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Technology ServicesArchitectureMonolithVirginia · US-Based

Monolith Architecture

A well-structured monolith is not a legacy pattern or a failure to adopt microservices. It is the right architecture for a large number of applications. We help teams build monoliths that are organized correctly — with clear module boundaries, manageable deployment processes, and the structural discipline that allows them to scale without becoming unmaintainable.

Node.jsTypeScriptNext.jsPostgreSQLRedisDockerAWSCI/CD

Capabilities

What we do with monolith architecture

New application architecture

Greenfield Application Design

Designing a new application as a well-structured monolith with clear internal module boundaries, a layered architecture, and a deployment strategy that does not require a distributed system to operate.

Refactoring existing apps

Modular Monolith Restructuring

Restructuring an existing monolith that has grown without clear boundaries into a modular monolith: defined domains with explicit interfaces between them, so the codebase is understandable and changeable without understanding everything at once.

Database · Cache · CDN

Performance and Scaling

Scaling a monolith vertically and horizontally: database query optimization, read replica configuration, Redis caching for expensive operations, and CDN offloading for static assets. Most monolith scaling problems are database problems.

Zero-downtime deploys

Deployment and CI/CD

Setting up deployment pipelines for monoliths that support zero-downtime deploys, environment-based configuration, database migrations that run safely alongside the running application, and rollback procedures.

Queues · Workers · Cron

Background Job Architecture

Designing the background job system for a monolith: job queues, worker processes, retry logic, and dead letter queues for jobs that fail repeatedly. Worker processes that share the application's codebase but run separately from the web process.

Selective decomposition

Monolith to Service Extraction

Extracting one or two services from a monolith when a specific part of the application has requirements — scale, deployment frequency, team independence — that justify the added complexity of a separate service, while the rest of the application stays in the monolith.

Our approach

Structure is the discipline

A monolith without internal structure becomes harder to understand and change as it grows. We define module boundaries — in TypeScript, these are enforced as folder and barrel file conventions — and establish that modules interact through defined interfaces rather than reaching into each other's internals. This is not bureaucracy; it is what makes a codebase navigable at scale.

The database deserves the same attention as the application

Monolith performance problems are almost always database problems. We design the schema for the query patterns the application uses, set up indexes correctly from the start, configure connection pooling, and add read replicas when read load warrants it. These interventions are straightforward when done proactively and significantly more expensive when done in response to an outage.

Deploy smaller, more often

A monolith that is difficult to deploy encourages large, infrequent releases, which produce large, unpredictable deployments. We set up CI/CD pipelines that make deploying the monolith fast and low-risk, because the deployment process has as much impact on team velocity as the code quality.

Microservices are not always the answer

If a team asks us whether they should break their monolith into microservices, our first question is why. If the answer is that the monolith is hard to understand or change, the answer is probably better structure in the monolith, not a distributed system. Microservices solve organizational and scaling problems. They do not solve code quality problems.

monolith_spec.json
runtime: [
"Node.js",
"TypeScript"
]
framework: [
"Next.js",
"Express",
"Fastify"
]
database: [
"PostgreSQL",
"MySQL"
]
cache: [
"Redis",
"Upstash"
]
jobs: [
"BullMQ",
"pg-boss"
]
deployment: [
"AWS",
"Fly.io",
"Render"
]
engineering: [
"Virginia, United States"
]

All engineering work is done by US-based engineers. We do not offshore any development or architecture work.

Part of our software engineering services. We work across the full stack, cloud platforms, and architectural patterns.

FAQ

Common questions

Virginia · United States

Need monolith architecture expertise?

If you are designing a new application or need to bring structure to an existing one, reach out and we will discuss the architecture before any work begins.