An architectural style that structures an application as a collection of loosely coupled services, enhancing scalability and flexibility.

A platform that enables developers to automate the deployment of applications within lightweight containers, ensuring consistency across environments.

An open-source orchestration system for automating the deployment, scaling, and management of containerized applications.

The method by which different software components interact, crucial for microservices to exchange data and functionality.

The capability of a system to handle a growing amount of work or its potential to accommodate growth.

The encapsulation of an application and its dependencies into a container, allowing for consistent execution across various environments.

A script containing a series of instructions on how to build a Docker image, defining the application environment.

The process of breaking down an application into smaller, manageable services, each responsible for a specific function.

A traditional model where an application is built as a single unified unit, making it less flexible than microservices.

The distribution of network or application traffic across multiple servers to ensure no single server becomes overwhelmed.

The process of adding more machines or instances to handle increased load, as opposed to upgrading existing hardware.

Increasing the capacity of existing hardware or virtual machines to improve performance.

A development practice where code changes are automatically tested and merged into a shared repository frequently.

A software release process where code changes are automatically deployed to production after passing CI tests.

An architectural style for designing networked applications, using HTTP requests to access and manipulate data.

Read-only templates used to create containers, containing everything needed to run an application.

A set of nodes (machines) that run containerized applications managed by Kubernetes.

The process of continuously observing the performance and health of applications and infrastructure.

Techniques aimed at improving the speed and efficiency of applications, especially under load.

Measures taken to protect APIs from malicious attacks and unauthorized access.

Methods for releasing new versions of applications, including blue-green and canary deployments.

Comprehensive information about the system, including architecture, APIs, and deployment processes, essential for maintainability.

Delivery of computing services over the internet, allowing for flexible resources and scalability.

Practical implementations of theoretical concepts in actual business scenarios, demonstrating their effectiveness.

A collection of projects showcasing an individual's skills and experience in building scalable applications.