As high-performance computing systems scale in size and complexity, efficient resource management is essential to minimize communication overhead. The HyperX is...

The rapid adoption of large language models (LLMs) has shifted a substantial portion of inference workloads into throughput-oriented offline regimes, where full...

Datacenter network design plays a critical role in AI training by supporting scaling to thousands of accelerators. An open problem, designing a near-optimal thr...

Multimodal LLM datasets are inherently heterogeneous, with significant data variability. Although each modality exhibits independent variability, sample-level e...

Digital certificates quietly underpin almost everything that matters in modern IT: public websites, internal systems, APIs, and machine‑to‑machine traffic. For...

In the adrenaline‑filled moments leading up to a Red Hat Certification exam, we know you want to focus and maybe get in a little last‑minute preparation. Our go...

The end of support for Amazon Linux 2 AL2 is upcoming on June 30, 2026. For users, that means that the migration to other distributions is a necessary step in o...

Neighbor graphs capture relationships among data points and are widely used in data analytics and AI workloads. Many studies have explored approximate construct...

DORA metrics have been a reliable compass for engineering teams for over a decade. Deployment frequency, lead time for changes, change failure rate, mean time t...

Password‑less Provisioning & Atomic Customization In the modern cloud landscape, security is more important than ever. AI‑based, GPU‑powered algorithms have tu...

Overview Sol Duara, a provider of open‑source platforms for managing the software development lifecycle SDLC, announced its intent to contribute an open‑source...

markdown Technical Update: Unfixed Kubernetes CVEs Authors: - Pushkar Joglekarhttps://github.com/PushkarJ – Broadcom / SIG Security - Tabitha Sablehttps://githu...

Partitioning and Z‑Ordering have long been fundamental techniques in Delta Lake for optimizing data layout and query performance. However, these methods require...

The fight to maintain security has moved to the engineer’s messy desktop. Last week, AI‑search provider Perplexity open‑sourced an internal tool, Bumblebee, for...

The edge-cloud computing continuum demands self-management mechanisms that scale across autonomous administrative domains while honouring tenant- and operator-s...

Editor’s Note: The following is an article written for and published in DZone’s 2026 Trend Report, Platform Engineering and DevOps: How Internal Platforms, Deve...

Checking for dependency vulnerabilities in freshly developed software is usually done near the end of the build process. Remediation at that point can be tricky...

DevOps.com is now providing a weekly DevOps jobs report to highlight opportunities for DevOps professionals as part of an effort to better serve our audience. O...

Nonlinear reformulations of the spectral clustering method have gained a lot of recent attention due to their increased numerical benefits and their solid mathe...

Docker AI Governance: Unlock Agent Autonomy, Safely May 12, 2026 Introducing Docker AI Governance: centralized control over how agents execute, what they can r...

Extreme-scale data centers are the backbone of next-generation computing, enabling breakthroughs in science, artificial intelligence, and global innovation thro...

All-to-All communication is a key performance bottleneck for distributed machine learning (ML) and high-performance computing (HPC) workloads, where dense traff...

AI‑Driven Operations for Modern Hybrid Enterprises As AI capabilities continue to evolve, AI is becoming central to managing the growing complexity of distribu...

Reverse k nearest neighbor (RkNN) queries are fundamental in spatial databases, location-based analytics, and recommendation systems. Existing state-of-the-art ...

AI coding agents produce code faster than most teams can validate it. Without a validation step between the agent and CI, every problem gets caught after the pu...

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...

For years, migrating to Red Hat Enterprise Linux RHEL meant a two‑step process: first convert the OS to the corresponding RHEL version, then perform an in‑place...

Day 3 at CodeSphere Hub – Mastering Azure Resource Organization On Day 3 of the CodeSphere Hub Bootcamp, learners explored how Azure resources are structured,...

TL;DR A single straggling node held up a 4-node distributed training job. We found it by fanning out one SQL query to all four nodes and getting the answer in...

> Editor’s Note: The following is an article written for and published in DZone’s 2026 Trend Report, Platform Engineering and DevOps: How Internal Platforms, De...

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...

layer‑blame: git blame for image layers layer‑blame attributes every byte in a Docker image to the package that introduced it. Example: Alpine bash docker save...

Retrieval-Augmented Generation (RAG) empowers LLMs with external knowledge, making cross-institutional domain-specific knowledge base integration a highly promi...

'Posted on May 25, 2026 by Sajal Nigam, CNCF Community Member

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...

Recent high‑profile security events have raised concerns within the DevSecOps community. Attackers are no longer just targeting the applications you build; they...

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...