Relatório kori tour 15 05 até 01-07

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Elizabethlopez1380-APLICACION2

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The combination of database systems and cloud computing is extremely attractive: unlimited storage capacities, elastic scalability and as-a-Service models seem to be within reach. This talk will give an in-depth survey of existing solutions for cloud databases that evolved in the last years and provide classification and comparison. This includes real-world systems (e.g. Azure Tables, DynamoDB and Parse) as well as research approaches (e.g. RelationalCloud and ElasTras). In practice however, there are some unsolved problems. Network latency, scalable transactions, SLAs, multi-tenancy, abstract data modelling, elastic scalability and polyglot persistence pose daunting tasks for many scenarios. Therefore, we conclude with „Orestes“ a research approach based on well-known techniques such as web caching, Bloom filters and optimistic concurrency control that demonstrates how existing cloud databases can be enhanced to suit specific applications.

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Pitch auf den Hamburger IT-Strategietagen

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In this talk we share the lessons learned while building out the Baqend Cloud platform on AWS and Docker. Baqend’s AWS-hosted architecture consists of a caching CDN-Layer, global and local load balancing, a group of REST and Node.js servers and a database cluster with Redis and MongoDB. As customers have their own set of containerized REST and Node servers, we needed a cluster that on the one hand is horizontally scalable and on the other hand easily manageable and fault-tolerant from an operational perspective. Today there are at least 4 popular systems that claim to support this: - Kubernetes - Apache Mesos - Docker Swarm - AWS Elastic Container Service (ECS) Thinking that ECS would certainly be the easiest option on AWS, we started building our cluster on it. We quickly came to realize that while ECS was astoundingly stable and easy to use there were inherent limitations that could not be worked around. An old Docker version, missing network isolation, no means of parameterizing task and forced memory constraints are major limitations of ECS we will talk about. Seeing the daunting operational overhead of running Kubernetes or Mesos in practice we turned to Docker’s native clustering solution Swarm. We will present how Swarm works with both Docker and AWS and highlight the advantages and downsides compared to Amazon’s ECS.

Building a Global-Scale Multi-Tenant Cloud Platform on AWS and Docker: Lesson...

Felix Gessert

Nach aktuellem Stand (April 2016) lädt eine durchschnittliche Webseite 2299KB an Daten und macht dafür 100 HTTP Requests. Dass Ladezeiten einen immensen Einfluss auf User-Zufriedenheit und Business-Metriken haben, bezweifelt dieser Tage niemand mehr. Aber die Meinungen darüber mit welchen Techniken sich Ladezeiten effektiv minimieren lassen, gehen weit auseinander. Wir möchten einen völlig neuen Ansatz vorstellen, der in 5 Jahren Forschung im Fachbereich Informatik an der Uni Hamburg entwickelt wurde. Die Idee dahinter ist die wohl älteste Performance-Optimierung der Informatik überhaupt: Caching. Das neue an der Methode liegt darin, dass alle Arten von existierenden Web Caches vom Browser bis zum CDN durch ein paar algorithmischen Tricks dazu in der Lage versetzt werden, stets aktuelle Daten auszuliefern, anstatt mit über den Daumen gepeilten TTLs längst veralteten Content zu verteilen. Das auf Bloomfiltern, Real-Time Query Matching und Machine Learning basierende "Cache Sketch" Verfahren möchten wir im Detail diskutieren und zeigen, wie sich moderne Web-Anwendungen damit drastisch beschleunigen lassen.

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Elizabethlopez1380-APLICACION2

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Koprince sdvosb joint venturing & teaming presentation - el paso august 2012

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Relatório kori tour 15 05 até 01-07

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