Mechanism-mediated service markets with polymatroidal feasibility admit efficient, dominant-strategy incentive-compatible (DSIC) allocation, but these guarantee...
Divide and Conquer (D&C) is a widely used algorithmic strategy for symmetric eigenvalue decomposition. Its natural parallelism makes D&C attractive on m...
OpenMP is a popular parallelization framework that lets users transform sequential code into parallel code with a few simple annotations. Unfortunately, it is a...
1. Create Useful Aliases Immediately The first thing I did in every lab environment was create aliases. bash alias k=kubectl Instead of typing: bash kubectl ge...
Across the industry, every CI/CD platform faces the same challenge: as organizations grow, manually configuring scanners to run across every pipeline definition...
Validators on generic Proof of Stake chains earn the same fees whether they handle attestation work correctly or selectively censor it. For chains whose main ac...
Retrieval-Augmented Generation (RAG) empowers LLMs with external knowledge, making cross-institutional domain-specific knowledge base integration a highly promi...
Large language model (LLM) inference is limited by high computational cost and memory bandwidth demands, making deployment on heterogeneous many-core processors...
Multi-agent systems powered by large foundation models (LFMs) are increasingly deployed to control industrial robots through natural language, creating deployme...
Diffusion-based generation is increasingly powering production content pipelines; however, deploying these models at scale remains a significant challenge. Mode...
The rapid evolution of large language models (LLMs) has made geographically distributed training necessary due to GPU scarcity within a single cloud region. In ...
View on sreweekly.comhttps://sreweekly.com/sre-weekly-issue-518/ This article gives you the failure data, cost data, and risk picture you need to make an accura...
Have you noticed the recent surge of post‑quantum cryptography PQC roadmaps and Q‑day countdowns? They’re hard to miss. Organizations across the industry are ru...
In distributed system management, defining the ideal state of a server is rarely black and white. Different operational goals often create tension between perfo...
A dangerous vulnerability found in Anthropic’s popular Claude Code developerhttps://devops.com/claude-code-routines-anthropics-answer-to-unattended-dev-automati...
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in prod...
Most discussions about AI model training focus on architecture choices, compute budgets, and evaluation benchmarks. The data pipeline that feeds those models? I...
The growing complexity and scale of scientific workflows in high performance computing (HPC) environments have led to significant challenges in managing energy ...
An SDN-like centralized control architecture is increasingly popular and has been widely explored in cyber-physical systems (CPS) such as manufacturing, interne...
Learned indexes have emerged as a promising alternative to traditional index structures, offering higher throughput and lower memory usage by approximating the ...
Modern Mixture-of-Experts (MoE) models increasingly rely on large-scale AI accelerator clusters for efficient training. Ascend NPUs expose heterogeneous on-chip...
Modern API-led architectures are built for resilience. We add:...
Online services strive to maintain application responsiveness even when the traffic is unpredictable and fluctuating. Today's online services are commonly deplo...
Blockchain systems that settle financial transactions face a structural tension: the single validator that assembles each block holds unilateral power over tran...
Transaction ordering attacks extract billions of dollars annually from decentralized finance users in the form of Maximal Extractable Value (MEV). Byzantine Fau...
Cloud-based Digital Twin (DT) platforms enable real-time monitoring, simulation, and collaborative decision-making across distributed clients. However, ensuring...
Posted on May 22, 2026 by Mridula Chilakamarri, CNCF Technical Advisory Group Modern SaaS platforms built on cloud‑native architectures frequently consist of do...
Modern engineering teams ship software faster than ever, but this velocity often comes at the cost of security. Vulnerabilities frequently slip into production...
Directed acyclic graph (DAG)-based Byzantine Fault-Tolerant (BFT) protocols achieve high throughput by decoupling dissemination from agreement and allowing many...
DevOps teams don’t have a firewall problem; they have an identity problemhttps://devops.com/the-mlsecops-era-why-devops-teams-must-care-about-prompt-security/....
High-throughput inference serving is essential for applications built on large language models (LLMs). Existing serving frameworks reduce request-level and batc...
In 2026 and beyond, AI will not just change how software is developed, but change the very fundamentals of how people work. Far from being sidelined, senior eng...
Cloud service platforms increasingly rely on elastic infrastructures to support dynamic workloads. Spot instances provide discounted computing resources but int...
Trauma resuscitation is a clinical process for treating life-threatening physiological disorders in safety-critical environments, driven by the experience of he...
In Opportunistic Networks (OppNets), the dissemination of information can only rely on transient pairwise radio contacts between mobile devices (peers). Designi...
Reducing collective communication latency is a critical goal for large model training and inference in both academia and industry. Many-to-many communications, ...
Erasure codes are a critical component in reliable storage systems today, and many blockchain systems use consensus protocols that involve erasure codes to redu...
Scientific workflows are pipelines of interdependent tasks. They are increasingly executed on shared Kubernetes clusters via workflow engines such as Nextflow. ...
To reduce user costs and maximize cluster utilization, large model training increasingly leverages volatile but inexpensive GPU capacity, such as spot instances...
The proof is in the pipeline We've watched this shift play out in real time. Enterprises aren't just buying security tools anymore — they're looking for partne...
Customers running GitLab Duo Agent Platform Self-Hostedhttps://docs.gitlab.com/subscriptions/subscription-add-ons/gitlab-duo-agent-platform-self-hosted operate...
Survey Overview A surveyhttps://www.cloudbees.com/newsroom/enterprise-technology-leaders-report-production-failures-from-ai-generated-code of 213 IT leaders co...
GitHub Breach Overview GitHub says attackers accessed thousands of internal repositories after a company employee’s device was compromised through a malicious...
Bitcoin's price has been described as following a power law (PL) in time, P sim t^β with hatβapprox 5.7 over 2010-2026. We test this claim using the Clauset-Sha...
We study stochastic graph optimization problems in a novel distributed setting. As in the standard centralized setting, a random subgraph G^* of a known base gr...
While there might be a GPU shortage, there certainly isn’t a shortage of coding agents. Whether it’s Claude Code, Codex, OpenCode, Gemini CLI, GitHub Copilot CL...
AI in Enterprise: From Copilots to Execution Over the last several weeks, I’ve been on the road talking to enterprise IT leaders, platform engineers, security t...
Intelligent roadside infrastructure is a key enabler for cooperative intelligent transport systems (C-ITS), supporting vehicles equipped with automated driving ...
