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  1. Application Device Queues (ADQ) Resource Center

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Predictability at Scale

Application Device Queues (ADQ) resource center.

Broader Workload Support.

Easier to Deploy.

Application Device Queues (ADQ) is a queuing and steering technology. By deploying Intel® Ethernet 800 Series Network Adapters with ADQ, organizations can improve predictability and performance to deliver a better customer experience and consistently meet SLAs.

ADQ now supports a broader range of workloads and environments: containerized, bare metal, virtualized. ADQ is also easier to configure and deploy.

Managing latency, predictability and throughput on containerized workloads or CDNs can be challenging. Learn how the latest features in ADQ can help.

Read ADQ in a Kubernetes Environment solution brief ›

Read ADQ and CDN performance solution brief ›

Twitter and Intel Collaborate on Pelikan Cache Acceleration with ADQ for Dramatic Tail Latency Improvement

When maintaining performance during peak usage periods, response times are limited by the slowest outliers (tail latency). Twitter and Intel collaborated to achieve an up to 10X tail latency improvement by accelerating Twitter’s Pelikan Cache framework with ADQ.1 The reduction in tail latency enables Twitter to provide stricter latency targets and give customers access to more data.

Read the blog ›

Scalable, Low-Latency Storage Using ADQ and LightOS

Through a strategic collaboration, Intel and Lightbits Labs deliver greater performance, flexibility, and lower TCO for NVMe over Fabrics (NVMe-oF)-based disaggregated storage. Initial results: NVMe/TCP with a LightOS cluster demonstrates up to 30% predictability increase, up to 50% latency reduction and up to 70% IOPS improvement when using ADQ vs. without ADQ.2

Read the white paper ›

Aerospike: First Commercial Database to Support Intel® Ethernet 800 Series with ADQ

Get useful insights from big data in real time. Based on Aerospike’s testing in the Intel Labs, ADQ can result in greater than 75% improved throughput and, most importantly, greater than 45% increased response-time predictability for the Aerospike 4.7 or later next-generation NoSQL database running on a dual-socket server based on 2nd Gen Intel® Xeon® Scalable processors, configured with two Intel® Ethernet 800 Series network adapters with ADQ technology compared to the previously optimized approach of NUMA pinning.

Read the solution brief ›

Introduction to ADQ

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Intel® Ethernet 800 Series Network Adapters

Aerospike

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Principled Technologies 3-node Scaling Performance Report

Memcached

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Memcached Solution Brief
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Steve Schultz, Intel VP, OCP Summit Blog
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Netdev 0x14 ADQ Session

NVMe/TCP with ADQ Using Lightbits

Lightbits
LightOS with Intel Technology for Kubernetes Environments
Lightbits
Get the Portability of Kubernetes with the Performance of Local Flash by Using LightOS and Intel Technology
Lightbits
Scalable, Low Latency Storage White Paper
Lightbits
Optimize the Configuration of a Lightbits Cloud Data Platform & Intel® Ethernet 800 Series with ADQ

Lightbits
Discover the TCO Savings That Can Be Derived From Using the Lightbits Software with Intel® Ethernet 800 Series with ADQ
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Intel and Lightbits Strategic Collaboration News Release
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Patricia Kummrow, Intel VP and GM, Next Gen Infrastructure Blog
Lightbits
Low Latency Edge Storage Webinar
Lightbits
SDC 2020 Technical Presentation

NVMe/TCP with ADQ Using Linux Kernel

NVMe*
Performance Testing Confirms ADQ Accelerates NVMe Over TCP in a Linux Kernel Environment Solution Brief
NVM express
NVM Express Over TCP with Linux Kernel for Intel® Ethernet Products with ADQ Configuration Guide
NVMe*
SDC 2019 Technical Presentation Video
NVMe*
SDC 2019 Technical Presentation

NVMe/TCP with ADQ Using SPDK

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NVMe Over TCP with SPDK Using ADQ Configuration Guide
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NVMe/TCP Using SPDK Solution Brief
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SPDK Home
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SDC2020 NVMe-oF Technical Presentation
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SDC 2020 Technical Presentation – User Space NVMe/TCP
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OFA Virtual Workshop 2020 SPDK Technical Presentation
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OFA Virtual Workshop 2020 SPDK Technical Presentation Video
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SPDK v20.10 Github Page

Pelikan Cache

Twitter
"How Faster Data-Flow Gets Done", Intel and Twitter Collaboration Video
Twitter
Pelikan Cache ADQ Blog: Taming Tail Latency and Achieving Predictability
Twitter
Pelikan Cache ADQ Notes

Redis

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Open Source Redis Solution Brief
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ADQ with Redis Experience Kit Video

Training and User Guides

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Introduction to ADQ
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How ADQ Improves Performance
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Requirements and Capabilities of ADQ
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Networking Tech Field Day
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Networking Tech Field Day with Aerospike
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ADQ Configuration Guide
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ADQ Software Developer’s Guide

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1

Afirmaciones de desempeño realizadas por Twitter con base en sus pruebas internas en octubre de 2020. Para obtener información sobre los resultados de desempeño y análisis de referencia, visite https://www.pelikan.io/2020/benchmark-adq.html.

2Performance claims made by Lightbits Labs based on their internal testing in July 2020 (for further information, see www.lightbitslabs.com/ty-wp-scalable-low-latency-nvme-tcp-storage/). For more complete information about Intel performance and benchmark results, visit www.intel.com/benchmarks.
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