Cloud, Hosting & IT Infrastructure
Kornspire designs and operates cloud infrastructure: landing zones, infrastructure as code, networking, CI/CD, observability, cost optimisation and tested backup and recovery.
The problem
Infrastructure nobody can rebuild
Cloud estates tend to grow by hand. Resources are created in a console during an incident, permissions are widened to unblock a deployment, and a year later nobody can say what would happen if the account were lost — or reproduce the environment from scratch. The bill rises, the recovery plan is untested, and every change carries risk that is impossible to quantify.
Signals you have this problem
- Environments differ in ways nobody can fully enumerate
- Cloud spend is rising without a matching rise in usage
- Backups exist but a restore has never been performed
- Deployments require a specific person to be available
Our approach
If it is not in code, it does not exist
Every environment is expressed as infrastructure code, reviewed like application code and applied through a pipeline. On top of that we put least-privilege access, network segmentation, observability on user-visible symptoms, and a recovery procedure that is rehearsed rather than documented and hoped for. Right-sizing comes after measurement, not before.
Landing zone and account structure
Account and subscription layout, identity and least-privilege access, tagging standards, guardrails and budget alerts.
Infrastructure as code
Terraform-managed environments with reviewable plans, reproducible provisioning and drift detection.
Networking and connectivity
Network segmentation, private connectivity to data stores, ingress and egress control, DNS, TLS and certificate lifecycle.
Containers and orchestration
Container builds, registries, Kubernetes or managed container platforms, autoscaling policies and resource limits.
CI/CD and release pipelines
Build, test, scan and deploy pipelines with environment promotion, approvals and tested rollback.
Observability and on-call
Metrics, logs and traces with alerting tied to user-visible symptoms, plus runbooks and escalation paths.
Resilience and recovery
Backup policy, retention, recovery objectives, and periodic restore rehearsals with the results written down.
Cost engineering
Measurement before right-sizing, commitment planning, storage lifecycle policies and per-environment budget visibility.
Outcomes
What changes for you
- Environments that can be rebuilt from code rather than from memory
- A recovery path that has actually been executed at least once
- Cloud spend explained by workload and reviewed on a schedule
- Deployments that any authorised engineer can run safely
Deliverables
What you receive
- Infrastructure-as-code repository covering every environment
- Network and access design documentation
- CI/CD pipelines with promotion and rollback
- Monitoring dashboards and alert definitions
- Backup, retention and recovery policy with rehearsal results
- Cost baseline and optimisation report
Evidence
What you can check before you call
Each item below links to something you can verify yourself — our own product, this website, or the engineering playbook we publish.
- Our product
Upkilo, operated by us
We run Upkilo in production ourselves — releases, hosting, support and incidents are ours to handle, not handed to someone else.
How Upkilo is built - Our product
Data protection built into the product
TLS in transit, AES-256 at rest, automated encrypted backups, and export and erasure tooling for data requests — implemented controls, not a certification.
Security on upkilo.com(opens in a new tab) - Engineering playbook
ADR-003: Azure as the default cloud
Why new client projects in India default to Azure — data residency in the Central India and South India regions among the reasons — and when they should not.
Read ADR-003(opens in a new tab) - Engineering playbook
Incident response procedure
How an incident is declared, run, communicated and reviewed afterwards — the procedure we follow ourselves.
Read the procedure(opens in a new tab)
How it runs
The engagement, step by step
- 01
Baseline
Inventory current resources, access, spend, dependencies and recovery position. Establish what exists before changing it.
- 02
Design
Target account structure, network and identity model, environment topology and recovery objectives, agreed in writing.
- 03
Codify and migrate
Bring resources under infrastructure code incrementally, lowest-risk first, with rollback at each step.
- 04
Operate and review
Monitoring and alerting in place, restore rehearsed, cost and access reviewed on a recurring cadence.
- Terraform
- Docker
- Kubernetes
- Azure
- AWS
- GitHub Actions
- OpenTelemetry
- Cloudflare
Typical engagements
What this looks like in practice
Illustrative shapes of work rather than client stories. We publish client work only with the client's consent and with real figures, so these describe the problem and the approach instead.
Migrating a hand-built estate into code
Existing resources imported into Terraform environment by environment, ending with reproducible provisioning and drift detection.
Cost reduction without capability loss
Measure, then right-size, apply storage lifecycle policies and commitments — with a written record of what changed and why.
Recovery readiness
Define recovery objectives, implement matching backups, then rehearse a full restore and fix what the rehearsal exposes.
Answers
Cloud, Hosting & IT Infrastructure: questions
What is cloud and infrastructure engineering?
Cloud and infrastructure engineering is the design, provisioning and operation of the compute, storage, networking and deployment systems an application depends on — expressed as code so that environments are reproducible and changes are reviewable.
Which cloud provider do you recommend?
The one that fits your workload, your team's existing skills and your data-residency requirements — most commonly Azure or AWS, with Cloudflare for edge delivery. We do not hold a reseller position with any provider, so the recommendation is based on fit rather than margin. Where multi-cloud is proposed, we usually argue against it unless there is a concrete requirement driving it, because the operational cost is consistently underestimated.
Can you manage infrastructure on an ongoing basis?
Yes, as a managed service with defined response commitments, or as a co-managed arrangement where your team holds day-to-day control and we handle escalation and periodic review. Both are documented, and both leave access and ownership with you.
What are realistic recovery objectives?
They should be derived from business impact, not chosen for comfort. We help you set a recovery point objective and recovery time objective per system, implement backups that can meet them, then rehearse a restore to prove it. An untested backup is an assumption, not a control.
How much cloud cost can be saved?
It varies too much for an honest number in advance, and we will not quote a percentage we cannot substantiate. Untuned estates commonly carry idle capacity, oversized instances and unmanaged storage growth. We measure first and present findings with the specific saving and the risk attached to each change.
Deep dives
5 detailed articles on this topic
Longer technical pieces, each covering one specific decision inside this service. Written to be argued with, not skimmed.
Keep reading
Related services
Considering cloud, hosting & it infrastructure?
Tell us the outcome you need and the constraints you are working inside. You will get a straight answer about whether this is the right service, a smaller one, or none of ours.
Prefer email? hello@kornspire.com