. Vague ownership is another warning sign, particularly when the proposal does not say who responds to incidents, who approves changes or what happens after go-live. The same applies when the people presented during sales are not the people who will do the work, when documentation and knowledge transfer are missing from the statement of work, or when cost optimization is promised without any mention of tagging, budgets or ongoing review.
None of these issues automatically disqualifies a partner, but each one should prompt a direct question before a contract is signed.
The table below pairs each warning sign with the question that tests it.
| Red Flag | Why It Matters | Question to Ask |
|---|---|---|
| Fixed timeline before discovery | Timelines depend on unknown dependencies | What assumptions sit behind this timeline? |
| Services listed without business mapping | The design may not solve your problem | How does each component support our objectives? |
| One migration strategy for every workload | Some workloads will be moved badly | How will you decide the strategy per application? |
| Unclear post-go-live ownership | Incidents may fall between teams | Who responds, who approves changes and how fast? |
| Sales team differs from delivery team | Experience in the proposal may not reach the project | Who exactly will work on our environment? |
| No documentation or handover in scope | You become dependent on the partner | What documentation will we own at the end? |
| Cost savings promised without process | Savings may not be sustained | How will tagging, budgets and reviews work? |
Questions to Ask an AWS Consulting Partner
Before signing an AWS consulting agreement, a business should understand exactly how the engagement will run. Ask how the partner will assess the current environment, how dependencies will be mapped, how migration waves will be defined, how downtime will be controlled, how security will be implemented, how cloud costs will be monitored and how the architecture will be validated.
Ask who will do the work. An impressive proposal can hide a project team with limited experience, so understand the roles of architects, migration engineers, security specialists, project managers and managed service staff.
Ask how success will be measured. A migration is not successful simply because servers moved, and depending on the project success may mean availability, performance, completion against plan, security controls, cost targets, recovery objectives, deployment speed or business continuity.
The A5 AWS Value Framework
A useful way to evaluate an AWS consulting partner is a framework that connects technical capability with business outcomes. The A5 AWS Value Framework has five stages, which are Assess, Architect, Accelerate, Assure and Optimize.
In the Assess stage, the partner understands the existing environment, applications, dependencies, security requirements, costs and business objectives. In the Architect stage, it designs a target AWS environment that addresses reliability, security, performance, cost, operations and scalability. In the Accelerate stage, it executes migration, modernization, automation and deployment in controlled phases. In the Assure stage, it establishes security, monitoring, governance, backup, disaster recovery, compliance controls and operational processes. In the Optimize stage, it continuously reviews architecture, usage, cost, performance and business outcomes.
What sets this framework apart is that it treats migration as the middle of the journey rather than the finish line. Most partner evaluations focus on how well a firm moves workloads, while the A5 approach asks an equally important question, which is how well the firm will run and improve the environment after the move.
The five stages at a glance.
| Stage | Key Activities | Main Output | Example Success Measure |
|---|---|---|---|
| Assess | Inventory, dependency mapping, cost baseline and business goals | Current-state assessment | Workloads classified by criticality |
| Architect | Target design for security, reliability, cost and operations | Target architecture and roadmap | Design approved against Well-Architected pillars |
| Accelerate | Wave-based migration, modernization and automation | Workloads running on AWS | Migration waves completed against plan |
| Assure | Security, monitoring, backup, governance and runbooks | Operational controls in place | Recovery tested and alerts routed correctly |
| Optimize | Cost, performance and architecture reviews | Continuous improvement backlog | Spend and performance tracked against targets |
A5 AWS Value Framework in Practice
Imagine a mid-sized organization operating around 100 workloads on premises. During Assess, the consulting team finds that some workloads are business critical while others are development systems, legacy applications, unused infrastructure or applications scheduled for retirement. During Architect, the team designs an AWS environment with appropriate networking, identity, monitoring, backup, security and workload architecture.
During Accelerate, workloads move in waves rather than all at once. During Assure, monitoring, security controls, logging, backup validation, governance and operational processes are put in place, and during Optimize the team reviews utilization, architecture, performance and expenditure. The outcome is fundamentally different from buying AWS infrastructure and moving servers.
The 7 Rs of AWS Migration Strategy
AWS migration planning commonly uses seven migration strategies known as the 7 Rs, which are rehost, relocate, replatform, repurchase, refactor or re-architect, retire and retain. The central principle is that different applications may need different strategies.
