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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

Data, Drugs, and Disruption: Leading High-Performance Company in Drug Development

Olga Kubassova shares her journey from mathematician to CEO, detailing how engineering skills translate into business leadership. She discusses building a company, emphasizing team dynamics, strategic growth, and overcoming challenges. Learn how to leverage your technical background for entrepreneurship and navigate business complexities.

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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Cloud

Introduction to DocumentDB

Brian Korzynski introduces DocumentDB, a document database offering on the Azure platform: what it is, how to use it, how much it costs, and how it compares to other cloud document database offerings.

Brian Korzynski
on Dec 25, 2016

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53:47
Java

Advanced Spring Data REST

Covering the features added to Spring Data REST in recent releases, Oliver Gierke looks at how to integrate manually coded REST resources, tweak representations and work with lookup types.

Oliver Drotbohm
on Dec 25, 2016

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01:03:06
Cloud

Spring Data and In-Memory Data Management in Action

John Blum and Luke Shannon present and code a live Spring Boot-based application powered by Apache Geode (a.k.a. Pivotal GemFire) running on CloudFoundry.

John Blum Luke Shannon
on Dec 24, 2016

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01:07:02
Cloud

Consuming Data Services with Spring Apps on Cloud Foundry

This talk covers how the Spring Boot and the Cloud Foundry Java Buildpack auto-configuration mechanisms work, their limitations, and how to explicitly configure connections when needed.

Scott Frederick
on Dec 24, 2016

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52:57
AI, ML & Data Engineering

Sneek Peek at Spring Data Cassandra

Mark Paluch and John Blum present the changes in Spring Data Cassandra and what to expect from the upcoming version.

John Blum Mark Paluch
on Dec 24, 2016

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25:21
Architecture & Design

Scaling Dropbox

Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.

Preslav Le
on Dec 20, 2016

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41:02
Java

Next Level Redis with Spring

Christoph Strobl explains Redis' Object Hash Mapping and Secondary Indexes as well as the Spring Data Repository abstraction that lets one seamlessly interact with Redis.

Christoph Strobl
on Dec 18, 2016

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29:38
Java

What's New in Spring Data?

Christoph Strobl and Mark Paluch overview the new features introduced in the latest Spring Data release trains, covering improvements to Commons, JPA, MongoDB, Redis, and the community modules.

Christoph Strobl Mark Paluch
on Dec 18, 2016

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01:00:38
AI, ML & Data Engineering

Where Does Apache Geode Fit in CQRS Architectures?

Eitan Suez explores the question: Where does Geode fit in an organization's system architecture, suggesting one particular fit for Geode in the context of a CQRS architecture.

Eitan Suez
on Dec 18, 2016

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29:54
AI, ML & Data Engineering

Introduction to Spring Data

Greg Turnquist explains how Spring Data avoids writing data queries by hand and provides the means to avoid SQL lock-in and connect to multiple data stores.

Greg Turnquist
on Dec 18, 2016

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30:56
AI, ML & Data Engineering

TensorFlow: A Flexible, Scalable & Portable System

Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.

Rajat Monga
on Dec 17, 2016

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31:03
AI, ML & Data Engineering

Visual Rules of the Road for Big Data Practitioners

David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.

David Fisher
on Dec 16, 2016

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50:31

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