Software Development/Telecom/Web Development
Telecom Billing Platform Optimization
Mobile and web platform for vehicle service and ownership management
View projectCloud-Native Development
Client Challenges
Where Application Architecture Starts Limiting The Product
Teams usually reach out when the way an application is built, deployed, and operated starts limiting release speed, availability, scalability, or infrastructure efficiency. These constraints can indicate that the current architecture and delivery model need to evolve as the product grows.
The entire application is built, tested, and deployed as one unit, so a change in one area has to move through the same release process as everything else. Rollbacks affect the full application, and teams begin batching changes to reduce deployment frequency. Releases become larger and more difficult to validate.
Search, checkout, reporting, background processing, or another part of the application may experience much higher load than the rest. If the application can only scale as one unit, additional capacity has to be allocated to the entire system. A failure or resource problem in one component can also affect unrelated functionality.
The application was moved to cloud infrastructure without significant architectural or operational changes. It still runs with fixed-capacity assumptions, follows the same deployment process, and may cost more than expected without providing the scalability or delivery improvements the organization anticipated.
Development, staging, and production environments were created manually and have gradually diverged. Issues appear only in particular environments, creating a new environment requires substantial manual work, and knowledge of the configuration remains concentrated with a small number of engineers.
Service Overview
Cloud-Native Engineering Across Architecture And Production Operations
Solbeg’s cloud native application development services cover new products and existing applications that need architecture, delivery, and infrastructure designed for cloud environments. The exact scope depends on whether the product is being built from scratch, modernized incrementally, or prepared for a different operating model.
Definition of application boundaries, data ownership, communication patterns, deployment units, infrastructure services, and operational requirements before implementation begins. The target architecture can use microservices, a modular application structure, or a combination depending on the product and team.
Cloud application development for products designed from the beginning around automated delivery, reproducible infrastructure, observability, and scalable cloud services.
Incremental restructuring of existing applications to reduce coupling, separate workloads where justified, and introduce cloud-native delivery and operational practices without requiring a complete rewrite before users see value.
Packaging suitable workloads into containers and running them on an orchestration platform with defined health checks, scaling policies, deployment strategies, and recovery behavior.
Automated build, test, and deployment pipelines together with version-controlled infrastructure definitions so environments can be reviewed, reproduced, and changed through a controlled engineering process.
Logs, metrics, traces, dashboards, and alerts that help teams understand application behavior across components, together with visibility into the infrastructure resources associated with individual services or workloads.
Problem & solution
The problem
Distributed systems introduce architecture and operational decisions that product teams may not need to make in a simpler application
Cloud-native application development does not automatically require microservices, but when an application is split into independently deployed services, the boundaries are difficult to change later. If those boundaries do not reflect business responsibilities and data ownership, services can become tightly coupled through synchronous calls and shared data. The result is additional network and operational complexity without the independence the architecture was intended to provide.
The application also needs a delivery and operating platform around it. Container builds, environment provisioning, CI/CD, secrets management, monitoring, logging, and production support all require engineering ownership. When this work is added to the existing product team’s responsibilities without additional capacity, infrastructure work can compete directly with feature delivery.
For existing products, architectural change has to happen while the system continues serving users. Data, integrations, release processes, and operational responsibilities cannot all be replaced at once. The challenge is therefore to define a better target architecture and create a transition path that the business and engineering teams can support.
Solbeg's approach
Architecture, platform, and migration are treated as one engineering plan
Solbeg defines boundaries around business responsibilities, data ownership, operational requirements, and the way teams need to release software. Architecture decisions are documented together with their reasoning so later development can follow the same principles instead of gradually introducing dependencies that undermine independent delivery.
The platform is developed alongside the application rather than left until the end. Our cloud native development services can include container builds, deployment pipelines, infrastructure definitions, observability, access controls, and other engineering required to run the product in its target environment.
Existing applications can be restructured incrementally. Individual capabilities are separated where doing so creates a clear delivery, scaling, reliability, or ownership benefit. Traffic and data can move in stages, while the existing application remains available until the replacement path has been validated.
When this service fits
When A Cloud-Native Approach Makes Sense For Your Product
A cloud-native architecture can introduce additional engineering and operational complexity, so it should address a concrete product or delivery requirement. It becomes relevant when those requirements justify the additional architecture and platform work involved.
