At ShitOps, meeting our stringent Service Level Agreements (SLAs) is critical to maintaining trust and delivering exceptional business value. To this end, we embarked on an ambitious project to design a cutting-edge, reliable, and highly automated infrastructure solution that seamlessly integrates requirement management and network orchestration.
The Challenge: SLA-Driven Requirement Management and Network Automation¶
Our business requires a dynamically adaptable infrastructure that can automatically respond to changing requirement specifications and drive network configurations that guarantee SLA adherence. Specifically, we needed a solution that could:
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Translate business requirements into actionable network policies.
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Orchestrate private VLANs to isolate traffic and enhance security and compliance.
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Provide polymorphic interfaces for requirement management to adapt to multiple business contexts.
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Leverage modern APIs and query languages enabling robust automation.
The Solution: Polymorphic GraphQL Fabric over Private VLAN Moons¶
We conceived a multilayered solution that combines polymorphic GraphQL fabrics with private VLAN moon orchestration:
1. Polymorphic GraphQL Fabric¶
We designed a GraphQL fabric that acts as a polymorphic API gateway, dynamically adapting its schema and resolvers based on the contextual requirement set. This fabric interfaces with requirement management tools and abstracts diverse business requirements into a unified API that our automation systems consume.
This approach allows us to mask the complexity of various business scenarios and expose a flexible endpoint for automation scripts.
2. Private VLAN Moon Orchestration¶
To handle the network side, we developed the "Moon" orchestration layer. This layer controls private VLANs using an advanced fabric overlay network that encapsulates VLAN configurations within multiple virtualized fabric segments we call "moons."
Each "moon" corresponds to a tenant-specific isolated environment compliant with strict SLA parameters and enables rapid provisioning and rollback capabilities.
3. Integration and Automation¶
The polymorphic GraphQL fabric triggers automation workflows in the moon orchestration layer whenever requirement changes occur. Using an event-driven architecture with serverless functions and message queues, we automate provisioning, network policy enforcement, and SLA verification.
System Architecture Flow¶
Technology Stack¶
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GraphQL Fabric: Custom polymorphic schema builder with Apollo Federation extensions.
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Private VLAN Moons: Built atop OpenStack Neutron with custom SDN plugins.
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Automation: AWS Lambda-driven event orchestration using Apache Kafka queues.
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Requirement Management: Integrated with Jira and Confluence using custom webhooks.
Benefits¶
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Guarantees SLA adherence through automated enforcement.
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Highly flexible business requirement adaptation via polymorphism.
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Isolated, compliant network segments per business context.
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Robust observability and detailed telemetry at every stage.
Conclusion¶
Our integration of polymorphic GraphQL fabrics with private VLAN moon orchestration revolutionizes our SLA-driven automation capabilities. This fabric-moon paradigm ensures business agility, network reliability, and compliance while seamlessly handling complex requirements with automation.
At ShitOps, we relentlessly push the envelope of engineering ingenuity to offer our clients the most dependable and forward-thinking solutions for their evolving business needs.
Comments
TechEnthusiast42 commented:
Fascinating approach combining GraphQL with private VLAN orchestration. I'm particularly interested in how the polymorphic GraphQL fabric adapts schemas dynamically. Could Fritz elaborate on the challenges faced in implementing the Apollo Federation extensions for polymorphic schemas?
Fritz Overclock (Author) replied:
Great question! One of the main challenges was maintaining schema consistency across diverse business contexts. We had to implement custom validation layers to ensure polymorphic schemas don't break federation integrity while still allowing flexibility.
NetworkGuru commented:
The idea of 'Private VLAN Moons' sounds intriguing! Does the moon orchestration layer allow for live migration of VLANs between moons without downtime?
Fritz Overclock (Author) replied:
Absolutely, live migration is a key feature. Our moon orchestration supports VLAN state replication and seamless handover during migration to avoid any service interruption.
DevOpsDiva commented:
Integrating Jira and Confluence with custom webhooks for requirement management is smart. I wonder how scalable this solution is when dealing with thousands of concurrent requirement changes. Are there any bottlenecks?
Fritz Overclock (Author) replied:
We've designed the event orchestrator with scalability in mind, leveraging Kafka's distributed messaging capabilities and AWS Lambda's serverless scaling. While the system performs well under heavy loads, monitoring and fine-tuning are ongoing efforts.
SecuritySage commented:
I appreciate the focus on isolated, compliant network segments per tenant. How do you handle multi-tenant security in the polymorphic GraphQL fabric and the moon orchestration to prevent cross-tenant data leakage?
Fritz Overclock (Author) replied:
Security is paramount. We enforce strict access controls at GraphQL schema and resolver levels, combined with tenant-specific authorization tokens. On the network side, VLAN segmentation within moons ensures layer 2 isolation, effectively preventing cross-tenant leaks.
CuriousCat commented:
Could someone explain in simpler terms how polymorphic GraphQL fabrics are better than traditional REST APIs for automation?
Fritz Overclock (Author) replied:
Sure! Polymorphic GraphQL fabrics allow the API to flex and change depending on context, unlike REST which has fixed endpoints. This flexibility helps automation systems handle different scenarios using one adaptable API rather than multiple rigid ones.
TechEnthusiast42 replied:
That makes sense. It sounds like a more dynamic and maintainable approach.