Serverless
AWS Lambda launches support for packaging and deploying functions as container images
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Azure Functions introduce a data-driven strategy to pre-warm serverless applications right before the next request comes in
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Insightful statistics about the actual production usage of Azure Functions, based on the data from Microsoft's paper
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My review of the paper "InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache"
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Running Azure Functions Docker container inside Google Cloud Run managed service
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Google Cloud Run is the latest addition to the serverless compute family. While it may look similar to existing services of public cloud, the feature set makes Cloud Run unique.
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AWS recently announced the launch of Provisioned Concurrency, a new feature of AWS Lambda that intends to solve the problem of cold starts.
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Factors to consider while deploying cloud infrastructure for serverless apps.
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Hosting Azure Functions in Kubernetes: how it works and the simplest way to get started.
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Ten bite-sized code snippets that use Pulumi to build serverless applications with Azure Functions and infrastructure as code.
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Verifying your Function App as a valid target for the cloud load testing.
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Building a serverless application on Azure with both the data store and the HTTP endpoint located close to end users for fast response time.
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The simplest way to take a Node.js function and deploy it to Azure cloud as an HTTP endpoint using Pulumi.
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The influence of the deployment method, application insights, and more on Azure Functions cold starts.
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Exploring approaches to sharing or isolating resources between multiple executions of the same cloud function and the associated trade-offs.
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Scalability test for HTTP-triggered serverless functions across AWS, Azure and GCP
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How F# and Azure Durable Functions make children happy (most developers are still kids at heart)
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Why and How of Stateful Workflows on top of serverless functions
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Comparison of queue processing scalability for FaaS across AWS, Azure and GCP
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Comparison of performance benchmarks for Azure Functions V1 and V2
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Comparison of cold start statistics for FaaS across AWS, Azure and GCP
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Preventing cold stats of AWS Lambda during longer periods of inactivity, implemented as a reusable Pulumo component
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Provisioning AWS Lambda and API Gateway with Pulumi, examples in 5 programming languages
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Can we avoid cold starts by keeping Functions warm, and will cold starts occur on scale out? Let's try!
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Auto-provisioning and auto-scalability are the killer features of Function-as-a-Service cloud offerings, and Azure Functions in particular.
One drawback of such dynamic provisioning is a phenomenon called “Cold Start”.
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