Edge 2016 solving everyday problems with next generation mapping
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In this session we look under the covers of Akamai’s Mapping system to show how data and control combine to improve performance across the internet, in local geographies, and in mobile networks.
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Watch the video presentation: http://wp.me/p3RLHQ-f7s
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http://insidehpc.com/newsletter
Going Remote: Running VFX Virtual Workstations
Learn how AWS, along with partners Teradici and Sohonet, enables a virtual workstation environment for VFX content creation. Using AWS G3 instances, this PCoIP solution for creative professionals delivers a pixel perfect, color accurate, fully-interactive native desktop experience for both Windows and Linux platforms. This is ideal for visual effects artists who also require various input peripherals such as latest generation Wacom 8K pressure sensitive tablets and Wacom Cintiq monitors to work as seamlessly as they do on-premises.
Atmosphere 2014: Helping the Internet to scale since 1998 - Paweł Kuśmierski
Akamai runs a network of 150.000 servers distributed among 2.000 locations in 92 countries. It’s constantly outputting Terabits per second, accounting for between 15 and 30% of the Internet’s WWW traffic. Talk will cover the principles of operation of Akamai’s Inteligent Platform, aspects of monitoring and managing consistent configuration on such scale. Speaker will share interesting technical details and general ideas behind the scalability and performance of the Akamai network.
Paweł Kuśmierski - Pawel Kusmierski is a Senior Engineer and Lead of Akamai’s System Operations in Krakow, Poland. He’s responsible for operational oversight of Internet Mapping and Distributed Storage systems. In the past he interned at Google’s Mountain View office as a Software Engineer. He lives with his wife and three year old son in Krakow. Occasionally he finds time to fly sailplanes and build electronic devices.
BGP and Traffic Engineering with Akamai
Akamai provides a global content delivery network (CDN) that serves over 2 trillion requests daily across 200,000 servers in over 130 countries. The presentation discusses peering with Akamai, traffic engineering techniques like route announcements and filtering, and issues to avoid like inconsistent or incomplete route announcements that could impact traffic delivery.
Big Kahuna
The Big Kahuna is a framework that performs massively distributed computation using a grid of stateless transient nodes made up of web browsers, handhelds, and thick clients, making it a truly ubiquitous distributed computing platform without installation or setup overheads. It processes large volumes of highly granular data (<100KB) by leveraging idle time on browsers and local networks. Some key advantages include being zero installation, built on open source technologies, scaling rapidly as more clients are added, and working across devices, browsers, and platforms.
ICN Akamai's Backbone
Akamai built its own multi-service backbone network called ICN (Inter City Network) to connect its server clusters and optimize cache fill and internal traffic flows. ICN connects Akamai deployments across cities and countries on high-speed fiber, avoiding internet routing issues. In 2017 ICN launched in 15 cities and optimized 3Tbps of internal traffic. Akamai plans to expand ICN to more cities in 2018 and offer direct connection services to customers.
Content Growth by Kams Yueng
The document discusses Akamai's peering, security practices, and internet traffic trends. It provides an overview of Akamai's global intelligent platform and CDN technology, including how Akamai maps users to optimal edge servers. It explains why Akamai peers with ISPs to improve performance and reduce costs. It also covers the security issue of open resolvers enabling large DNS amplification attacks and ways to prevent these attacks. Finally, it reviews internet traffic trends, such as rising average connection speeds and the growth of mobile and IPv6 traffic.
EDNS0 Client-Subnet for DNS based CDNs by Matt Jansen
1) EDNS0 client-subnet is a proposed standard that allows recursive resolvers to include the end-user's IP prefix in DNS queries, allowing CDNs like Akamai to map users to optimal edge servers based on their location.
2) Currently, when users query CDNs through third-party DNS servers, the CDN only sees the DNS server's IP and cannot map accurately to the user's location. EDNS0 client-subnet addresses this issue.
3) Early testing shows EDNS0 client-subnet is improving Akamai's ability to map users to closer edge servers, especially for queries through services like Google DNS.
