Cloud Architecture& DevOpsInfrastructure the software can rely on.
Environments, pipelines, monitoring, backups and security engineered as part of the system — not bolted on at release.
KAPAT designs and operates the infrastructure beneath business applications: cloud architecture, environment separation, automated deployment, observability, backup and recovery, and the security practices that protect data and access. The aim is software that can be changed safely and run responsibly by a small team.
All ServicesIllustrative Engineering Flow
- Service Type
- Cloud architecture and operations engineering
- Typical Scope
- Environments · CI/CD · Monitoring · Backups
- Platforms
- AWS · Azure · Google Cloud · Hybrid
- Key Concerns
- Repeatability · Visibility · Security · Cost
- Approach
- Infrastructure as code, automated delivery
- Parent Service
- Custom Software Engineering
When This Service Fits
When how the software runs matters as much as what it does.
An application is only as dependable as the infrastructure and processes around it. Cloud architecture and DevOps engineering are needed whenever a system must be deployed repeatedly, observed in production, recovered after failure and protected from unauthorised access — which is to say, for any system a business relies on.
Common scenarios — not every organisation has all of these.
- 01A new application needs a properly structured cloud environment before its first release.
- 02Deployments are manual, undocumented and depend on one person who knows the steps.
- 03There is no separation between development, testing and production, so changes are tested on live users.
- 04Nobody knows the system has a problem until a customer or colleague reports it.
- 05Backups exist in theory but have never been restored, or do not exist at all.
- 06Cloud costs have grown without anyone being sure what is running or why.
- 07Credentials, keys and configuration are shared informally or stored in code.
- 08The application must move from a single server or on-premise hosting to the cloud.
- 09A SaaS product or growing platform needs infrastructure that scales without rebuilding.
- 10Customers, partners or auditors have asked how the system is hosted, secured and recovered.
Decision Support
Decisions that shape the platform.
Infrastructure choices are consequential and not always easy to reverse. A few decisions deserve deliberate attention before provisioning begins.
Hosting model
- Public cloud, on-premise or hybrid, based on data, policy and connectivity
- Managed services versus self-managed components
- Containers, serverless or virtual machines for each workload
- Single region or multi-region, based on users and resilience needs
- Provider selection on fit, existing skills and cost structure
Operating model
- Who deploys, who is alerted and who responds
- How environments are promoted from development to production
- How configuration and secrets are managed across environments
- What is monitored and what constitutes an incident
- How infrastructure changes are reviewed and applied
- Who owns cost and capacity decisions over time
Questions to settle first
- What data the system holds and where it may be stored
- How much downtime or data loss the business could tolerate
- Expected load now and over the next few years
- Which existing systems the platform must reach
- What compliance or contractual obligations apply to hosting
- The size and skills of the team that will operate it
These are typical considerations, not a template. Recovery objectives, availability expectations and security controls are defined per project according to the business need; KAPAT engineers towards them but does not offer general uptime guarantees or service-level commitments outside a specific agreement.
Typical Software Opportunities
What KAPAT engineers in cloud and DevOps.
Representative areas of infrastructure and operations engineering, shown as capability areas rather than as a list of completed projects or certified partnerships.
01
Cloud Architecture
Structure of compute, storage, networking, identity and managed services for an application, designed for the workload, data and growth expected.
Potential capability
02
Environments & Infrastructure as Code
Repeatable development, staging and production environments defined in code, so they can be rebuilt, reviewed and kept consistent.
Potential capability
03
CI/CD Pipelines
Automated build, test and deployment flows with database migration handling, approvals where needed and rollback paths.
Potential capability
04
Monitoring & Observability
Logging, metrics, tracing, dashboards and alerting so the team sees problems before users do and can diagnose them quickly.
Potential capability
05
Backup, Recovery & Resilience
Backup schedules, tested restores, redundancy and documented recovery procedures matched to defined recovery objectives.
Potential capability
06
Security & Access Engineering
Identity and access management, secrets handling, network controls, encryption, patching and audit logging as ongoing practice.
Potential capability
Engineering Approach
How cloud and DevOps work is delivered.
Infrastructure is engineered with the same discipline as the application: understand the requirement, design the structure, build it in code, verify it, and operate it with visibility. Nothing is configured by hand that would need to be done twice.
01
Assess
Understand the application, data, load, constraints and the team that will operate it.
02
Architect
Design services, networking, identity, environments and recovery approach.
03
Provision
Build environments as code with configuration and secrets management.
04
Automate
Establish build, test and deployment pipelines with rollback.
05
Observe
Implement logging, metrics, tracing, dashboards and alerting.
06
Protect
Backups, restore tests, hardening, access review and audit logging.
07
Operate & Improve
Run, review cost and capacity, patch, and refine as the system evolves.
Architecture
Architecture principles for cloud platforms.
Good infrastructure is unremarkable in daily use and decisive under pressure: when a release goes wrong, when load spikes, when a disk fails or when an account is compromised. These principles are about being ready for those moments.
Everything as code
Infrastructure, configuration and pipelines are defined in version-controlled code, so environments are reproducible and changes are reviewed like any other.
Separated environments
Development, staging and production are isolated, with production changes arriving only through the pipeline that tested them.
Least privilege throughout
People, services and pipelines have the access they need and no more, with credentials scoped, rotated and never stored in code.
Designed for failure
Components are redundant where the requirement justifies it, state is stored in managed services, and recovery procedures are documented and tested.
Observable by default
Applications emit structured logs and metrics; the platform collects, correlates and alerts on them so diagnosis does not begin with guesswork.
Right-sized and reviewed
Capacity is matched to real load with room to grow, and cost is visible and reviewed rather than discovered on the invoice.
Technology
Technology KAPAT can work with for cloud and DevOps.
Representative categories and widely used technologies. These are capabilities, not a fixed stack, and not a statement of what was used on any particular project or a claim of partnership status.
Cloud Platforms
Compute & Orchestration
Infrastructure as Code & Delivery
Data & Storage
Observability & Security
Technology stacks and providers are selected per project for fit, longevity, the team that will operate the platform and long-term maintainability — never on the basis of a default preference.
Quality & Engineering Discipline
Engineering quality in cloud and DevOps.
Repeatable environments
Any environment can be rebuilt from code. Configuration drift is detected and corrected rather than accumulated.
Safe releases
Automated testing before deployment, staged rollout where appropriate, database migrations handled deliberately and a tested way back.
Secrets never in code
Credentials, keys and certificates live in a secrets manager, are scoped per environment and rotated.
Backups that restore
Backups are scheduled, encrypted, retained per policy and — most importantly — restored on a regular basis to prove they work.
Alerts that mean something
Monitoring is tuned so alerts indicate real problems and reach the right person, rather than being ignored as noise.
Patched and hardened
Operating systems, dependencies and managed services are kept current; unnecessary exposure is closed; access is logged.
Cost visible
Spend is tagged, reported and reviewed so growth in cost is a decision rather than a surprise.
Documented for the operator
Runbooks, architecture records and recovery procedures so the platform can be operated by the team that owns it.
Related Solutions
Business problems this capability helps solve.
Services describe engineering capability; solutions describe the business problems KAPAT applies it to.
FAQ
Common questions about cloud architecture & devops.
Cloud Architecture & DevOps
Ready to put the platform on solid ground?
Start with how the system is deployed, observed and recovered today. KAPAT can help define the cloud architecture, pipelines and operating practices that let the software be changed safely and run responsibly.
A direct conversation with the engineers who would build the system — no sales layer in between.
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