Engineering Insights
Insights
Technical writing from Azteron engineers on microservice architecture, cloud-native systems, AI integration, and the engineering decisions that define production systems.
ArchitectureWhy Getting Service Boundaries Wrong Is Worse Than Staying with the Monolith
The most expensive microservice mistake is not picking the wrong framework — it is drawing the wrong boundaries. Here is how to think about them correctly.
Cloud InfrastructureKubernetes in Production: What Most Teams Miss Before Going Live
Running Kubernetes in a lab and running it in production are two different disciplines. This is what separates clusters that hold up from clusters that surprise you at the worst time.
AI EngineeringRAG in Production: The Architecture Decisions That Actually Matter
Retrieval-augmented generation systems fail in production for predictable architectural reasons. This is how to design them correctly from the start.
ArchitectureEvent-Driven Architecture: The Tradeoffs Nobody Tells You About
Event-driven systems unlock real engineering capabilities — but they come with a specific set of complexity costs that need to be understood before adoption.
DevOpsInfrastructure as Code Is Not a Tool Choice — It Is a Discipline
Most teams adopt Terraform or Pulumi and call it IaC. The ones that get it right understand it as an engineering practice, not a tooling decision.
AI EngineeringDesigning a Latency Budget for LLM-Powered Features
LLM inference is slow relative to traditional API calls. Building products on top of it requires explicit latency budget design — not hoping the model responds fast enough.
ArchitectureMulti-Tenant SaaS Architecture: The Design Decisions That Determine How Far You Can Scale
Multi-tenancy is not a feature you add — it is an architectural property of the entire system. The decisions made in the first few months of a SaaS product define the ceiling for how far the platform can scale.
Real-Time SystemsWebSocket at Scale: What Changes When You Have 100,000 Concurrent Connections
Maintaining a WebSocket connection is architecturally different from serving HTTP requests. At scale, that difference determines whether your real-time system holds up or becomes your most expensive operational problem.
ArchitectureThe Hidden Costs of Database-per-Service in Microservice Architectures
Database-per-service is the right default for microservices — but it introduces costs that teams underestimate until they are operating the system in production.
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