Software Architecture Services

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    SMART SOLUTION

    Design your software architecture on a solid technical foundation

    software architecture

     At PLANEKS, we start every engagement with a comprehensive architectural scoping process, diving into your business goals, growth expectations, and technical bottlenecks before recommending any structural approach. Our team has extensive experience with Python-based systems, such as SaaS solutions, API-driven platforms, data-heavy applications, enterprise solutions, and more. By collaborating with our qualified engineers, you gain a solid architecture that eliminates bottlenecks, enables predictable scaling, and keeps the system coherent, supporting your growth.

    Our services

    Custom Software Achitecture Services

    Our custom software architecture services help companies make the right architectural decisions at every stage. We handle every project case with a process tailored to the specific situation.

    Backend Architecture Design

    We design backend systems with time-tested architecture principles, such as clear separation of concerns, well-defined service boundaries, and Python patterns selected for the specific complexity and scale of your product.

    Cloud-Native System Architecture

    Our software architecture company is adept at designing cloud-native architecture using Docker, Kubernetes, and infrastructure patterns that work across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure from the outset.

    Microservices and Distributed Systems

    Microservices architecture is appropriate when the system requires independent deployability, service-level scaling, and clear team ownership boundaries. We design independent services with solid boundaries, resilient inter-service communication, and a structure that remains manageable when the system scales.
    Python Microservices Development Services

    API-First Platform Architecture

    API design directly impacts every integration your platform will ever support. We establish endpoint structure, data contracts, and versioning conventions early, so your API doesn't need to be rebuilt when requirements change.
    Python API Development Services

    Data Architecture and Integration Planning

    We define the way data is stored, processed, and shared across your system, from database schema and indexing strategy to pipeline architecture and third-party integration contracts, so it remains failure-resistant and accessible during the scaling process.
    Data Integration Services

    Legacy System Modernization

    Legacy system modernization is the right approach when the cost of maintaining the current system outweighs its value, but a full replacement would introduce too much risk to live operations. We essentially assess the current architecture and then outline an incremental modernization plan that avoids disrupting current performance and preserves the functionality your business already depends on.
    API Modernization Services
    Hire software architecture developers

    Scalable and maintainable software is established on solid architecture, which means the most important work is handled before the implementation. System structure, scaling strategy, and component communication carry real weight. According to Harvard Business Review, only 35% of software projects are considered successful, and poor architectural planning can severely damage product quality.

    How we design custom software architecture

    Our Software Architecture Process

    Our software architecture design services follow a well-established process from initial discovery through to implementation-ready documentation. The flow is structured to ensure that by the time architectural decisions are made, all requirements, constraints, and technical risks are already fully comprehended. Besides, with our software architecture company, you gain access to a range of engagement options: from a scoped discovery phase before development starts, with a complete architecture design service, to a deep review of an existing system that produces a special modernization roadmap.

    1

    Discovery and Project Scoping

    Before any design work begins, we handle a structured discovery phase covering business aims, technical constraints, expected load, and integration requirements. Our goal is to identify and handle risks at this stage, since the cost of addressing them is significantly lower than during or after implementation.
    Discovery Phase
    2

    Architecture Strategy and Pattern Selection

    With a complete picture of the system's requirements and constraints, we select the right architectural approach for your situation. The choice between a monolith, microservices, or event-driven architecture depends on factors such as system complexity, scaling requirements, team structure and autonomy needs, the product's long-term technical roadmap, and team size. Besides, we explain the reasoning behind every decision made.
    3

    Technical System and API Design

    The outcomes of this phase are a complete set of core technical deliverables. We design your services, APIs, data models, and how different parts of the system interact, giving the development team a complete reference that covers all the crucial details to build from.
    4

    Architecture Validation and Prototyping

    Where suitable, we implement prototypes or proof-of-concept implementations to validate key architectural assumptions, such as load handling, service communication, and data access patterns, before they are locked in by implementation.
    5

    Implementation Planning and Documentation

    Our engagement concludes with a full set of implementation-ready package architecture documentation, a development roadmap, and technical specifications meticulously detailed to keep all stakeholders coordinated from development through to deployment.

    Our solutions

    Architecture Patterns We Create

    Our team determines the appropriate architectural pattern for each product, based on the product’s development stage, team size, technical constraints, and long-term scaling requirements.

    Monolithic Architectures

    A well-structured monolith can not only be an efficient starting point for early-stage products, but also ensure a solid architecture at any stage. Lower operational overhead, simpler deployment, and faster initial development make it a practical foundation for further extension if and when scaling requirements demand it.

    Microservices Architecture

    Microservices architecture is appropriate when system complexity, team structure, and scaling requirements make the advanced operational overhead worthwhile. Here, our team designs independent services with well-defined boundaries and inter-service communication patterns, whether synchronous through REST APIs or asynchronous through message queues.

    Event-Driven Architecture

    Event-driven architecture is suitable for systems with standalone operating components: notification services, data pipelines, real-time processing, or any workflow where synchronous communication would deliver coupling or latency. We design event-driven systems using message queues and event streams that handle variable load reliably and remain highly maintainable.

    Cloud-Native Architecture

    We design systems with a smooth fit for cloud infrastructure, containerized with Docker, orchestrated with Kubernetes, and structured so that deployments are automated, scaling is horizontal, and failure recovery is handled at the infrastructure level.

    Case studies

    Proud projects make us excel

    What you can count on

    Technical Architecture Deliverables

    At the end of an architecture engagement, you are delivered a set of implementation-ready documents that your IT team can efficiently adopt to execute the build with a fully-fledged technical reference supporting every stage of the lifecycle.

