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@frankel@mastodon.top
2025-12-06 09:30:05

You Want Microservices, But Do You Really Need Them?
docker.com/blog/do-you-really-

You Want Microservices—But Do You Need Them? | Docker
Before you default to microservices, weigh hidden costs and consider a modular monolith or SOA. Learn when Docker delivers consistency and scale—without sprawl.

@arXiv_csSE_bot@mastoxiv.page
2025-10-06 09:38:19

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
Rita Peixoto, Filipe F. Correia, Thatiane Rosa, Eduardo Guerra, Alfredo Goldman
arxiv.org/abs/2510.03050

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
As organizations increasingly transition from monolithic systems to microservices, they aim to achieve higher availability, automatic scaling, simplified infrastructure management, enhanced collaboration, and streamlined deployments. However, this migration process remains largely manual and labour-intensive. While existing literature offers various strategies for decomposing monoliths, these approaches primarily focus on architecture-level guidance, often overlooking the code-level challenges …

@hex@kolektiva.social
2025-12-01 11:09:47

Taking notes from the successes and failures of the Russian revolution, a group of anarchists (including Nestor Makhno, a Ukrainian anarchist militant who was critical in defeating the Tzar's army and who later also fought the Red Army) wrote a document titled the "Organizational Platform of the Libertarian Communists." This document came to be known as "The Platform." It remains one of the most important first-hand revolutionary documents, outlining a clear revolutionary plan.
I've taken this, the Viable System Model from cybernetics, and my own organizing experience, to describe an organization to confront the current set of crises.
This continues to build on the stuff I have been writing, but it's a lot less high level theory and a lot more specific.
anarchoccultism.org/building-z
As always, editing notes (typos, grammar, spelling, etc) are always welcome, as are any questions. My ADHD brain tends to go a lot faster than anything else, so I have a tendency to drop words and have a lot of trouble catching them later. Between my ADHD and mild dyslexia, it can be pretty hard for me to catch when autocorrect gives me the wrong word.
A lot of folks have already been super helpful in offering their editing support, and I'm really grateful. Writing this has felt collaborative, and it should. On the one hand this comes from my own experience and research, but on the other I'm also voicing things that have come from conversations here. This has all been a bit of my voice and a bit of the federated world, and I'm really appreciating that.

@arXiv_csSE_bot@mastoxiv.page
2025-10-06 08:36:39

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices
Majid Dashtbani, Ladan Tahvildari
arxiv.org/abs/2510.02585 arxiv.…

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices
Microservices have become the dominant architectural paradigm for building scalable and modular cloud-native systems. However, achieving effective auto-scaling in such systems remains a non-trivial challenge, as it depends not only on advanced scaling techniques but also on sound design, implementation, and deployment practices. Yet, these foundational aspects are often overlooked in existing benchmarks, making it difficult to evaluate autoscaling methods under realistic conditions. In this pap…

@arXiv_csCR_bot@mastoxiv.page
2025-10-08 09:48:59

SBOMproof: Beyond Alleged SBOM Compliance for Supply Chain Security of Container Images
Jacopo Bufalino, Mario Di Francesco, Agathe Blaise, Stefano Secci
arxiv.org/abs/2510.05798

SBOMproof: Beyond Alleged SBOM Compliance for Supply Chain Security of Container Images
Supply chain security is extremely important for modern applications running at scale in the cloud. In fact, they involve a large number of heterogeneous microservices that also include third-party software. As a result, security vulnerabilities are hard to identify and mitigate before they start being actively exploited by attackers. For this reason, governments have recently introduced cybersecurity regulations that require vendors to share a software bill of material (SBOM) with end users or…

@arXiv_csIR_bot@mastoxiv.page
2025-10-07 09:32:52

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration
David Rogers, Valerio Mariani, Cong Wang, Ryan Coffee, Wilko Kroeger, Murali Shankar, Hans Thorsten Schwander, Tom Beck, Fr\'ed\'eric Poitevin, Jana Thayer
arxiv.org/abs/2510.04012

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration
We describe a new end-to-end experimental data streaming framework designed from the ground up to support new types of applications -- AI training, extremely high-rate X-ray time-of-flight analysis, crystal structure determination with distributed processing, and custom data science applications and visualizers yet to be created. Throughout, we use design choices merging cloud microservices with traditional HPC batch execution models for security and flexibility. This project makes a unique con…

@arXiv_csSE_bot@mastoxiv.page
2025-10-01 10:56:47

UniSage: A Unified and Post-Analysis-Aware Sampling for Microservices
Zhouruixing Zhu, Zhihan Jiang, Tianyi Yang, Pinjia He
arxiv.org/abs/2509.26336

UniSage: A Unified and Post-Analysis-Aware Sampling for Microservices
Traces and logs are essential for observability and fault diagnosis in modern distributed systems. However, their ever-growing volume introduces substantial storage overhead and complicates troubleshooting. Existing approaches typically adopt a sample-before-analysis paradigm: even when guided by data heuristics, they inevitably discard failure-related information and hinder transparency in diagnosing system behavior. To address this, we introduce UniSage, the first unified framework to sample …

@arXiv_csRO_bot@mastoxiv.page
2025-09-24 10:37:44

Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations
Lukas Zanger, Bastian Lampe, Lennart Reiher, Lutz Eckstein
arxiv.org/abs/2509.18793

Application Management in C-ITS: Orchestrating Demand-Driven Deployments and Reconfigurations
Vehicles are becoming increasingly automated and interconnected, enabling the formation of cooperative intelligent transport systems (C-ITS) and the use of offboard services. As a result, cloud-native techniques, such as microservices and container orchestration, play an increasingly important role in their operation. However, orchestrating applications in a large-scale C-ITS poses unique challenges due to the dynamic nature of the environment and the need for efficient resource utilization. In…

@dawid@social.craftknight.com
2025-10-20 17:57:05
@… Yyy, it took me a while too - quite large tutorial on udemy, long hours of try and error with Gatsby, but on the end it finally clicked with Tauri as gui for some of my Rust learning projects :)

Once it clicked first time - I started using it everywhere as I found idea behind very clever and I see it as frontend microservices :D

The…
@arXiv_csIR_bot@mastoxiv.page
2025-09-30 09:38:21

WARBERT: A Hierarchical BERT-based Model for Web API Recommendation
Zishuo Xu, Yuhong Gu, Dezhong Yao
arxiv.org/abs/2509.23175 arxiv.org/pd…

WARBERT: A Hierarchical BERT-based Model for Web API Recommendation
With the emergence of Web 2.0 and microservices architecture, the number of Web APIs has increased dramatically, further intensifying the demand for efficient Web API recommendation. Existing solutions typically fall into two categories: recommendation-type methods, which treat each API as a label for classification, and match-type methods, which focus on matching mashups through API retrieval. However, three critical challenges persist: 1) the semantic ambiguities in comparing API and mashup d…