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Automated PBR and Route Health Injection with RISE

RISE is an innovative architecture that logically integrates an external service appliance such as Citrix NetScaler or the Cisco Prime NAM so that it appears & operates as a service module within the Nexus 7000 Series switches.
RISE integration with the Citrix NetScaler provides features like Route Health Injection (RHI) and Automated PBR (APBR) which allow easy configuration to redirect client and server traffic to the load balancer.
Screen Shot 2014-09-26 at 11.47.15 AM

 

Automated Policy Based Routing (APBR)
Existing solutions to have server traffic return to the load balancer are Source NAT and PBR. Using Source NAT causes applications (server) to lose the visibility to client IP, burning IP address pool for Source NAT configuration and manual configuration. Policy Based Routing (PBR) requires complex initial configuration from the user (susceptible to human errors), configuration updates when a server is added or removed which can be cumbersome as the number of network devices and servers/VIPs grow.
  • Auto PBR eliminates the need for Source-NAT or manual PBR configuration in an one-arm mode design of load balancers
  • Preserves client IP visibility for applications/servers without the need for manual PBR
  • APBR feature allows the NetScaler to program policies on the N7K server-facing interfaces to redirect return traffic to the NetScaler appliance set up in one-arm mode
  • NetScaler passes information about real servers to N7K via the RISE channel and a policy is applied on the N7K interface through which the real server can be best reached
  • Since it is desirable to change the SRC IP to VIP for the return traffic, the APBR policies redirect traffic to the NetScaler IP without modifying the packet
  • The NS appliance will then direct the packet to the client by changing the source IP to VIP
Screen Shot 2014-09-26 at 11.51.47 AM
Please reach out to nxos-rise@cisco.com for more information on RISE features.
Resources

RISE At A Glance white paper: http://www.cisco.com/c/dam/en/us/products/collateral/switches/nexus-7000-series-switches/at-a-glance-c45-731306.pdf

RISE announcement blog: http://blogs.cisco.com/datacenter/rise

RISE Video at Interop: https://www.youtube.com/watch?v=1HQkew4EE2g

Cisco RISE page: www.cisco.com/go/rise

 

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Best Practices for Application Delivery in Virtualized Networks – Part II

As we start off this New Year, how about including a resolution to improve application delivery? In Best Practices for Application Delivery in Virtualized Networks – Part I , we covered key application delivery challenges that have come up due to the complexities of managing the many types of applications that enterprises use today, and further complicated by data center consolidation and virtualization. We then covered some best practices, courtesy of Dr. Jim Metzler’s 2011 Application Service Delivery Handbook, which recommended taking a lifecycle approach to planning and managing application performance.

A key step to the lifecycle approach is to implement network and application optimization tools, such as WAN Optimization solutions and Application Delivery Controllers, including server load balancers. Of course, these solutions are not new to the market and already address many of the needs that exist with delivering enterprise applications in virtualized data centers -- namely, the need to ensure network reliability, availability and security for users accessing these applications. In this post, we will discuss a recent study by IDC, where IT decision makers across Europe and the US spoke out about their strategies for using server load balancers to deal with emerging challenges.



.                                                                                                                                                                                                                                                                                              What important attributes do you look for in your server load balancers?

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Best Practices for Application Delivery in Virtualized Networks – Part I

Earlier this year the Webtorials Analyst Division, co-founded by Dr. Jim Metzler, surveyed their subscriber base of IT professionals. Not surprisingly, 75% admitted that when a core business application degrades in performance, the end user notices before IT does. Therefore, 85% also believe that it is important, very important and even critical to senior managers that they take a more proactive approach to managing acceptable application delivery (See Figure 1).

Source: Metzler, Jim, “2011 Application & Service Delivery Handbook”, p. 14

Click here for the 2011 Application Service Delivery Handbook -- Cisco

Contributing to the challenges of ensuring good application performance are the very innovations that are meant to simplify business and IT operations. These include data center consolidation, virtualization and the wide variety of applications that IT must support– all of which creates operational issues for IT. Not to worry – there are best practices that IT organizations can implement as application delivery challenges continue to evolve. In Part I of this blog post on application and services delivery, I’ll share what I consider to be key learnings from Dr. Metzler’s comprehensive 129 page guide. We’ll start with some core challenges:

Key Application Delivery Challenges

Proliferation of different types of applications: Today, companies utilize a wider variety of applications than ever. Some applications are business-critical. Others enable other business functions. And still more applications support communication and collaboration. Not only do they vary in criticality, but they also vary in their demands on the network. For instance, video streaming, which causes a lot of strain on the network may be key on some occasions (think company-wide all hands meetings a la Apple’s tribute to Steve Jobs), but recreational during other times. IT managers must audit company-wide application use, pinpoint a select group of business critical applications and formulate and execute a plan for optimization.

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