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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 3

Embedded Systems · 5

Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 5

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Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv8/10/2026
Recently

From Values to Benchmarks: Evaluating Large Language Models for Governmental Use in Dutch

Large language models are increasingly being deployed in governmental settings, yet few existing evaluation frameworks jointly reflect the values of public administration and the linguistic requirements of non-English contexts. We present the "Grip on LLMs" framework, a systematic evaluation suite for Dutch governmental use developed in collaboration with domain experts from a major Dutch municipal organisation. Through an advisory board process, user research, and a survey of the users of a civil-servant chatbot, we identify six evaluation dimensions (factuality, honesty, social bias, energy consumption, cost, and training data transparency) and operationalise them into a benchmark suite covering more than 30 multilingual and Dutch-specific models. Authors: Laurens Samson, Iva Gornishka, Gossa Lô.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Large language models are increasingly being deployed in governmental settings, yet few existing evaluation frameworks jointly reflect the values of public administration and the linguistic requirements of non-English contexts.

Primary paperarxivcs.CL
Original
Artificial Intelligence / Machine Learning
arXiv8/10/2026
Recently

GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis

Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict physical consistency must be enforced. We present GENCO (GEometric Neural Corrective Optimizer), a unified neural solver for steady-state transmission grid analysis that handles power flow (PF), optimal power flow (OPF), and state estimation (SE) within a single architecture and shared network representation. To support advances in neural power system solvers, we introduce the open-source GridFM Development Framework, which standardizes synthetic data generation and training in a low-code environment. Authors: Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict physical consistency must be enforced.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv8/10/2026
Recently

Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions

Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Models (Audio-LLM) judges) are expected to reflect human perception, yet it is unclear how well they capture the distinct aspects of speech that listeners actually perceive. We deconstruct "naturalness" into a linguistically grounded annotation schema spanning 10 distinct perceptual dimensions, and use it to construct the first dimension-level meta-evaluation benchmark for TTS, comprising 860 utterances annotated by trained linguist raters. Results from benchmarking four MOS predictors and four Audio-LLM judges reveal that MOS predictors collapse onto acoustic signal quality, while Audio-LLM judges show selective, prompt-dependent detection that does not generalise across all dimensions. Authors: Oluwanifemi Bamgbose, Simon Rosen, Jash Shah.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Models (Audio-LLM) judges) are expected to reflect human perception, yet it is unclear how well they capture the distinct aspects of speech that listeners actually perceive.

Primary paperarxivcs.SD
Original
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog8/10/2026
Recently

Run Local Agentic AI Workflows with Meta's Muse Glimmer on NVIDIA

Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI... Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI agentic work.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI...

Official source
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Artificial Intelligence / Machine Learning
OpenAI Blog8/10/2026
Recently

Expanding Daybreak as the Cyber Defense Window Narrows

6-Cyber, OpenAI's cybersecurity-specific model available through Daybreak Red for authorized vulnerability research, exploit validation, and security testing.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: 6-Cyber, OpenAI's cybersecurity-specific model available through Daybreak Red for authorized vulnerability research, exploit validation, and security testing.

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/10/2026
Recently

ArchAgent v2: A Case Study with the Data Prefetching Championship

Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar techniques to computer microarchitecture discovery remains challenging due to vast search spaces, strict hardware budgets, and long simulation times. In this work, we present ArchAgent v2, a framework which scales automated microarchitecture search to multi-level data prefetching. While the original ArchAgent successfully discovered single-level cache replacement policies in competition settings, it does not scale to multi-level prefetching where the design space and degrees of freedom are larger. Authors: Abraham Gonzalez, Raghav Gupta, Akanksha Jain.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Agentic artificial intelligence has shown great promise in automating algorithm design, but scaling similar techniques to computer microarchitecture discovery remains challenging due to vast search spaces, strict hardware budgets, and long simulation times.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/10/2026
Recently

CEAA: A Cognitive Embodied Agents Architecture for Interactive Computing Systems

The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interactive virtual environments remains a challenge, even with today's advancements in technology. Existing architectures are often focused on either the implementation of low-level reactive control systems that are constrained by commercial game engines, or high-level representations of reasoning models that can be difficult to implement in virtual worlds. This paper builds on that notion and proposes a modular cognitive architecture for deploying embodied IVAs. Authors: Aimilios Hadjiliasi, Louis Nisiotis.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: The development of embodied Intelligent Virtual Agents (IVAs) that have cognitive capabilities in real-time interactive virtual environments remains a challenge, even with today's advancements in technology.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/10/2026
Recently

Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy

Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of such systems has largely focused on execution rather than verifying the feasibility actions planning models propose. Like general-purpose LLMs, robotics planning models carry risks: biased toward user-specified goals, they may suggest actions misaligned with scientific ethics, they may be unsafe due to an inability to "remember" prior safety risks, or they may be vulnerable to adversarial attacks on the autonomy ecosystem. We propose a LLM-driven verification layer between planning and execution to evaluate action permissibility. Authors: Rohan Bhagra, Mahantesh Halapannavar, Uddhav Bhattarai.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Advances in advanced artificial intelligence tools have sparked research in robot autonomy, but the development of such systems has largely focused on execution rather than verifying the feasibility actions planning models propose.

Primary paperarxivcs.RO
Original
Automation / Agentic Systems
arXiv8/10/2026
Recently

SHE: Trajectory-driven Safety Harness Evolution for LLM Agents

The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that manages context, memory, tools, permissions, and runtime control. Existing safety mechanisms often treat the harness as a fixed deployment artifact, limiting their ability to evolve with emerging risks. Moreover, coupled functions across harness components obscure safety responsibility attribution, making localized evolution difficult. Authors: Wanying Qu, Qinghua Mao, Yu Li.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that manages context, memory, tools, permissions, and runtime control.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/10/2026
Recently

DSLE: A Learning Environment for Dark Souls Boss Encounters

We introduce the Dark Souls Learning Environment (DSLE), a containerized platform that presents all 22 boss encounters of Dark Souls: Remastered as game-playing agent benchmarks through a Gymnasium-style interface. DSLE combines real-time combat, high-dimensional visual input, and sparse terminal rewards, with each environment step being a real action executed against the running game. To support controlled comparison, we define DSLE-5, a representative five-boss subset, spanning a melee fight, a spatially constrained arena, an environmental-hazard fight, a multi-target fight, and a fast final-boss fight, that we recommend as the starting suite for agents built on DSLE. Authors: Derin Gezgin, Jim O'Connor, Tanner Goodwin.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We introduce the Dark Souls Learning Environment (DSLE), a containerized platform that presents all 22 boss encounters of Dark Souls: Remastered as game-playing agent benchmarks through a Gymnasium-style interface.

Primary paperarxivcs.AI
Original

Archived section

Research Papers · 3

Research Papers
arXiv8/10/2026
Recently

Generative AI for Encrypted Traffic Analysis: Synthetic Dataset Generation and Classifier Evaluation

Network traffic analysis faces significant challenges with encrypted communications, primarily due to limited visibility into packet contents and the inherent imbalance in available datasets, particularly for anomalous traffic patterns. This paper addresses these challenges by exploring Generative AI (GAI) techniques to create realistic and balanced synthetic encrypted traffic datasets. Our approach incorporates feature analysis, clustering-based data generation, and comprehensive classifier evaluation to ensure synthetic data quality. Authors: Harshil Patel, Himanshu Garg, Aswani Kumar Cherukuri.

Why it matters

Read this for the paper's specific claim in Research Papers: Network traffic analysis faces significant challenges with encrypted communications, primarily due to limited visibility into packet contents and the inherent imbalance in available datasets, particularly for anomalous traffic patterns.

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/10/2026
Recently

A Bird's-Eye View on Security Considerations in RFCs

Request for comments (RFCs) are Internet standards, memorandums, and related technical documents about core Internet protocols made via and released by the Internet Engineering Task Force (IETF). In the early 1990s each RFC was required to have a section for security considerations. The present work examines these sections. Authors: Jukka Ruohonen, Qusai Ramadan.

Why it matters

Read this for the paper's specific claim in Research Papers: Request for comments (RFCs) are Internet standards, memorandums, and related technical documents about core Internet protocols made via and released by the Internet Engineering Task Force (IETF).

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/10/2026
Recently

WhichTok? Comparing Three TikTok Data Acquisition Tools

TikTok's global growth has made it a prime platform for both entertainment and political discourse, prompting increased social science research. However, this rapidly evolving research field faces a fundamental reproducibility crisis. TikTok's opaque algorithmic systems hinder researchers from drawing meaningful empirical inferences, while the lack of standardized data collection methods compounds these challenges. Authors: Gayoung Jeon, Cameron Moy, Silvia Teliz.

Why it matters

Read this for the paper's specific claim in Research Papers: TikTok's global growth has made it a prime platform for both entertainment and political discourse, prompting increased social science research.

