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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.