Workload placement assessment
Inventory applications, infrastructure, databases, utilisation, dependencies and constraints. Compare retaining, retiring, rehosting, replatforming or refactoring based on business and technical evidence.
AWS workload planning and controlled migration
Amazon Web Services
Place and migrate workloads on AWS with deliberate account, identity, network, backup, monitoring and cost controls.
Connected IT
Cloud
Security
Infrastructure
Workplace
Where the work begins
Build the decision around the business requirement.
AWS offers many ways to run an application; the useful choice depends on how the workload behaves and who will operate it. Atmic helps organisations assess workloads, establish an account and network structure, select compute and storage patterns, plan migration and prepare operational controls. Recommendations balance compatibility, security, recoverability, team skills and cost rather than assuming one service pattern fits every application.
Problems we help address
Clarity before configuration.
Teams want to use AWS but do not yet have a dependable view of workload dependencies, utilisation, data movement or application support constraints.
AWS accounts, IAM permissions and network connectivity need structure before multiple workloads and teams are introduced.
Compute and storage have been selected from nominal specifications instead of measured demand, access pattern and recovery requirements.
Backup jobs, operational alarms and logs exist in places, but ownership, retention and response steps are unclear.
Costs are difficult to explain because tagging, account allocation, budgets and responsible owners are inconsistent.
Scope and capabilities
What a well-scoped engagement can include.
Final scope depends on the environment, priorities, product entitlements and agreed responsibilities.
Account and access foundation
Plan account boundaries, organisational structure, federated workforce access, IAM roles, service permissions and separation of privileged duties with least privilege as the target.
Compute and storage planning
Evaluate Amazon EC2, containers, serverless or managed application options alongside block, file and object storage according to performance, persistence, compatibility and operational needs.
Networking and hybrid connectivity
Design VPCs, subnets, routing, DNS, traffic controls, egress and connections to existing locations. Address overlap, bandwidth, latency and third-party dependencies before cutover.
Migration, backup and observability
Plan data movement and workload waves, configure agreed AWS Backup coverage, and establish Amazon CloudWatch metrics, logs and alarms with documented responders and retention.
Cost allocation and review
Structure tags and accounts, configure budgets where appropriate, and use AWS Cost Explorer views to support owner-led reviews. Commercial assumptions and variable usage remain visible.
Potential business benefits
Designed for usefulness after handover.
A target AWS pattern selected for the workload rather than from a generic reference build.
Clearer separation of environments, access privileges, costs and operational ownership.
Migration waves informed by dependencies, validation criteria and rollback needs.
Backup, monitoring and alerting designed as operating processes rather than isolated switches.
A documented baseline that internal teams can maintain and improve.
Practical use cases
Establish AWS for a first production workload
Create the agreed account, identity, logging and network foundation; deploy a representative environment; validate operations and then prepare the production migration.
Migrate virtualised server workloads
Assess compatibility and demand, group dependent systems, right-size target compute and storage, rehearse replication and cutover, and validate applications with their owners.
Bring order to a growing AWS estate
Review accounts, IAM access, public exposure, backups, unsupported resources, alarm coverage, tagging and cost allocation, then create a prioritised remediation plan.
Assessment and implementation
A controlled route from current state to usable outcome.
Each stage establishes evidence for the next decision. The sequence is adjusted to suit risk, dependencies and change windows.
Discover workloads and constraints
Collect inventory, performance, dependencies, data classification, recovery objectives, support conditions and operating responsibilities.
Design the AWS foundation
Define accounts, access, network topology, guardrails, logs, backup, monitoring and cost-allocation patterns proportionate to the scope.
Prepare the workload
Resolve compatibility issues, select services and sizes, build non-production resources and document migration and rollback mechanics.
Migrate and validate
Move in controlled waves, test connectivity, security, data consistency, performance, recovery and business functions before acceptance.
Transfer operations
Provide configuration records, runbooks, cost assumptions and handover; separately agree any continuing administration or optimisation service.
Typical deliverables
Artifacts your team can use.
- AWS workload assessment and placement recommendations.
- Account, IAM, network and shared-services design.
- Compute and storage sizing assumptions.
- Migration-wave, test, cutover and rollback plan.
- Backup, CloudWatch and cost-visibility configuration record.
- Operations runbook and knowledge-transfer session.
Planning considerations
Dependencies to surface early.
- Application and operating-system vendor support should be confirmed for the selected AWS service and migration method.
- Regions and Availability Zones affect latency, resilience architecture, data-location decisions, feature availability and cost.
- IAM design must cover people, workloads, break-glass access, secrets and the removal of temporary migration privileges.
- Data-transfer volume and direction can materially affect both migration duration and ongoing cost.
- Backups need tested recovery procedures; high availability and disaster recovery solve different problems.
- An implementation project does not imply continuous monitoring, response times or ongoing AWS administration.
Frequently asked questions
Useful questions before you begin.
Which AWS compute service should we use?
That depends on application architecture, supported operating model, scaling behaviour, deployment method, state, portability and team capability. EC2 may suit workloads needing operating-system control; managed, container or serverless services can reduce some infrastructure work but may require application change.
Can our existing AWS account be reorganised?
Often, but the sequence depends on current dependencies, billing, permissions and production risk. The review identifies what can be changed in place, what should move to new accounts and which access or network changes need staged testing.
Does AWS Backup make a workload disaster-ready?
Not by itself. Backup creates protected recovery points for supported resources, while disaster recovery also requires target capacity, dependencies, access, runbooks, recovery objectives and tests. The recovery design must cover the complete business service.
How do you estimate an AWS migration?
We use workload inventory, measured demand, storage and transfer volumes, selected architecture, migration tooling, test needs and change windows. Estimates state assumptions because source data, consumption and AWS pricing can change.
Who responds to CloudWatch alarms after handover?
A named internal team or separately contracted service must own each actionable alarm. The project can configure routing and document first-response steps, but it does not create continuous analyst coverage or guaranteed response times unless expressly agreed.
Amazon Web Services
Turn the requirement into a practical plan.
Share the current environment, desired outcome and timeline. We’ll help define the right next conversation.