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AWS Broke the Internet Again or, Better, a Typo | @CloudExpo #AI #ML #DL
An AI-defined infrastructure can help to avoid service disruptions

Amazon Web Services (AWS) broke the Internet again or better "a typo". On February 28, 2017, an Amazon S3 service disruption in AWS' oldest region US-EAST-1 shuts down several major websites and services like Slack, Trello, Quora, Business Insider, Coursera and Time Inc. Other users were reporting that they were also unable to control devices which were connected via the Internet of Things since IFTTT was also down. Those kinds of disruptions are becoming more and more business critical for today's digital economy. To prevent these situations, cloud users should always consider the shared responsibility model in the public cloud. However, there are also ways where Artificial Intelligence (AI) can help. This article describes that an AI-defined Infrastructure respectively an AI-powered IT management system can help to avoid service disruptions of public cloud providers.

Amazon S3 Service Disruption - What has happened
After every service disruption AWS writes a summary of what was going on during an incident. This is what happened on the morning of February 28.

"The Amazon Simple Storage Service (S3) team was debugging an issue causing the S3 billing system to progress more slowly than expected. At 9:37AM PST, an authorized S3 team member using an established playbook executed a command which was intended to remove a small number of servers for one of the S3 subsystems that is used by the S3 billing process. Unfortunately, one of the inputs to the command was entered incorrectly and a larger set of servers was removed than intended. The servers that were inadvertently removed supported two other S3 subsystems.  One of these subsystems, the index subsystem, manages the metadata and location information of all S3 objects in the region. This subsystem is necessary to serve all GET, LIST, PUT, and DELETE requests. The second subsystem, the placement subsystem, manages allocation of new storage and requires the index subsystem to be functioning properly to correctly operate. The placement subsystem is used during PUT requests to allocate storage for new objects. Removing a significant portion of the capacity caused each of these systems to require a full restart. While these subsystems were being restarted, S3 was unable to service requests. Other AWS services in the US-EAST-1 Region that rely on S3 for storage, including the S3 console, Amazon Elastic Compute Cloud (EC2) new instance launches, Amazon Elastic Block Store (EBS) volumes (when data was needed from a S3 snapshot), and AWS Lambda were also impacted while the S3 APIs were unavailable."

Read more under "Summary of the Amazon S3 Service Disruption in the Northern Virginia (US-EAST-1) Region".

Bottom line, a typo crashed the AWS powered Internet! AWS outages already have a long history and the more AWS customers running their web infrastructure on the cloud giant, the more issues end customers will experience in the future. According to SimilarTech only Amazon S3 is already used by 152,123 websites and 124,577 unique domains.

However, following the philosophy of "Everything fails all the time (Werner Vogels, CTO Amazon.com)" means if you are using AWS you must "Design for Failure".  Something cloud role model and video on demand provider Netflix is doing in perfection. In doing so, Netflix has developed its Simian Army an open source toolset everyone can use to run a cloud infrastructure on AWS high-available.

Netflix "simply" uses the two levels of redundancy AWS offers. Multiple regions and multiple availability zones (AZ). Multiple regions are the masterclass of using AWS, very complex and sophisticated since you must build and manage entire separated infrastructure environments within AWS' worldwide distributed cloud infrastructure. Multiple AZs are the preferred and "easiest" way for high availability (HA) on AWS. In this case, the infrastructure is built within more than one data center (AZ). In doing so, a single region HA architecture is deployed in at least two or more AZs - a load balancer in front of it is controlling the data traffic.

However, even if "typos" shouldn't happen the recent accident shows, that human error is still the biggest issue running IT systems. In addition, you can blame AWS only to a certain extend since the public cloud is about shared responsibility.

Shared Responsibility in the Public Cloud
An important public cloud detail is the self-service. Depending on its DNA the providers are only taking responsibility for specific areas. The customer is responsible for the rest. In the public cloud, it is about sharing responsibilities - this model is called Shared Responsibility. The provider and its customers divide the field of duties among themselves. In doing so, the customer's self-responsibility plays a major role. In the context of IaaS utilization, the provider is responsible for the operations and security of the physical environment. He is taking care of:

  • Set up and maintenance of the entire data center infrastructure.
  • Deployment of compute power, storage, network and managed services (like databases) and other micro services.
  • Provisioning the virtualization layer customers are using to demand virtual resources at any time.
  • Deployment of services and tools customers can use to manage their areas of responsibility.