A stable legacy application may be rehosted, another workload may be replatformed onto a managed database, a commercial application may be repurchased as SaaS, an obsolete system may be retired and a business-critical application may eventually be refactored. The consulting partner’s role is to match the approach to each workload, which avoids the common mistake of applying one strategy to every application.
| Strategy | What It Means | When It Fits | Example |
|---|---|---|---|
| Rehost | Move as is, often called lift and shift | Speed matters and the application is stable | Moving a VM-based app to EC2 |
| Relocate | Move at the hypervisor level without changing the platform | Large VMware estates | Moving VMware workloads to VMware Cloud on AWS |
| Replatform | Move with small optimizations | A managed service removes operational effort | Moving a self-managed database to Amazon RDS |
| Repurchase | Replace with a different product, often SaaS | A commercial alternative serves the need better | Replacing an on-premises CRM with a SaaS CRM |
| Refactor or re-architect | Redesign using cloud-native services | Scaling, agility or performance needs justify it | Breaking a monolith into containers or serverless |
| Retire | Decommission | The application is no longer needed | Switching off unused legacy tools |
| Retain | Keep where it is for now | Migration is not yet justified | Keeping a system with a pending replacement |
Why Migration Dependency Mapping Matters
Applications rarely exist in isolation. A web application may depend on a database, the database may communicate with another internal service, that service may rely on a file system, users may reach the application through DNS and identity systems, and reporting tools may consume its data. If those links are not understood, migrating one component can break another.
A consulting partner builds dependency maps and migration waves that reflect these relationships. The organization might first move a low-risk supporting system, then a related database, then application servers and finally the production-facing components. The exact order depends on the environment, but migration sequence should always follow technical and business dependencies.
How AWS Consulting Firms Qualify and Scope Engagements
Understanding how consulting firms qualify opportunities helps buyers prepare and spot partners that chase volume rather than fit. A firm that treats every inquiry the same way tends to produce generic proposals, while a disciplined firm qualifies each opportunity step by step before committing architects to it.
The framework below shows how a B2B AWS consulting funnel is typically measured. These are operational planning ranges rather than universal industry benchmarks, because conversion rates vary with market, offer, traffic source, brand strength, sales process and audience.
| Funnel Stage | What It Measures | Example Planning Range |
|---|---|---|
| Website Visitor to Lead | Ability to generate inquiries | 1%–5% |
| Lead to Marketing Qualified Lead | Initial fit and intent | 20%–50% |
| MQL to Sales Qualified Lead | Sales acceptance | 30%–70% |
| SQL to Opportunity | Commercial relevance | 30%–60% |
| Opportunity to Customer | Sales conversion | 15%–40% |
| Customer to Expansion | Additional services | 20%–50% |
For a buyer, the practical lesson is that a partner asking detailed questions about workloads, timelines, decision makers and success criteria early in the conversation is usually qualifying fit properly, which tends to lead to a more accurate proposal.
Which Business Situations Need an AWS Partner Most
Not every AWS inquiry carries the same urgency. Someone researching AWS pricing or studying for a certification has a very different need from an IT manager with an active migration or a company facing a security concern, and the level of partner involvement should match the situation.
| Lead Type | Typical Intent | Business Relevance | Sales Readiness |
|---|---|---|---|
| AWS pricing researcher | Comparing cloud costs | Low to medium | Low |
| AWS certification learner | Education or career interest | Low | Very low |
| AWS service researcher | Exploring technology | Medium | Low |
| Startup evaluating cloud | Planning infrastructure | Medium to high | Medium |
| IT manager planning migration | Active project | High | High |
| Enterprise evaluating MSP | Operational requirement | High | High |
| Company experiencing AWS cost issues | Immediate problem | High | High |
| Company facing cloud security concerns | Risk-driven requirement | High | High |
| Enterprise planning modernization | Strategic transformation | Very high | High |
| Organization requiring managed AWS operations | Ongoing operational need | Very high | High |
If your situation sits in the lower rows of this table, with an active project, a cost problem, a security concern or an operational need, a structured conversation with a partner is usually worth having sooner rather than later.
