3 ways Cisco DNA Center and ServiceNow integration makes IT more efficient

Today’s highly complex and dynamic networks create demands that often exceed the capacity of IT operations teams. Within Cisco IT, we are meeting these demands by creating integrations between Cisco DNA Center and ServiceNow.

We use Cisco DNA Center to control the Cisco campus and branch network, as well as to track upgrades and manage the operational states of all network elements, connections, and users.

We use ServiceNow as one of the IT service management platforms for providing helpdesk support to users and management capabilities to our IT service owners.

Customer Zero implements emerging technologies into Cisco’s IT production environments ahead of product launch. We are integrating these systems in multiple ways to make it easier to find the right information to solve problems, streamline tasks for network changes, and allow routine operational tasks to run autonomously in an end-to-end automated workflow. Furthermore, Customer Zero is providing an IT operator’s perspective as we develop integrated solutions, best practices, and accompanying value cases to drive accelerated adoption.

To develop these integrations, Cisco IT takes advantage of Cisco DNA Center platform API Bundles, Cisco DNA Center customizable app in the ServiceNow App store, and other ServiceNow offerings.

Integration #1: All the right information, accessible in one place

One of our first integrations synchronizes inventory information about network devices from Cisco DNA Center to the ServiceNow configuration management database (CMDB). This inventory sync benefits users of both systems. Cisco DNA Center provides up-to-date information on a device so when there’s an issue, an engineer can see it in the CMDB along with context information, such as who to contact about solving the problem.

In the future, the engineer working in the CMDB will be able to click on a link to manage that device in Cisco DNA Center without needing a separate login and subsequent searches for the device. This feature will help the engineer save time, especially when troubleshooting network issues.

Integration #2: Streamlining deployment of software images

Another integration we created supports automation for managing software image updates on our network devices. In the past, Cisco IT engineers have spent thousands of hours every quarter managing these routine updates. But when Cisco IT receives a high-priority security alert, the updates must be distributed and verified ASAP on thousands of affected devices.

With a manual process, this effort requires extensive time for engineers to manage the change activity and track its status on every device. And the network remains exposed to the threat until this process is completed.

In the coming months, we will automate much of the change-management process through the Cisco DNA Center Software Management Functionality and ServiceNow integration. For emergency changes, the engineer can create one change request that covers all devices, which dramatically simplifies approvals. Once the device has been upgraded, Cisco DNA Center updates the individual device record in our ServiceNow system. This automation allows us to maintain current information without needing to process identical change requests for individual devices.

We will also create an integration for “allow list” change requests, which cover routine update tasks that have a low risk of impact on the network state. For these requests, Cisco DNA Center automatically attaches all covered devices to the request and updates each device record in the CMDB. In the past, these changes weren’t always tracked at the device level because of the time and effort required for an engineer to update the device data.

Integration #3: Turning routine work into autonomous processes

Today we are also creating a foundation to automate more tasks between Cisco DNA Center and ServiceNow. For example, an event generated by Cisco DNA Assurance will start a workflow that opens a ServiceNow case, which in turn will send a workflow to Cisco DNA Center with detailed information on the problem and how to fix it. This automation will reduce the number of issues that require attention from a network engineer.

ServiceNow will also be able to request details from Cisco DNA Center when a user files a ticket for a new type of problem. In this case, Cisco DNA Center will provide network information and past events that enrich the ticket with useful information for faster, more efficient troubleshooting and problem resolution.

More integrations to come

We’re just at the beginning of our Customer Zero vision for integrating Cisco DNA Center and our ServiceNow platform. We’ll continue to develop integrations that make our IT operations more efficient. And we’ll continue to share what we’re learning along the way.

What types of IT operational activity are you looking to automate?

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Introduction to Programmability – Part 2

Part 1 of this series defined and explained the terms Network Management, Automation, Orchestration, Data Modeling, Programmability, and APIs. It also introduced the Programmability Stack and explained how an application at the top layer of the stack, wishing to consume an API exposed by the device at the bottom of the stack, does that. The previous post covered data modeling in some detail due to the novelty of the concept for most network engineers. I’m sure that Part I, although quite lengthy, left you scratching your head. At least a little.

So, in this part of the series, I will try to clear some more of the ambiguity related to programmability. As discussed in the previous post, the API exposed by a device uses a specific protocol. For example, a device exposing a NETCONF API will use the NETCONF protocol. The same applies to RESTCONF, gRPC, or Native REST APIs. The choice of protocol also decides which data encoding to use, as well as the transport over which the application speaks with the device.