Primary paperarxivcs.SI
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/10/2026
Recently

RoboSeg: Online Part-Level Semantic Reconstruction for Robotic Manipulation via a Single Eye-in-Hand Camera

Robotic manipulation requires perception systemsthat identify actionable parts such as handles, rims, triggers,and tool tips, not merely object categories or point clouds. This paper presents RoboSeg, a part-level semantic reconstructionsystem that links vision-language model (VLM) functional-partdiscovery, asynchronous online RGB-D semantic reconstruc-tion, and task-oriented grasp generation without requiring CAD models or pre-scanned meshes. RoboSeg queries a VLM onthe initial RGB observation to obtain compact functional part prompts, then scans with two asynchronous streams: a high-frequency geometry thread for RGB-D odometry and truncated signed distance function (TSDF) fusion, and a keyframe-triggered semantic thread for SAM3 part masks. Authors: Zhaochen Lan, Mengxiang Lin.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Robotic manipulation requires perception systemsthat identify actionable parts such as handles, rims, triggers,and tool tips, not merely object categories or point clouds.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv8/10/2026
Recently

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment

Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M evaluation environments requires O(NM) separate integrations. We present XPolicyLab, a unified standard and open ecosystem that reduces this cost to O(N+M). XPolicyLab specifies common observation, action, and trajectory schemas together with a minimal adapter interface for observation updates, action prediction, batched execution, and episode reset, while a dependency-isolated client/server architecture separates policy inference from environment execution, so that each side retains its native software stack and may run locally or remotely. Authors: XPolicyLab Community, Tianxing Chen, Yue Chen.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M evaluation environments requires O(NM) separate integrations.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io8/10/2026
Recently

The ESP32 Bit Pirate Project Gets In-Browser Web App Support, LoRa Mode — And Promises More to Come

The ESP32 Bit Pirate project, an effort by pseudonymous developer "Geo TP" to turn Espressif ESP32-powered devices into Dangerous Prototypes' Bus Pirate-style debugging and development devices, is now usable from the browser — and its developer has plans for a "broader ecosystem" to come. "ESP32 Bit Pirate turns compatible ESP32 boards into a practical multi-protocol workbench for electronics learning, firmware exploration, debugging, and repeatable hardware tests," Geo TP explains of the project. " The project began life back in August last year as the ESP32 Bus Pirate firmware, inspired by Ian Lesnet's popular Bus Pirate family of devices but targeting low-cost off-the-shelf Espressif ESP32-powered development boards rather than custom-built hardware.

Why it matters

Read this for the engineering context in Embedded Systems: The ESP32 Bit Pirate project, an effort by pseudonymous developer "Geo TP" to turn Espressif ESP32-powered devices into Dangerous Prototypes' Bus Pirate-style debugging and development devices, is now usable from the browser — and its developer has plans for a "broader ecosystem" to come.

Trusted source
Original
Embedded Systems
arXiv8/10/2026
Recently

RoSE: A Robotic Soft Esophagus for Endoprosthetic Stent Testing

Soft robotic systems are well suited for developing devices for biomedical applications. A bio-mimicking robotic soft esophagus (RoSE) is developed as an in vitro testing device of endoprosthetic stents for dysphagia management. Endoprosthetic stent placement is an immediate and cost-effective therapy for dysphagia caused by malignant esophageal strictures from esophageal cancer. Authors: Dipankar Bhattacharya, Sherine Jesna V. A., Leo K. Cheng.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Soft robotic systems are well suited for developing devices for biomedical applications.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io8/8/2026
Recently

A Wearable Ultrasound Patch That Supercharges REM Sleep

Sleep trackers have become commonplace, but they only tell you how well you slept after the fact. If researchers at the University of Texas at Austin have their way, future wearable sleep technology might actively improve your sleep while you wear it. Their new experimental device, called NEUSLeeP, is a soft bioelectronic patch that combines focused ultrasound with brain activity monitoring to increase REM sleep without medication or invasive surgery.

Why it matters

Read this for the engineering context in Embedded Systems: Sleep trackers have become commonplace, but they only tell you how well you slept after the fact.

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Archived section

Computer Systems · 5

Computer Systems
arXiv8/10/2026
Recently

Performance and Cost-Aware Cache Provisioning

1% of the dataset - and measure the resulting hit rate, practical edge-cloud deployments require balancing both storage and computational overhead as billed resources. Consequently, system operators frequently focus on a different objective: determining the minimum cache size needed to satisfy a specific Service-Level Objective (SLO) hit-rate. This paper explores this SLO-centric paradigm by analyzing the minimum capacity and execution time each policy requires to hit a defined target. Authors: Ridwanul Tanvir, George Kesidis.

