Cloud Architecture + Cloud Architects / Jan 24th 2012

Vortrag bei der OOP 2012

Technology Business

Cloud Architecture
Cloud Architects
Lothar Wieske

DB Systel GmbH

Architecture

http://www.flickr.com/photos/hyperbolation/5604483549/

fundamental concepts or properties
of a system in its environment
embodied in its
elements, relationships, and in the
principles of its design and evolution

IEEE 42010

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Infrastructure Platform Software
as-a as-a as-a
Service Service Service

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Choices

Concerns

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Costing

OpEx

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Agility

DevOps

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Process

Self Service

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Availability

Always On

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Resiliency

Elasticity

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Stability

Zones

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Security

Off Premise

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Compute

Concurrency

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Storage

Consistency

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Network

Commodity

15
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Platform

Service Locator

Dependency Injection

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Information

Big Data

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Identity

Federation

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Enterprise
Desktop
Application Application
Cloud
Cloud

Workplace
Enterprise
Cloud
Cloud

Commodity Social
Cloud Cloud

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Tim Bray: Doing IT Wrong
The community of developers whose work you see on the Web, who
probably don’t know what ADO or UML or JPA even stand for,
deploy better systems at less cost in less time at lower risk than we
see in the Enterprise.

Obviously, the technology matters. This isn’t the place for details, but
apparently the winning mix includes dynamic languages and Web
frameworks and TDD and REST and Open Source and NoSQL at
varying levels of relative importance.

More important is the culture: iterative development, continuous
refactoring, ubiquitous unit testing, starting small, gathering user
experience before it seems reasonable. All of which, to be fair, I
suppose had its roots in last decade’s Extreme and Agile movements.

Business

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Technology

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Economics

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Legal

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Ecology

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Provision EC2, RDS and ELB

Provision with Knife (Chef)

Setup OpenStack Diablo

Deploy on CloudFoundry

Deploy with MYSQL/PGSQL

Develop Mobile AWS Application

Setup Continuous Delivery

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Cloud Computing stellt höchste Anforderungen an Dateisysteme und Datenbanken. Mit Klassikern wie dem Google Bigtable und Amazon Dynamo haben die Pioniere neue Architekturkonzepte hervorgebracht. Apache Cassandra (Facebook) ist ein Beispiel für eine verteilte, skalierbare, performante und schemafreie Datenbank mit Eventual Consistency. Cassandra hebt ein Bigtable-Datenmodell auf eine DynamoPlattform, d. h. Cassandra bietet einen strukturierten Speicher für Schlüssel/Werte-Zuordnungen mit Eventual Consistency. Cassandra ist in Java implementiert und lädt zum Experimentieren ein.

Digital Disruption

Digital, disruptiv, Industrie 4.0 und IoT … eigentlich mag man es gar nicht mehr hören. Rauf und runter wetteifern die Medien mit immer neuen reißerischen Titeln: „Wir verschlafen die Entwicklung“, „Wir verspielen den Standort“. So oder so ähnlich klingen die Kassandrarufe. Vielleicht führt aber eher der Schwall an Bezeichnungen und die Unschärfe ihrer Verwendung zur Abstumpfung potenzieller Empfänger. Deswegen will dieser Artikel das begriffliche Gerüst etwas ordnen. Denn die Digitale Disruption ist da. Sie wächst, dringt immer weiter vor und beschleunigt unser aller Leben.

Cloud Computing im Unternehmen / Jan 25th 2011

Dateisysteme und Datenbanken im Cloud Computing

Cloud Computing transformiert die Informationstechnik. Die Konzepte zum Storage fallen bei den Anbietern von Infrastructure-as-a-Service und Platform-as-a-Service einstweilen noch recht unterschiedlich aus. Ein Überblick über Blob, Block, Queue und Table Storage stellt die Möglichkeiten vor. In Minutenschnelle zur relationalen Datenbank mit automatischem Backup- und Patch-Management? Auch dazu gibt es einen Einstieg. Die Erläuterungen des theoretischen Hintergrunds des CAP-Theorems und der praktischen Nutzung von Eventual Consistency machen Sie fit, sich mit Amazon Dynamo, Google Bigtable und Apache Cassandra zu beschäftigen.