The Role of Automation in AWS Consulting
Automation improves the consistency of cloud operations. Infrastructure as code defines environments in repeatable configurations, deployment pipelines reduce manual releases, automated monitoring catches abnormal conditions, policy automation enforces governance and cost alerts flag unusual spending.
A consulting partner helps identify where automation creates real value, and automation should never be introduced just because it is technically impressive. The test is whether it reduces operational effort, improves consistency, lowers risk or speeds delivery. A mature AWS environment gradually replaces repetitive manual work with controlled, observable and repeatable processes.
AWS Observability and Performance Management
After migration, organizations need visibility into what their applications are actually doing, and CPU utilization alone is rarely enough. A mature observability approach combines infrastructure metrics, application performance, logs, traces, availability, error rates, latency, security events and business metrics.
A consulting partner helps decide which metrics matter. For an e-commerce application, checkout latency and transaction errors may matter far more than server utilization, while for an internal data platform job completion time and pipeline failure rates may matter most. Monitoring should connect technical measurements to business outcomes.
AWS Consulting and Sustainability
Cloud architecture also affects energy use and resource efficiency, and AWS includes sustainability as one of the six Well-Architected pillars. Its guidance covers region selection, alignment with demand, software and architecture, data, hardware and services and organizational processes.
A consulting partner can build sustainability into architecture decisions where it matters to the organization, for example by improving utilization, removing unnecessary workloads, reducing idle capacity and making data storage and processing more efficient. Sustainability works best when weighed alongside performance, availability, security and cost rather than treated as a separate initiative.
A Realistic AWS Migration Story
Consider a hypothetical manufacturer with several production applications, an ERP platform, databases, file storage, reporting systems and remote offices. Leadership initially believes the project is simple and plans to move its servers to AWS.
During assessment, the consulting team finds that several applications share databases, some systems rely on fixed IP addresses, backups are inconsistent and several workloads are significantly underused. Instead of migrating everything at once, the team groups applications, moves non-critical systems first, maps database dependencies, redesigns the network, centralizes identity, standardizes backup policies and migrates production workloads only after testing.
After migration, a cost review shows several workloads can be resized, monitoring is improved and disaster recovery procedures are tested. The partner’s value was never the physical movement of workloads. It was turning an uncertain infrastructure project into a controlled program with clear ownership.
How Long Does an AWS Consulting Engagement Take?
There is no universal timeline. A basic architecture review may take days or a few weeks, a migration assessment can take several weeks depending on workload count and documentation quality, and a large enterprise migration can run for many months.
Timelines depend on scope, workload complexity, application dependencies, security and compliance requirements, data volumes, migration strategy, testing and internal decision-making speed. A partner should avoid promising a migration duration before completing enough discovery, and a realistic plan defines phases, dependencies, assumptions, milestones, responsibilities, testing requirements and rollback procedures.
| Engagement Type | Indicative Duration | What Drives the Duration |
|---|---|---|
| Architecture review | Days to a few weeks | Number of workloads reviewed |
| Migration assessment | Several weeks | Workload count and documentation quality |
| Single-application migration | Weeks to a few months | Dependencies, data volume and testing |
| Enterprise migration program | Many months or longer | Scale, governance and decision-making speed |
| Managed services | Ongoing | Contract term and coverage |
These are indicative ranges only, and a credible partner confirms duration after discovery.
What Happens After AWS Migration?
The post-migration phase deserves as much attention as the migration. Organizations should confirm that workloads run according to the intended architecture, that costs match expectations, that security controls work, that backup and recovery procedures succeed, that monitoring is sufficient and that performance meets requirements.
AWS guidance emphasizes continuous optimization rather than treating architecture as finished. AWS is best treated as an evolving operating environment that is reviewed as requirements change, new services appear, workloads grow and usage patterns shift.
AWS Consulting for Startups, Mid-Market Firms and Enterprises
Startups can build new systems without decades of legacy decisions, but they also make architectural choices quickly without always seeing the long-term consequences. A partner helps establish a secure, scalable and observable foundation that is financially appropriate for the current stage without overengineering it. Founders weighing these decisions can read our guide to AWS for startups.
Mid-sized businesses often sit between operating models. They have enough internal IT capability to manage technology but not enough specialized cloud expertise to handle every architecture, migration, security, cost and modernization requirement, which makes a co-managed model particularly useful. The internal team keeps ownership of applications and priorities, the partner adds specialist skills and delivery capacity, and knowledge is transferred over time.
