Serverless

Eliminate Cold Starts by Predicting Invocations of Serverless Functions

Azure Functions introduce a data-driven strategy to pre-warm serverless applications right before the next request comes in

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Serverless in the Wild: Azure Functions Production Usage Statistics

Insightful statistics about the actual production usage of Azure Functions, based on the data from Microsoft's paper

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InfiniCache: Distributed Cache on Top of AWS Lambda (paper review)

My review of the paper "InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache"

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Hosting Azure Functions in Google Cloud Run

Running Azure Functions Docker container inside Google Cloud Run managed service

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Serverless Containers with Google Cloud Run

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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Provisioned Concurrency: Avoiding Cold Starts in AWS Lambda

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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Choosing the Best Deployment Tool for Your Serverless Applications

Factors to consider while deploying cloud infrastructure for serverless apps.

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How To Deploy a Function App with KEDA (Kubernetes-based Event-Driven Autoscaling)

Hosting Azure Functions in Kubernetes: how it works and the simplest way to get started.

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Ten Pearls With Azure Functions in Pulumi

Ten bite-sized code snippets that use Pulumi to build serverless applications with Azure Functions and infrastructure as code.

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Load-Testing Azure Functions with Loader.io

Verifying your Function App as a valid target for the cloud load testing.

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Globally-distributed Serverless Application in 100 Lines of Code. Infrastructure Included!

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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Serverless as Simple Callbacks with Pulumi and Azure Functions

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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Reducing Cold Start Duration in Azure Functions

The influence of the deployment method, application insights, and more on Azure Functions cold starts.

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Concurrency and Isolation in Serverless Functions

Exploring approaches to sharing or isolating resources between multiple executions of the same cloud function and the associated trade-offs.

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Serverless at Scale: Serving StackOverflow-like Traffic

Scalability test for HTTP-triggered serverless functions across AWS, Azure and GCP

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A Fairy Tale of F# and Durable Functions

How F# and Azure Durable Functions make children happy (most developers are still kids at heart)

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Making Sense of Azure Durable Functions

Why and How of Stateful Workflows on top of serverless functions

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From 0 to 1000 Instances: How Serverless Providers Scale Queue Processing

Comparison of queue processing scalability for FaaS across AWS, Azure and GCP

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Azure Functions V2 Is Released, How Performant Is It?

Comparison of performance benchmarks for Azure Functions V1 and V2

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Serverless: Cold Start War

Comparison of cold start statistics for FaaS across AWS, Azure and GCP

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AWS Lambda Warmer as Pulumi Component

Preventing cold stats of AWS Lambda during longer periods of inactivity, implemented as a reusable Pulumo component

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Getting Started with AWS Lambda in Pulumi

Provisioning AWS Lambda and API Gateway with Pulumi, examples in 5 programming languages

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Cold Starts Beyond First Request in Azure Functions

Can we avoid cold starts by keeping Functions warm, and will cold starts occur on scale out? Let's try!

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Azure Functions: Cold Starts in Numbers

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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