Technology services we provide
We use Docker in a wide range of services.
Microservices Architecture: Docker enables the development and deployment of applications using a microservices architecture. Each microservice is packaged into a separate container, allowing for independent development, scaling, and deployment of different parts of an application.
Legacy Application Modernization: Docker helps containerize legacy applications, making it easier to migrate and run them on modern infrastructure without the need for extensive refactoring.
Consistent Development Environments: Docker provides a consistent environment for developers by packaging applications and their dependencies into containers. This eliminates the “it works on my machine” problem, ensuring that code runs the same way in development, testing, and production environments.
Automated Testing: Using Docker to create isolated testing environments allows for automated testing of code in different configurations and versions. It ensures that tests are run in a clean and controlled environment, improving the reliability of test results.
CI/CD Pipelines: Docker integrates seamlessly with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) to automate the building, testing, and deployment of applications. Containers ensure that each stage of the pipeline runs in a consistent and isolated environment, reducing deployment errors.
Rapid Deployment: Docker enables rapid deployment of applications by packaging them into containers that can be quickly deployed on any system with Docker installed. This accelerates the release cycle and reduces the time to market.
Cloud-Native Applications: Docker is widely used to build and deploy cloud-native applications. Containers can be easily moved between on-premises data centers and cloud environments, supporting hybrid and multi-cloud strategies.
Cross-Platform Compatibility: Docker containers run on any system that supports Docker, regardless of the underlying operating system or cloud provider. This allows companies to deploy applications across different cloud platforms (e.g., AWS, Azure, Google Cloud) without worrying about compatibility issues.
Container Orchestration: Using Docker with container orchestration tools like Kubernetes or Docker Swarm enables automatic scaling and management of containers. It ensures high availability and load balancing for applications, providing seamless scalability to handle varying traffic loads.
Service Discovery and Load Balancing: Docker, in conjunction with orchestration tools, facilitates service discovery and load balancing, allowing efficient distribution of traffic across multiple instances of a service.
Service Isolation and Networking: Docker provides networking features that allow for secure and efficient communication between containers. This is especially useful in microservices architectures, where services need to communicate with each other while remaining isolated.
API Gateway and Proxy Services: Docker can be used to run API gateway and proxy services that manage traffic routing, authentication, and load balancing for microservices.
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What are the benefits of using this technology
Cost Savings: By enabling higher density on existing hardware, Docker reduces infrastructure costs. Fewer servers are required to run the same number of applications compared to traditional virtual machines.
Efficient Scaling: Docker allows for efficient scaling of applications, enabling organizations to scale up or down based on demand without incurring additional infrastructure costs.
Isolation: Docker containers encapsulate applications and their dependencies, creating isolated environments. This ensures that the application runs consistently across different environments, eliminating the “it works on my machine” problem.
Reproducibility: By using Docker images, developers can reproduce the same environment every time, making it easier to replicate development, testing, and production setups.
Multi-Platform Support: Docker containers can run on various platforms, including Linux, Windows, and macOS. This cross-platform compatibility allows developers to build and deploy applications on different operating systems without modification.
Cloud Agnostic: Docker containers can be deployed on any cloud platform (e.g., AWS, Azure, Google Cloud) that supports Docker. This flexibility enables a multi-cloud strategy and avoids vendor lock-in.
GoNiña
GoNiña is a platform with web and mobile apps which connects restaurants, bakeries, supermarkets and other food vendors with consumers to save surplus food.
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