For large enterprises the challenge is usually complexity rather than a lack of technology. An enterprise may run multiple business units, thousands of applications, legacy systems, regulatory obligations, many cloud accounts and separate development, security, infrastructure and procurement teams. A partner at this scale works at the program level, establishing landing zones, migration factories, governance models, security baselines, standardized deployment patterns, cost allocation and executive reporting. McKinsey’s 2021 research found that coordination problems were costing the average company 14 percent more in migration spend than planned each year, and 38 percent of companies had seen migrations delayed by more than one quarter. Those figures do not predict any single project, but they show why structured planning matters at enterprise scale.
Choosing an AWS Consulting Partner by Market
Location still matters for time zones, on-site workshops, data residency questions and familiarity with local industries, but it should never outweigh workload experience. Organizations comparing partners in India can use our guide to choosing an AWS consulting partner in India, and Pune businesses can review what to look for in an AWS partner in Pune or how to choose the right AWS managed services provider in Pune. Buyers in the United States will find market-specific evaluation criteria in our guide to finding the right AWS partner in the US. Whichever market you operate in, the same test applies, which is whether the partner can show relevant experience with workloads, industries and compliance requirements like yours.
Common Mistakes Businesses Make Without AWS Consulting
The most common mistake is treating AWS like a traditional data center. AWS is not simply a place to rent virtual machines, since it includes managed databases, serverless technologies, containers, analytics, security capabilities and automation tools that change how workloads can be designed.
Other frequent mistakes include migrating without enough dependency mapping, ignoring cost management until the bill becomes a problem, granting excessive permissions because it is easier than designing proper identity policies, assuming migration completion means the work is finished, failing to document the architecture and never testing disaster recovery. An experienced partner prevents these problems through structured assessment, architecture, governance and operational processes.
AWS Consulting and Documentation
Documentation is often underestimated. Cloud environments change quickly, and without recorded architecture decisions an organization can lose track of why resources exist, how applications communicate, who owns each component or how recovery works.
A consulting partner should leave behind architecture diagrams, account structures, network designs, security models, operational runbooks, migration records, recovery procedures and cost-management processes. Good documentation also shortens onboarding, because a new engineer can understand the environment without relying on one person’s memory.
Measuring the Success of AWS Consulting
A successful engagement has measurable outcomes defined before the project starts. A migration may be measured by workloads moved, downtime, success rate, post-migration incidents, application performance and budget adherence. A cost project may track cost trends, utilization and resource efficiency, while a security project may track identity coverage, policy compliance, logging coverage, vulnerability remediation and incident readiness.
A modernization project may measure deployment frequency, release time, performance, scalability or operational effort, and a managed services engagement may measure availability, incident response, mean time to recovery, ticket volume and SLA performance. Agreeing these metrics up front keeps both sides accountable for the same outcome.
| Engagement Type | Metrics to Agree Before Starting |
|---|---|
| Migration | Workloads migrated, downtime, post-migration incidents, budget adherence |
| Cost optimization | Cost trend, utilization, share of spend allocated to owners |
| Security | Identity coverage, policy compliance, logging coverage, remediation time |
| Modernization | Deployment frequency, release time, scalability, operational effort |
| Managed services | Availability, incident response time, mean time to recovery, SLA performance |
AWS Consulting ROI
Don’t just measure the return on an AWS consulting engagement by the difference between the cost of consulting and the upfront costs of the infrastructure. A more complete calculation accounts for the value of avoided downtime, reduced operational overhead, quicker deployments, better utilization, lower security exposure, greater recovery strength and opportunities for business the platform affords.
A smaller, but significant improvement in the efficiency of the use of the cloud on a particular day can make a significant difference after several years, while a well-designed disaster recovery architecture may not appear to have tangible value during normal operation, but can make a critical difference during a major outage. McKinley’s research only further proves that the value of cloud is not just about saving IT dollars but resilience, digitisation and revenue growth.
Why the Cheapest AWS Consulting Partner May Not Be the Cheapest Option
Price is one element that is considered when comparing proposals. A reduction in the initial cost might not mean a reduction in the overall cost since if the migration must be repeated, causes downtime, documents badly or exposes security vulnerabilities or results in an inefficient architecture the additional cost down the road can be much greater than the initial cost.
