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Distributed Cluster Architecture for Unlimited Horizontal Scaling

JitAi enables seamless scaling from single-node deployments to large-scale enterprise cluster architectures through hierarchical management of teams, nodes, runtime environments, and applications, delivering comprehensive resource scheduling and load balancing capabilities.

Understanding the four-layer architecture model

Teams can encompass multiple nodes, with each node participating in multiple runtime environments. Runtime environments can span multiple nodes and host multiple application deployments.

Designing enterprise cluster deployment architecture

Implementing typical deployment topology

Teamanizing multi-dimensional environment division

Runtime environments support flexible organization across multiple dimensions to accommodate complex enterprise deployment requirements:

Classification DimensionEnvironment ExamplesUse Cases
By StageDevelopment, Testing, ProductionStandard software development process
By BusinessE-commerce, Payment, LogisticsBusiness module isolation
By CustomerCustomer A, Customer B, DemoMulti-tenant deployment
By PurposePerformance Testing, Security TestingSpecialized testing requirements

Configuring entry address strategies

Entry Point Configuration Examples:

Runtime EnvironmentPrimary Entry PointBackup Entry PointPort
Development Environmentdev.company.comdev2.company.com:8080
Testing Environmenttest.company.comstaging.company.com:8081
Production Environmentcompany.combackup.company.com:80
Customer A Environmenta.company.coma1.company.com:8082
Demo Environmentdemo.company.com-:8083

Implementing cluster scaling strategies

Deploying horizontal scaling modes

Node-level scaling

  • Add physical or virtual nodes to expand cluster capacity
  • Enable automatic load balancing and intelligent request distribution
  • Support cross-regional node deployment for geographic redundancy

Environment-level scaling

  • Create new runtime environments on existing infrastructure
  • Enable dynamic environment migration and seamless replication
  • Achieve business isolation and optimize resource utilization

Application-level scaling

  • Deploy identical applications across multiple environments
  • Support version parallelism and canary release strategies
  • Ensure high availability and comprehensive disaster recovery

Implementing load balancing and fault tolerance

Multi-node load balancing

  • Intelligent request routing and dynamic distribution
  • Continuous node health monitoring and automatic failover
  • Advanced weight configuration and granular traffic control

Environment-level fault tolerance

  • Complete fault isolation between runtime environments
  • Proactive fault detection and automated recovery systems
  • Robust data backup and real-time synchronization mechanisms

Understanding architecture constraints and best practices

Managing version constraints

ScenarioRuleStatusDescription
Different applications in same environmentAny version combination✅ AllowedE.g.: Development environment deploys Application A v1.0 and Application B v2.1 simultaneously
Same application in different environmentsDifferent version deployment✅ AllowedE.g.: Development environment deploys Application A v1.0, production environment deploys Application A v1.1
Same application in same environmentMultiple versions coexist❌ ProhibitedOnly one version of the same application can exist in the same environment

Configuring network access constraints

Operation TypeRule DescriptionStatusExample
Multi-address configurationConfigure multiple entries for one environment✅ AllowedProduction environment: app.com + backup.app.com
Dynamic modificationModify environment entry at runtime✅ AllowedTemporarily switch domain names or add backup entries
Address sharingMultiple environments share the same entry❌ ProhibitedTwo environments cannot use test.com simultaneously
Conflict detectionSystem automatically detects conflicts🔍 AutomaticReal-time conflict checking and prompting during configuration

Following deployment best practices

Version management

  • Utilize distinct environments for comprehensive application version testing
  • Achieve seamless application version upgrades through strategic environment switching
  • Establish clear version naming conventions and standardized release specifications

Network configuration

  • Implement meaningful domain prefixes for clear environment identification
  • Configure redundant entry addresses for critical production environments
  • Minimize modifications to production environment entry addresses for stability

Resource planning

  • Strategically allocate node resources based on comprehensive business load analysis
  • Conduct regular evaluations and proactive adjustments of environment configurations
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