40 - IDNOG03 - Bob Lau (Akamai) - BGP and Traffic Engineering
The document discusses Akamai's content delivery network and traffic engineering with Akamai. It provides an overview of Akamai's global intelligent platform and typical daily traffic volumes. It also covers how Akamai mapping works and why peering with Akamai benefits both Akamai and internet service providers. The document analyzes two scenarios involving traffic tuning during a cable break and issues with incomplete route announcements. It concludes with recommendations for internet service providers to maintain complete route announcements and work with Akamai on traffic engineering solutions.
Distributed Deep Learning on Spark
This document provides an overview of distributed deep learning on Spark. It begins with a brief introduction to machine learning and deep learning. It then discusses why distributed systems are needed for deep learning due to the computational intensity. Spark is identified as a framework that can be used to build distributed deep learning systems. Two examples are described - SparkNet, which was developed at UC Berkeley, and CaffeOnSpark, developed at Yahoo. Both implement distributed stochastic gradient descent using a parameter server approach. The document concludes with demonstrations of Caffe and CaffeOnSpark.
Ceph Day Seoul - Ceph on Arm Scaleable and Efficient
This document discusses how Ceph storage solutions can benefit from ARM-based platforms. It outlines how the ARM ecosystem provides increased efficiency and scale for Ceph through lower costs, higher energy efficiency, and simplified designs. Examples are given of various companies delivering Ceph clusters using ARM processors, including solutions optimized for microservers, converged infrastructure, and enterprise storage. The recent Jewel release of Ceph added support for the AARCH64 instruction set, opening up additional opportunities for Ceph on ARM platforms.
EMC World 2016 - code.16 Running Stateful Services on Cloud Native Platforms ...
Many of today's PaaS systems are focused on stateless applications, scaling them from 1 to infinity and automatically rescheduling them when something goes wrong. But what about the data they create? How can we create scalable data persistence backends for our services to make sure our stored data is highly available? In this session we will demonstrate stateless applications running on PaaS systems, connecting to data persistence layers like relational and NoSQL databases, all running on Mesos and all stored on highly available distributed storage platforms.
Transform into a Cloud-First Business with SAP on AWS and Capgemini’s Cloud C...
Find out how to gain a competitive edge by migrating your SAP workloads to the AWS Cloud with the help of Capgemini’s Cloud Choice services.
You will hear best practices for migrating any existing SAP installation to the AWS Cloud. We will discuss migration pitfalls to avoid as well as real-life tips for reducing complexity, increasing flexibility, lowering risk, and generating cost savings.
Presented at SAPPHIRE NOW 2016.
NetApp Hybrid Cloud with OpenNebula
NetApp’s Hybrid Cloud Infrastructure manages to leverage Kubernetes to a Hybrid Multi Cloud use case where OpenNebula integrates seamlessly. A technical deep dive in how NTS and NetApp integrated NTS Captain into NetApp’s DataFabric world on top of NetApp HC
Clone your Network with OpenNebula
Thomas Higdon from Akamai Technologies discusses how they use OpenNebula to clone virtual machine instances of Akamai's global content delivery network. This allows them to more quickly provision development and testing environments that mimic Akamai's production instances. OpenNebula manages the virtual machines and resources while an Akamai instance service exposes machine types and services. Teams can then use the same instance across development, QA, and testing stages to improve process unification.
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Cloud Delivery: The Path from Simple to Sophisticated
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App-solute Testing: Making App Testing with Akamai Easy
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Ceph Day Tokyo - Ceph on ARM: Scaleable and Efficient
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Atmosphere 2014: Helping the Internet to scale since 1998 - Paweł Kuśmierski
Atmosphere 2014: Helping the Internet to scale since 1998 - Paweł Kuśmierski
EDNS0 Client-Subnet for DNS based CDNs by Matt Jansen
EDNS0 Client-Subnet for DNS based CDNs by Matt Jansen
40 - IDNOG03 - Bob Lau (Akamai) - BGP and Traffic Engineering
40 - IDNOG03 - Bob Lau (Akamai) - BGP and Traffic Engineering
Ceph Day Seoul - Ceph on Arm Scaleable and Efficient
Ceph Day Seoul - Ceph on Arm Scaleable and Efficient
EMC World 2016 - code.16 Running Stateful Services on Cloud Native Platforms ...
