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Multi-Cloud DevOps
Software Development

We are DevOps specialists and 
experienced Software Developers. 

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Our principals follow common standards like GitOps, CI-CD and Agile.

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DevOps

Infrastructure as Code (IaC):

  • Embrace a consistent and reproducible infrastructure with our Infrastructure as Code (IaC) solutions. 
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Cloud Networking:

  • We support and setuo up open cloud networkings such as SONIC
     

Containerization:

  • Seamless application execution across various environments.
     

Kubernetes:

  • We are experts in Kubernetes and help you in any aspect of it. 
     

Monitoring and Logging:

  • Implementing monitoring and logging solutions to track system and application performance and errors

Software Development

Full Stack & API Development:

  • End-to-end web application development, covering both frontend and backend. Creation of robust APIs for seamless data exchange and integration.
     

DevOps - CD/CI: 

  • Seamless merging of development and operations for efficient cloud software delivery. Automated Continuous Integration and pipeline setup for rapid, reliable releases
     

Microservices:

  • Empowering you with agility, scalability, and the ability to adapt to market demands swiftly.
     

Agile Processes:

  • Flexible and customer-focused project management for on-time software delivery.
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Consulting

Cloud Engineering & Architecture:

  • Cloud design and implementation for your scalable and efficient solutions.
     

Technology Stack Assessment:

  • We are analyzing and optimizing your tech stack for performance and process alignment.
     

Architecture Evaluation & Design:

  • We are designing, evaluating and optimizing your system architecture for your projects integration and efficiency.
     

Blockchain

  • We provide consulting services focused on Hyperledger technology, guiding businesses in leveraging its capabilities for secure, permissioned blockchain solutions and industry-specific applications.

Open Source Project

OSS Cloud Management Console:

  • Provides a versatile and customizable cloud resource management solution.

  • Our platform empowers you to manage your cloud infrastructure resources effortlessly, tailored to your unique needs and requirements.

 

Key Features:

  • Multi-Cloud Resource Management: Seamlessly spin-up and manage Kubernetes Cluster, Virtual Machines and S3 Storage on multiple cloud providers and environments from a centralized platform.

  • Automated Provisioning and Scaling: Leverage automation to provision resources and dynamically scale your infrastructure based on demand. Deploy applications to your infrastructure in minutes from our app catalog

  • Span multi-provider Kubernetes clusters for distributed AI and Data processing

Cloud Computing & Network

E.g. scalable Cloud Solutions specializing in providing adaptable cloud solutions tailored to meet varying demands such as dynamically scaling resources and optimizing infrastructure for consistent, efficient performance, ensuring optimal resource allocation

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Effective multi-cloud management strategies, streamline operations across multiple cloud platforms, ensuring seamless integration, resource optimization, and centralized management for enhanced efficiency and flexibility.

We have experience in various Use Case Scenarious 

Data Engineering & Analytics

We support extensively in data engineering, focusing on designing and constructing robust data pipelines. 

Building scalable architectures that efficiently collect, process, and transform data from diverse sources into valuable insights.

Additionally in Advanced Analytics and Data Processing with a strong proficiency in utilizing cutting-edge tools and techniques to perform advanced analytics, predictive modeling, and machine learning, enabling data-driven decision-making.

IIoT & AI Engineering 

We focused developing infrastructure for AI and machine learning projects where we design and implement scalable environments that support AI/ML models, facilitating experimentation, training, and deployment.

Integrating distributed data sources, including IIoT sensors and systems, establishing federated and centralized data lakes and lake house ensuring data consistency, accessibility, and security tohave seamless access to consolidated and organized data for analysis and AI in industrial environments.

Engagements 

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