Serverless architectures offer automatic scaling and pay-per-use
pricing, which can provide real benefits for many applications. While serverless does eliminate
server management overhead, it comes with trade-offs including cold start latency, platform
dependencies, and different debugging approaches for distributed workflows. Despite the "no
servers" marketing, you're still running on infrastructure - you're just delegating the management to your cloud
provider. That said, when implemented thoughtfully, serverless can deliver genuine benefits for specific use
cases.
I'm able to design and implement serverless architectures using Azure Functions,
event-driven patterns, and message-based systems that provide automatic
scaling and reduced operational overhead - when the workload actually suits this approach. From simple
trigger-based functions to complex event-driven workflows, the focus is on building systems
that handle varying loads efficiently while maintaining observability. This includes
understanding when serverless isn't the right choice and when a traditional hosted approach might be more
predictable and cost-effective. The goal is creating solutions that integrate well with cloud services while
avoiding the trap of forcing every problem into a serverless-shaped solution.