Managed Cloud Primitives as Architectural Building Blocks
Assemble enterprise architectures: When to use managed cloud primitives (DynamoDB, SQS, S3, Aurora Serverless) vs self-hosting on Kubernetes, and the vendor lock-in reality.
01.1. The Build vs Buy Calculus & Total Cost of Ownership (TCO)
A foundational concept in enterprise architecture is Undifferentiated Heavy Lifting (a phrase coined by AWS): tasks that consume vast engineering hours but create zero distinct business value for customers.
The Total Cost of Ownership (TCO) Equation:
TCO = Cloud Infrastructure Invoices + Human SRE/DBA Salaries + Downtime Revenue Losses
The Hidden Cost of Self-Hosting Stateful Infrastructure:
Running stateful engines (PostgreSQL, Kafka, Redis, Elasticsearch) on raw EC2 VMs or Kubernetes sounds cheaper on raw hourly compute invoices. However, self-hosting requires:
- Dedicated SRE & DBA Engineering Headcount: Hiring, training, and retaining a 24/7 on-call DBA team to manage multi-datacenter failover scripts, Raft consensus quorums, disk repartitioning, and database kernel security patches.
- Failover & Split-Brain Risks: Building custom high-availability voting scripts that risk catastrophic split-brain data corruption during network partitions.
- Backup Verification: Manually writing and testing point-in-time recovery (PITR) scripts.
In contrast, paying a modest cloud provider markup on managed services (Amazon RDS Aurora, Amazon MSK, AWS ElastiCache) completely eliminates this operational burden, delivering enterprise-grade 99.99\% multi-AZ reliability with continuous automated backups.
Self-Hosted vs Fully Managed Cloud Primitives ☁️
Self-Hosted vs Fully Managed Cloud Primitives ☁️
The operational maintenance burden of self-hosting stateful engines vs the rapid engineering velocity of managed cloud primitives.
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