Cloud

Running containers on AWS without managing servers uses Amazon ECS Fargate. Running containers on Kubernetes uses Amazon EKS. The choice between them is the central platform decision — and it is not about capability but about operational complexity your team is willing to own. Fargate removes all cluster management. EKS gives you the full Kubernetes ecosystem at the cost of cluster operations.

Data streaming on AWS ingests, processes, and delivers high-velocity data in real time without storing it first. Amazon Kinesis handles real-time streams with sub-second latency. Amazon MSK provides managed Apache Kafka for teams needing the Kafka protocol and ecosystem. Kinesis Data Firehose delivers streams to storage destinations with zero administration. The choice between Kinesis and MSK is primarily about protocol compatibility and ecosystem requirements.

Event-driven architecture on AWS decouples producers from consumers using fully managed messaging services, enabling systems to scale independently, evolve without coordination, and recover from failures without cascading impact. AWS provides a layered set of native services — EventBridge, SQS, SNS, and Lambda — that together implement the full event-driven pattern without managing any infrastructure.

A production AWS account without a security baseline is a breach waiting to occur. The AWS security stack — GuardDuty, Security Hub, Config, WAF, CloudTrail, and IAM — provides defence-in-depth across threat detection, posture management, compliance, application layer protection, audit, and access control. Each one addresses a distinct attack surface that the others do not cover, and a production workload needs all of them.

Serverless on AWS removes infrastructure management from the engineering team entirely. Lambda executes code in response to events without provisioning or managing servers. API Gateway provides a fully managed HTTP layer. Step Functions orchestrates multi-step workflows as state machines. Together they deliver applications that scale from zero to millions of requests with no capacity planning and billing only for actual execution time.

The AWS Well-Architected Framework provides a structured approach to evaluating cloud architectures across six pillars. It is not a checklist to complete once at launch — it is a continuous review discipline applied throughout the delivery lifecycle. Understanding the framework gives architects a common vocabulary, a defensible decision record, and a methodology for identifying risk before it becomes an incident.

Running containers on Azure without managing Kubernetes complexity uses Azure Container Apps. Running containers on Kubernetes with full cluster control uses Azure Kubernetes Service (AKS). The choice between them is the central platform decision — and it is not about capability but about the operational surface your team is willing to own. Container Apps abstracts away node pools, autoscaling, and cluster upgrades. AKS gives you the complete Kubernetes ecosystem at the cost of owning the cluster operations layer.

Data streaming on Azure ingests, processes, and delivers high-velocity data in real time without storing it first. Azure Event Hubs handles millions of events per second with Kafka protocol compatibility and configurable retention up to 90 days. Azure Stream Analytics provides managed real-time processing with SQL-like windowing semantics and no infrastructure to operate. Azure Data Factory covers batch ELT between Data Lake and Synapse when sub-second latency is not required. The choice between these services is primarily about latency requirements, protocol compatibility, and whether workloads need the Kafka ecosystem without code changes.

Event-driven architecture on Azure decouples producers from consumers using fully managed messaging services, enabling systems to scale independently, evolve without coordination, and recover from failures without cascading impact. Azure provides a layered set of native services — Event Grid, Service Bus, and Event Hubs — that together implement the full event-driven pattern without managing any infrastructure.

A production Azure environment without a security baseline exposes four distinct attack surfaces simultaneously: the identity plane where workload credentials leak, the network perimeter where PaaS services accept public traffic, the data layer where secrets live in plain application settings, and the operations plane where misconfigurations accumulate undetected. Microsoft Entra ID, Azure Key Vault, Azure Private Link, Azure Policy, and Microsoft Defender for Cloud each address one or more of these surfaces — and a mature baseline demands all of them working in concert under a Zero Trust posture.

Serverless on Azure removes infrastructure management from the engineering team. Azure Functions executes event-driven code without provisioning servers, with the Consumption plan scaling to zero and billing per invocation, and the Premium plan eliminating cold starts for latency-sensitive workloads. Azure Container Apps extends serverless to arbitrary containers via managed Kubernetes and KEDA-based autoscaling. Azure API Management provides a unified front door with rate limiting, authentication, and routing across all backend compute surfaces.

The Azure Well-Architected Framework provides a structured approach to evaluating cloud architectures across five pillars. It is not a compliance exercise completed once before go-live — it is a continuous review discipline applied throughout the delivery lifecycle. Running the Azure Well-Architected Review at project start, before go-live, and annually gives architects a common vocabulary, a defensible decision record, and a methodology for identifying risk before it becomes an incident.