How to Achieve Composable Architecture: Guide and Best Practices

Composable architecture is emerging as the standard for organizations that want flexibility, modularity, and independence in how they design software and infrastructure. Instead of locking into a single stack or vendor, teams assemble platforms from reusable components that can be mixed, upgraded, and scaled according to need.

This approach is especially relevant in the Kubernetes and cloud native space, where declarative configuration has made it practical to build and operate platforms as compositions of services, not monoliths. The following guide explains what composable architecture is, why it matters, and how to adopt it with concrete steps and solutions.

Key highlights

• Composable architecture is an approach that combines modular component design, infrastructure abstraction, and declarative configuration so organizations can assemble tailored platforms from reusable building blocks instead of monolithic or tightly coupled systems.

• Enterprises adopt composable architecture to escape vendor lock-in, speed up development and deployment, and standardize across multi-cloud and hybrid environments while keeping cost and complexity under control.

• Implementation rests on declarative templates, a component catalog with validation, multi-cloud abstraction, and unified control and observability so platforms remain consistent and manageable at scale.

• Mirantis delivers open, secure, composable Kubernetes platform engineering through k0rdent and declarative YAML-based templating, with a large catalog of templates and validated Helm charts so teams can achieve true composable architecture with portable, flexible platforms.

What Is Composable Architecture?

Composable architecture is a design approach that combines modular component design, infrastructure abstraction, and declarative configuration so organizations can assemble tailored platforms from reusable building blocks. Components are chosen and wired together to match technical and business needs, rather than depending on a single vendor stack or a rigid, all-in-one system.

Unlike monolithic or tightly coupled architectures, composable systems let you swap, upgrade, or scale individual parts without rewriting the whole platform. In the Kubernetes world, this might mean using a Kubernetes management framework like k0rdent Enterprise and declarative YAML (or similar) to define what you want; the platform then provisions and runs the right mix of services. That modularity is what makes composable architecture practical for modern platform engineering.

Why Composable Architecture Matters for Enterprises

Composability matters because it directly addresses the pressures enterprises face: legacy monoliths, vendor lock-in, slow delivery, and multi-cloud complexity. Understanding these drivers makes the case for investing in composable architecture clear.

The Shift from Monolithic to Modular Systems

Monolithic systems bundle everything into one codebase and deployment. Changing one part risks breaking others, and scaling or upgrading is costly. The industry is moving toward modular, cloud native designs. The CNCF Annual Survey 2024 reports that adoption of cloud native techniques reached a new high of 89% in 2024, with 91% of organizations using containers in production. That shift reflects a broad move toward composable, container-based platforms.

The same survey reports that organizations with “much or nearly all” of their development and deployment cloud native grew sharply year over year; production use of Kubernetes reached 80% in 2024, with 93% of companies using it in production, piloting it, or actively evaluating it; and Helm emerged as the preferred method for packaging Kubernetes applications at 75% in 2024, supporting a component-based, composable model.

Vendor Lock-In and Infrastructure Rigidity

When infrastructure and tooling are tied to one vendor, switching becomes expensive and slow. Composable architecture reduces lock-in by standardizing on open interfaces and portable components, so teams can move workloads and change providers without full rewrites. The CNCF survey reflects this trend: 37% of respondents use two cloud service providers and 26% use three, while 39% use hybrid cloud (combination of on-premises and public cloud). Composable, portable platforms help organizations operate across these environments without depending on a single vendor.

Accelerating Development and Deployment Cycles

Slow, manual release cycles hold back innovation. Composable platforms, when paired with modern CI/CD and GitOps, help teams ship faster. The CNCF survey reports that use of CI/CD in production grew 31% from 2023 to 2024; 29% of organizations release code multiple times per day (up from 23% in 2023); and 77% of respondents said some, much, or nearly all of their deployment practices and tools adhere to GitOps principles. The same survey notes code check-ins multiple times per day rose to 71% in 2024 (from 52% in 2023), and 38% of organizations reported 80–100% of releases automated in 2024. Composable architecture supports this by making it easier to add or change components without blocking the whole pipeline.

Multi-Cloud and Hybrid Cloud Complexity

Running workloads across multiple clouds and data centers multiplies operational complexity. Composable architecture, with a single control plane and consistent templates, reduces that burden. The CNCF survey found organizations are already mixing on-premises data centers (59%), public cloud (59%), and hybrid cloud (39%). Composable platforms that abstract over these environments through declarative config help teams maintain one logical platform across many underlying infrastructures.

Top 5 Benefits of Composable Architecture

Adopting composable architecture delivers measurable benefits: flexibility, faster time to market, less lock-in, better cost and resource use, and consistent standards across environments.

1. Enhanced Flexibility and Customization

Teams can pick the right components for each workload instead of accepting a one-size-fits-all stack. The State of Platform Engineering Report Vol 3 (Platform Engineering community) notes that 68% of platform teams prioritize standardizing infrastructure provisioning and consumption through an Internal Developer Platform, while 65% focus on improving developer experience. Composable architecture supports both by letting you assemble platforms from building blocks that match your requirements. Inference as a service is one example of a composable capability that can be added or scaled independently.

