Linux Containers Authors: Elizabeth White, Roger Strukhoff, Yeshim Deniz, Pat Romanski, Liz McMillan

Related Topics: SDN Journal, Java IoT, Linux Containers, Containers Expo Blog, @CloudExpo, @DXWorldExpo

SDN Journal: Blog Feed Post

What a Network Engineer Does

Network Engineering workflow can be characterized by overlapping cycles of Activity and Modeling

In a previous article, we talked about “Short T’s.”  We talked about how, in network engineering, the “T” is very long:  Configuring a network to achieve business goals requires considerable skill and knowledge.  While we set up a conceptual model in that post to talk about what “T” means in general terms, we did not discuss in detail how to articulate “T” more specifically for network engineering.  In this post, we’ll explore this in a little more detail.

The NetEng Cycle

Figure 1: The Network Engineering Cycle

Network Engineering workflow can be characterized by overlapping cycles of Activity and Modeling.  In figure 1, I have depicted 4 cycles.  From smallest timescale to largest, these are called:  1. Referential Traversal, 2. Interactive, 3. Design, and 4. Architecture.  The crest of each of these cycles is “Activity” and the trough is “Modeling.”  Modeling on the smaller cycles is simple and correlative, while on the larger cycles it is more abstract and analytical.  Activity on the smaller cycles is characterized by direct interactivity with the network, while on larger scales it is indirect and more design oriented.

As is implied from the diagram, a network engineer will oscillate between activities and modeling.  For instance, in the interactive cycle, they may configure a QoS classification policy, but then immediately issue show commands to see if traffic is being classified appropriately.  Configuring a policy and issuing of show commands are activities, but the show commands start to transition into modeling.  The engineer is attempting to model the immediate effect of the changes they have made.  Based on this modeling of “how things are,” the engineer might start thinking about modifications to the classification policy to bring the operation of the network closer to an expected model of “how things should be.”  As far as it is possible to do so, an attempt might be made to model “how things will be” to check for possible side effects.  The cycle, then, repeats.

Referential Space
However, which show commands should they use to accurately model how the configuration is actually working?  If you were to write down the exact sequence of commands, you might find that the engineer is taking data from the output of the first command and using that as either input into the second command, or as a point of reference while examining output from the second command.  The output from the second command might be, in turn, used similarly when executing a third show command.  This is what is called Referential Traversal.  Referential Traversal is when a network engineer engages in iterative data correlation in support of a workflow.  In the context of a workflow, this data represents that workflow’s state.

Another well known referential traversal is doing a manual packet-walk of the network:  Examining nodes along the way to determine if there is a potential issue along the path between two endpoints on the edge of the network.  Here, the engineer will examine lookup tables, arp entries, and LLDP neighbor information, jumping from one node to the next.  This particular workflow can tangent in tricky ways such as examining when and what configuration changes were made to see if they could impact traffic between those two endpoints.  When tangenting into examination of a device configuration, you enter a different set of correlated data:  A route-map applied to an interface can, in turn, reference access-lists or prefix-lists.  The rules for evaluating packet flow through a policy follows different logic than the general rules for packet flow across a series of devices.

Figure 2: Referential Space

Figure 2: Referential Space

If you take the set of rules, relationships, and data points from “configuration space” and the rules, relationships, and data points from the “forwarding space,” and you combine them with all other such spaces that a network engineer must deal with in the course of their activities, the sum of these is called “referential space” (See Figure 2).  A network engineering workflow will follow some referential path through this space, examining data and following it’s relationships to yet other data.  There are numerous interconnected spaces in the management, control, forwarding, and device planes of a network each with their own logic and types of data. There are more abstract spaces as well, such as a “design” space that contains the rules and relationships that govern network design.  A network engineer’s expertise is measured by how well they can navigate referential space in support of longer time-scale cycles.

Enablement versus Obviation
The challenge of networking, and the reason that automation (and UX/UI for that matter) has not evolved terribly well, is that these referential paths vary greatly based on what the network engineer is trying to do and how a particular network is built.  There is a vast set of rules governing the many relationships that exist between the seemingly infinite array of data types.  The dynamic nature of referential traversal, and the intimidating size of referential space, should justify a healthy skepticism of vendors claiming to encapsulate network complexity or automate network workflows.  More often than not, they are simply moving the complexity around, while making it more difficult to navigate in the process.

It’s long since overdue to move innovation in networking towards enabling network engineers to be more effective instead of trying to obviate them.  Unlike the past, this should happen with a keen understanding of what network engineers actually do and how they think through their activities.  We can augment these activities to reduce time-to-completion, and reduce time-to-insight while at the same reducing risk and increasing accountability.  There are many networking workflows, which after 20 years, are still notoriously difficult and risky to model and complete.  Let’s solve these problems first.

Make Things Better
As a network engineer, how many times have you heard about the glorious wonders of a product that automates networking or encapsulates network complexity in some way?  After 20 years, we have been trained to identify this language as snake-oil, or perhaps a little nicer, “marketing speak.”  When we buy into these products or features, it’s always just a matter of time before they go unused, or the ugly realities of their operation surfaces.

Encapsulating network complexity, or automating network workflows, can’t just be about “faster.”  That’s only part of the problem.  It has to make things “better.”  This can only happen with a deeper understanding of referential space.

The post What a Network Engineer Does appeared first on Plexxi.

Read the original blog entry...

More Stories By Derick Winkworth

Derick Winkworth has been a developer, network engineer, and IT architect in various verticals throughout his career.He is currently a Product Manager at Plexxi, Inc where he focuses on workflow automation and product UX.

@ThingsExpo Stories
The IoT Will Grow: In what might be the most obvious prediction of the decade, the IoT will continue to expand next year, with more and more devices coming online every single day. What isn’t so obvious about this prediction: where that growth will occur. The retail, healthcare, and industrial/supply chain industries will likely see the greatest growth. Forrester Research has predicted the IoT will become “the backbone” of customer value as it continues to grow. It is no surprise that retail is ...
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...
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has announced that its Call for Papers is now open. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expe...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
DXWorldEXPO LLC announced today that ICOHOLDER named "Media Sponsor" of Miami Blockchain Event by FinTechEXPO. ICOHOLDER give you detailed information and help the community to invest in the trusty projects. Miami Blockchain Event by FinTechEXPO has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Miami Blockchain Event by FinTechEXPO also offers s...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
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.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...