AWS Consulting Services
An AWS account set up properly, secured, and costed
ZingZee provides AWS consulting services for companies that run, or intend to run, their systems on Amazon Web Services and want the account structured, secured, and priced before the first workload lands. Each engagement runs through the five-phase framework, from an assessment of the workload to monthly governance of cost and security.
What AWS consulting covers
AWS consulting services cover the design, setup, security, cost control, and operation of a company's estate on Amazon Web Services, the largest of the public clouds and the one with the widest catalogue of managed services.
ZingZee's AWS consulting services start from the account itself: the organisation structure, the identity and access model, the network, the logging, and the budget alarms that most self-service setups skip, and then place the workload on the compute, database, storage, and queue services that fit its shape. Every resource is defined as code in the client's repository and every account is opened in the client's name, so the client owns the estate and ZingZee holds access it can revoke. For a business owner the outcome is an AWS bill that matches a model written before go-live, a security posture that can be shown to an auditor or an insurer, and a platform that a second engineer could rebuild from the files.
When AWS is
the right choice.
When AWS is the right choice
AWS is the right choice when a workload's demand moves through the day or the year and the business wants capacity that follows it, and when a system must serve customers in several countries from one account. It is the right choice when the design needs managed services such as a relational database, an object store, a queue, or a content delivery network that the provider patches and scales. A company that already holds an AWS account set up by a previous developer, and needs it audited and brought under control, has a further reason, as does a team that wants a second region for disaster recovery without a second server room. The strategic assessment measures the load, prices it on AWS against the other platforms ZingZee operates, and confirms which of these conditions apply before any resource is created.
When AWS is the wrong choice
AWS is the wrong choice when a workload runs at a steady level all year, because a dedicated server or owned hardware at the same capacity costs a fraction of the metered bill. It is the wrong choice where a contract or a regulator requires the data to stay on premises or in a country AWS does not serve from a local region, and where a warehouse, factory, or clinic must keep working through an internet outage. It is also the wrong answer for a business whose staff live in Microsoft 365 and whose identity, licensing, and existing servers already sit with Microsoft, where Azure removes a second vendor. ZingZee's assessment states which case applies, and where AWS is wrong it proposes Azure, Oracle Cloud Infrastructure, a dedicated server, or the client's own hardware with the cost comparison.
AWS consulting services ZingZee provides
AWS account setup and landing zone
ZingZee builds the account structure, identity and access model, network, logging, and budget alarms as code before any workload is deployed, so every later resource inherits the controls. An existing account is audited against the same baseline and brought into line.
AWS architecture review and workload design
ZingZee reviews an existing estate against the provider's architecture guidance for security, reliability, performance, cost, and operations, and designs new workloads to the same standard. The output is a written report with a prioritised list of changes and the cost of each.
Migration to AWS
Applications, databases, and files move from a server room or another host to AWS with a rehearsed cutover, a reconciled copy of every record, and a rollback beside every step. Databases move to managed services where the assessment shows a saving in operations and risk.
AWS security and compliance
ZingZee configures identity with least privilege, encryption at rest and in transit, network segmentation, centralised logging, and continuous configuration checks, and produces the evidence an auditor or insurer asks for. Findings are tracked to closure in a register the client can read.
AWS cost optimisation and managed operations
Every resource is tagged to a service and an owner, the bill is reviewed monthly against the model written at design, and unused capacity, oversized instances, and untiered storage are removed or resized. Managed operations cover patching, backup checks, monitoring, and incident response under a written runbook.
Use cases
Bring an inherited AWS account under control
An account built by a previous developer, with root credentials in use and no budget alarm, is audited, restructured under an organisation, given named accounts with least privilege, and placed under a monthly cost review, with every change recorded in code.
Cut an AWS bill that has grown without anyone deciding it should
A bill that has risen every quarter is broken down by service and owner, idle and oversized resources are removed, storage is tiered, and reserved capacity is bought for the steady part of the load, with the saving reported against the previous twelve months.
Pass a security review from a bank, an insurer, or a large client
A company asked to complete a security questionnaire before a contract receives an estate with encryption, logging, access control, and backup evidenced by configuration, and a report that answers the questionnaire line by line.
Serve customers in a second country without a second team
A platform expanding to a new market is deployed to a second region from the same infrastructure code, with the database strategy and content delivery chosen so the new customers see the same response time as the first.
Keep a business running if a region fails
A platform that cannot be down for a day keeps a warm copy in a second AWS region, created from the same code, with the failover rehearsed on a schedule and the recovery time recorded each time it is run.
How an AWS engagement with ZingZee runs
An AWS engagement with ZingZee runs through the five-phase delivery framework. The strategic assessment measures the workload, audits any existing account against the baseline, records the data and compliance rules, and prices the estate over a normal and a peak month. The AI roadmap fixes the account structure, the services each workload will use, the migration or build order, and the cost ceiling, with the platform decision written down. Integration and deployment builds the landing zone and the workloads as code, connects them to the systems they must reach, runs the load test at the measured peak, and releases through the pipeline with a rehearsed cutover where a system is moving. Adoption and enablement trains the client's team on the console, the runbook, the dashboards, and the release process, and sets the on-call and escalation rules. Governance, optimisation and scale reviews cost, capacity, and security findings every month and adjusts the estate as the business changes. Each phase opens with a scoping workshop and closes with a hardening workshop, where the estate is tested against load and the security checklist, and a delivery workshop, where the client signs off the release.
