Product teams launching production workloads on AWS
Establish accounts, networks, identity, environments, delivery, observability, backup, recovery, and cost controls before scale.
AWS landing zones, multi-account architecture, networking, containers, serverless, data, security, observability, migration, and managed operation
AWS cloud engineering services
Rokad designs, builds, migrates, secures, and operates production AWS environments across accounts, networking, compute, containers, serverless, data, delivery, and reliability.
Platform fit / 01
Designed for teams with a specific platform requirement.
AWS offers broad infrastructure and managed services, but a production estate needs a deliberate multi-account foundation, identity, networking, guardrails, infrastructure code, workload architecture, telemetry, backup, recovery, cost ownership, and operational support. Rokad engineers these layers around each workload rather than creating an ungoverned service collection.
Organisations migrating applications and data to AWS
Assess dependencies, establish a landing zone, move workloads in waves, validate service objectives, and retire legacy infrastructure safely.
Enterprises rationalising an existing AWS estate
Standardise accounts, permissions, networking, infrastructure code, security, telemetry, tagging, support, and FinOps practices.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
AWS accounts and resources grew without a durable hierarchy
Workloads, environments, identities, networks, logs, budgets, and ownership are mixed in ways that increase risk and operating effort.
Managed services are adopted without lifecycle ownership
Upgrades, quotas, scaling, data retention, backup, security, observability, dependencies, and cost are not assigned to accountable teams.
Permissions and network access are broader than the workload requires
Long-lived keys, shared roles, permissive security groups, public endpoints, and inconsistent resource policies weaken assurance.
Platform capabilities / 03
What Rokad can implement and operate.
01
AWS Organizations, Control Tower, account vending, organisational units, shared services, and landing-zone architecture
02
IAM Identity Center, workload roles, federation, least privilege, secrets, KMS, policy, CloudTrail, and Config
03
VPC, subnets, routing, Transit Gateway, PrivateLink, Route 53, load balancing, CloudFront, and hybrid connectivity
04
EC2, Auto Scaling, ECS, EKS, Lambda, API Gateway, event-driven, and serverless application architecture
05
S3, RDS, Aurora, DynamoDB, ElastiCache, OpenSearch, messaging, data movement, backup, and recovery
06
CloudFormation, CDK, Terraform, CI/CD, artefacts, deployment strategies, observability, and operational automation
07
Security Hub, GuardDuty, WAF, vulnerability, incident, capacity, performance, cost, and managed AWS operation
Implementation system / 04
The architecture behind a dependable platform delivery.
AWS landing zone
Organisation, accounts, identity, regions, networks, logging, security, policy, tagging, budgets, and shared platform services.
Workload architecture
Compute, containers, serverless, storage, databases, events, APIs, caching, scaling, failure domains, and data boundaries.
Delivery system
Infrastructure code, pipelines, artefacts, configuration, secrets, environments, approvals, progressive delivery, and rollback.
AWS operations
Telemetry, service objectives, incidents, backup, recovery, security findings, quotas, capacity, cost, support, and lifecycle.
Use cases / 05
Where this platform creates practical leverage.
AWS landing-zone implementation
Create a secure multi-account foundation with central identity, networking, logging, guardrails, budgets, and repeatable account provisioning.
Application and database migration
Move services and data through assessed migration patterns, rehearsals, replication, cutover, validation, rollback, and operational transition.
AWS cloud-native platform
Build container, serverless, event, API, data, AI, and web workloads on governed managed services with clear ownership.
AWS reliability and cost improvement
Connect architecture, utilisation, commitments, storage, data transfer, scaling, incidents, and service objectives to measurable outcomes.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Multi-account boundaries follow risk and ownership
Separate production, non-production, security, logging, shared services, data, and business domains according to isolation and operating needs.
Workload identity replaces embedded credentials
Use federated users, roles, service identities, short-lived credentials, scoped policies, and auditable assumption paths.
Managed services are selected with exit and recovery in view
Document data portability, backup, restoration, service quotas, region dependencies, failure behaviour, and replacement cost.
Quality and governance / 07
Production controls are part of the implementation.
Secure cloud boundaries
Accounts, subscriptions, projects, identity, networks, secrets, encryption, policy, logs, and production access are designed as explicit trust boundaries.
Reproducible infrastructure
Infrastructure, configuration, policy, deployment, monitoring, backup, and recovery controls are versioned and delivered through reviewable automation.
Operated reliability and cost
Service objectives, telemetry, incidents, capacity, recovery, usage, commitments, budgets, and ownership are measured together.
Delivery / 08
A controlled path from assessment to operation.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
AWS account, workload, network, identity, security, data, cost, and migration assessment
Landing-zone, workload, data, integration, reliability, and governance architecture
AWS infrastructure-as-code repositories, account foundations, and shared services
Compute, container, serverless, network, storage, database, and event implementation
CI/CD, monitoring, security, backup, recovery, cost, and incident controls
Architecture decisions, runbooks, ownership, support, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
Microsoft Azure
Microsoft cloud engineering for Entra, Azure networking, applications, data, AKS, security, and operations.
02
Google Cloud
Google Cloud architecture for projects, networking, GKE, Cloud Run, data, security, and operations.
03
Cloudflare
Edge applications, connectivity, security, storage, delivery, and Zero Trust on Cloudflare.
01
Software development
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
02
Data engineering
Pipelines, platforms, warehouses, analytics engineering, BI, and governed data operations.
03
Managed technology services
Ongoing application, cloud, security, reliability, support, and continuous improvement.
FAQ
AWS cloud engineering services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad build an AWS landing zone for an existing organisation?
Can Rokad build an AWS landing zone for an existing organisation?
Yes. We assess current accounts, organisations, identity, networking, logs, policies, workloads, contracts, and operating constraints before establishing or modernising the landing zone.
02Can Rokad migrate workloads from another cloud or on-premises environment?
Can Rokad migrate workloads from another cloud or on-premises environment?
Yes. We assess dependencies, data, service equivalence, networking, identity, cutover, rollback, operations, cost, and provider-specific constraints before migration.
03Does Rokad use infrastructure as code on AWS?
Does Rokad use infrastructure as code on AWS?
Yes. We use suitable tools such as CloudFormation, CDK, or Terraform to version infrastructure, policy, environments, and repeatable operational controls.
04Can Rokad manage AWS after launch?
Can Rokad manage AWS after launch?
Yes. Managed services can cover releases, monitoring, incidents, security findings, backups, recovery, upgrades, quotas, capacity, cost, and platform evolution.
Amazon Web Services · Cloud platform engineering
Build AWS as a governed operating platform, not an inventory of resources.
Rokad can establish the landing zone, implement workloads and delivery controls, migrate systems, and operate the AWS estate reliably.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.