Landing zone and account design
Org structure, identity federation, guardrails, and network patterns that match how your teams actually ship, not a reference architecture nobody applies.
Cloud Computing
Put production in a cloud you can explain, copy, and recover.
We build the landing zone, move the workloads, and instrument cost and reliability, so the next environment is a template, not another undocumented account.
L0Edge / CDN
L1API gateway
L2Tenant runtime
L3Data plane
L4Observability
01The work
Landing zones, migrations, and cost control for workloads that have to stay up.
Cloud computing at Codeaxes is the foundation layer: identities, networks, accounts, backup, and the path from a laptop or a data center onto managed infrastructure. It is not the same as building a PaaS product for other developers, and it is not only CI scripts. We start with what must not fail, RPO and RTO, data residency, who can change production, then implement infrastructure as code so a second region or a second product does not require folklore. Migrations are sequenced. Rollback is rehearsed. Cost is tagged from the first resource, not discovered in a surprise bill.
02Problems
What this service is for.
01
Production lives in one engineer’s AWS account with no org structure or break-glass path.
02
A lift-and-shift left idle resources and a bill nobody can attribute to a product.
03
Environments drift because staging was clicked together in the console.
04
A region outage has no documented failover, only a hope that backups exist.
05
Identity is a shared IAM user, so audits cannot say who changed what.
06
The team wants Kubernetes because it is popular, not because the workload needs it.
03Capabilities
What we actually deliver.
Workload architecture
Compute, data, and edge choices, VMs, containers, serverless, matched to traffic, team skill, and compliance, with the trade-offs written down.
Migration and modernization
Discovery of current hosts, a sequenced move, dual-run where needed, and a cutover with rollback, including the data path, not only the app servers.
Reliability and recovery
Backup, multi-AZ or multi-region where the RTO requires it, restore tests, and incident communication that does not start from a blank page.
FinOps and tagging
Cost allocation, budgets, and the habit of reviewing idle spend, so cloud is a product cost, not a mystery.
Security baseline
Encryption, secrets, private networking, and logging that satisfy common questionnaires without pretending to be your entire GRC program.
- ▹ Landing zone with account, identity, and network diagrams
- ▹ Infrastructure as code for the foundation and first workloads
- ▹ Migration plan with sequenced cutovers and rollback
- ▹ Backup and restore evidence for agreed RPO and RTO
- ▹ Tagging, budgets, and a first FinOps review
- ▹ Runbooks for access, incidents, and environment promotion
04Workflow
How this engagement runs.
01
Current-state and constraints
We inventory workloads, data sensitivity, residency, and who currently has production access, including the unofficial paths.
02
Target architecture
Provider, account model, and compute shape are chosen against RTO, skill, and cost, with explicit non-goals so Kubernetes is not the default.
03
Foundation build
Identity, network, logging, and IaC land before applications move, so the first migrated service inherits the baseline.
04
Migrate and prove
Workloads move in slices with dual-run, restore tests, and traffic shifting that can reverse.
05
Operate and optimize
Cost reviews, patch windows, and a backlog for the next environment or region, owned by named operators.
05Fit
Industries and stack.
Industries
7 sectors
- SaaS
- Healthcare
- Fintech
- Ecommerce
- Logistics
- Manufacturing
- Education
Typical stack
Tools we actually operate
06Use cases
Where this shows up in production.
First production landing zone
A startup leaves a single shared account for a structured org with SSO, separate prod, and a way to recreate staging from code.
Data-center to cloud move
A sequenced migration of apps and databases with dual-run, DNS cutover, and a tested restore, not a weekend hope.
Cost and sprawl cleanup
Untagged resources, idle disks, and forgotten snapshots are attributed, then either owned or removed against a budget.
Regulated workload baseline
Private networking, encryption, and logging packaged so security questionnaires have diagrams instead of screenshots.
- Environments that can be reproduced from code
- Migrations with a reverse gear
- Cost that maps to products and teams
- Identity and logging that survive an audit question
- A foundation PaaS and product teams can build on without forking accounts
07Work
Related case studies.
Manufacturing and Enterprise Operations
AxisOps Manufacturing
AxisOps digitized work orders and quality checks on the plant floor while keeping ERP production orders as the system of record.
- TypeScript
- React
- Node.js
Floor visibilitySupervisors see open exceptions without floor walks for every question
Open study
Logistics and Mobility
RouteWise Mobility
RouteWise built a dispatch platform that prioritizes exceptions, supports dispatcher overrides, and keeps drivers productive when connectivity is unreliable.
- TypeScript
- Go
- PostgreSQL
Dispatcher focusExceptions surfaced before routine stop noise
Open study
Fintech and Financial Services
LedgerKit
LedgerKit required onboarding that felt fast to applicants while giving risk and ops teams defensible case files, not screenshots scattered across email.
- TypeScript
- Node.js
- PostgreSQL
Applicant clarityStatus page aligned to actual pipeline stage
Open study
SaaS and Technology
Northline Analytics
Northline needed one analytics workspace model for self-serve teams and enterprise accounts without maintaining parallel codebases or fragile permission hacks.
- TypeScript
- Node.js
- PostgreSQL
Provisioning timeHours → minutes for standard enterprise workspaces
Open study
08FAQ
Questions about Cloud.
How is this different from PaaS development?
Cloud computing is the environment your products run on. PaaS development is building a platform that other developers deploy onto. Many companies need the first; only some are selling the second.
Will you force Kubernetes?
No. We use managed containers or serverless when they match the workload and the team. Kubernetes is chosen when scheduling, density, or isolation actually require it.
Can you work inside our existing AWS organization?
Yes. We prefer to extend a landing zone you already have, and we will say when a greenfield account structure is cheaper than fighting years of console drift.
Do you operate the cloud after go-live?
We can, under a named retainer with patch windows and incident expectations. We can also hand the foundation to your platform team with runbooks and pairing.
Do you migrate workloads to AWS, Google Cloud, or Azure?
Yes. Cloud computing covers landing zones, identity, sequenced migration, recovery tests, and FinOps. We will not default to Kubernetes if a managed container or serverless shape fits the workload and the team.
How do DevOps engagements differ from cloud or QA work?
Cloud is where systems run. DevOps is how code gets there and how you see it: pipelines, IaC, secrets, promotion, and alerts. QA designs the cases and risk coverage those pipelines should enforce. They complement each other.