Where to start?

One of the problems with discussing programmability is where to start. If you start with a protocol, you will need to understand the encoding in order to decipher the contents of the protocol messages. But for you to appreciate the importance of encoding, you need to understand its application and use by the protocol. The chicken first, or the egg! Moreover, with respect to RESTful protocols, you will also need a pretty good understanding of the transport protocol, HTTP in this case, in order to put all the pieces together.

So in order to avoid unnecessary confusion, this part of the series will only cover NETCONF and XML. HTTP, REST, RESTCONF, and JSON will be covered in the next part. Finally, gRPC and GPB will be covered in one last part of this series.

Note: In this blog post we will make very good use of Cisco’s DevNet Sandboxes. In case you didn’t already know that, Cisco DevNet provides over 70 sandboxes that constitute devices in different technology areas, for you to experiment with during your studies. Some of those are always-on, available for immediate use, and others need a reservation. All the sandboxes can be found at: https://devnetsandbox.cisco.com/RM/Topology. For the purpose of this blog, the sandboxes that do not need a reservation will suffice. Any other excuses for not reading on?… I didn’t think so!

APIs: RPC vs REST

In the previous part of this series we looked at APIs and identified them as software running on a device. An API exposed by the device provides a particular function or service to other software that wish to consume this API. The internal workings of an API are usually hidden from the software that consumes it.

For example, Twitter exposes an API that a program can consume in order to tweet to an account automatically without human intervention. Similarly, Google exposes a Geolocation API that returns the location of a mobile device based on information about cell towers and WiFi nodes that the device detects and sends over to the API.

Similarly, an API exposed by, say, a router, is software running on the router that provides a number of functions that can be consumed by external software, such as a Python script.

APIs may be classified in a number of different ways. Several API types (and different classifications) exist today. For the purpose of this blog series, we will discuss two of the most commonly used types in the network programmability arena today: RPC-based APIs and RESTful APIs.

Remote Procedure Call (RPC)-based APIs

A Remote Procedure Call (RPC) is a programmatic method for a client to Call (execute) a Procedure (piece of code) on another device. Since the device requesting the execution of the procedure (the client) is different than the device actually executing that procedure (the server), it is labelled as Remote.

An RPC-based API opens a software channel on the server, exposing the API, to clients, wishing to consume that API, for those clients to request the remote execution of procedures on the server. Both NETCONF and gRPC are RPC-based protocols/APIs. This part of the series will cover NETCONF and describe its RPC-based operation.

Representational State Transfer (REST):

REST is a framework, specification or architectural style that was developed by Roy Fielding in his doctoral dissertations in 2000 on APIs. The REST framework specifies six constraints, five mandatory and one optional, on coding RESTful APIs. The REST framework requires that a RESTful API be:

◉ Client-Server based

◉ Stateless

◉ Cacheable

◉ Have a uniform interface

◉ Based on a layered system

◉ Utilize code-on-demand (Optional)

When an API is described as RESTful, then this API adheres to the constraints listed above.

To elaborate a little, a requirement such as “Stateless” mandates that the client send a request to the API exposed by the server. The server processes the request, sends back the response, and the transaction ends at this. The server does not maintain the state of this completed transaction. Of course, this is an over simplification of the process and a lot of corner cases exist. An API may also be fully RESTful, or just partially RESTful. It all depends on how much it adheres to the constrains listed here.

REST is an architectural style for programming APIs and uses HTTP as an application-layer protocol to implement this framework. Thus far, HTTP is the only protocol designed specifically to implement RESTful APIs. RETCONF is a RESTful protocol/API and will be the subject of an upcoming part of this series, along with HTTP.

Although gRPC is an RPC-based protocol/API, it still uses HTTP/2 at the transport layer (recall the programmability stack from Part I ?) You may find this a little confusing. While it is beyond the scope of this part of the series to describe the operation of gRPC and its encoding GBP, this will be covered in an upcoming part. Stay with me on this series, and I promise that you won’t regret it ! For the sake of accuracy, gRPC also supports JSON encoding.