The customer is responsible for the operations and security of the logical environment. This includes:

  • Set up of the virtual infrastructure.
  • Installation of operating systems.
  • Configuration of networks and firewall settings.
  • Operations of own applications and self-developed (micro) services.

Thus, the customer is responsible for the operations and security of his own infrastructure environment and the systems, applications, services, as well as stored data on top of it. However, providers like Amazon Web Services or Microsoft Azure provide comprehensive tools and services customers can use e.g. to encrypt their data as well as ensure identity and access controls. In addition, enablement services (micro services) exist that customers can adopt to develop own applications more quickly and easily.

In doing so, the customer is all alone in its area of responsibility and thus must take self-responsibility. However, this part of the shared responsibility can be done by an AI-defined IT management system respectively an AI-defined Infrastructure.

An AI-defined Infrastructure can help to avoid Service Disruptions
An AI-defined Infrastructure can help to avoid service disruptions in the public cloud. However, the basis of this kind of infrastructure is a General AI that combines three major human abilities that enable enterprises to tackle IT and business process challenges.

  • Understanding: By creating a semantic data map the General AI understands the world of the company in which its IT and business exists.
  • Learning: By creating Knowledge Items the General AI learns best practices and reasoning from experts. Knowledge is taught in atomic pieces of information (Knowledge Items) that represent separate steps of a process.
  • Solving: With machine reasoning problems are solved in ambiguous and changing environments. The General AI dynamically reacts to the ever-changing context, selecting the best course of action. Based on machine learning the results are optimized through experiments.

To put this into the context of an AWS service disruption:

  • Understanding: The General AI creates a semantic map of the AWS environment as part of the world in which the company exists.
  • Learning: IT experts create Knowledge Items while they are configuring and working with AWS from what the General AI learns best practices. Thus, the experts teach the General AI contextual knowledge that includes what, when, where and why something needs to be done - for example when a specific AWS service is not responding.
  • Solving: The General AI dynamically reacts to incidents based on the learned knowledge. Thus, the AI (probably) knows what to do at this very moment - even if no high availability setup was considered from the beginning.

Frankly speaking, everything described above is no magic. Like every new born organism an AI-defined Infrastructure needs to be trained but afterwards can work autonomously as well as can detect anomalies as well as service disruptions in the public cloud and solve them. Therefore, you need the knowledge of experts who have a deep understanding of AWS and how the cloud works in general. These experts need to teach the General AI with their contextual knowledge that includes not only what, when and where but also why. They have to teach the AI with atomic pieces (Knowledge Items, KI) that can be indexed and prioritized by the AI. Context and indexing enable this KIs to be combined to form many solutions.

KIs created by various IT experts create pooled expertise that is further optimized by machine selection of best knowledge combinations for problem resolution. This type of collaborative learning improves process time task by task. However, the number of possible permutations grows exponentially with added knowledge. Connected to a knowledge core, the General AI continuously optimizes performance by eliminating unnecessary steps and even changing routes based on other contextual learning. And the bigger the semantic graph and knowledge core gets, the better and more dynamically the infrastructure can act in terms of service disruptions.

On a final note, do not underestimate the "power of we"! Our research at Arago revealed that with an overlap of 33 percent in basic knowledge, this knowledge can and is used outside a specific organizational environment, i.e. across different client environments. The reuse of knowledge within a client is up to 80 percent. Thus, exchanging basic knowledge within a community becomes imperative from an efficiency perspective and improve the abilities of the General AI.

About Rene Buest
Rene Buest is Director of Market Research & Technology Evangelism at Arago. Prior to that he was Senior Analyst and Cloud Practice Lead at Crisp Research, Principal Analyst at New Age Disruption and member of the worldwide Gigaom Research Analyst Network. At this time he was considered a top cloud computing analyst in Germany and one of the worldwide top analysts in this area. In addition, he was one of the world’s top cloud computing influencers and belongs to the top 100 cloud computing experts on Twitter and Google+. Since the mid-90s he is focused on the strategic use of information technology in businesses and the IT impact on our society as well as disruptive technologies.

