Power Your Potential, Accelerate Your Success!

Transform Your Tech Future with AIT-Prague!

At AIT-Prague, we go beyond providing DevOps services We revolutionize your digital landscape. Our team of experts specializes in migrating your operations to the cloud, creating seamless CI/CD pipelines, modernizing workloads, and writing infrastructure as code. We partner with startups to help them conquer the tech world with efficiency and innovation, leveraging the power of AWS to deliver unparalleled results.

Our Expertise

Take the Leap with Our Cutting-Edge Solutions

Migration to Cloud

Elevate your business by moving to AWS with minimal disruption and maximum benefit. Our seamless migration strategies ensure your operations are always on, always optimized.

CI/CD Pipelines

Streamline your development process with robust continuous integration and delivery pipelines. Automate your code deployments and ensure faster, more reliable releases.

Workload Modernization

Transform and optimize your applications to thrive in today’s dynamic tech landscape. Modernize your workloads with Kubernetes and serverless architectures.

Infrastructure as Code

Automate and scale your infrastructure with precision and ease using tools like Terraform and CloudFormation.

DevOps and Cloud Use Cases

Harness the Power of DevOps and Cloud with AIT-Prague:

Kubernetes Orchestration with KEDA

Serverless Workloads

On-Prem to AWS Migrations

MLOps with SageMaker

End-to-End CI/CD Solutions

Kubernetes Orchestration with KEDA

Solution Architecture: We design and implement Kubernetes clusters tailored to your specific needs, ensuring high availability and robust performance.
End-to-End Integration: Seamlessly integrate Kubernetes into your Software Development Life Cycle (SDLC), enhancing collaboration and efficiency.
Infrastructure as Code: Utilize Helm charts and Terraform for automated and consistent deployment.
Case Study: By leveraging Kubernetes with KEDA (Kubernetes-based Event Driven Autoscaling), a fintech startup improved its application scaling efficiency by 60%. Response times during peak traffic decreased by 50%, and infrastructure costs were reduced by 40%.

Serverless Workloads

Solution Architecture: Develop serverless applications using AWS Lambda, ensuring scalability and cost-effectiveness.
End-to-End Integration: Integrate serverless functions seamlessly into your CI/CD pipelines for automated deployments.
Infrastructure as Code: Use AWS SAM (Serverless Application Model) for managing and deploying serverless applications.
Case Study: An e-commerce company reduced their operational costs by 70% by migrating to a serverless architecture. The serverless model allowed them to handle 10x more transactions per second during sales events without any downtime.

On-Prem to AWS Migrations

Solution Architecture: Design a comprehensive migration strategy from on-premise systems to AWS, tailored to your business needs.
End-to-End Integration: Ensure a seamless transition with minimal downtime, integrating new cloud services into your existing workflows.
Infrastructure as Code: Utilize AWS CloudFormation for replicating and managing your infrastructure in the cloud.
Case Study: A biomedical research firm migrated 100TB of data and 50 applications to AWS, achieving a 30% reduction in operational costs and a 40% improvement in data processing speed.

MLOps with SageMaker

Solution Architecture: Architect MLOps pipelines using AWS SageMaker for streamlined machine learning workflows.
End-to-End Integration: Integrate machine learning models into your production environment with robust CI/CD pipelines.
Infrastructure as Code: Manage your ML infrastructure using tools like Terraform and AWS CloudFormation.
Case Study: An AI startup reduced their model training times by 50% and operational costs by 35% by adopting SageMaker and MLOps practices. This allowed them to iterate and deploy new models faster, enhancing their competitive edge.

End-to-End CI/CD Solutions

Solution Architecture: Design and implement comprehensive CI/CD pipelines using AWS CodePipeline, Jenkins, and other tools.
End-to-End Integration: Ensure smooth, automated deployments from code commit to production.
Infrastructure as Code: Manage CI/CD infrastructure with tools like Terraform and Ansible.
Case Study: A mobile app development company improved their deployment frequency by 200%, reducing their time-to-market from weeks to days. This increased their ability to deliver new features and updates rapidly, meeting customer demands effectively.

1
Kubernetes Orchestration with KEDA
Kubernetes Orchestration with KEDA
- Solution Architecture: We design and implement Kubernetes clusters tailored to your specific needs, ensuring high availability and robust performance.
- End-to-End Integration: Seamlessly integrate Kubernetes into your Software Development Life Cycle (SDLC), enhancing collaboration and efficiency.
- Infrastructure as Code: Utilize Helm charts and Terraform for automated and consistent deployment.
- Case Study: By leveraging Kubernetes with KEDA (Kubernetes-based Event Driven Autoscaling), a fintech startup improved its application scaling efficiency by 60%. Response times during peak traffic decreased by 50%, and infrastructure costs were reduced by 40%.
2
Serverless Workloads
Serverless Workloads
- Solution Architecture: Develop serverless applications using AWS Lambda, ensuring scalability and cost-effectiveness.
- End-to-End Integration: Integrate serverless functions seamlessly into your CI/CD pipelines for automated deployments.
- Infrastructure as Code: Use AWS SAM (Serverless Application Model) for managing and deploying serverless applications.
- Case Study: An e-commerce company reduced their operational costs by 70% by migrating to a serverless architecture. The serverless model allowed them to handle 10x more transactions per second during sales events without any downtime.
3
On-Prem to AWS Migrations
On-Prem to AWS Migrations
- Solution Architecture: Design a comprehensive migration strategy from on-premise systems to AWS, tailored to your business needs.
- End-to-End Integration: Ensure a seamless transition with minimal downtime, integrating new cloud services into your existing workflows.
- Infrastructure as Code: Utilize AWS CloudFormation for replicating and managing your infrastructure in the cloud.
- Case Study: A biomedical research firm migrated 100TB of data and 50 applications to AWS, achieving a 30% reduction in operational costs and a 40% improvement in data processing speed.
4
MLOps with SageMaker
MLOps with SageMaker
- Solution Architecture: Architect MLOps pipelines using AWS SageMaker for streamlined machine learning workflows.
- End-to-End Integration: Integrate machine learning models into your production environment with robust CI/CD pipelines.
- Infrastructure as Code: Manage your ML infrastructure using tools like Terraform and AWS CloudFormation.
- Case Study: An AI startup reduced their model training times by 50% and operational costs by 35% by adopting SageMaker and MLOps practices. This allowed them to iterate and deploy new models faster, enhancing their competitive edge.
5
End-to-End CI/CD Solutions
End-to-End CI/CD Solutions
- Solution Architecture: Design and implement comprehensive CI/CD pipelines using AWS CodePipeline, Jenkins, and other tools.
- End-to-End Integration: Ensure smooth, automated deployments from code commit to production.
- Infrastructure as Code: Manage CI/CD infrastructure with tools like Terraform and Ansible.
- Case Study: A mobile app development company improved their deployment frequency by 200%, reducing their time-to-market from weeks to days. This increased their ability to deliver new features and updates rapidly, meeting customer demands effectively.