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Development

Featured in Development

CRDTs: From Sequential to Concurrent Executions

Carlos Baquero Moreno discusses migrating from sequential to concurential programming using CRDTs.

All in development

Architecture & Design

Featured in Architecture & Design

Application Integration for Microservices Architectures: A Service Mesh Is Not an ESB

A service mesh is only meant to be used as infrastructure for communication between services, and developers should not be building any business logic inside the service mesh. Other frameworks and libraries can be used to implement cloud native enterprise application integration patterns.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

H2O's Driverless AI: An AI That Creates AI

Marios Michailidis shares their approach on automating ML using H2O’s Driverless AI. Driverless AI employs the techniques of expert data scientists in an easy-to-use application that helps scale data science efforts; empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minutes that used to take months.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Michael Bolton on the Testing Mindset

In this Shane Hastie, Lead Editor for Culture & Methods, spoke to Michael Bolton about the current and future state of testing.

All in culture-methods

DevOps

Featured in DevOps

Towards a Unified, Standard API for Consolidating Service Meshes

Service mesh architectures enable a control and observability loop. At the moment, service mesh implementations vary in regard to API and technology, and this shows no signs of slowing down. Building on top of volatile APIs can be hazardous. Here we suggest to use a simplified, workflow-friendly API to shield organization platform code from specific service-mesh implementation details.

All in devops

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InfoQ Homepage Performance & Scalability Content on InfoQ

Performance & Scalability

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News about Performance & Scalability

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Cloud

Microsoft Introduces Azure Front Door, a Scalable Service for Protecting Web Applications

Kent Weare
on Apr 08, 2019
DevOps

Scaling Graphite at Booking.com

Hrishikesh Barua
on Mar 30, 2019
DevOps

Scaling Apache Kafka at Pinterest

Hrishikesh Barua
on Dec 09, 2018 2
AI, ML & Data Engineering

The Evolution of Uber’s 100+ Petabyte Big Data Platform

Hrishikesh Barua
on Nov 10, 2018
DevOps

Scaling Global Traffic at Dropbox with Edge Locations and GSLB

Hrishikesh Barua
on Oct 27, 2018
Architecture & Design

Supercharging Marketo's Campaign Engine at Reactive Summit

Pierre-Luc Maheu
on Oct 24, 2018
Cloud

Amazon S3 Increases Request Rate Performance and Drops Randomized Prefix Requirement

Steffen Opel
on Oct 11, 2018
DevOps

Facebook Open Sources LogDevice - a Distributed Data Store for Log Storage

Hrishikesh Barua
on Sep 30, 2018
DevOps

How Coinbase Handled Scaling Challenges on Their Cryptocurrency Trading Platform

Hrishikesh Barua
on Aug 12, 2018
Development

Hyperledger Adds "Caliper" to Measure Blockchain Performance across Implementations

Kent Weare
on Apr 06, 2018
DevOps

How Booking.com Uses Kubernetes for Machine Learning

Manuel Pais
on Apr 01, 2018
DevOps

Handling Traffic Spikes from Global Events at Facebook Live

Hrishikesh Barua
on Feb 26, 2018

Articles about Performance & Scalability

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Cloud

Four Techniques Serverless Platforms Use to Balance Performance and Cost

Erwin van Eyk
on Feb 13, 2019 1
AI, ML & Data Engineering

Scaling a Distributed Stream Processor in a Containerized Environment

Sarangan Janakan Miyuru Dayarathna
on Jan 13, 2019
AI, ML & Data Engineering

Columnar Databases and Vectorization

Siddharth Teotia
on May 27, 2018
DevOps

Six Tips for Running Scalable Workloads on Kubernetes

Joel Speed
on Mar 30, 2018
.NET

Unleashing the Power of .NET Big Memory and Memory Mapped Files

Dmitriy Khmaladze
on Jul 12, 2017 15
DevOps

Developing a Secure and Scalable Web Ecosystem at LinkedIn

Mira Thambireddy James Baker
on Jun 30, 2017
.NET

On Abstractions and For-Each Performance in C#

Jonathan Allen
on Sep 29, 2016 2
AI, ML & Data Engineering

Virtual Panel: Current State of NoSQL Databases

Srini Penchikala
on Aug 02, 2016 2
Web API

Graph API in a Large Scale Environment

Maor Cohen
on Feb 13, 2016
.NET

Big Memory .NET Part 2 - Pile, Our Big Memory Solution for .NET

Dmitriy Khmaladze Leonid Ganeline
on Oct 13, 2015 22
.NET

Big Memory .NET Part 1 – The Challenges in Handling 1 Billion Resident Business Objects

Dmitriy Khmaladze Leonid Ganeline
on Oct 08, 2015 2
DevOps is Not a Feature!

Nati Shalom
on May 24, 2015

Presentations about Performance & Scalability

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Architecture & Design

Scaling Stack Overflow: Keeping it Vertical by Obsessing Over Performance

David Fullerton
on Oct 18, 2015 3

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49:00
How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Vaclav Petricek
on Aug 19, 2015

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48:46
Performance Testing Crash Course

Dustin Whittle
on Apr 25, 2015

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01:09:35
0 – 100 MPH - Launching a New Product at Scale

Dan Macklin
on Mar 15, 2015

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34:52
Spring Batch Performance Tuning

Gunnar Hillert Chris Schaefer
on Feb 14, 2015

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01:24:19
Not Exactly! Fast Queries via Approximation Algorithms

Nelson Ray Fangjin Yang
on Jan 20, 2015

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43:55
Architecture & Design

Scaling Gilt: from Monolithic Ruby Application to Distributed Scala Micro-Services Architecture

Yoni Goldberg
on Oct 30, 2014

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40:16
Scaling Foursquare: From Check-ins to Recommendations

Jon Hoffman
on Oct 26, 2014

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46:06
Scaling Chartbeat from 8 Million Open Browsers to Realtime Analytics and Optimization

Wesley Chow
on Oct 26, 2014

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48:17
Machine Learning at Netflix Scale

Aish Fenton
on Oct 07, 2014 4

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43:56
Scaling Continuous Deployment

Avleen Vig
on Sep 07, 2014

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40:39

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Guides about Performance & Scalability

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InfoQ eMag: Scalability

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Resources Library

Application Performance Management in the Microservices Age
This Application Management eBook examines how microservices-based applications differ from traditional app architectures. Download Now

Manual Monitoring – Bad! Automatic Monitoring – Good!
In the race to keep software delivery up to pace with user expectations, manual monitoring puts all that at risk. The more your applications change, the more you must automate. Download Now

Application Performance Management in a Containerized World
Is Traditional APM Failing Your Containerized Applications? Explore the world of containers & their impact application performance and monitoring. Download Now

Open Source Microservices Monitoring is a Terrible Idea
This Research from APM Experts examines the functional differences between automatic microservice monitoring solutions, using Instana as the example, and open source alternatives, focusing on Prometheus and Jaeger. Download Now

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Yes Virginia, Automatic Monitoring DOES Exist

Finding the Needle in the Containerized Haystack

The Ultimate Application Monitoring Guide for Kubernetes

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