These are scope, expertise, methodology, deliverables, responsibilities, operational support, documentation, security, cost optimization and long term maintainability. If there is more involved engagement, there may be more complexity downstream and the decision should be based on the overall value, not the headline fee.
AWS Partner Credentials and Specializations
AWS partner credentials can aid businesses through identifying validated capabilities and AWS competencies and specializations cover industries, technologies and workloads. There should never be an excuse to bypass due diligence because of a credential. Read the specific team they’re going to go with, the customer experience, their technical methodology, their approach to security, project governance, documentation standards and post-migration support, as the right partner is the one whose capabilities match your actual problem.
The Difference Between an AWS Consultant and an AWS Managed Service Provider
An AWS consultant typically focuses on strategy, architecture, implementation, migration, modernization, security or specialized projects, while an AWS managed service provider handles ongoing operational management. Some organizations offer both.
The distinction matters because a company planning a migration may need consulting expertise first and operational support afterwards. A partner that covers the full lifecycle provides continuity, but responsibilities still need to be defined clearly. If you are weighing ongoing operations specifically, our guide to choosing an AWS managed services provider in India covers what to evaluate.
| Dimension | AWS Consultant | AWS Managed Service Provider |
|---|---|---|
| Main focus | Strategy, design and delivery of projects | Day-to-day operation of the environment |
| Engagement length | Defined project scope | Ongoing contract |
| Typical outputs | Roadmaps, architectures, migrations | Monitoring, incident response, reporting |
| Commercial model | Project or time-based fees | Recurring fees tied to scope and SLAs |
| When you need it | Planning, migrating or redesigning | Running and improving after go-live |
The Future of AWS Consulting
AWS consulting is past the basic infrastructure movement. Consulting teams need to have a grasp of business processes, as well as technology, to support organisations’ need for cloud environments that can support data platforms, automation, cyber security, machine learning, generative AI, application modernization, observability and financial management.
Right now, it’s no longer about where the server moves, it’s about what business outcome the organization is looking for and what architecture will enable it. Similarly, McKinsey’s study concludes that firms with higher cloud value are associating cloud initiatives with high-value business cases, building a solid foundation and operating models oriented toward products.
How to Hire an AWS Consulting Partner, Step by Step
Where a couple decides to get married, there is first of all a purpose for the marriage. However the objective may be migration, cost reduction, security enhancement, modernization, managed operations, disaster recovery, scalability of applications, data analytics or a bigger cloud program, and if it is stated first, then proposals are being kept comparable.
The second step is to determine the current state, which means the partner understands what the infrastructure is, what the applications are, what the dependencies are, what the business priorities are, the security needs, the processes and the expected outcomes. The third step is to look at the partner’s target architecture and roadmap in light of the evaluation criteria and red flags listed above. The final phase is implementation, testing, migration, optimization and continuous operations, where success factors and who will own them are documented. A successful engagement gives the organization more clarity and capacity than it had at the start of the project.
Common Questions Businesses Ask Before Hiring an AWS Partner
What does an AWS consulting partner do?
An AWS consulting partner designs, plans, migrates, secures, operates and optimizes AWS workloads. This can range from assessment, architecture, migration execution, security, cost optimization, managed services, disaster recovery, application modernization, data strategy through to ongoing cloud operations, depending on the engagement.
Is an AWS consulting partner necessary for every business?
No. If a business has a lot of experience using AWS, has established a robust cloud program, has sufficient engineering skills and has an effective governance model, it can operate AWS on its own. When there is a complex migration, limited cloud skills, security needs, unforeseen costs, modernization needs, and/or a lack of capacity within the organization, a partner is valuable.
How can an AWS consulting partner reduce cloud migration risk?
By evaluating infrastructure and application dependencies prior to migration, designing a suitable target architecture, creating migration waves, testing workloads, outlining a roll-back strategy and validating security and operational controls, a partner lowers migration risk. AWS will specifically suggest the first step is to evaluate infrastructure uses and dependencies.
Can an AWS consulting partner reduce AWS costs?
Yes. A partner can know about the potential savings points in rightsizing, eliminating unused resources, optimizing resource usage, auditing storage, rearchitecting, creating cost allocation and managing finances continuously. Actual savings will vary by the architecture, utilization, AWS services used, purchasing model and business requirements.
