# Infrastructure and distributed systems

> VeriSet A.Ş. builds cloud systems, APIs, distributed architectures and reliable software infrastructure. The goal is a foundation that keeps applications stable, observable and secure as they grow.

## What is software infrastructure?

Software infrastructure is the whole of servers, networks, storage, databases, services and the tools that manage them, on which applications run. Users never see it, but speed, stability and security are largely decided here.

Cloud computing lets these resources be used over the internet as needed. In a distributed architecture, a system is split into several parts that talk to each other so it can scale and keep working when a single part fails.

## What does VeriSet do in this area?

- **Cloud systems:** Running applications in the cloud in a secure, repeatable and scalable way.
- **API design:** Designing the interfaces through which systems talk to each other so they are consistent, documented and versionable.
- **Distributed architectures:** System designs that share load and keep running when one of their parts fails.
- **Reliability and monitoring:** Observability: keeping logs, watching metrics and noticing problems before users do.

## Where is infrastructure work used?

The following are typical uses of this technology; every project is evaluated separately against its own load and reliability goals.

- **Growing applications:** Architectures that keep performance as users and data grow.
- **Integration between systems:** Connecting different applications and data sources with APIs.
- **Services that need high availability:** Redundant, monitored setups where tolerance for downtime is low.
- **Data and AI workloads:** Scalable environments for big data processing and running models.
- **Automated deployment:** Automation flows that test changes and release them safely.

## Key concepts in infrastructure

- **Container:** A unit that packages an application and its dependencies so it runs the same way in every environment.
- **Infrastructure as code (IaC):** Defining servers, networks and services with versionable code instead of by hand.
- **CI/CD:** The process that automatically tests changes (CI) and releases them safely (CD).
- **Load balancing:** Distributing incoming requests across several servers.
- **Observability:** Being able to understand what a system is doing inside through logs, metrics and traces.
- **RTO and RPO:** How soon service must be restored after an outage (RTO) and how much data loss is tolerable (RPO).

## How do we choose the right approach?

Architectural complexity should only be increased when needed.

- **Single unit (monolith)** — A small team and an unsettled product direction; fast development matters. *(Separating components can get hard as it grows.)*
- **Modular monolith** — You want clearly bounded modules with a single deployment. *(Module boundaries have to be kept with discipline.)*
- **Microservices** — You have services that must scale independently and are owned by different teams. *(Network, data consistency and monitoring complexity rise sharply.)*
- **Serverless** — Spiky, event-driven workloads; you want to reduce infrastructure management. *(Latency, cost and provider dependence should be assessed.)*

## Common mistakes in infrastructure projects

- **Early complexity:** Setting up microservices or multiple regions without a need adds maintenance load for nothing.
- **Leaving monitoring for last:** If you cannot see what is broken, you cannot notice a problem before users do.
- **Keeping backups without ever testing them:** Unless restores are tried regularly, you do not know whether the backup works.
- **Keeping secrets in code:** Keys and passwords should use a separate, access-restricted management.
- **Leaving a single point of failure:** A failure in one component should not stop the whole service.

## Checklist before you start

- [ ] What are the expected load and growth?
- [ ] What is my downtime tolerance (RTO/RPO)?
- [ ] How will the system be monitored and who will be alerted?
- [ ] Is the deployment process automated and reversible?
- [ ] Where are secrets kept and with whose access?
- [ ] When did I last try restoring from a backup?

## How do we run infrastructure projects?

1. **Research:** We clarify load, reliability and security requirements and the bottlenecks of the current system.
2. **Prototype:** We build a small part of the target architecture and test our assumptions under real load.
3. **Build:** We define infrastructure as code and build it together with automated tests and monitoring.
4. **Scale:** As load grows we scale the architecture horizontally and keep watching cost and performance.

## Frequently asked questions

### What is cloud computing?

Cloud computing is a model in which computing resources such as servers, storage and databases are used over the internet, as much as needed and at the moment they are needed.

### What is an API?

An API (application programming interface) defines the rules by which one piece of software talks to another. Well-designed APIs let systems connect to each other safely.

### What does distributed architecture mean?

It means a system runs not on one machine but on several parts that communicate with each other. It lets load be shared and the system keep serving even if one part fails.

### How is high availability achieved?

Usually through redundant components, load balancing, health checks and automatic recovery. The goal is that a single failure does not stop the whole service.

### How can I contact VeriSet about infrastructure?

You can email destek@veriset.org with a short description of your current setup and the problem you face.

---
https://veriset.org/en/infrastructure/ · destek@veriset.org