Platform Development as a Service

Building a reliable, secure, and scalable platform that aims to increase the efficiency of software development teams

Platform Analysis
We listen to your software teams and define the platform elements accordingly.


Platform Building
We build your platform with an everything-as-code approach using the open-source libraries created by our team considering the industry standards.
Support & Improve
Ongoing platform development and maintenance activities including scaling, cost optimization, disaster recovery, and new requirements.

Platform Building Trends & Challenges

Building a reliable, secure, and scalable platform that aims to increase the efficiency of software development teams by providing a standardized way of deploying the platform.

The scope of platform service includes the design and development process and helps to make the right trade-offs between performance, cost, security and reliability, as well as to be a reliable escalation point supporting the system in production.



Automation Everywhere
The aim is to build a platform that provides all functions required by the development team, such as a customized deploy/release model or a customized scaling model, in an automated manner.
Everything as code
All platform code is developed with declarative DSLs including Packer, Ansible, Terraform, Kubernetes, and also imperative ways including Pulumi, Golang, and Python.
Platform Pipeline
Our approach to platform building is also similar to the approach to an application pipeline. A pipeline is required to ensure the quality, security, cost-effectiveness, and performance of the changes on the platform.
Platform Unit Testing
A PR on the platform code repository also means a potential risk that should be approached like
unit tests in applications. Therefore each change is expected to pass the platform unit tests.
The platform is adapted in such a manner to scale by using the underlying Cloud provider features
as well as the custom scaling requirements of the application on the Kubernetes level.
Platform Observability
Platform Observability and Application Observability are two dimensions of observability. We build a platform that lets you have both in one place.



Cost Saving: Transition to Kubernetesmeans decreasing the number of servers/VMs by increasing the per-OS resource utilization. Besides, the transition paths include functions like scaling without horizontal scaling (Event Sourcing), Serverless, and auto-scaling (Even scaling to 0!) that are related to overall cost decrease.

Performance: Decoupling the architecture, adding caching layers, eventual consistency, and auto-scaling increase the performance. Replacing the Monolith architectures with lightweight and lean architectures means higher performer applications and services.

Cloud-Native: Kubernetes-driven infrastructure, along with Cloud functions, brings self-healing and automation to your development and deployment

Scaling: Scaling on Y-axis and Z-axis dimensions, rather than scaling on just the X-axis dimensions.


How it works

kloia begins its solution process with an onboarding session and a Statement of Work (SoW). The onboarding process lays out a timeline of all the solution elements from which your team can select the proper elements for your environment. Subsequently, these elements are taken through kloia’s Transition Model.

For the cooperation with the development team, kloia team creates a Shared #slack channel for instant communication. Besides, the tasks are managed on a Jira Board upon preference.

Getting Started

You can submit an inquiry through the form given below and our solution experts will reach out to you as soon as possible.

Signing up for this solution includes an initial audit and assessment of your current environment.


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Get in touch