NETCONF

In the year 2003 the IETF assembled the NETCONF working group to study the shortcomings of the network management protocols and practices that were in use then (such as SNMP), and to design a new protocol that would overcome those shortcomings. Their answer was the NETCONF protocol. The core NETCONF protocol is defined in RFC 6241 and the application of NETCONF to model-based programmability using YANG models is defined in RFC 6244. NETCONF over SSH is covered on its own in RFC 6242.

Figure 1 illustrates the lifecycle of a typical NETCONF session.

Figure 1 – The lifecycle of a typical NETCONF session

NETCONF is a client-server, session-based protocol. The client initiates a session to the server (the network device in this case) over a pre-configured TCP port (port 830 by default). The session is typically initiated using SSH, but it may use any other reliable transport protocol. Once established, the session remains so until it is torn down by either peer.

The requirement that the transport protocol be reliable means that only TCP-based protocols (such as SSH or TLS) are supported. UDP is not. The NETCONF RFC mandates that a NETCONF implementation support, at a minimum, NETCONF over SSH. The implementation may optionally support other transport protocols in addition to SSH.

The first thing that happens after a NETCONF session is up is an exchange of hello messages between the client and server (either peer may send their hello first). Hello messages provide information on which version of NETCONF is supported by each peer, as well as other device capabilities. Capabilities describe which components of NETCONF, as well as which data models, the device supports. Hello messages are exchanged only once per session, at the beginning of the session. Once hello messages are exchanged, the NETCONF session is in established state.

On an established NETCONF session, one or more remote procedure call messages (rpc for short) are sent by the client. Each of these rpc messages specify an operation for the server to carry out. The get-config operation, for example, is used to retrieve the configuration of the device and the edit-config operation is used to edit the configuration on the device.

The server executes the operation, as specified in the rpc message (or not) and responds with a remote procedure call reply (rpc-reply for short) back to the client. The rpc-reply message contents will depend on which operation was requested by the client, the parameters included in the message, and whether the operation execution was successful or not.

All NETCONF messages (hello, rpc and rpc-reply) must be a well-formed XML document encoded in UTF-8. However, the content of these messages will depend on the data model referenced by the message. You will see what this means shortly !

In a best-case scenario, the client gracefully terminates the session by sending an rpc message to the server explicitly requesting that the connection be closed, using a close-session operation. The server terminates the session and the transport connection is torn down. In a not-so-good scenario, the transport connection may be unexpectedly lost due to a transmission problem, and the server unilaterally kills the session.

The architectural components of NETCONF discussed thus far can be summarized by the 4-layer model in Figure 2. The 4 layers are Transport, Messages, Operations and Content.

Figure 2 – The NETCONF architectural 4-Layer model

Now roll up your sleeves and get ready. Open the command prompt on your Windows machine or the Terminal program on your Linux or MAC OS machine and SSH to Cisco’s always-on IOS-XE sandbox on port 10000 using the command:

[kabuelenain@server1 ~]$ ssh -p 10000 developer@ios-xe-mgmt-latest.cisco.com

When prompted for the password, enter C1sco12345. Once the SSH connection goes through, the router will spit out its hello message as you can see in Example 1.

[kabuelenain@server1 ~]$ ssh -p 10000 developer@ios-xe-mgmt-latest.cisco.com

developer@ios-xe-mgmt-latest.cisco.com's password:

<?xml version="1.0" encoding="UTF-8"?>

<hello xmlns="urn:ietf:params:xml:ns:netconf:base:1.0">

    <capabilities>

        <capability>urn:ietf:params:netconf:base:1.0</capability>

        <capability>urn:ietf:params:netconf:base:1.1</capability>

        <capability>urn:ietf:params:netconf:capability:writable-running:1.0</capability>

        <capability>urn:ietf:params:netconf:capability:xpath:1.0</capability>

        <capability>urn:ietf:params:netconf:capability:validate:1.0</capability>

        <capability>urn:ietf:params:netconf:capability:validate:1.1</capability>

        <capability>urn:ietf:params:netconf:capability:rollback-on-error:1.0</capability>

        <capability>urn:ietf:params:netconf:capability:notification:1.0</capability>

        <capability>urn:ietf:params:netconf:capability:interleave:1.0</capability>

        <capability>urn:ietf:params:netconf:capability:with-defaults:1.0?basic-mode=explicit&amp;also-supported=report-all-tagged</capability>

        <capability>urn:ietf:params:netconf:capability:yang-library:1.0?revision=2016-06-21&amp;module-set-id=730825758336af65af9606c071685c05</capability>

