Welcome!

Containers Expo Blog Authors: Pat Romanski, Yeshim Deniz, Elizabeth White, Liz McMillan, Zakia Bouachraoui

Related Topics: @CloudExpo, Microservices Expo, Open Source Cloud, Containers Expo Blog, Machine Learning , Apache

@CloudExpo: Blog Feed Post

Connecting Clouds as Easy as 1-2-3

Cloud Connector iApp makes a hybrid cloud based on Amazon AWS a snap

Hybrid cloud models continue to outpace pure-public (and pure-private) models for most organizations. There's value in being able to leverage the cloud for a variety of reasons from periodic, expanding compute resources to dev and test environments. Whatever the reason, hybrid models are here to stay.

One of the difficulties experienced in executing on such models, however, is connecting them to the corporate cloud or data center. Sure, the model is simple: simply deploy resources in the public cloud and leverage them as expandable compute from the private cloud/data center. But to do that requires a way to leverage them. You need to connect them together in such a way as to make those externally deployed resources appear to be part of the data center.

That's where cloud bridges come in handy. Cloud bridges, as we've previously defined, integrate environments at the network layer – extending the operational domain into remote environments such as public cloud. Bridges are the "connective tissue" that is the basis for a hybrid cloud.

Configuring them, however, remains a challenge. There's core networking and security that must be defined and governed, routes determined, and monitoring enabled. Then there's the task of making sure remote resources are accessible, that they're also monitored and can be used as part of an elastic application scalability model. This is the "on-demand capacity" or "cloud bursting" model cited by Gartner DC attendees as the most compelling use-case for hybrid cloud.

It isn't easy.

One of the ways F5 is dedicated to making such tasks easier, however, is through its iApp technology. iApps capture core common configuration, enable simple wizard-like entry of deployment-specific parameters, and handle the chore of getting all that information turned into a working configuration for a wide variety of operational tasks associated with application delivery.

In this case, the iApp in question is focused on connecting clouds.

The Cloud Connector iApp

The Cloud Connector iApp was developed specifically to support a hybrid cloud model for Amazon AWS (VPC) environments. It was developed in conjunction with F5's latest virtualized ADN offering, BIG-IP for AWS, and is generally available Dec 15.

The Cloud Connector iApp performs different tasks depending on what it is configuring. When it is in remote mode (i.e. in the Amazon AWS VPC) it sets up all networking (VLANs, Self-IPs, routes, and a WOM endpoint) for a remote data center (a single-tenant BIG-IP LTM VE).

In local (or data center) mode, the iApp configures WAN optimization and the WOM iSession as well as WOM virtual sessions in the local data center where networking is already configured.

There are also Device and Traffic Group options for the application being configured. This is part of the Device Management configuration, and extends the existing high availability infrastructure and allows for clustering, granular control of configuration synchronization and failover.

It is this capability that provides for operational consistency between environments, ensuring that configuration on both BIG-IP LTM instances are applying the same policies. This synchronization can be tailored to only synchronize specific aspects. This allows for differences that provide value and enhance delivery, such as fine-tuning acceleration or TCP-related options to fit the environment.

You can download the new iApp here on DevCentral (may require login or free registration) in the F5 Contributed iApp Templates section under "Cloud Connector".

Simply download the iApp to a location accessible from your BIG-IP system, extract the zip file, and import via your BIG-IP system web-based configuration utility.

Detailed instructions:

  • Download and import the iApp
    1. Open a web browser and enter the following URL (you may be required to login or complete
    a free registration):
    2. In the F5 Contributed iApp Templates section, click Cloud Connector.
    3. Download the Cloud Connector iApp to a location accessible from your BIG-IP system.
    4. Extract (unzip) the Cloud Connector zip file.
  • Import into the BIG-IP system
    1. Log on to the BIG-IP system web-based Configuration utility, and then perform the following:
      1. On the Main tab, expand iApp, and then click Templates.
      2. Click the Import button on the right side of the screen.
      3. Click the Browse button, and then browse to the location you saved the iApp file.
      4. Click the Upload button.
      5. Perform step 6 on the other BIG-IP system.

The iApp is now available for use.

Happy Cloud Bursting!

Read the original blog entry...

More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

IoT & Smart Cities Stories
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
DXWorldEXPO LLC announced today that Ed Featherston has been named the "Tech Chair" of "FinTechEXPO - New York Blockchain Event" of CloudEXPO's 10-Year Anniversary Event which will take place on November 12-13, 2018 in New York City. CloudEXPO | DXWorldEXPO New York will present keynotes, general sessions, and more than 20 blockchain sessions by leading FinTech experts.
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Ben Perlmutter, a Sales Engineer with IBM Cloudant, demonstrated techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user e...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
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 outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy.
Rodrigo Coutinho is part of OutSystems' founders' team and currently the Head of Product Design. He provides a cross-functional role where he supports Product Management in defining the positioning and direction of the Agile Platform, while at the same time promoting model-based development and new techniques to deliver applications in the cloud.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Bi...