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Topics

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

Rockset - Building a Modern Analytics Database on Top of RocksDB

Igor Canadi discusses the architecture of their real-time search analytics SQL database built on RocksDB. He explains their cloud-native design, custom RocksDB replication, shared hot storage solution, and how they optimized RocksDB for efficient analytical queries. Learn about their approach to scalability, low latency, and high concurrency for application-focused databases.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Bringing a Product Mindset to an Infrastructure Platform Team

Stéphane Di Cesare discusses DKB's experience introducing a product mindset within their platform team, explaining their definition of a platform team, the rationale behind the shift, and their journey including challenges, goals, and key learnings around user value, platform definition, maturity models, and effective communication strategies for senior software developers and engineering leaders.

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 Dev Summit Boston

Learn how senior software developers are solving the challenges you face. Register now with early bird tickets.

InfoQ Dev Summit Munich

Learn practical solutions to today's most pressing software challenges. Register now with early bird tickets.

QCon San Francisco

Explore insights, real-world best practices and solutions in software development & leadership. Register now.

InfoQ Homepage Interviews Hilary Mason on bit.ly and Trending Clickstreams

Hilary Mason on bit.ly and Trending Clickstreams

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15:37

Bio

Hilary Mason is the lead scientist at bit.ly, where she is finding sense in vast data sets. She is a former computer science professor with a background in machine learning and data mining, has published numerous academic papers, and regularly releases code on her personal site, www.hilarymason.com. She has discovered two new species, loves to bake cookies, and asks way too many questions.

About the conference

Strange Loop is a developer-run software conference. Innovation, creativity, and the future happen in the magical nexus "between" established areas. Strange Loop eagerly promotes a mix of languages and technologies in this nexus, bringing together the worlds of bleeding edge technology, enterprise systems, and academic research. Of particular interest are new directions in data storage, alternative languages, concurrent and distributed systems, front-end web, semantic web, and mobile apps.

Jan 20, 2011

Interview with

Hilary Mason

by

Ryan Slobojan

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