Rene Buest is the author of numerous professional technology articles. He regularly writes for well-known IT publications like Computerwoche, CIO Magazin, LANline as well as Silicon.de and is cited in German and international media – including New York Times, Forbes Magazin, Handelsblatt, Frankfurter Allgemeine Zeitung, Wirtschaftswoche, Computerwoche, CIO, Manager Magazin and Harvard Business Manager. Furthermore he is speaker and participant of experts rounds. He is founder of CloudUser.de and writes about cloud computing, IT infrastructure, technologies, management and strategies. He holds a diploma in computer engineering from the Hochschule Bremen (Dipl.-Informatiker (FH)) as well as a M.Sc. in IT-Management and Information Systems from the FHDW Paderborn.

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The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of...
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CloudEXPO Stories
Everyone wants the rainbow - reduced IT costs, scalability, continuity, flexibility, manageability, and innovation. But in order to get to that collaboration rainbow, you need the cloud! In this presentation, we'll cover three areas: First - the rainbow of benefits from cloud collaboration. There are many different reasons why more and more companies and institutions are moving to the cloud. Benefits include: cost savings (reducing on-prem infrastructure, reducing data center foot print, reducing IT support costs), enabling growth (ensuring a highly available, highly scalable infrastructure), increasing employee access & engagement (by having collaboration tools that are usable and available globally regardless of location there will be an increased connectedness amongst teams and individuals that will help increase both efficiency and productivity.)
They say multi-cloud is coming, but organizations are leveraging multiple clouds already. According to a study by 451 Research, only 21% of organizations were using a single cloud. If you've found yourself unprepared for the barrage of cloud services introduced in your organization, you will need to change your approach to engaging with the business and engaging with vendors. Look at technologies that are on the way and work with the internal players involved to have a plan in place when the inevitable happens and the business begins to look at how these things can help affect your bottom line.
Excitement and interest in APIs has skyrocketed in recent years. However, if you ask a room full of IT professionals "What is an API", you will get a wide array of answers. There exists a wide knowledge gap between API experts and those that have a general idea of what they are, but are unsure of what they have been for in the past, what they look like now, and how they can be used to expand your business in the future. In this session John will cover what the history of APIs, what an API looks like now, how APIs are used today, and why they are important to your entire organization and digital transformation. John will also cover how you can use APIs to lead your digital transformation and uncover new business opportunities within your organization.
The now mainstream platform changes stemming from the first Internet boom brought many changes but didn’t really change the basic relationship between servers and the applications running on them. In fact, that was sort of the point. In his session at 18th Cloud Expo, Gordon Haff, senior cloud strategy marketing and evangelism manager at Red Hat, will discuss how today’s workloads require a new model and a new platform for development and execution. The platform must handle a wide range of recent developments, including containers and Docker, distributed resource management, and DevOps tool chains and processes. The resulting infrastructure and management framework must be optimized for distributed and scalable applications, take advantage of innovation stemming from a wide variety of open source projects, span hybrid environments, and be adaptable to equally fundamental changes happen...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San Francisco which creates an "Outcomes-Centric Business Analytics" degree." Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business...

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Vector

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LESTER
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TRELOAR
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SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

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POTTER
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WSO2 Inc

MEINER
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CHOU
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HARRISON
Tufin

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VMware

KIM
MapR

KANE
Dyn

SICULAR
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TURNER
Cloudian

KUMAR
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ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
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SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
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Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOMBERG
Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
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HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCININNI
EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMINGHAM
SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRYMPLE
EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
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General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


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Digital Transformation Blogs
Excitement and interest in APIs has skyrocketed in recent years. However, if you ask a room full of IT professionals "What is an API", you will get a wide array of answers. There exists a wide knowledge gap between API experts and those that have a general idea of what they are, but are unsure of what they have been for in the past, what they look like now, and how they can be used to expand your business in the future. In this session John will cover what the history of APIs, what an API looks like now, how APIs are used today, and why they are important to your entire organization and digita...
DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the 22nd International CloudEXPO | DXWorldEXPO "Early Bird Registration" is now open. Register for Full Conference "Gold Pass" ▸ Here (Expo Hall ▸ Here)
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San Francisco which creates an "Outcomes-Centric Business Analytics" degree." Bill Schmarzo, auth...