What is the difference between AWS migration and AWS modernization?
AWS migration gets workloads or applications running on AWS. AWS modernization is a transformation in application architecture, infrastructure patterns, deployment processes, database or operating practices, which leverage cloud capabilities more fully. Some are replatformed, some are refactored, some are containerized, some are managed service, and some are modernized and moved without any changes.
What should an AWS consulting partner provide after migration?
Monitoring, security management, cost optimization, backup validation, disaster recovery testing, performance management, incident response, architecture reviews, documentation, governance and ongoing optimization are examples of post-migration support services. Services being provided should be specified in the consulting or managed services contract.
How much does AWS consulting cost?
There is no single AWS consulting fee since the charges will vary based on scope, workloads, complexity of migration, compliance needs, and if managed services are required for the ongoing business. Assessment and statement of work are the most accurate ways of comparing proposals.
Can an AWS consulting partner manage AWS after migration?
Yes. Managed cloud operations, as well as monitoring, incident management, backup, security, cost optimization, patching, performance management and architecture support are also a frequent component of many AWS consulting firms. Before entering into the arrangement, the responsibilities and escalation procedures should be agreed to.
What is AWS Well-Architected?
The AWS Well-Architected Framework is a set of guidelines and best practices for assessing cloud workloads within six distinct pillars: operational excellence, security, reliability, performance efficiency, cost optimization and sustainability. It assists organizations to consider architectural trade-offs and pinpoint opportunities for improvement.
Why is cloud cost optimization an ongoing process?
As applications grow, workloads go idle, traffic patterns evolve, and AWS releases new services, the usage of these cloud services is constantly changing. As a result, AWS suggests regularly reviewing architectures and assessing whether any newer services or approaches can be used to increase efficiency.
Can an AWS consulting partner help with generative AI?
Yes. AWS has a Generative AI Competency for partners to support strategy, application development, foundation-model workloads, infrastructure, data, security and operations. A partner can be used to help determine if your data and governance structures are capable of supporting the deployment of AI workloads.
The Strategic Value of an AWS Consulting Partner
It’s not the fact that AWS is technically difficult, that’s the biggest argument for using an AWS consulting partner. That’s the way that cloud decisions impact the whole business. Infrastructure choices influence cost, application design influences development speed, monitoring influences reliability, backup design influences continuity, and data architecture influences what it can deliver to analytics and AI, and architecture influences scalability, identity influences security, etc.
All these decisions are interlinked and an experienced partner creates the links in a structured way. The business begins with an assessment, defines a target architecture, implements a controlled migration or modernization phase, sets up security and governance, develops operating processes and continues to improve the environment. This translates to a cloud environment that’s built upon business needs, not a disjointed mix of Amazon Web Services services.
Conclusion
AWS offers the necessary tools to create scalable, secure and resilient technology environments, but it’s not enough to simply rely on AWS to ensure a successful outcome. For all these reasons, an AWS consulting partner is of immense value for organizations as they make decisions on architecture, deal with security and cost issues, identify dependencies, implement governance, manage workloads, plan for disaster recovery and optimize with every passing moment.
The right partner walks a business through the process of Assessment to Architecture, Architecture to Migration, Migration to Operational Maturity, and Operational Maturity to Continuous improvement. Choosing the right AWS consulting model gives you the ability to proceed with structure whether you are approaching AWS for the first time, need to control your AWS spend, modernise your legacy applications, bolster security measures, establish your disaster recovery or prepare infrastructure for data and generative AI.
The first step is to get a good understanding of your existing environment, business goals, workflow requirements, security needs and operations. An AWS roadmap can then take the following five steps on AWS value framework: Assess, Architect, Accelerate, Assure and Optimize. The migration shouldn’t be the end of the story of your cloud progress, as that’s where the actual running, measuring and improving of the environment starts.
Plan Your AWS Roadmap With Cloud Secure Group
Cloud Secure Group works alongside your internal team to assess, architect, migrate, secure and optimize AWS environments, with support aligned to your workflows, reporting cadence and escalation paths. Whether you are planning a first migration, bringing AWS costs under control or preparing infrastructure for AI workloads, we build the roadmap around your actual workloads rather than a generic template. Explore our AWS migration services, AWS managed services and AWS cost optimization services, or schedule a discussion with our team.
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