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Why Serverless?
Evolution of computingServer → Virtual Machines → ContainersCost control, maximizing utilization of resource by having a better granularity Ease of operation, VMs and containers are software-based so could be automated easily Data Center → Cloud → Managed → ServerlessScalability, to support rapid growth of business in time Shift of focus, companies should invest more resources on serving customers, not worrying about IT infrastructure and operation Cost control, on-demand or pay-per-use means no need to predict and provision, cost follows actual business volume closely Ease of operation, no physical servers and data centers, limited software operations, completely no server to manage Serverless prosPay only for what you use, not for the idle time No servers, no software operations, user only focuses on most basic parameters, code and architecture User automatically gain good security, auto scaling, monitoring, logging Serverless consRequires learning and adopting a new paradigm that is still developingDevelopment and deployment Architecture patterns Best practices When business is highly stable, the cost of serverless services may be higher than other implementations Tight coupling with vendors
Implications of Serverless
Serverless promotes new way of thinking about IT resourcesAlmost zero start cost, so starting a project, a startup, an innovation project is a no-brainer, no approval or internal process needed Not need to pay for idle resources, so a service could be built, and put there without cost Instant service resurrection, although you are not paying for idle resources, when there are new requests coming in, they will be served timely Serverless was created based on the hypothesisCompanies need to innovate quickly Innovations are highly unpredictable and volatile …if these do not hold then serverless is not valuable
AWS Serverless Services
Serverless ComputeLambda Pay by per 100ms of execution time + very low per request cost Serverless API Gateway Serverless Message Queue Serverless NoSQL DatabaseNOTE: Databases will store data, and by the definition of persistent storage it cannot be fully serverless. User will need to pay for the storage as long as it is used. DynamoDB Aurora Serverless Serverless Notification Serverless Log CollectionNOTE: Similar to databases, logging services will store logs and incur storage cost. Also note we see a blurred line of Serverless and SaaS in the case of log collection. CloudWatch Logs Serverless Event Bus Serverless ToolsServerless Application Model (SAM)
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