Tootfinder

AWS Lambda Managed Instances: Serverless, only with servers!
Would like to see some app scenarios with detailed cost breakdown.
https://aws.amazon.com/blogs/aws/introducing-aws-lambda-managed-instances-serverless-si…

Introducing AWS Lambda Managed Instances: Serverless simplicity with EC2 flexibility | Amazon Web Services
Run Lambda functions on EC2 compute while maintaining serverless simplicity—enabling access to specialized hardware and cost optimizations through EC2 pricing models, with AWS handling all infrastructure management.

»Akamai kauft WebAssembly-Spezialisten Fermyon:
Der Cloud- und Cybersecurity-Anbieter Akamai Technologies will mit der Akquisition des Serverless-Spezialisten Fermyon seine Edge-Computing-Strategie ausbauen. Im Fokus steht die WebAssembly-basierte Function-as-a-Service-Technologie.«
Schon länger ist WebAssembly (@…) im Aufwind, nun aber auch umf…

Akamai kauft WebAssembly-Spezialisten Fermyon
Akamai Technologies will mit der Akquisition des Serverless-Spezialisten Fermyon seine Edge-Computing-Strategie ausbauen.

Railway is technically a PaaS (like Heroku). “serverless” because you don’t have to maintain the operating system. They have evolved buildpacks to Railpacks which will create containers on the fly.
OR you can use it as a Docker host
They are hosting their own bare metal servers. Recommended!
https://…

dan (@danabra.mov)
i'm highly enjoying using railway.app i think instead of starting with serverless, it would be good for many developers to start with Railway and then try serverless. i feel a lot more comfortable understanding the tradeoffs now https://railway.app

Towards Energy-Efficient Serverless Computing with Hardware Isolation
Natalie Carl, Tobias Pfandzelter, David Bermbach
https://arxiv.org/abs/2510.08180 https://

Towards Energy-Efficient Serverless Computing with Hardware Isolation
Serverless computing provides just-in-time infrastructure provisioning with rapid elasticity and a finely-grained pricing model. As full control of resource allocation is in the hands of the cloud provider and applications only consume resources when they actually perform work, we believe that serverless computing is uniquely positioned to maximize energy efficiency. However, the focus of current serverless platforms is to run hundreds or thousands of serverless functions from different tenan…

Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
https://arxiv.org/abs/2510.02404

Dynamic Function Configuration and its Management in Serverless Computing: A Taxonomy and Future Directions
The serverless cloud computing model offers a framework where the service provider abstracts the underlying infrastructure management from developers. In this serverless model, FaaS provides an event-driven, function-oriented computing service characterised by fine-grained, usage-based pricing that eliminates cost for idle resources. Platforms like AWS Lambda, Azure Functions, and Cloud Run Functions require developers to configure their function(s) with minimum operational resources for its su…

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Yanying Lin, Shijie Peng, Chengzhi Lu, Chengzhong Xu, Kejiang Ye
https://arxiv.org/abs/2510.11938

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Serving Large Language Models (LLMs) in production faces significant challenges from highly variable request patterns and severe resource fragmentation in serverless clusters. Current systems rely on static pipeline configurations that struggle to adapt to dynamic workload conditions, leading to substantial inefficiencies. We present FlexPipe, a novel system that dynamically reconfigures pipeline architectures during runtime to address these fundamental limitations. FlexPipe decomposes models i…

Lumos: Performance Characterization of WebAssembly as a Serverless Runtime in the Edge-Cloud Continuum
Cynthia Marcelino, Noah Krennmair, Thomas Pusztai, Stefan Nastic
https://arxiv.org/abs/2510.05118 …

Lumos: Performance Characterization of WebAssembly as a Serverless Runtime in the Edge-Cloud Continuum
WebAssembly has emerged as a lightweight and portable runtime to execute serverless functions, particularly in heterogeneous and resource-constrained environments such as the Edge Cloud Continuum. However, the performance benefits versus trade-offs remain insufficiently understood. This paper presents Lumos, a performance model and benchmarking tool for characterizing serverless runtimes. Lumos identifies workload, system, and environment-level performance drivers in the Edge-Cloud Continuum. W…

Next-Generation Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration Across Messaging Frameworks
Jahidul Arafat, Fariha Tasmin, Sanjaya Poudel, Ahsan Habib Tareq
https://arxiv.org/abs/2510.04404

Next-Generation Event-Driven Architectures: Performance, Scalability, and Intelligent Orchestration Across Messaging Frameworks
Modern distributed systems demand low-latency, fault-tolerant event processing that exceeds traditional messaging architecture limits. While frameworks including Apache Kafka, RabbitMQ, Apache Pulsar, NATS JetStream, and serverless event buses have matured significantly, no unified comparative study evaluates them holistically under standardized conditions. This paper presents the first comprehensive benchmarking framework evaluating 12 messaging systems across three representative workloads: e…