Brewing Microservices

We discuss the Nimbus paper, serverless, and how to perform local development with serverless.

Show Notes

Nimbus: Improving the Developer Experience for Serverless Applications
Nimbus at ICSE
ICSE NIER CfP
Nimbus: Improving the Developer Experience for Serverless Applications [preprint]
Nimbus: Improving the Developer Experience for Serverless Applications [video]
Towards a Solution to the Red Wedding Problem
Reactive Machine [GitHub]
Durable functions: semantics for stateful serverless
Netherite: efficient execution of serverless workflows
Formal foundations of serverless computing
A Language-based Serverless Function Accelerator
Firecracker: Lightweight Virtualization for Serverless Applications
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications
Palette Load Balancing: Locality Hints for Serverless Functions
Cold Start in Serverless Computing: Current Trends and Mitigation Strategies
Prebaking Functions to Warm the Serverless Cold Start
WLEC: A Not So Cold Architecture to Mitigate Cold Start Problem in Serverless Computing

Creators & Guests

Host
Christopher Meiklejohn
Christopher is a Ph.D. candidate in Software Engineering at Carnegie Mellon University. Before starting his Ph.D., he worked on a variety of distributed systems at Basho Technologies, Mesosphere, and Machine Zone.
Host
David Justo
David is a software engineer at Microsoft in the Azure Functions group. He is mostly focused on the multi-language experience for Durable Functions, where he gets to put on his PL hat to annoy his co-workers with requests to add support for Haskell. Before joining Microsoft, he was an MS student at UC San Diego, where he did research on Programming Languages and Databases.

What is Brewing Microservices?

A podcast discussing everything cloud computing, serverless, microservices, and distributed systems that, each episode, starts with a discussion of a single academic paper and expands out to related academic research and industrial products and systems.