Outcome-led
The engagement starts with what needs to improve, not with a predetermined platform or technology.
Enterprise technology services
Technology services built around the initiative—not the silo.
Arina Technologies helps organizations plan, modernize, build, automate, operate, and scale technology across cloud strategy, application engineering, AI, DevOps, and specialist staffing.
Advisory + implementationCloud + software + AIDelivery + operations
One connected delivery modelStart with one service or combine capabilities.
How Arina helps
Six service areas designed to work together when the problem crosses traditional boundaries.
A cloud migration may require application engineering. An AI initiative may need architecture, APIs, data access, observability, security, and additional specialist capacity. The service model is intentionally flexible so the work can be structured around the initiative rather than forcing customers to coordinate disconnected workstreams.
Connected delivery
Architecture, engineering, AI, operations, and staffing can be combined around one initiative instead of separate silos.
Production-minded
Security, reliability, support, observability, governance, and maintainability are considered before launch.
Service portfolio
Choose the capability area closest to what you need to accomplish.
Each service can stand alone or become part of a broader transformation, modernization, engineering, AI, or operating-model initiative.
Not sure where your initiative fits?We can help scope it.
01Strategy & Architecture
Cloud Strategy & Architecture
Align business priorities, platform decisions, security, governance, resiliency, and delivery standards into one practical cloud architecture.
Best for
Organizations defining cloud direction, governance, platform standards, landing zones, or enterprise architecture.
Cloud strategy and roadmapEnterprise and solution architectureLanding-zone and shared-platform design
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02Transformation
Migration & Modernization
Plan migrations around application dependencies, cutover risk, operational readiness, and the business reason for moving.
Best for
Teams moving workloads, retiring legacy infrastructure, modernizing applications, or planning complex migration waves.
Application and dependency assessmentMigration-wave planningRehost, replatform, refactor, replace, retire
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03Engineering
Application Engineering
Connect user experience, APIs, backend services, integrations, data, security, deployment, and observability into one maintainable application design.
Best for
Organizations building new digital experiences, APIs, integrations, cloud-native applications, or modernizing existing software.
Modern web applicationsAPI and backend engineeringEnterprise integration
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04AI & Automation
AI & Intelligent Automation
Design assistants, retrieval experiences, intelligent automation, and AI-enabled applications around trusted data, controlled actions, evaluation, and human escalation.
Best for
Teams moving AI beyond experimentation into grounded assistants, RAG, intelligent workflows, and production automation.
Enterprise RAG and knowledge retrievalAI assistants and copilotsIntelligent workflow automation
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05Delivery & Operations
DevOps & Cloud Operations
Improve the path from source control to production with CI/CD, infrastructure automation, observability, reliability practices, security controls, and operational ownership.
Best for
Engineering teams improving CI/CD, infrastructure automation, observability, reliability, security, and cloud operations.
CI/CD and release engineeringInfrastructure as codeObservability and SRE
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06Specialist Talent
Technology Staffing
Augment teams with cloud, software, DevOps, security, data, AI, and technical leadership aligned to the actual work—not just a job title.
Best for
Programs that need experienced cloud, software, DevOps, security, data, AI, or technical leadership capacity.
Cloud architecture and engineeringApplication and integration engineeringDevOps, SRE, and cloud operations
Explore serviceHow we engage
A practical path from the initial problem to a solution teams can operate.
The exact delivery model varies by service, but the work follows the same principle: understand the context before making architecture or implementation decisions.
Understand the problem
Start with business outcomes, users, current platforms, constraints, delivery timelines, and operational expectations.
Shape the architecture
Define the service mix, target state, technical decisions, dependencies, security requirements, and delivery approach.
Build and enable
Implement the solution while creating reusable patterns, automation, documentation, and team guidance where needed.
Operate and evolve
Measure production outcomes, improve reliability and cost, address new requirements, and continue modernization over time.
Not sure where to start?
Contact ArinaDescribe the business problem and current environment.
We can help determine whether the work is primarily architecture, migration, engineering, AI, operations, staffing—or a combination of several services.