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Learning Lambda — Part 9

Mike Roberts

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Finally I mention Lambda’s limited, but not trivial, vertical scaling capability.

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Learning Lambda — Part 9

Mike Roberts

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Finally I mention Lambda’s limited, but not trivial, vertical scaling capability.

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re:Invent Serverless Talks — Serverless SaaS Deep Dive

Stackery

and the actual application services; in this case, a Lambda Function. He explained that tenant organization is critical: you don’t want to rewrite your entire app because you added other supporters as tenants in a disorganized fashioned. tenant context, role, etc) Custom authorizer Lambda. Onboarding and Identity. Bear with me….

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

A critical feature for every developer however is to get instantaneous feedback like configuration validations or performance metrics, as well as previewing data transformations for each step of their data flow. DataFlow Functions provides an efficient, cost optimized, scalable way to run data flows in a completely serverless fashion.

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Examining the AWS Serverless Application Repository

Mike Roberts

The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Finally, SAR isn’t just the “Lambda Blueprints” catalogue rebranded?—?it’s the Serverless Application Repository (SAR)?—?at at re:Invent 2017. it’s much more than that.

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Examining the AWS Serverless Application Repository

Mike Roberts

The general goal of SAR is to make it easier to distribute, and consume, applications that have been developed using AWS Serverless products, like Lambda. Finally, SAR isn’t just the “Lambda Blueprints” catalogue rebranded?—?it’s the Serverless Application Repository (SAR)?—?at at re:Invent 2017. it’s much more than that.

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Ask Miss O11y: Do I Need Observability If My Stack Is Boring?

Honeycomb

Microservices, cloud native, polyglot persistence … dynamic, ephemeral components, elastic provisioning, third-party services, Lambda functions and serverless APIs … all of these trends are driving system complexity up and up, forcing more and more of the application logic into the realm of operational trade-offs. For instance: .