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MICROSERVICES#1

An architectural style that structures an application as a collection of loosely coupled services, each responsible for a specific function.

DOCKER#2

A platform for developing, shipping, and running applications in containers, ensuring consistency across different environments.

KUBERNETES#3

An open-source container orchestration platform that automates deployment, scaling, and management of containerized applications.

API DESIGN#4

The process of defining the methods and data formats that applications use to communicate with each other, focusing on usability and efficiency.

CONTAINERIZATION#5

The practice of packaging an application and its dependencies into a container, allowing it to run consistently across various environments.

ORCHESTRATION#6

The automated management of containerized applications, including deployment, scaling, and networking, often using tools like Kubernetes.

RESTFUL API#7

An architectural style for designing networked applications using stateless communication and standard HTTP methods.

SERVICE DISCOVERY#8

A mechanism that enables services to find and communicate with each other in a microservices architecture.

LOAD BALANCING#9

Distributing network or application traffic across multiple servers to ensure reliability and performance.

SCALABILITY#10

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

MONOLITHIC ARCHITECTURE#11

A traditional software architecture where all components are interconnected and interdependent, making scaling and updates challenging.

API GATEWAY#12

A server that acts as an intermediary for requests from clients seeking access to backend services, often handling routing and security.

BLUE-GREEN DEPLOYMENT#13

A deployment strategy that reduces downtime by running two identical production environments, allowing seamless transitions.

CANARY RELEASE#14

A strategy for rolling out new features to a small subset of users before a full-scale release, minimizing risk.

DISTRIBUTED TRACING#15

A method for tracking requests as they flow through a microservices architecture, aiding in performance monitoring and debugging.

PROMETHEUS#16

An open-source monitoring system and time series database designed for reliability and scalability.

DOCKERFILE#17

A text document containing all commands to assemble an image for a Docker container, defining the environment and application.

MULTI-CONTAINER APPLICATIONS#18

Applications that consist of multiple interacting containers, often managed with Docker Compose for orchestration.

VERSIONING#19

The practice of managing changes to APIs, ensuring backward compatibility and smooth transitions for users.

SECURITY BEST PRACTICES#20

Guidelines for protecting APIs and microservices from unauthorized access and ensuring data integrity.

MONITORING#21

The continuous observation of a system's performance and health, crucial for maintaining application reliability.

LOAD TESTING#22

Simulating high traffic on a system to evaluate its performance under stress, ensuring it can handle expected loads.

CLOUD COMPUTING#23

The delivery of computing services over the internet, enabling scalable resources and applications.

DEVOPS#24

A set of practices that combines software development and IT operations, enhancing collaboration and productivity.

MICROSERVICES PATTERNS#25

Common design strategies and best practices for building microservices, addressing challenges like data management and service communication.