Platform Development as a Service

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.

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.

Scaling

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.

Benefits

Cost Saving: Transition to Kubernetes means 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
cycles.

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

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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

Principles

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.

Scaling

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.

Benefits

Get in touch

Fast Links

Contact Us

Hello! How can we help you? Send us an email if you have any questions, ideas, or business inquiries.

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

Principles

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 likeunit tests in applications. Therefore each change is expected to pass the platform unit tests.

Scaling

The platform is adapted in such a manner to scale by using the underlying Cloud provider featuresas 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.

Benefits

Get in touch

Fast Links

Contact Us

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.