A product serving multiple customer organizations needs clear tenant isolation, access boundaries, configuration management, capacity planning, and a data model that supports the tenancy approach. These decisions are easier to establish before customer-specific assumptions become embedded throughout the application.
Users in different locations may require lower latency, while contractual or regulatory requirements can affect where particular data is stored or processed. The architecture needs defined rules for regional deployment, traffic routing, data placement, replication, and failure handling.
As the engineering organization grows, different teams may need clearer ownership of individual product areas and the ability to release changes without coordinating every deployment across the entire organization. Service or module boundaries can then be aligned with team responsibilities.
Notifications, live status changes, telemetry, asynchronous document processing, order workflows, or other background workloads may arrive independently of user requests and in uneven bursts. Queues, event streams, and separately scalable workers can provide a better execution model than placing every task inside the synchronous application flow.
Web applications, mobile clients, and external consumers may depend on the same underlying business capabilities while having different release schedules and interface requirements. Versioned APIs and clearly defined service contracts help changes evolve without unnecessarily coupling all consumers.
Larger customers may ask how the platform handles failures, access separation, auditability, and availability. Architecture with documented redundancy, access boundaries, monitoring, recovery behavior, and tenant controls provides concrete technical answers to those requirements.
Scope of Work
Roles And Responsibilities In A Cloud-Native Engineering Team
A cloud native application development project combines product engineering, architecture, infrastructure, data, QA, and delivery work. The exact team composition depends on whether the project is a new build, an incremental modernization, or a broader platform transformation.
Cloud solution architecture
Translation of business capabilities and operational requirements into application boundaries, deployment patterns, data ownership, infrastructure services, and security principles. Architecture decisions and major trade-offs are documented so they remain reviewable throughout the product lifecycle.
Backend engineering
Development of services and APIs using technologies such as .NET, Node.js, Java, Python, or PHP. The scope can include asynchronous communication, retries, idempotency, failure handling, and service-owned data where the selected architecture requires it.
Platform and DevOps engineering
Container image builds, orchestration configuration, CI/CD pipelines, infrastructure as code, secrets management, scaling policies, monitoring, alerting, and deployment or rollback strategies.
Frontend and mobile engineering
Development of web clients in React, Angular, or Vue and mobile applications using technologies such as React Native, Flutter, Kotlin, or Swift. Client applications are designed around API contracts, loading and failure states, authentication, and interface versioning requirements.
Data engineering
Migration and restructuring of data where application boundaries change, together with event pipelines and analytical data flows where required. Data consistency and ownership rules are defined for operations that cross multiple application components.
QA and reliability testing
Contract, integration, functional, performance, and failure-mode testing for the application and its dependencies. The scope can include validation of scaling behavior, degraded dependencies, deployment procedures, and communication between independently delivered components.
Delivery coordination
Planning of implementation stages, architecture dependencies, migration sequence, stakeholder reviews, and release milestones. Delivery coordination keeps application, platform, data, and infrastructure changes aligned throughout the engagement.
Why Solbeg
What Companies Get From Solbeg On Cloud-Native Projects
Solbeg’s cloud native development services draw on software development, modernization, mobile, data, QA, and infrastructure engineering capabilities. This allows cloud-native architecture to be treated as part of the product rather than as a separate infrastructure exercise.
One team for services and the applications that use them
Within cloud native application development services, Solbeg can cover backend, web, and mobile development. API contracts and application behavior can therefore be designed and validated within the same delivery scope instead of being coordinated between unrelated backend and client-application suppliers.
Code assessment before major architecture changes
For an existing application, work can begin with analysis of the current codebase, dependencies, data flows, deployment process, and known technical constraints. This helps identify which areas can be separated incrementally, which dependencies require additional work, and where restructuring would create limited value.
Data engineering and AI/ML capabilities within the same organization
Products that require event pipelines, analytics, reporting, machine learning, or other data-intensive capabilities can incorporate those requirements into the broader architecture instead of introducing a separate engineering provider after the application structure has already been defined.
