What to do About AI’s Forced Rethink of Reliability in Modern DevOps
As systems become more distributed and AI‑driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward...
As systems become more distributed and AI‑driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward...
Overview A virtual machine is a computer in the cloud. Prerequisites - Azure Portal access - Microsoft account create a free Azure account if you don’t have on...
As large language models continue to scale, training demands on compute and system capacity grow rapidly, making single-vendor homogeneous clusters insufficient...
📌 Introduction Modern applications often need data to move between systems in real time — analytics platforms, microservices, search indexes, or backup databa...
Rethinking Scale in AI In the AI industry, we’ve spent the last three years obsessed with scale. We chased parameter counts into the trillions, believing that...
The Problem Last year I was debugging a production incident where a system prompt had been changed without anyone noticing. The model started giving weird resp...
CI/CD for Android Apps on GitHub Actions Setting up CI/CD for Android apps on GitHub Actions is straightforward once you know the gotchas. This guide covers ev...
In the last decade, subgraph detection and enumeration have emerged as a central problem in distributed graph algorithms. This is largely due to the theoretical...
Collocating deep learning training tasks improves GPU utilization but causes drastic slowdowns due to resource contention and risks Out-of-Memory (OOM) failures...
A low out-degree orientation directs each edge of an undirected graph with the goal of minimizing the maximum out-degree of a vertex. In the parallel batch-dyna...
IoT applications are increasingly relying on on-device AI accelerators to ensure high performance, especially in limited connectivity and safety-critical scenar...
We present a comprehensive characterization study of open-source message-oriented middleware (MOM) systems. We followed a rigorous methodology to select and stu...
Driven by scientific and industry ambition, HPC and AI applications such as operational Numerical Weather Prediction (NWP) require processing and storing ever-i...
Kubernetes upgrades are often presented as straightforward, linear progressions: move from one version to the next, validate, and repeat. This approach—commonly...
In modern DevOps, we automate deployments, testing, and infrastructure provisioning. Yet, in many organizations, server patching remains a manual, high‑friction...
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Error-bounded lossy compression is essential for managing the massive data volumes produced by large-scale HPC simulations. While state-of-the-art compressors s...
Modernizing Atruvia’s Financial‑IT Infrastructure with HashiCorp Outdated IT systems cost financial‑services firms an average of $100 M annually, including $31...
We study the self-stabilizing leader election problem in anonymous n-nodes networks. Achieving self-stabilization with low space memory complexity is particular...
Introduction AWS Step Functions has evolved from a simple state machine orchestrator into the backbone of modern serverless data engineering. As organizations...
We’ve just celebrated the 10th anniversary of the Cloud Native Computing Foundationhttps://medium.com/@horovits/cncf-ambassadors-reflections-on-10-years-of-the-...
markdown !Week 5 Talent Gap Blog Imagehttps://blogs.vmware.com/cloud-foundation/wp-content/uploads/sites/75/2026/02/Week-5-Talent-Gap-Blog-Image.jpg?w=301&h=301...
Today, we’re excited to announce that workload identity federation is generally available. Since launching in beta last fallhttps://tailscale.com/blog/workload-...
Jan 30 , 2026 Docker Sandboxes: Run Claude Code and Other Coding Agents Unsupervised but Safely Secure sandboxes for Claude Code, Gemini, Codex, and Kiro. Run c...