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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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Presentations

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Not Just ORM: Powerful Hibernate ORM Features and Capabilities

Brett Meyer demos using multiple-tenancy, geographic data, auditing/versioning, sharding, OSGi, and integration with Hibernate.

Brett Meyer
on Sep 20, 2014

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01:01:45
Real-World Datomic: An Experience Report

Craig Andera explains Datomic from the perspective gained in implementing and optimizing a real-world production system, detailing the Datomic indexing process.

Craig Andera
on Dec 12, 2013

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41:26
One to Many: The Story of Sharding at Box

Tamar Bercovici presents Box’s transition from a single MySQL database to a fully sharded MySQL architecture, all the while serving 2 billion queries per day.

Tamar Bercovici
on Nov 17, 2013

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41:00
MySQL Usage of Web Applications with 1 User and 100 Million

Peter Boros discusses a MySQL architecture useful for the majority of projects, backup, online schema changes, reliability and scalability issues, and basics of sharding.

Peter Boros
on Oct 06, 2013

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44:36
In-Memory Message & Trade Repositories

John Davies walks through a reference implementation of a in-memory database meant to combine dozens of different legacy databases developed by banks over time.

John Davies
on Apr 01, 2013

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55:39
Scaling Pinterest

Yashwanth Nelapati and Marty Weiner share lessons learned growing Pinterest: sharding MySQL, caching, server management, all on Amazon EC2.

Yashwanth Nelapati Marty Weiner
on Mar 26, 2013

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48:40
A Relational Database System in which Joins Cost Zero

Ori Herrnstadt introduces the Akiban database which solves the problem of joins and combines the best of relational and document databases.

Ori Herrnstadt
on Mar 14, 2013

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51:56
Building a Cloud Ecosystem Architecture

Chris Haddad discusses cloud computing, PaaS, multi-tenancy, cloud ecosystems, cloud aware APIs from the perspective and the benefits it can provide to the business.

Chris Haddad
on Mar 05, 2013

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34:19
Executing Queries on a Sharded Database

Neha Narula provides advice on choosing a data store for a web applications and executing distributed queries.

Neha Narula
on Feb 28, 2013

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41:57
Deconstructing the Database

Rich Hickey deconstructs the monolithic database into separate services, transactions, storage, query, combining them with a data model based on atomic facts to provide new capabilities and tradeoffs.

Rich Hickey
on Feb 12, 2013

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48:30
Understanding Indexing Without Needing to Understand Data Structures

Zardosht Kasheff suggest using 3 rules for indexing SQL databases: Retrieve less data, Avoid point queries, and Avoid sorting.

Zardosht Kasheff
on Nov 01, 2012

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45:35
Writing Datomic in Clojure

Rich Hickey introduces Datomic, including architectural and implementation details.

Rich Hickey
on Oct 08, 2012

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01:01:30

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