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Development

Featured in Development

How to Compute Without Looking: A Sneak Peek into Secure Multi-Party Computation

This article shows how you can compute a function across multiple parties that do not trust each other without forcing them to share their individual inputs. This technique can be used to split secrets among parties, perform logical operations, or count votes in a way that ensures data privacy is preserved.

All in development

Architecture & Design

Featured in Architecture & Design

OpenSearch Cluster Topologies for Cost Saving Autoscaling

Amitai Stern discusses cost-saving autoscaling topologies for OpenSearch. He explains the inherent challenges in autoscaling unstructured data systems like OpenSearch and Elasticsearch, using analogies to illustrate the complexities beyond simply adding nodes. He shares architectural patterns (burst indexes, burst clusters) to optimize resource utilization and handle fluctuating loads effectively.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Navigating LLM Deployment: Tips, Tricks, and Techniques

Meryem Arik shares best practices for self-hosting LLMs in corporate environments, highlighting the importance of cost efficiency and performance optimization. She details quantized models, batching, and workload optimizations to improve LLM serving. Insights cover model selection and infrastructure consolidation, emphasizing the differences between enterprise and large-scale AI lab deployments.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Making Change Stick: Lessons Learned From Helping Teams Improve at the Co-Op

Neil Vass discusses Co-op's unique 180-year history and its impact on modern software development practices within the organization. He explains the evolution of Co-op Digital, from its early adoption of agile principles inspired by GDS to its current challenges in scaling and sustaining effective ways of working across diverse teams.

All in culture-methods

DevOps

Featured in DevOps

Checklist for Kubernetes in Production: Best Practices for SREs

This article provides SREs with a checklist for managing Kubernetes in production environments. It identifies common challenges including resource management, workload placement, high availability, health probes, storage, monitoring, and cost optimization. By implementing consistent GitOps automation across these areas, teams can significantly reduce complexity, and prevent downtime.

All in devops

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InfoQ Homepage Interviews Hakan Erdogmus on TDD Misunderstandings and Adoption Issues

Hakan Erdogmus on TDD Misunderstandings and Adoption Issues

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20:57

Bio

Hakan Erdogmus is a senior research officer at the National Research Council in Ottawa, Canada. He’s also an adjunct professor in the University of Calgary’s Computer Science Department. Hakan is a member of the IEEE, the IEEE Computer Society, and the ACM. He holds an MSc in computer science from McGill University, and a BSc in computer engineering from Boğaziçi University, Istanbul.

About the conference

Jul 11, 2008

This content is in the Agile topic

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