OpenResty — NGINX enhanced with the Lua programming language — is widely used for API gateways, dynamic content serving, and high-performance web applications. Instana has long provided automatic distributed tracing for NGINX through the Instana NGINX OpenTracing module. However, one gap...
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Enterprises around the world are looking to harness AI-driven intelligence to accelerate innovation and business growth. Yet many remain constrained by fragmented data, decades of accumulated technical debt, and increasingly complex security, compliance, and sovereignty requirements. ...
Introduction Modern software delivery relies on continuous, automated deployments using GitOps workflows. Argo CD is a widely adopted tool for this purpose, providing declarative, Git-based application delivery to Kubernetes. Faster deployments also increase the risk of undetected...
This document discusses the strategies employed by Synopsys to scale their Load Sharing Facility (LSF) infrastructure effectively. It outlines the company's transition from a fragmented cluster setup to a more streamlined hub-and-spoke model, which consolidates resources and enhances job...
LSF2026CS-12-Synopsys-LSF-UG-Synopsys2026.pdf
This document provides a comprehensive overview of the core concepts of the Load Sharing Facility (LSF), focusing on its architecture, scheduling mechanisms, and extensibility features. It details the roles of various components within the LSF cluster architecture, including the control and...
LSF2026CS-01-IBM-LSF Core Concepts.pdf
The keynote by Sripriya Srinivasan highlights the evolution of IBM Spectrum LSF from a traditional job scheduler to an advanced orchestration platform designed for AI-driven workloads. It emphasizes the growing demand for compute resources and the challenges associated with managing complex,...
LSF2026CS-06-IBM-PriyaKeynote.pdf
The document provides a comprehensive overview of the upcoming IBM LSF 10 Service Pack 16 (LSF 26) set to launch on July 17, 2026. It highlights significant enhancements such as improved memory management features, including a new memory report for identifying waste, OS memory reservation, and...
LSF2026CS-07-IBM-LSFSP16WhatsNew.pdf
This document outlines strategies for enhancing the utilization and scalability of compute resources in data centers through the use of LSF Multi-Cluster features. Key goals include improving resource utilization across multiple data centers, supporting significant job growth, and ensuring...
LSF2026CS-08-NVIDIA-ScalingEDAWorkloadsAcrossTheGlobeWithLSF_2.pdf