The report also notes that over 20% of PlatformCon 2024 speakers used a reference architecture as the guiding standard, showing consolidation around composable, blueprint-driven design; graph-based backends (Platform Orchestrators) are increasingly used to handle complex provisioning and app configuration in a modular way.

2. Faster Time to Market and Innovation

Composable systems reduce integration friction and enable faster iteration. The State of GitOps report (Octopus Deploy, 2025) found that high-performing GitOps teams demonstrated higher software delivery performance on DORA-style metrics, and 93% of organizations plan to continue or increase GitOps adoption. Composable architecture aligns with GitOps by treating infrastructure and apps as declarative, versioned components. Codefresh’s summary of CNCF GitOps adoption reports that 91% of respondents are already using GitOps, with 71% citing faster software delivery and 66% improved configuration management as benefits.

Codefresh’s summary of the CNCF GitOps microsurvey reports that 60% of participants had been using GitOps tools and practices for over a year and an additional 31% adopted in the last 12 months. Composable platforms help sustain the faster deployments and greater deployment consistency that GitOps adopters report.

3. Reduced Vendor Lock-In and Portability

Composable architecture favors open interfaces and portable components, so you are not tied to a single vendor. Templates and standard packaging (e.g., Helm) make it easier to move workloads and platforms across clouds and Kubernetes distributions. A consistent control plane that supports multiple environments reinforces this regardless of where clusters run.

4. Cost Optimization and Resource Efficiency

Right-sizing and standardization lower waste. The Kubernetes Benchmark Report 2024 (Fairwinds) found that 30% of organizations still need container rightsizing to improve efficiency. At the same time, 57% of organizations have 10% or fewer workloads requiring rightsizing, while 37% have 50% or more needing some level of investigation. Composable architecture supports cost control by making it easier to add, remove, or resize components and to enforce consistent resource policies across the platform.

The Kubernetes Benchmark Report 2024 (Fairwinds) notes that greater than 65% of organizations are missing liveness and/or readiness probes and many rely on cached images; composable, template-driven platforms can encode these practices once and reuse them. Standardizing on declarative config and a component catalog helps platform teams push best practices (e.g., resource requests/limits) without manual per-team intervention.

5. Platform Standardization and Consistency

When every team builds from the same catalog of validated components, you get consistent security, reliability, and operations. The Platform Engineering report found that 49% of organizations set up platform teams due to lack of automation and repetitive tasks, and 47% cited lack of standardization in DevOps. Composable architecture addresses both by providing reusable templates and a single place to define and update platform standards. Observability tooling that works across clusters reinforces consistency.

Key Pillars of Composable Architecture Implementation

True composability rests on four pillars: declarative template-based assembly, a component catalog with validation, multi-cloud and infrastructure abstraction, and unified control and observability.

Declarative Template-Based Assembly

Platforms are defined as desired state (YAML, Helm values, or similar) rather than imperative scripts. The Platform Engineering report describes Platform Orchestrators as the “missing link” that complement portals and connect to infrastructure: they match developer requests to rules and baseline configuration templates, then produce infrastructure and application config (e.g., Terraform, Helm) for deployment. Composable architecture relies on this pattern so that adding or changing a component is a change to declarative config, not custom code.

The report reports Terraform leads IaC adoption among platform teams (71%), with Crossplane and OpenTofu also used for modular, cloud-agnostic provisioning. Graph-based backends allow complex dependency and provisioning logic without nesting pipelines, which scales better for large, composable platforms.

Component Catalog and Validation

A curated catalog of templates and validated Helm charts ensures that only approved, tested components are used. That reduces drift and risk. Mirantis k0rdent provides a large catalog of templates and links to Mirantis-validated Helm charts so teams can mix and match while staying within guardrails. Validation (versioning, security, compatibility) is central to keeping a composable platform reliable.

The Kubernetes Benchmark Report 2024 (Fairwinds) notes that 70% of organizations have 11% or more of workloads impacted by outdated Helm charts, and 58% have workloads missing network policy; a maintained catalog and update policy help address this, and a composable platform can ship default policies and secure patterns as part of the catalog.

Multi-Cloud and Infrastructure Abstraction

Composable platforms should run on any cloud (public or private), on managed Kubernetes (e.g., EKS, AKS, GKE), or on bare metal and customer-managed VMs. Abstraction is achieved through declarative templates and a control plane that can target multiple backends, so teams can define and deploy workloads in one place regardless of underlying infrastructure.

Unified Control and Observability

A single point of control and visibility across datacenters, clouds, and clusters is essential for operating a composable platform at scale. Without it, teams manage each environment separately and consistency erodes. Observability (metrics, logs, traces) must be part of the platform so that every composable component can be monitored and debugged in a unified way. The CNCF survey shows Prometheus and related tooling are widely used; composable platforms integrate these as standard components rather than one-off setups.

5 Steps to Achieve Composable Architecture

A practical roadmap from requirements to a running, observable composable platform.