        <capability>http://tail-f.com/ns/netconf/actions/1.0</capability>

        <capability>http://tail-f.com/ns/netconf/extensions</capability>

        <capability>http://cisco.com/ns/cisco-xe-ietf-ip-deviation?module=cisco-xe-ietf-ip-deviation&amp;revision=2016-08-10</capability>

        <capability>http://cisco.com/ns/cisco-xe-ietf-ipv4-unicast-routing-deviation?module=cisco-xe-ietf-ipv4-unicast-routing-deviation&amp;revision=2015-09-11</capability>

        <capability>http://cisco.com/ns/cisco-xe-ietf-ipv6-unicast-routing-deviation?module=cisco-xe-ietf-ipv6-unicast-routing-deviation&amp;revision=2015-09-11</capability>

        <capability>http://cisco.com/ns/cisco-xe-ietf-ospf-deviation?module=cisco-xe-ietf-ospf-deviation&amp;revision=2018-02-09</capability>

------ Output omitted for brevity ------

    </capabilities>

    <session-id>468</session-id>

</hello>]]>]]>

Example 1 – Hello message from the router (NETCONF server)

Before getting into XML, note that the hello message contains a list of capabilities. These capabilities list three things about the device sending the hello message:

◉ The version(s) of NETCONF supported by the device (1.0 or 1.1)

◉ The optional NETCONF capabilities supported by the device (such as rollback-on-error)

◉ The YANG data models supported by the device

To respond to the server hello, all you need to do is copy and paste the hello message in Example 2 into your terminal.

<?xml version="1.0" encoding="UTF-8"?>

<hello

    xmlns="urn:ietf:params:xml:ns:netconf:base:1.0">

    <capabilities>

        <capability>urn:ietf:params:netconf:base:1.0</capability>

    </capabilities>

</hello>]]>]]>

Example 2 – Hello message from the client (your machine) back to the server

We will break down these messages in a minute – hold your breath!

Example 3 shows an rpc message to retrieve the configuration of interface GigabitEthernet1.

<rpc xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="101">

    <get-config>

        <source>

            <running />

        </source>

        <filter>

            <native xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-native">

                <interface>

                    <GigabitEthernet>

                        <name>1</name>

                    </GigabitEthernet>

                </interface>

            </native>

        </filter>

    </get-config>

</rpc>]]>]]>

Example 3 – rpc message to retrieve the configuration of interface GigabitEthernet1

When you copy and paste this message into your terminal (right after the hello), you will receive the rpc-reply message in Example 4.

<?xml version="1.0" encoding="UTF-8"?>

<rpc-reply xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="101">

    <data>

        <native xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-native">

            <interface>

                <GigabitEthernet>

                    <name>1</name>

                    <description>MANAGEMENT INTERFACE - DON'T TOUCH ME</description>

                    <ip>

                        <address>

                            <primary>

                                <address>10.10.20.48</address>

                                <mask>255.255.255.0</mask>

                            </primary>

                        </address>

                        <nat

                            xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-nat">

                            <outside/>

                        </nat>

                    </ip>

                    <mop>

                        <enabled>false</enabled>

                        <sysid>false</sysid>

                    </mop>

                    <negotiation

                        xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-ethernet">

                        <auto>true</auto>

                    </negotiation>

                </GigabitEthernet>

            </interface>

        </native>

    </data>

</rpc-reply>]]>]]>

Example 4 – rpc-reply message containing the configuration of interface GigabitEthernet1

Note that that the rpc message in Example 3 contains the XML elements rpc and get-config (highlighted in the example). The first indicates the message type and the second is the operation.

The rpc-reply message in Example 4 contains the XML elements rpc-reply and data (highlighted in the example). Again, the first is the message type and the second is the element that will contain all the data retrieved in case the operation in the rpc message is get or get-config.

The above examples are intended to give you a taste of NETCONF. Now let’s get into XML so we can dissect and decipher the 3 types of NETCONF messages.

eXtensible Markup Language (XML) – an interlude

Markup is information that you include in a document in the form of annotations. This information is not part of the original document content and is included only to provide information describing the sections of the document. A packaging of sorts. This markup is done in XML using elements.