Strategic assessment
We assess how the business operates today: its processes, its data and the systems it runs on. From that we identify the use cases with the highest return and confirm the organisation is ready to adopt them, so the programme starts from a defined baseline.
AI roadmap
Findings become a phased roadmap that balances early wins with the longer build. ZingZee sets the milestones, the resourcing and the governance that keep delivery on schedule and aligned to business objectives.
Integration and deployment
Our engineers develop, validate and deploy the solution into your production environment, integrated with the enterprise systems you already run and sized for the workloads it will carry.
Adoption and enablement
Enablement programmes prepare business users and technical teams to work with the new capability, and structured change management ensures the organisation captures the full value of what has been deployed.
Governance, optimisation and scale
Ongoing governance, monitoring and optimisation keep the solution accurate, compliant and performing. Proven solutions are then scaled across departments and regions under the same data governance standards.
AWS engagement scope
Deliverables
An AWS estate in the client's own account, structured, secured, and defined as code, with the workloads in scope deployed and monitored on it, a cost model with the first monthly review, and an operations runbook, in daily use by the end of the engagement.
Deliverables
An AWS estate in the client's own account, structured, secured, and defined as code, with the workloads in scope deployed and monitored on it, a cost model with the first monthly review, and an operations runbook, in daily use by the end of the engagement.
Included as standard
The account baseline, an architecture review against the provider's guidance, infrastructure as code in the client's repository, tagging and budget alarms, centralised logging, tested backups, monitoring with alerts to a named person, and a recorded handover.
Environments and hosting
ZingZee provisions staging and production in the client's AWS organisation and runs both until handover. The accounts, domains, and certificates are in the client's name, and ZingZee holds delegated access through a role the client can remove.
Priced separately
Application changes needed before a workload can run on AWS, data clean-up, a second region for disaster recovery, new integrations, and managed operations after handover are scoped and quoted as their own items.
What the client provides
The AWS account or authority to open one, access to any existing estate and its bills, the list of workloads and their owners, the data-residency and compliance rules that apply, maintenance windows for any cutover, and a person who approves each release.
Outside the engagement
AWS usage fees, marketplace and third-party software licences, domain renewals, and legal review of the provider's terms are the client's to hold; ZingZee specifies each, confirms it is in place before go-live, and reports usage against the cost model each month.
AWS tooling
ZingZee uses one set of tools on every AWS estate it builds, so a client who reads about one account can expect the same on the next. The tooling covers:
- Infrastructure as code for organisations, accounts, networks, and services, applied through a reviewed pipeline
- Identity with named users, roles, and least privilege, with root credentials locked away
- Managed Postgres, object storage, queues, and a content delivery network as the default building blocks
- Containers and serverless functions for services and event-driven workers
- Centralised logging, metrics, and configuration checks with alerts to a named person
- Cost tagging, budget alarms, and a monthly report against the model written at design
An AWS account set up properly, secured, and costed
Industries where ZingZee runs workloads on AWS
ZingZee runs cloud workloads for clients in travel and hospitality, where a villa rental platform's booking, pricing, and operations moved to a dedicated cloud environment with a cutover of about 25 minutes; in automotive retail, where a car importer's platform runs on a managed database and a serverless front end in the dealer's own name and pays only for what it uses; and in insurance, where a policy desk runs on a managed cloud service with its documents in a private database and file store that only the desk can reach. The same account, security, and cost discipline is offered to financial services, retail, logistics, healthcare, and professional services firms on AWS.
AWS engineering practices
Every resource ZingZee creates on AWS is defined in code in the client's repository and applied through a pipeline after review, so the estate can be rebuilt from the files and no change is made by hand in the console. Root credentials are locked away with hardware second factors, every person and every service has a named identity with the minimum rights the task needs, and every administrative action is logged centrally. Data is encrypted at rest and in transit by default, backups are tested by restore before go-live, and configuration is checked continuously against the baseline. Every resource carries a tag for its service and owner, every account carries a budget alarm, and the bill is reviewed monthly against the model. A release goes live only when the tests and the security checks pass in the pipeline.
Cost and time for an AWS engagement
The cost of an AWS engagement depends on the number of workloads, the state of any existing account, the security and compliance rules that apply, the volume of data to move, and the number of regions. An account baseline with a single workload deployed is a matter of weeks. An audit and restructure of an inherited estate with several workloads, or a migration of a server room to AWS, is a programme of a few months that goes live one workload at a time. The monthly AWS bill is modelled in the assessment for a normal and a peak month and reported against that model after go-live, and managed operations are priced as a monthly service. ZingZee provides a written estimate after the strategic assessment and phases the budget to the client's priorities.
What happens next?
You send a description of the workloads, whether an AWS account already exists, and any rules on where the data may sit.
An engineer reads it and replies within two working days with the shape of a strategic assessment and, where an account exists, the shape of the audit.
You sign a non-disclosure agreement if you need one, and you receive a proposal with the phases, the estimate, and the team.
Frequently asked questions
Straight answers on AWS consulting work with ZingZee.