    System Architecture Diagrams

    An accurate visual map of your entire system, covering how components are structured, how they connect, and how data is transferred among them. The diagram can be shared with developers, stakeholders, or a new hire for efficient onboarding.

    Service and Module Definitions

    A breakdown of each service or module in your system, describing its responsibilities, data ownership, and interaction boundaries. It keeps inter-component dependencies manageable when your system scales.

    API Architecture and Specifications

    Detailed API design including endpoints, data contracts, authentication, and versioning strategy. Therefore, your team knows exactly what to build, and any future integration has a well-defined, versioned interface to connect to.

    Data Models and Database Design

    A detailed database design documentation covering schema structure, entity relationships, indexing strategy, and storage decisions based on how the application reads, writes, and queries data at scale.

    Infrastructure and Deployment Strategy

    Infrastructure and deployment strategy covering cloud environment setup, containerization, CI/CD pipeline architecture, and environment configuration, including your team's workflow and the system's specific availability, scalability, and recovery requirements in production.

    Security and Compliance Architecture

    Security architecture documentation that defines authentication flows, authorization models, encryption strategies, audit logging, and compliance requirements relevant to your industry, ensuring the system is created to meet them from the beginning.

    HOW MUCH DOES SOFTWARE ARCHITECTURE DEVELOPMENT COST?

    Software Architecture Cost Factors

    Pricing for architecture engagements is determined on a per-project basis. We deliver individual software architecture consulting services to assess the scope and provide an accurate cost estimate, taking into account the factors below.

    System and Component Complexity

    The system's complexity directly affects the scope of the architecture work. A simple single-service system is drastically different from a distributed system with many independent services, async processing, and real-time components, and each additional layer of complexity will ensure its own set of requirements.

    Number of Services and Integrations

    Each integration point, such as a third-party service, an external API, or an internal system, requires design decisions for data contracts, authentication, error handling, and failure recovery. A platform with multiple integrations requires significantly more design work than a self-contained system.

    Data Architecture and Storage Needs

    Data architecture is one of the most significant aspects of system design. Systems handling large data volumes, complex entity relationships, or strict data storage and access requirements introduce significant design complexity. Decisions made at this layer, schema design, storage selection, and indexing strategy, are among the most costly to change once implementation begins.

    Security and Compliance Requirements

    Systems handling financial data, healthcare records, or personal user information require a secure, compliance-ready architecture. Authentication flows, authorization models, data encryption, audit logging, and regulatory requirements such as GDPR, HIPAA, or PCI-DSS impact the work complexity level and, consequently, the needed budget.
    99 %

    Job success rate

    5

    only by our clients

    $ 120 mln

    raised by our clients

    What you will get from us

    Legacy Software Architecture Modernization

    A considerable part of all architectural work doesn’t start from scratch. Many of the systems we assess have been in production for a long time, accumulating structural technical debt that slows change, makes scaling harder, and makes maintenance more expensive. In such cases, we apply a clear and low-risk roadmap for modernization as part of our custom software architecture services.

    01

    Migrating Away from Monolithic Systems

    We help teams decompose tightly coupled monoliths into modular, maintainable architectures in phases, keeping production resilient at every step, preserving existing functionality, and eliminating a high-risk full rewrite.
    02

    Redesigning Outdated Architecture Patterns

    Some systems were designed for an entirely different set of requirements that are not relevant today. We ensure software architecture audit services to assess the current foundation, identify the components creating bottlenecks, and redesign the specific parts that are limiting performance, scalability, or maintainability.
    03

    Improving Scalability and System Performance

    In some scenarios, architecture is stable, but specific components are creating performance setbacks. Our engineering team identifies these components, such as overloaded services, inefficient data access patterns, and poorly designed queues, that are limiting throughput or response times, and brings in targeted improvements.
    04

    Modernizing Legacy Python and Non-Python Systems

    Legacy Python codebases are an extensive part of our experience, where our team updates outdated patterns, restructures service boundaries, and enhances component interaction. We also handle migrations from older stacks to Python, with a phased, structured flow.

    Frequently Asked Questions

    FAQ

    We receive some repeated questions when clients reach out for our custom software architecture services.

    What does a software architect do?

    A software architect refers to the structural base of your tech product, being responsible for aspects such as component boundaries, communication patterns, scalability strategy, and long-term maintainability before starting the implementation. The quality of those decisions impacts your software quality and performance in the long run.

    Why choose Python for backend architecture?

    Python has a comprehensive ecosystem for backend development, introducing essential frameworks like Django and FastAPI, strong tooling for data-heavy systems, and well-established libraries. It's highly practical, readable, and scales smoothly when the architecture behind it is solid. To this end, we always recommend the right solution stack for the specific project, and sometimes that means combining Python with other technologies.

    How long does architecture design take?

    The duration of an architecture engagement depends primarily on the scope and complexity of the system being designed. A focused discovery and scoping engagement typically takes 2-3 weeks. A full architecture design for a complex platform usually runs 4-8 weeks. For reference, a mid-sized SaaS product redesign averages 5 weeks, while an enterprise data platform can take up to 10-12 weeks. Our software architecture consulting company equips you with a realistic timeline after the initial conversation.

    Can you redesign an existing system architecture?

    Redesigning existing system architecture is one of the most common engagements we handle. Our experts start by diving deep into the current system, identifying what's actually causing problems within your architecture, and outlining a migration roadmap that avoids a full rewrite and maintains continuity throughout the transition.

    Testimonials

    What do people praise about PLANEKS?

    Tell us what you’re working with: a from-scratch product in early planning, a system under load, or an architecture that’s becoming harder to maintain. We’ll assess the situation and outline a development strategy. Let’s talk about your system today!

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