Elastic Compute Cloud: Darf es noch ein Server mehr sein?

Die Elastic Compute Cloud (EC2) von Amazon erlaubt die Nutzung von Compute/Network/Storage ferngesteuert über Web Services. Wir werden vertiefen, wie die Steuerung von EC2 über Web Services und über die Kommandozeile funktioniert. In einer Application Tier werden wir Tomcat-Instanzen hinter einem Load Balancer anlegen und die Zahl der Instanzen automatisch an die Last anpassen (Auto Scaling und Elastic Load Balancing). Und als Database Tier werden wir eine Oracle-Datenbank und einen Relational Database Service (Automatisiertes Backup- und Patch-Management) aufsetzen.

Jumping Jack Flash

Cloud Computing erobert längst die Herzen und Budgets von Managern und IT-Bereichen. Kommt da wirklich etwas Neues, oder etikettieren wir nur wieder einmal Produkte und Initiativen um? Ist Cloud Computing mehr als nur die Verlängerung der Innovationen rund um Virtualisierung, Standardisierung und Automatisierung? Wir lernen in diesem Artikel die Architekturklassen ACID und BASE zu unterscheiden, warum und wie uns das CAP-Theorem als Architekten eindeutige Entscheidungen abverlangt und schauen in die Wiege des Cloud Computings sowie hinter die Kulissen großer Websites wie Amazon und Google.

The number of microservices running in enterprises increases daily. As a result, service composition, governance, security, and observability are becoming a challenge to implement and incorporate. A “cell-based” architecture is an approach that can be applied to current or desired development and technologies to address these issues. This technology-neutral approach helps cloud-native dev teams become more efficient, act in a more self-organized manner, and speed overall release times. In this talk, Asanka will introduce the “cell-based” reference architecture, which is API-centric, cloud-native and microservices friendly. He will explain the role of APIs in the cell-based approach, as well as examine how real applications are built as cells. Asanka will explore the metrics and approaches that can be used to measure the effectiveness of the architecture and explore how organizations can implement the cell approach.

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Cloud Computing - Technology Radar 2015 / Apr 27th 2015

How to be Successful in the DevOps Business

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Cell-based Architecture: OReilly Software Architecture Conference NY 2019

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Innovation im Spannungsfeld des „Weg-Von“ und dem „Hin-Zu“ - 19/11/2019

Vor einigen Jahren hatte in Deutschland ein richtiger Silicon-Valley Tourismus seinen Einzug gehalten. Reihenweise zogen erweitere Vorstandsteams ins Tal der Täler um Ideen auf- und abzusaugen, wie man das eigene Unternehmen als deutsches Google aufstellen oder gar einen der großen Digital-Vorbilder direkt Konkurrenz machen könne. Ernüchterung machte sich breit. Zuviel des “Hin-Zu” und zuwenig eines “Weg-Von”. Mit einfachem Nachahmen ist Digitalisierung nicht zu meistern und die vollkommen andere Genese von bspw. Facebook, Stanford und Valley läßt sich nicht so einfach wegabstrahieren. Aus der praktischen Erfahrung in verschiedenen Szenarien leitet der Vortrag eine Synthese der Arbeiten von Elisabeth Kübler-Ross zu Trauerphasen und von Frederic Laloux zu Kulturskripten her. Damit können neben dem Aufstellen der technologischen Roadmaps auch verzahnte weichere Themen des – unternehmerischen und gesellschaftlichen – Wandels verstanden, eingeordnet und gestaltet werden.

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Die Public Cloud von Amazon segelt als Flaggschiff des Cloud Computings voran und nimmt immer mehr Passagiere an Bord. Infrastructure-as-a-Service mit Amazon Web Services – wie funktioniert das eigentlich und wie bediene ich die Elastic Compute Cloud, den Simple Storage Service und die CloudFront? Wir stellen die zugrunde liegenden Konzepte vor und veranschaulichen sie an Beispielen zum Nachmachen. Wir werden Server in EC2 starten, Objekte in S3 ablegen und eine Website mit CloudFront weltweit ausrollen – dafür benötigen wir einen Browser. Es kostet uns ungefähr eine Stunde Zeit und etwa einen Euro.

Vom Utility Computing zum Cloud Computing