MindMap Gallery Spring Cloud Knowledge Framework
This is a mind map about the Spring Cloud knowledge framework, which mainly includes: future trends and challenges, best practices and case analysis, deployment and operation and maintenance, Spring Cloud components, and microservice architecture.
Edited at 2025-02-16 12:30:33This is a mind map about the annual work plan of the three pillars of human resources. The main contents include: strategic human resources planning, talent recruitment and allocation, employee performance management, employee training and development, employee relationships and communication, employee welfare and care, human resources information system construction, regulatory compliance and risk management, and organizational culture construction.
This is a mind map for the diagnosis and treatment of acute cerebral hemorrhage in patients with hemodialysis. The annual incidence of acute cerebral hemorrhage in patients with hemodialysis is (3.0~10.3)/1000, and the main cause is hypertension. Compared with non-dialysis patients, the most common bleeding site is the basal ganglia area, accounting for 50% to 80%; but the bleeding volume is large and the prognosis is poor, and the mortality rate is 27% to 83%. Especially for patients with hematoma >50ml, hematoma enlarged or ventricular hemorrhage on the second day after onset, the prognosis is very poor.
The logic is clear and the content is rich, covering many aspects of the information technology field. Provides a clear framework and guidance for learning and improving information technology capabilities.
This is a mind map about the annual work plan of the three pillars of human resources. The main contents include: strategic human resources planning, talent recruitment and allocation, employee performance management, employee training and development, employee relationships and communication, employee welfare and care, human resources information system construction, regulatory compliance and risk management, and organizational culture construction.
This is a mind map for the diagnosis and treatment of acute cerebral hemorrhage in patients with hemodialysis. The annual incidence of acute cerebral hemorrhage in patients with hemodialysis is (3.0~10.3)/1000, and the main cause is hypertension. Compared with non-dialysis patients, the most common bleeding site is the basal ganglia area, accounting for 50% to 80%; but the bleeding volume is large and the prognosis is poor, and the mortality rate is 27% to 83%. Especially for patients with hematoma >50ml, hematoma enlarged or ventricular hemorrhage on the second day after onset, the prognosis is very poor.
The logic is clear and the content is rich, covering many aspects of the information technology field. Provides a clear framework and guidance for learning and improving information technology capabilities.
Spring Cloud Knowledge Framework
Microservice architecture
Definition and Advantages
The architectural style of distributed systems
Each service is deployed, expanded and upgraded independently
Microservice components
Service registration and discovery
Eureka
Service Registration Center
Registration and discovery of service instances
Consul
Support health checkups
Supports multi-data centers
Service Configuration Management
Spring Cloud Config
Centralized configuration management
Supports configuration version management
Archaius
Dynamic configuration management
Integration with Netflix's toolchain
Service gateway
Zuul
Routing Forwarding
Filters realize safety, monitoring and other functions
Spring Cloud Gateway
Building based on Spring WebFlux
Asynchronous non-blocking processing
Circuit Breaker Mode
Hystrix
Prevent service avalanches
Provide a fallback mechanism
Resilience4j
Lightweight circuit breaker implementation
Support functional programming
Distributed tracking
Sleuth
Integrate Zipkin for link tracking
Logging service call link
Zipkin
Data collection and visualization
Supports multiple storage backends
Message-driven
Spring Cloud Stream
Differences in abstract message middleware
Build a message-driven microservice
RabbitMQ
Message queue implementation
Supports multiple messaging protocols
Kafka
High throughput messaging system
Supports data distribution in distributed systems
Spring Cloud Components
Eureka
Service registration and discovery mechanism
Client load balancing
Ribbon
Client Load Balancer
Supports multiple load balancing strategies
Feign
Declarative REST Client
Simplify HTTP client calls
Hystrix
Circuit breaker mode implementation
Provide service downgrade and circuit breaker mechanisms
Turbine
Aggregate multiple Hystrix Dashboard data
Centrally monitor Hystrix metrics
Bus
Message bus
Dynamically refresh configuration information
Config Server
Centralized configuration management services
Supports configuration version control
Gateway
Next Generation API Gateway
Built based on WebFlux, performance improvement
Sleuth
Service link tracking
Integrate with Zipkin to provide a visual interface
Deployment and operation and maintenance
Docker containerization
Lightweight virtualization technology
Rapid deployment and scaling services
Kubernetes
Container orchestration platform
Manage the life cycle of containerized applications
CI/CD pipeline
Continuous integration and continuous deployment
Automated testing and deployment processes
Monitoring and logging
Prometheus
Monitoring systems and time series databases
Support multi-dimensional data collection
Grafana
Data visualization tools
Showcase the data collected by Prometheus
ELK Stack
Log collection, storage and analysis
Elasticsearch, Logstash, Kibana combination
Best Practices and Case Study
Service Splitting Strategy
Split by business area
Split by data model
Service Governance
Service registration and discovery management
Dynamic update of service configuration
Fault Tolerance and Recovery
Achieve high availability of services
Rapid failure recovery mechanism
Performance optimization
Service call optimization
Resource usage optimization
Security Policy
Security of inter-service communication
Certification and authorization mechanism
Case study
E-commerce platform microservice architecture
Financial system microservice practice
Microservice transformation of internal systems of large enterprises
Future trends and challenges
The combination of microservices and serverless
Advantages of serverless architecture
Application of microservices in Serverless environment
Service Mesh
Istio
Implementation of service mesh
Provides service discovery, load balancing and other functions
Linkerd
Lightweight service mesh
Easy to deploy and manage
Multi-cloud and hybrid cloud strategy
Deploy services across multiple cloud platforms
Deployment of cloud-native applications in hybrid cloud environments
The challenge of microservice architecture
Complexity management
Management complexity caused by the increase in the number of services
Data consistency
Distributed database transaction processing
Monitoring and Diagnosis
Cross-service monitoring and problem diagnosis
Security Question
Communication security between microservices
Improvement of service certification and authorization mechanism