Infrastructure and distributed systems

A reliable software foundation built on cloud, APIs and distributed architecture.

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.

Area
InfrastructureCloud, API and distributed system infrastructure development
Provider
VeriSet A.Ş.Technology company based in Türkiye
Contact
[email protected]You can also write from the contact page

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 applicationsArchitectures that keep performance as users and data grow.
  • Integration between systemsConnecting different applications and data sources with APIs.
  • Services that need high availabilityRedundant, monitored setups where tolerance for downtime is low.
  • Data and AI workloadsScalable environments for big data processing and running models.
  • Automated deploymentAutomation 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.

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

Common mistakes in infrastructure projects

  • Early complexitySetting up microservices or multiple regions without a need adds maintenance load for nothing.
  • Leaving monitoring for lastIf you cannot see what is broken, you cannot notice a problem before users do.
  • Keeping backups without ever testing themUnless restores are tried regularly, you do not know whether the backup works.
  • Keeping secrets in codeKeys and passwords should use a separate, access-restricted management.
  • Leaving a single point of failureA 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 [email protected] with a short description of your current setup and the problem you face.

Have an idea in this area?

Briefly describe your goal and where you are today, and we will take a look together.