Architecture decisions can be validated through implementation
Because Solbeg combines architecture, application, and platform engineering, key design decisions can be validated through implementation. Service boundaries, deployment patterns, infrastructure choices, and operational requirements can be checked against the way the product will actually be built, deployed, and operated.
Comparison
Microservices Or A Modular Monolith On Cloud Infrastructure
Cloud-native does not automatically mean microservices. Both approaches can use containers, infrastructure as code, automated delivery, managed cloud services, monitoring, and other cloud-native practices. The main difference is how independently parts of the application are deployed and operated.
Engagement Process
Cloud-Native Delivery Across Assessment, Architecture, And Production
A cloud-native application development engagement can support both new products and existing applications. For a new build, implementation leads to the first production release; for an existing product, it can include incremental restructuring and migration.
-
Discovery and assessment
Solbeg architects and delivery specialists review the business goals, expected usage, current architecture, engineering organization, deployment process, and relevant technical constraints with the client’s product and engineering stakeholders. For existing products, the scope can also include codebase and infrastructure assessment.
-
Architecture and delivery plan
The target application structure, infrastructure approach, major boundaries, data ownership, operational model, and delivery sequence are defined. Architecture decisions and dependencies are reviewed before significant implementation work begins.
-
Platform foundation
DevOps and platform engineers establish the agreed environments, infrastructure definitions, deployment pipelines, monitoring, logging, and other foundations required to deliver application changes repeatedly and consistently.
-
Iterative development and migration
Application capabilities are built or restructured in increments and moved through the delivery pipeline. For an existing product, selected traffic, data, or functionality can transition gradually while the current system remains operational where required.
-
Release and handover
The production release or migration is validated against the agreed functional, performance, and operational requirements. Monitoring, scaling rules, alerts, architecture documentation, and runbooks are reviewed with the team that will operate the system after delivery. Solbeg can continue with further development, optimization, and ongoing support under the agreed engagement model.
Completed projects
View all projectsSelected projects we’ve delivered
A few examples of digital products we’ve built for our clients and the results they brought to their business.
Android Development/Media & Entertainment
LumaTouch Video Editing Application
Android video editing application adapted for ChromeOS
View project
Automotive/Mobile Development/Web Development
Mobile and Web Platform for Automotive Management
Mobile and web platform for vehicle service and ownership management
View projectFAQ
Questions About Cloud-Native Development With Solbeg
A cloud-hosted application runs on cloud infrastructure but may otherwise retain the architecture, deployment process, and operating assumptions it used elsewhere. A cloud-native application is designed to make practical use of cloud delivery and operational patterns such as automated deployment, infrastructure as code, observability, managed services, containerization where appropriate, and scalable infrastructure. Microservices are one possible architecture, but they are not required for an application to use cloud-native practices.
A full rewrite is not always required. An existing product can often be modernized incrementally. Stable components may remain largely unchanged while areas that create delivery, scalability, reliability, or operational problems are addressed first. Whether a module needs restructuring, extraction into a service, or only changes to deployment and infrastructure becomes clearer during assessment.
Not automatically. Some designs can reduce idle capacity or allow individual workloads to scale more efficiently, while distributed architectures can also introduce additional cost for networking, observability, orchestration, managed services, and platform operations. The cost effect depends on workload behavior and architecture rather than on the cloud-native label itself.
Yes. Handover can be planned from the beginning, with infrastructure definitions, pipelines, architecture decisions, monitoring, and runbooks maintained in agreed project systems. The client’s engineers can also participate in reviews and implementation so operational knowledge develops throughout the engagement. Depending on the agreed operating model, responsibility can transfer to the client’s team or Solbeg can continue supporting operation, optimization, and further development.
The timeline for cloud native application development depends on whether the work involves a new product or an existing production system, the number of components and integrations, data migration requirements, platform setup, testing scope, and the amount of application restructuring required. The delivery estimate is therefore defined after discovery and architecture planning.
Yes, but multi-cloud support has architectural and operational trade-offs. Greater portability may require limiting the use of provider-specific services, maintaining equivalent capabilities across several environments, or introducing additional abstraction and operational tooling. The approach is normally justified by specific business, contractual, regulatory, resilience, or vendor-dependency requirements rather than adopted by default.
Related Services
You may also need
End-to-end services to build, launch, and grow your digital product.