Step 1: Define Platform Requirements and Components

Identify what the platform must deliver: which workloads, which clouds or clusters, and which capabilities (e.g., AI inference, databases, messaging). List the components you will need (orchestration, CI/CD, observability, security) and how they interact. Align with stakeholders so the scope and success criteria are clear.

Step 2: Assess and Select Composable Components

Evaluate existing and candidate components for fit, security, and maintainability. Prefer options that are declarative, versioned, and well-documented. Use a component catalog (internal or vendor-supplied) to narrow choices to validated building blocks. Consider Inference as a service and other specialized services as composable add-ons where they match use cases.

Step 3: Design Declarative Templates and Configurations

Capture platform structure and defaults in templates (Helm, Kustomize, or platform-specific YAML). Define how components are wired: dependencies, ordering, and configuration injection. Keep templates modular so that adding or removing a component does not require rewriting the whole stack. Version templates and treat them as the source of truth for the composable platform.

Step 4: Build and Deploy Your Composable Platform

Use your chosen orchestration layer to deploy the platform from templates. Automate rollout with GitOps (e.g., Argo CD, Flux) so changes are applied consistently and auditably. Run in a staging environment first, validate security and performance, then roll out to production. Document runbooks for common operations and failures.

Step 5: Establish Continuous Management and Observability

Operate the platform through a single control plane: lifecycle, upgrades, and policy. Integrate observability so that metrics, logs, and traces from all components are collected and queryable. Review and update the component catalog and templates as new versions and requirements emerge. Use feedback from developers and operators to refine golden paths and reduce cognitive load; the Platform Engineering report reports that 47% of organizations cited developers overwhelmed or high cognitive load as a reason for setting up a platform team, and platform engineering can reduce that burden when done with composable, well-documented components.

Challenges of Adopting Composable Architecture

Adoption brings real challenges; acknowledging them builds credibility and points to where platforms and processes must improve.

Component Integration and Compatibility

Mixing components from different sources can create version and API mismatches. The Kubernetes Benchmark Report 2024 (Fairwinds) notes that 32% of organizations cite building or managing integrations as a major obstacle in composable-style setups. Mitigate by using a curated catalog, validating compatibility in CI, and documenting supported combinations. Platforms that offer pre-validated stacks (e.g., Mirantis-validated Helm charts) reduce this risk.

Template Design and Maintenance Complexity

Templates can become large and hard to maintain if they try to cover every scenario. Keep them modular and documented. The Platform Engineering report warns against starting from the frontend (e.g., portal-only); the backend (orchestration and templates) should be designed first so that composable logic lives in one place. Invest in template testing and versioning so changes are safe and repeatable.

Skill Gaps and Learning Curve

Teams must learn declarative models, GitOps, and the chosen orchestration tools. The CNCF survey found that cultural changes in the development team and lack of training are among the top challenges with containers and Kubernetes. Address this with training, clear documentation, and gradual rollout. Platform engineering that reduces cognitive load (e.g., through self-service and golden paths) helps; case studies have shown that platform engineering can reduce developer cognitive load and infrastructure toil when implemented with composable, well-designed platforms.

Catalog Management and Component Validation

Keeping the catalog up to date and secure is ongoing work. Outdated Helm charts and container images introduce risk; the Kubernetes Benchmark Report 2024 (Fairwinds) notes that 46% of organizations had 90% or more of workloads impacted by outdated container images in 2024 (up from 33% in 2023). Establish a process for reviewing, updating, and retiring catalog entries, and use automation (e.g., Nova-style checks) to detect drift. Vendors that maintain a validated catalog can reduce this burden.

Leverage Enterprise Composable Architecture Solutions from Mirantis

Mirantis k0rdent delivers open, secure, composable Kubernetes platform engineering through declarative, YAML-based templating. You assemble platforms from a large catalog of templates and Mirantis-validated Helm charts at catalog.k0rdent.io, matching precise technical and business needs without locking into a single vendor or deployment model.

Platforms built with k0rdent are portable by design. Templates define services for workloads, developers, operators, and Kubernetes itself; adaptive layers work with Cluster API to reify clusters and the software platform stack on any cloud (public or private), on managed Kubernetes (e.g., EKS, AKS, GKE), or on bare metal and customer-managed VMs. That means you can standardize across multiple clouds and infrastructures while keeping the option to move or replicate workloads without heavy refactoring. k0rdent also provides a single point of control and visibility into the entire estate (datacenters, clouds, clusters), so composable architecture stays manageable at scale.

Key advantages

• Large composable catalog: Templates and validated Helm charts at catalog.k0rdent.io for mix-and-match platform creation without vendor lock-in.

• Declarative, portable platforms: YAML-based templates and Cluster API enable the same platform design across clouds, managed Kubernetes, and bare metal.

• Single control and visibility: One place to manage and observe all clusters and environments, reducing operational complexity.

• Open and validated stack: Mirantis-validated components support standardization, security, and consistency across the composable platform.

Book a demo today and see how Mirantis helps enterprises achieve true composable architecture with open, flexible, and portable Kubernetes platforms.