Welcome!

SDN Journal Authors: Elizabeth White, Yeshim Deniz, Liz McMillan, Pat Romanski, TJ Randall

Related Topics: SDN Journal, Containers Expo Blog, @CloudExpo

SDN Journal: Blog Post

Software Defined Networking | Part 1 By @MJannery | @CloudExpo [#SDN #Cloud]

Now, Never, Don't Know?

I'm often asked about Software Defined Networking (SDN) and when is the best time to implement a strategy. Customers and prospects are often unsure whether to embrace SDN now, soon or hold off for now. To help clarify my perspective, I've written a 10-part blog series.  I'll be posting the entire series over the next five weeks and welcome any direct questions or thoughts from you.

Background on SDN.

The primary goal of SDN is the separation of the data plane from the control plane and centralization of the control plane intelligence enabling holistic network routing decisions to be made.  The data plane is then free to pass packets in an efficient per-hop manner proscribed by the control plane using virtual overlay (or underlay) networks.  Virtual networks are not new and have existed in many forms over many years - for example MPLS, VPNs, ATM, Frame Relay, VLANs, etc.  SDN aims to decouple the overlay from specific hardware technologies and to provide pan-network overlay controllers which perform provisioning thus significantly increasing network agility.  These controllers are able to dynamically reconfigure network paths to avoid congestion, implement new services, add in-path virtual infrastructure, etc.

Network Function Virtualization (NFV) and SDN are related, though it is possible to implement either one in isolation or both together.  NFV has been evolving for some time and most enterprises have deployed some form of virtualized switches, load balancers, WAN accelerators, firewalls, etc.  The virtualization of such network functions enables rapid virtual appliance instantiation and relocation for optimal placement and/or appliance distribution - e.g. pushing firewall capability out throughout the network rather than simply occurring at fixed physical (or virtual) network locations.

Later this week in part 2 of the series, I'll cover overlay SDN and underlay SDN.

More Stories By Michael Jannery

Michael Jannery is CEO of Entuity. He is responsible for setting the overall corporate strategy, vision, and direction for the company. He brings more than 30 years of experience to Entuity with 25 years in executive management.

Prior to Entuity, he was Vice President of Marketing for Proficiency, where he established the company as the thought, technology, and market leader in a new product lifecycle management (PLM) sub-market. Earlier, Michael held VP of Marketing positions at Gradient Technologies, where he established them as a market leader in the Internet security sector, and Cayenne Software, a leader in the software and database modeling market. He began his career in engineering.

CloudEXPO Stories
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully been able to harness the excess capacity of privately owned vehicles and turned into a meaningful business. This concept can be step-functioned to harnessing the spare compute capacity of smartphones that can be orchestrated by MEC to provide cloud service at the edge.
All zSystem customers have a significant new business opportunity to extend their reach to new customers and markets with new applications and services, and to improve the experience of existing customers. This can be achieved by exposing existing z assets (which have been developed over time) as APIs for accessing Systems of Record, while leveraging mobile and cloud capabilities with new Systems of Engagement applications. In this session, we will explore business drivers with new Node.js apps for delivering enhanced customer experience (with mobile and cloud adoption), how to accelerate development and management of SoE app APIs with API management.
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addressed the challenges of scaling document repositories to this level; architectural approaches for coordinating data; search and storage technologies, Solr, and Amazon storage and database technologies; the breadth of use cases that modern content systems need to support; how to support user applications that require subsecond response times.
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage of data and analytics in the cloud, Architecture, integration, governance and security scenarios and Key challenges and success factors of moving data and analytics to the cloud
For years the world's most security-focused and distributed organizations - banks, military/defense agencies, global enterprises - have sought to adopt cloud technologies that can reduce costs, future-proof against data growth, and improve user productivity. The challenges of cloud transformation for these kinds of secure organizations have centered around data security, migration from legacy systems, and performance. In our presentation, we will discuss the notion that cloud computing, properly managed, is poised to bring about a digital transformation to enterprise IT. We will discuss the trend, the technology and the timeline for adoption.