We Reduced DevOps Setup from Weeks to Minutes — Here’s How We Built InfraPilot
Introduction We kept running into the same problem over and over again: setting up production infrastructure was slow, painful, and full of hidden complexity....
Introduction We kept running into the same problem over and over again: setting up production infrastructure was slow, painful, and full of hidden complexity....
Introduction Nobody publishes this data, so we measured it ourselves. Cloud providers share uptime SLAs, pricing calculators, and feature comparison tables, bu...
The decomposition of complex structures into simpler substructures is a powerful technique with a wide range of applications. We study the computation of decomp...
With the release of Vault Enterprise 2.0, we are continuing to modernize how organizations secure and distribute secrets across hybrid and multi-cloud environme...
Swarm protocols are a recently introduced formalism for specifying, implementing, and verifying peer-to-peer systems called swarms. A swarm consists of distribu...
With the continuous expansion of blockchain application scenarios, consortium chains have raised higher performance and security requirements for consensus mech...
At MWC 2026, Telstra announced a major step forward in its journey towards building one of the world’s most advanced autonomous networks in collaboration with R...
!Explorer drawing their own map with cartography tools, symbolizing building your own Spec-Driven Development path.https://media2.dev.to/dynamic/image/width=800...
Hybrid High-performance Computing (HPC)-quantum workloads based on circuit cutting decompose large quantum circuits into independent fragments, but existing fra...
Although modern, AI-centric datacenters heavily rely on SmartNICs, existing devices impose a hard trade-off. Commercial SmartNICs provide high bandwidth and eas...
Prefill-decode (PD) disaggregation has become the standard architecture for large-scale LLM serving, but in practice its deployment boundary is still determined...
Increasing demand for computational power has led cloud providers to employ multi-NUMA servers and offer multi-NUMA virtual machines to their customers. However...
As a current trend in Artificial Intelligence (AI), large foundation models are increasingly employed as the core of AI services. However, even after training, ...
The Flow Stripe Checkout → Webhook → Atlas listener → File delivery → Email receipt Total time: ~28 seconds on average. Step 1: Stripe Webhook We listen to che...
The Kubernetes Monitoring Maze Kubernetes gives you a thousand metrics out of the box. Most teams monitor all of them and understand none of them. After runnin...
AI‑Driven Code Security at Scale AI is writing code faster than any security team can review it. What used to be a manageable backlog of static application sec...
AI-generated code moves faster than the systems around it can keep up with. More code means more merge requests queued, more pipelines to configure, more questi...
The GitLab Duo Agent Platformhttps://docs.gitlab.com/user/duo_agent_platform/ now supports Claude Opus 4.7https://www.anthropic.com/news/claude-opus-4-7, Anthro...
We consider the block withholding attacks on pools, more specifically the state-of-the-art Power Adjusting Withholding (PAW) attack. We propose a generalization...
Disaggregated storage systems improve resource utilization and enable independent scaling of storage and compute resources by separating storage resources from ...
SAKURAONE is a managed high performance computing (HPC) cluster developed and operated by the SAKURA Internet Research Center. It builds on the KOKARYOKU PHY ba...
The growth of compute-intensive AI tasks highlights the need to mitigate the processing costs and improve performance and energy efficiency. This necessitates t...
We propose a new sparse matrix format, PackSELL, designed to support diverse data representations and enable efficient sparse matrix-vector multiplication (SpMV...
Snowflake revolutionized data warehousing with an elastic architecture that decouples compute and storage, enabling scalable solutions for diverse data analytic...
Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabili...
Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabili...
Many techniques in program synthesis, superoptimization, and array programming require parallel rollouts of general-purpose programs. GPUs, while capable target...
This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort...
Large enterprises often operate extensive Continuous Integration (CI) pipelines on large, heterogeneous compute clusters, where conservative, statically defined...
Large-scale pre-training of Foundational Models (FM) constitutes a computationally intensive first phase for enabling AI across diverse scientific and societal ...
Federated Learning (FL) offers a promising pathway for collaboratively fine-tuning Large Language Models (LLMs) at the edge; however, this paradigm faces a crit...
Advances in networking and computing technologies throughout the early decades of the 21st century have transformed long-standing dreams of pervasive communicat...
GitLab Duo Agent Platform & Google Cloud Vertex AI Partnership GitLab Duo Agent Platform is helping redefine how organizations build, secure, and deliver softw...
Serverless providers strive for high resource utilization by optimizing deployment density: how many applications can be deployed per host server. However, achi...
Datacenters are the backbone of our digital society, but raise numerous operational challenges. We envision digital twins becoming primary instruments in datace...
High-performance computing (HPC) systems increasingly support both scalable AI training and large-scale simulation workloads. Both typically rely heavily on col...
The quantum computing community is increasingly positioning quantum processors as accelerators within classical HPC workflows, analogous to GPUs and TPUs. Howev...
Multi-model LLM routing has emerged as an effective approach for reducing serving cost and latency while maintaining output quality by assigning each prompt to ...
View on sreweekly.comhttps://sreweekly.com/sre-weekly-issue-512/ Improving robustness requires increasing complexity. Let’s throw more complexity at it? > I’m u...
The Modern DevOps Engineer on AWS The cloud landscape has changed dramatically over the last few development cycles. When I first started working with AWS, a l...
!Dan Kohn Scholarship Recipient, Avery in Amsterdamhttps://www.cncf.io/wp-content/uploads/2026/04/Avery_AMS_SR-1.jpg KubeCon + CloudNativeCon Europe 2026 is one...
Introduction A team ships a feature. Weeks later, a security flaw surfaces—not a bug in the code, but a flaw in the architecture. The API gateway talks directl...
Sustaining exascale performance in production requires engineering choices and operational practices that emerge only under real deployment constraints and dema...
CloudBees has made generally available an add‑on for continuous integration/continuous deployment CI/CD platforms that uses artificial intelligence AI to determ...
Overview Integrating Workday with third‑party payroll systems is crucial for organizations that use Workday HCM but rely on external payroll providers globally...
An analysis of the escalating AI subscription wars between Anthropic and OpenAI, highlighting the “Single Prompt Sinkhole” phenomenon where power users exhaust...
Google's open-source Scion testbed lets developers run isolated, parallel AI agents across local and remote clusters. Here's how it works....
In a previous article, we focused on the capability that turns large language models LLMs from general‑purpose tools into instruments of research through domain...