Why it matters

Read this for the paper's specific claim in Computer Systems: 1% of the dataset - and measure the resulting hit rate, practical edge-cloud deployments require balancing both storage and computational overhead as billed resources.

Primary paperarxivcs.PF
Original
Computer Systems
LWN.net8/10/2026
Recently

Even more formal verification for BPF

BPF offers useful safety guarantees, but Kumar Kartikeya Dwivedi wants BPF programs to be even safer. At the 2026 Linux Storage, Filesystem, Memory-Management, and BPF Summit, he led a session (slides) discussing the possibility of adding domain-specific invariants to BPF programs. It was not a discussion intended to lead to the implementation of any particular kernel feature, but rather an overview of why additional formal verification might be needed, and how it could work with the existing BPF ecosystem.

Why it matters

Read this for the concrete reporting in Computer Systems: BPF offers useful safety guarantees, but Kumar Kartikeya Dwivedi wants BPF programs to be even safer.

Trusted source
Original
Computer Systems
arXiv8/10/2026
Recently

Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach

, A and B, providing an efficient way to fine-tune large models in federated learning paradigm. Inspired by the asymmetric roles of the LoRA factors, we study whether A should be shared across clients while B remains client-specific (Share-A/Local-B), or whether B should instead be shared while A remains client-specific (Share-B/Local-A). With a least-squares surrogate, we reveal that Share-A/Local-B requires the client-specific LoRA update matrices to use a common rank-r input-side space, whereas Share-B/Local-A requires a common rank-r output-side space. Authors: Xinyi Xu, Bingnan Xiao, Shuang Qin.

Why it matters

Read this for the paper's specific claim in Computer Systems: , A and B, providing an efficient way to fine-tune large models in federated learning paradigm.

Primary paperarxivcs.LG
Original
Computer Systems
Hackaday8/9/2026
Recently

Hackaday Links: August 9, 2026

Bad news for anyone who was hoping for some relief from the memory shortage — Digitimes is reporting that the production capacity of major players such as Samsung, Micron, and …read more

Why it matters

Read this for the engineering context in Computer Systems: Bad news for anyone who was hoping for some relief from the memory shortage — Digitimes is reporting that the production capacity of major players such as Samsung, Micron, and …read more

Trusted sourceHackaday ColumnsHackaday links
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Computer Systems
arXiv8/10/2026
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Certified Split Windows for Parallel Lexing: Recovering Boundaries Where No Byte Certifies

03473). We generalize from a byte to a bounded window: a byte string after which the position where the current token began is known, regardless of surrounding context. We certify the directly usable form of that recovery: the token covering the window's final byte begins at the reported origin. Authors: Nicklas Nidhögg.

Why it matters

Read this for the paper's specific claim in Computer Systems: We generalize from a byte to a bounded window: a byte string after which the position where the current token began is known, regardless of surrounding context.

Primary paperarxivcs.FL
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv8/10/2026
Recently

Detecting Behavioral Changes in Python Refactoring Implementations with Foundation Models

Python is a widely adopted programming language, valued for its simplicity and flexibility. However, automated refactoring for Python remains challenging, even though refactoring is an essential practice in software evolution aimed at improving internal code structure without changing external behavior. Understanding how behavioral changes are introduced during refactoring is crucial, as such issues can compromise software reliability and reduce developer productivity. Authors: Jonhnanthan Oliveira, Rohit Gheyi, Márcio Ribeiro.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Python is a widely adopted programming language, valued for its simplicity and flexibility.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Vercel Blog8/10/2026
Recently

Vercel Sandbox now runs on Vercel Managed Images

Today we are introducing Vercel Managed Images (VMI), a set of versioned, open-source base images you can use as-is or extend. vercel/sandbox Managed images replace Sandbox runtimes, which are now deprecated. Starting with version 3 of the Sandbox SDK, new sandboxes default to.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Today we are introducing Vercel Managed Images (VMI), a set of versioned, open-source base images you can use as-is or extend.

Official source
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Developer Tools / Open Source
GitHub Engineering8/10/2026
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Using the GitHub Copilot SDK for Java

Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more. The post Using the GitHub Copilot SDK for Java appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more.