Elements in XML are sections of the document identified by start and end tags. Take for example the following element in Example 4:

<description>MANAGEMENT INTERFACE - DON'T TOUCH ME</description>

This element name is description and is identified by the start tag <description> and end tag </description>. Notice the front slash (/) at the beginning of the end tag identifying it as an end tag. The tags are the markup and the content or data is the text between the tags. Not to state the obvious, but the start and end tags must have identical names, including the case. Having different start and end tags defies the whole purpose of the tag.

Elements may be nested under other elements. As a matter of fact, one of the purposes of markup in general and XML in particular is to define hierarchy. Child elements nested under parent elements are included within the start and end tags of the parent element. The description element is included inside the start and end tags of the GigabitEthernet element, which in turn is included inside the tag pair of its parent element interface.

A start and end tag with nothing in-between is an empty element. So an empty description element would look like:

<description></description>

But an alternative, shorter, representation of an empty element uses a single tag with a slash at the end of the tag:

<description/>

The top-most element is called the document or root element. All other elements in the document are children to the root element. In the case of NETCONF messages, the root element is always one of three options: hello, rpc or rpc-reply.

You may have noticed the very first line above the root element:

<?xml version="1.0" encoding="UTF-8"?>

This line is called the XML declaration. Very simply put, it tells the program (parser) that will read the XML document what version of XML and encoding are used. In this case, we are using XML version 1.0 and UTF-8 encoding, which is the encoding mandated by the NETCONF RFC.

The final piece of the puzzle are the attributes. Notice the root element start tag in Examples 3 and 4:

Example 3: <rpc xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="101">

Example 4: <rpc-reply xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="101">

The words xmlns and message-id are called attributes. Attributes are used to provide information related to the element in which they are defined.

In the case of the rpc and rpc-reply elements, the attribute xmlns defines the namespace in which this root element is defined. XML namespaces are like VLANs or VRFs: they define a logical space in which an element exists, more formally referred to in programming as the scope. The NETCONF standard mandates that the all NETCONF protocol elements be defined in the namespace urn:ietf:params:xml:ns:netconf:base:1.0. This is why you will find that the xmlns attribute is assigned this value in every single NETCONF message.

Sometimes the attribute is used for elements other than the root element. Take for example the native element in both Examples 3 and 4:

<native xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-native">

The xmlns attribute, also referring to a namespace, takes the value of the YANG model referenced by this element and all child elements under it, in this case the YANG model named Cisco-IOS-XE-native.

The other attribute is the message-id. This is an arbitrary string that is sent in the rpc message and mirrored back in the rpc-reply message unchanged, so that the client can match each rpc-reply message to its corresponding rpc message. You will notice that in both Examples 3 and 4 the message-id is equal to 101.

An XML declaration along with a root element (along with all the child elements under the root element) comprise an XML document. When an XML document follows the rules discussed so far (and a few more), it is referred to as a well-formed XML document. Rules here refer to the simple syntax and semantics governing XML documents, such as:

◉ For every start tag there has to be a matching end tag

◉ Tags start with a left bracket (<) and end with a right bracket (>)

◉ End tags must start with a left bracket followed by a slash then the tag name. Alternatively, empty elements may have a single tag ending in a slash and right bracket

◉ Do not include reserved characters (<,>,&,”) as element data without escaping them

◉ Make sure nesting is done properly: when a child element is nested under a parent element, make sure to close the child element using its end tag before closing the parent element

All NETCONF messages must be well-formed XML documents.

I wish I could say that we just scratched the surface of XML, but we didn’t even get this far. XML is so extensive and has a phenomenal number of applications that I would need several pages to just list the number of books and publications written on XML. For now, the few pointers mentioned here will suffice for a very basic understanding of NETCONF.

NETCONF

Now that you have seen NETCONF in action and have an idea on what each component of the XML document means, let’s dig a little deeper into the rpc message.

The rpc message in Example 3 contains an rpc root element indicating the message type, followed by the get-config element, indicating the operation. NETCONF supports a number of operations that allow for the full lifecycle of device management, some of which are:

◉ Operations for retrieving state data and configuration: get, get-config

◉ Operations for changing configuration: edit-config, copy-config, delete-config

◉ Datastore operations: lock, unlock

◉ Session operations: close-session, terminate-session

◉ Candidate configuration operations: commit, discard-changes

The elements that will follow the operations element will depend on which operation you are calling. 

For example, you will almost always specify the source or destination datastore on which the operation is to take place.

