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Microservices Architecture

Information Technology > Cloud computing platforms

Description

Microservices Architecture is a design approach in software development where an application is built as a collection of small, independent services. Each microservice runs its own process and communicates with others using protocols such as HTTP/HTTPS. They are typically organized around business capabilities and can be developed using different programming languages. Microservices can be deployed independently, which allows for continuous integration and delivery. This architecture style also enhances the scalability and resilience of applications. Understanding Microservices Architecture involves knowledge of various technologies including RESTful APIs, containerization tools like Docker, orchestration tools like Kubernetes, and various database technologies.

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

At this level, individuals have a basic understanding of Microservices Architecture and related concepts such as RESTful APIs, JSON/XML data formats, and HTTP/HTTPS protocols. They are aware of the principles of software development but may not have hands-on experience yet.

🌱
LEVEL 2

Novice

Novices can design simple microservices and have knowledge of at least one programming language used for microservice development. They understand containerization with Docker and have a basic grasp of service orchestration with Kubernetes. They also know how to use version control systems like Git.

🌍
LEVEL 3

Intermediate

Intermediate-level individuals have experience in designing and developing complex microservices. They understand service discovery mechanisms and API gateways. They have experience with database technologies and understand both synchronous and asynchronous communication between services. They can implement basic security measures.

⭐
LEVEL 4

Advanced

Advanced individuals are proficient in multiple programming languages for microservice development. They have experience with advanced containerization and orchestration techniques. They can design and implement complex service discovery mechanisms and work with advanced database technologies. They understand advanced security measures and can implement CI/CD pipelines for microservices.

🏆
LEVEL 5

Expert

Experts excel in designing and implementing highly scalable and resilient microservices. They have a deep understanding of microservices patterns and anti-patterns. They are experienced with advanced security and authentication mechanisms. They can optimize performance and resource usage of microservices, implement advanced CI/CD techniques, and mentor others in microservices architecture.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Awareness of the concept of service-oriented architecture
Basic understanding of the benefits and drawbacks of microservices
Familiarity with the concept of loose coupling and high cohesion
Understanding of what an API is
Familiarity with the principles of REST
Awareness of HTTP methods (GET, POST, PUT, DELETE)
Understanding of what JSON and XML are
Ability to read and understand basic JSON and XML structures
Awareness of when to use JSON or XML
Understanding of what HTTP and HTTPS are
Basic knowledge of how data is transferred over the internet
Familiarity with the concept of secure data transfer
Awareness of software development life cycle
Understanding of coding best practices
Familiarity with the concept of version control
🌱
LEVEL 2

Novice

Identifying business capabilities
Decomposing by business capability
Defining service interfaces
Managing shared resources
Understanding of data hiding
Implementing encapsulation in chosen language
Understanding of getters and setters
Knowledge of public, private, and protected modifiers
Understanding of interface definition
Implementing interfaces in chosen language
Understanding of interface segregation principle
Knowledge of how to use interfaces for decoupling
Identifying dependencies between services
Understanding of dependency inversion principle
Managing and minimizing dependencies
Knowledge of circular dependencies and how to avoid them
Knowledge of variables and data types
Understanding of control structures (loops, conditionals)
Knowledge of functions and methods
Understanding of classes and objects
Writing functions with parameters and return values
Understanding of function scope
Creating classes with properties and methods
Understanding of object instantiation
Understanding of try-catch blocks
Implementing error handling in chosen language
Knowledge of common exceptions and errors
Understanding of exception propagation
Knowledge of unit testing
Writing simple test cases
Understanding of test-driven development
Knowledge of testing frameworks for chosen language
Understanding of Dockerfile syntax
Defining a container image with a Dockerfile
Building an image from a Dockerfile
Understanding of multi-stage builds
Creating and running a container from an image
Understanding of container lifecycle
Inspecting containers and images
Managing containers and images
Running containers with docker run
Building images with docker build
Managing containers with docker ps, docker stop, etc.
Managing images with docker images, docker rmi, etc.
Understanding of Docker Compose files
Running multi-container applications with docker-compose up
Managing applications with docker-compose down, docker-compose logs, etc.
Defining and managing networks and volumes with Docker Compose
Knowledge of master and worker nodes
Understanding of Kubernetes API
Knowledge of etcd
Understanding of control plane components (kube-scheduler, kube-controller-manager, cloud-controller-manager)
Creating and managing Pods
Understanding of Pod lifecycle
Creating and managing Services
Understanding of Service types (ClusterIP, NodePort, LoadBalancer, ExternalName)
Getting cluster information with kubectl cluster-info
Managing Pods and Services with kubectl get, kubectl describe, etc.
Creating and deleting resources with kubectl apply, kubectl delete, etc.
Debugging with kubectl logs, kubectl exec, etc.
Writing a basic manifest in YAML or JSON
Understanding of apiVersion, kind, metadata, and spec fields
Creating resources from a manifest with kubectl apply
Understanding of Labels and Selectors
Initializing a repository with git init
Staging changes with git add
Committing changes with git commit
Viewing history with git log
Writing meaningful commit messages
Understanding of commit hashes
Reverting changes with git revert
Amending commits with git commit --amend
Creating branches with git branch
Switching branches with git checkout
Merging branches with git merge
Understanding of merge conflicts and how to resolve them
Cloning a repository with git clone
Pushing changes with git push
Pulling changes with git pull
Understanding of remote tracking branches
🌍
LEVEL 3

Intermediate

Understanding of domain-driven design
Knowledge of service boundaries identification
Experience with stateless and stateful services
Familiarity with service registry tools
Understanding of client-side and server-side service discovery
Understanding of the role of API gateways in microservices architecture
Experience with popular API gateway tools
Understanding of data persistence patterns in microservices
Experience with database partitioning strategies
Knowledge of HTTP/REST and messaging protocols
Understanding of event-driven architecture
Understanding of OAuth2.0 flow
Experience with JSON Web Tokens
Knowledge of SSL/TLS
⭐
LEVEL 4

Advanced

Ability to write efficient code in Java
Understanding of Python's asynchronous features
Experience with Node.js event-driven architecture
Knowledge of Go's concurrency model
Familiarity with .NET Core for microservices
Proficiency in Dockerfile writing and image optimization
Understanding of Kubernetes networking and storage
Experience with service mesh technologies (Istio, Linkerd)
Knowledge of Helm for package management
Familiarity with cloud-native solutions (AWS EKS, Google GKE, Azure AKS)
🏆
LEVEL 5

Expert

Understanding of redundancy and replication strategies
Experience with health checks and monitoring tools
Understanding of failover strategies
Knowledge of different types of load balancers
Experience with load balancing algorithms
Understanding of horizontal and vertical scaling
Ability to set up and configure auto-scaling rules
Understanding of circuit breaker and bulkhead patterns
Knowledge of retry and fallback strategies

Skill Overview

  • Expert4 years experience
  • Micro-skills128
  • Roles requiring skill1

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