Official sourceAI & MLEngineering
Original
Developer Tools / Open Source
arXiv8/10/2026
Recently

Comprehending Python Repetition Structures: An Eye-Tracking Study with Novice Developers

Code comprehension is central to software maintenance and evolution, yet different Python repetition structures may impose distinct cognitive demands. We conducted a controlled eye-tracking experiment with 32 undergraduate students with prior Python experience to compare comprehension of for loops, while loops, recursion, and list comprehensions (LCs). Participants solved six comprehension tasks in a Latin Square design while we measured completion behavior and eye-tracking metrics over full snippets and construct-specific Areas of Interest (AOIs). Authors: José Júnior Silva da Costa, Rohit Gheyi, José Aldo Silva da Costa.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Code comprehension is central to software maintenance and evolution, yet different Python repetition structures may impose distinct cognitive demands.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
Hackaday8/11/2026
Recently

The Code The British Government Doesn't Want You To See (Any More)

Governments like to do things which at least sound open and honest. It makes them look like Thoroughly Good Eggs, when maybe the truth might be a little murkier.

Why it matters

Read this for the engineering context in Developer Tools / Open Source: Governments like to do things which at least sound open and honest.

Trusted sourceSoftware Hacksgithub
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Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
arXiv8/9/2026
Recently

C2C-Explorer: An Exploration Framework for Chip-to-Chip Interconnect Architectures in LLM Cloud Computing Systems

The scaling-up of large language models (LLMs) necessitates computing systems to have multi-processor-chip architectures, elevating the importance of chip-to-chip (C2C) communication. However, designing efficient C2C hardware architectures for LLM workloads faces three key challenges: generating realistic LLM-specific C2C traffic, accurately simulating hardware-level communication at scale, and efficiently exploring the exponentially large C2C design space. We propose C2C-Explorer, an adaptive Bayesian DSE framework that integrates a LLM-workload-driven traffic generator, a scalable interconnect simulator (switch/full-mesh, up to 512 chips), and a metric-guided evaluator into a workload-to-hardware optimization pipeline, enabling systematic C2C architectural co-design under realistic LLM workloads. Authors: Jiayi Li, Di Wu, Qingxu Li.

Why it matters

Read this for the paper's specific claim in Cloud / Infrastructure: The scaling-up of large language models (LLMs) necessitates computing systems to have multi-processor-chip architectures, elevating the importance of chip-to-chip (C2C) communication.

Primary paperarxivcs.DC
Original
Cloud / Infrastructure
CNCF Blog8/11/2026
Recently

A practical guide to solving when zero+zero=two in mesh observability

A Service Mesh like Istio, together with Kiali gives you a lot on day one. You install the mesh, point Prometheus at it, and suddenly you have request rate, latency, error rate, and a fairly good...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: A Service Mesh like Istio, together with Kiali gives you a lot on day one.

Official sourceBlog
Original
Cloud / Infrastructure
CNCF Blog8/10/2026
Recently

CNCF Reveals KubeCon + CloudNativeCon North America 2026 Schedule, Adds New AI Inference + Agentic Track

Flagship event returns November 9–12 with sessions on production AI, platform engineering and cloud native security Key Highlights SAN FRANCISCO, Aug. 7, 2026 – The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Flagship event returns November 9–12 with sessions on production AI, platform engineering and cloud native security Key Highlights SAN FRANCISCO, Aug.

Official sourceAnnouncements
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Cloud / Infrastructure
CNCF Blog8/10/2026
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Learning Cloud-Native Engineering Beyond Tutorials Through LFX

I joined the LFX mentorship expecting to spend three months writing documentation. A few weeks later, I was deploying OpenTelemetry Collectors across AWS EC2 instances, debugging networking problems between machines, and trying to understand why a...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: I joined the LFX mentorship expecting to spend three months writing documentation.

Official sourceBlog
Original
Cloud / Infrastructure
arXiv8/10/2026
Recently

How Accurately Can the Energy Use of Spark Applications Be Estimated Based on Resource Utilisation?

Distributed batch data processing applications are widely executed on cloud-based resources where restricted user access to node-level hardware energy counters hinders transparent sustainability accounting. Energy and carbon attribution methodologies therefore depend on power models and available resource utilisation traces, yet the accuracy of these estimates has to be validated while direct counters are available. In this work, we use Apache Spark running on Kubernetes as a case-study dataflow runtime and cluster resource manager to compare model-based energy estimates to Intel RAPL package and DRAM energy on an AWS bare-metal cloud and an on-premises cluster, comparing different CPU usage signals and memory coefficients. Authors: Youssef Moawad, Kathleen West, Vasilis Bountris.

Why it matters

Read this for the paper's specific claim in Cloud / Infrastructure: Distributed batch data processing applications are widely executed on cloud-based resources where restricted user access to node-level hardware energy counters hinders transparent sustainability accounting.

Primary paperarxivcs.DC
Original