EMC World 2016 - code.16 Running Stateful Services on Cloud Native Platforms ...
Transform into a Cloud-First Business with SAP on AWS and Capgemini’s Cloud C...
Transform into a Cloud-First Business with SAP on AWS and Capgemini’s Cloud C...
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Edge 2016 solving everyday problems with next generation mapping
- 1. © AKAMAI - EDGE 2016 Solving Everyday Problems with Next Generation Mapping Liz Borowsky, VP Platform Engineering, Akamai Technologies
- 2. © AKAMAI - EDGE 2016 What do I mean by mapping anyway?
- 3. © AKAMAI - EDGE 2016 A small scale example One Datacenter
- 4. © AKAMAI - EDGE 2016 Mapping: Load Balancing on steroids
- 5. © AKAMAI - EDGE 2016 Mapping Fundamentals Availability • Content is always accessible • Even when machines fail • Even when routing changes • Even when individual networks have problems Performance • The best Quality of Experience • Low latency • High throughput • Plenty of machine resources Primary Problem a CDN Mapping system wants to solve:
- 6. © AKAMAI - EDGE 2016 The two main approaches to mapping AnycastedNameserver Mapped 4.3.2.1
- 7. © AKAMAI - EDGE 2016 Anycast: Features • Conceptually simple • Easy to scale (to a point) Inherently somewhat centralized
- 8. © AKAMAI - EDGE 2016 Anycast: Availability BGP convergence time 30 seconds to up to 5 minutes* * https://labs.ripe.net/Members/vastur/the-shape-of-a-bgp-update
- 9. © AKAMAI - EDGE 2016 Anycast: Performance. US data, Gomez Last Mile tests
- 10. © AKAMAI - EDGE 2016 Anycast: Challenges – Lack of control • Load balancing done by BGP tuning • Hard to use resources efficiently • At the mercy of BGP churn and convergence • Scales only to a point
- 11. © AKAMAI - EDGE 2016 Nameserver Mapping: Availability Better Control 20 seconds to 1 min
- 12. © AKAMAI - EDGE 2016 Nameserver Mapping: Performance Control enables the ability to be widely distributed
- 13. © AKAMAI - EDGE 2016 Challenge: Nameservers far from end users Non-optimal mapping Poor performance
- 14. © AKAMAI - EDGE 2016 Great performance Solution: ECS (EDNS0-Client-Subnet DNS Extension*) *https://trac.tools.ietf.org/html/rfc7871
- 15. © AKAMAI - EDGE 2016 Solution: ECS (EDNS0-Client-Subnet DNS Extension) Average improvements from enablement with openDNS and GoogleDNS
- 16. © AKAMAI - EDGE 2016 Challenge: Scaling the internet Control = Opportunity
- 17. © AKAMAI - EDGE 2016 Challenge: Mobile End Users End users go through mobile gateways Combine clustering with ECS, but use the Gateway IP Subnet
- 18. © AKAMAI - EDGE 2016 Start of a solution: Mobile gateway clustering
- 19. © AKAMAI - EDGE 2016 Challenge: Scaling the internet Control = Opportunity
- 20. © AKAMAI - EDGE 2016 Challenge: Congested peering on the global internet Distribute load Avoid congestion
- 21. © AKAMAI - EDGE 2016 Distribute load away from congested peering • Measure throughput • Map away if throughput degrades • Use distributed platform to get content close to the end user • Offload overloaded peering links
- 22. © AKAMAI - EDGE 2016 Early results
- 23. © AKAMAI - EDGE 2016 Challenge: Congested peering on the global internet Distribute load Avoid congestion
- 24. © AKAMAI - EDGE 2016 The Future With control comes opportunity… • ECS in more networks • More metrics and data • More control to give better performance • More control to help the internet scale • Strategic anycast – best of both worlds
- 25. © AKAMAI - EDGE 2016 Questions? 問題 Fragen שאלות domande 質問 질문 frågor preguntas Вопросы pytania اﻷﺳﺋﻠﺔ vrae Sorular spørsmål