Cybera - Clouds & other computational frameworks for science

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This document discusses the Cloud Enabled Space Weather Platform (CESWP) project. It provides definitions of cloud computing concepts like deployment models, service models, and essential characteristics from NIST. The CESWP focuses on the Infrastructure as a Service (IaaS) model using Amazon Web Services and Eucalyptus. It presents the logical view of CESWP across universities and its use cases like collaboration, model development, simulations, and virtual machine maintenance. The document concludes with contact information for questions and a demo.

Technology News & Politics

Cloud
Enabled
Space
Weather
Pla4orm

•  Evere7
Toews

•  John
Shillington

•  Barton
Satchwill

The
Cloud
-‐
A
Working
DeﬁniDon

NIST:
h7p://csrc.nist.gov/groups/SNS/cloud-‐compuDng/cloud-‐def-‐v15.doc

•  EssenDal
CharacterisDcs:

•  Deployment
Models:

–  On-‐demand
self-‐service
–  Private
cloud

–  Broad
network
access
–  Community

–  Resource
pooling
–  Public
cloud

–  Rapid
elas9city
–  Hybrid
cloud

–  Measured
service

•  Service
Models:

–  SoOware
as
a
Service
(SaaS):
web-‐based
email

–  Pla4orm
as
a
Service
(PaaS):
Google
AppEngine

–  Infrastructure
as
a
Service
(IaaS):
Amazon
Web
Services

CESWP
Focus:
IaaS

•  Amazon
Web
Services
(AWS)

•  Eucalyptus
(AWS
API
CompaDble)

Web Browser SOAP-based tools REST-based tools
Node
Controller

VM
VM

Cloud Controller Walrus
App
App
App
App

Cluster A Cluster B

Cluster Controller Storage Controller Cluster Controller Storage Controller Guest
OS
Guest
OS

Node Controller Node Controller Hypervisor

Node Controller Node Controller OperaDng
System

Node Controller Node Controller Hardware

CESWP
Logical
View
(circa
Sept.
2011)

Peking
U
U
New
Brunswick

U
Alberta

U
Waterloo

UCLA

CESWP
Use
Cases

•  CollaboraDon

Provenance

•  Model
development

•  Run
simulaDons

•  Virtual
Machine
Maintenance

Conclusion

•  QuesDons

•  Demo

•  Evere7
Toews:
evere7.toews@cybera.ca

•  Cybera:
www.cybera.ca

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armincoralic

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Serverless in azure

Veresh Jain

Why Not Public Cloud?

Matt Ray

Kubernetes on AWS gone wild

Christian Jantz

This document discusses using Kubernetes on AWS and provides tips across three main topics: designing clusters, installation, and operations. For design, it recommends automating as much as possible, properly sizing clusters based on network and server capacities, and using permissions and tags to control access. For installation, it discusses using multiple AWS accounts for access control and tools like Kops to deploy and manage clusters. For operations, it discusses using AWS services for databases and logging instead of running them on Kubernetes, and considerations for custom registries and secrets. The overall message is how to leverage AWS services while deploying and managing Kubernetes clusters at scale.

Infrastructure as Code

Robert Greiner

Today, the development and operations landscape has shifted to a more collaborative model merging the two (DevOps). Developers need to know much more about the operational components of their software - especially around network programming, services development, and continuous deployment. Likewise, the developer's IT counterpart needs to know much more about development - especially around infrastructure automation (Chef/Puppet), automated testing, and continuous deployment.

Exploring Microservices in a Microsoft Landscape

Alex Thissen

During this session, you'll have a look at how to realize a Microservices architecture (MSA) using the latest Microsoft technologies available. We will start with the fundamental theories behind MSA and show you how this can be realized with Microsoft technologies such as Azure Service Fabric. This session is a real must-see for any developer that wants to stay ahead of the curve in modern architectures

AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...

Amazon Web Services

Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads. By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager. Learning Objectives: How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering Who should attend: IT administrators, rendering and visual effects professionals

Migrating to the serverless mindset

Dmitriy Gumeniuk

IP Multicast on ec2

Kenta Yasukawa

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Radu Vunvulea

Microservices CI/CD automation inside Microsoft Azure: This session represents the journey that we need to follow when we start to implement a microservice solution using Azure Kubernetes Service (AKS). Except for the microservices themselves, there are a lot of other things that we need to be aware if we want to have an automated system where we focus only on the functionality and nothing more. Join this session if you want to discover the world of Azure DevOps and how you can configure a CI/CD environment in 30 minutes.

Cnam azure 2014 storage

Aymeric Weinbach

This document provides an overview of SQL Azure and Windows Azure Storage. SQL Azure allows hosting SQL databases in the cloud with high availability, load balancing, and provisioning via a portal or REST API. Applications can access SQL Azure databases using standard SQL libraries. Windows Azure Storage provides durable, highly available cloud storage for blobs, tables, queues and disks. It features global replication for redundancy and uses load balancing to scale out storage worldwide.

Best Practices with Azure Kubernetes Services

QAware GmbH

- AKS best practices discusses cluster isolation and resource management, storage, networking, network policies, securing the environment, scaling applications and clusters, and logging and monitoring for AKS clusters. - It provides an overview of the different Kubernetes offerings in Azure (DIY, ACS Engine, and AKS), and recommends using at least 3 nodes for upgrades when using persistent volumes. - The document discusses various AKS networking configurations like basic networking, advanced networking using Azure CNI, internal load balancers, ingress controllers, and network policies. It also covers cluster level security topics like IAM with AAD and RBAC.

AKS

girish goudar

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Alex Thissen

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Docker for Ops: Operationalize your Docker Built Apps in Production by Evan H...

Docker, Inc.

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