Which brings us to a very important concept supported by NETCONF: datastores. NETCONF supports the idea of a device having multiple, separate, datastores, such as the running, startup and/or candidate configurations. Based on the capabilities announces by the device in the hello message, this device may or may not support a specific datastore. The only mandatory datastore to have on a device is the running-configuration datastore.

Capabilities not only advertise what datastores are supported by the device, but also whether some of these datastores (such as the startup configuration datastore) are directly writable, or the client needs to write to the candidate datastore, and then commit the changes so that the configuration changes are reflected to the running and/or the startup datastores. Engineers working on IOX-XR based routers will be familiar with this concept.

When working with a candidate datastore, the typical workflow will involve the client implementing the configuration changes on the candidate configuration first, and then either issuing a commit operation to copy the candidate configuration to the running-configuration, or a discard-changes operation to discard the changes.

And before working on a datastore, whether the candidate configuration or another, the client should use the lock operation before starting the changes and the unlock operation after the changes are completed (or discarded) since more than one session can have access to a datastore. Without locking the datastore for your changes, several sessions may apply changes simultaneously.

To actually change the configuration, the edit-config operation introduces changes to the configuration in a target datastore, using new configuration in the rpc message body, in addition to a (sub-)operation that specifies how to integrate this new configuration with the existing configuration in the datastore (merge, replace, create or delete). The copy-config operation is used to create or replace an entire configuration datastore. The delete-config operation is used to delete an entire datastore.

NETCONF also supports the segregation between configuration data and state data. The get operation will retrieve both types of data from the router, while the get-config operation will only retrieve the configuration on the device (in the datastore specified in the source element).

In order to limit the information retrieved from the device, whether state or configuration, NETCONF supports two types of filters: Subtree filters and XPath filters. The first type is the default and works exactly as you see in Example 3. You specify a filter element under the operation and include only the branches of the hierarchy in the referenced data model that you want to retrieve. XPath filters use XPath expressions for filtering. XPath filters are part of XML and existed before the advent of NETCONF.

NETCONF and Python

Up till this point we have been sending and receiving NETCONF messages “manually”, which is a necessary evil to observe and study the intricacies of the protocol. However, in a real-life scenario, copying and pasting a hello or rpc message into the terminal, and reading through the data in the rpc-reply message kinda defies the purpose. We are, after all, discussing network programmability for the ultimate purpose of automation ! And an API is a software-to-software interface and not really designed for human consumption. Right ?

So let’s discuss a very popular Python library that emulates a NETCONF client: ncclient. The ncclient library provides a good deal of abstraction by masking a lot of the details of NETCONF, so you, the programmer, would not have to deal directly with most of the protocol specifics. Ncclient supports all the functions of NETCONF covered in the older RFC 4741.

Assuming you are on a Linux machine, before installing the ncclient library, make sure to install the following list of dependencies (using yum if you are on a CentOS or RHEL box):

◉ setuptools 0.6+

◉ Paramiko 1.7+

◉ lxml 3.3.0+

◉ libxml2

◉ libxslt

◉ libxml2-dev

◉ libxslt1-dev

Then Download the Python Script setup.py from the GitHub repo https://github.com/ncclient/ncclient and run it:

[kabuelenain@localhost ~]$ sudo python setup.py install

Or just use pip:

[kabuelenain@localhost ~]$ sudo pip install ncclient

The ncclient library operates by defining a handler object called manager which represents the NETCONF server. The manager object has different methods defined to it, each performing a different protocol operation. Example 5 shows how to retrieve the configuration of interface GigabitEthernet1 using ncclient.

from ncclient import manager

     filter_loopback_Gig1='''

        <native xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-native">

            <interface>

                <GigabitEthernet>

                    <name>1</name>

                </GigabitEthernet>

            </interface>

        </native>

       '''

with manager.connect(host='ios-xe-mgmt-latest.cisco.com',

                     port=10000,

                     username='developer',

                     password='C1sco12345',

                     hostkey_verify=False

                     ) as m:

     rpc_reply = m.get_config(source="running",filter=("subtree",filter_loopback_Gig1))

     print(rpc_reply) print(rpc_reply)

Example 5 – An rpc message containing a <get-config> operation using ncclient to retrieve the running configuration of interface GigabitEthernet1

In the Python script in the example, the manager module is first imported from ncclient. A subtree filter is defined as a multiline string named filter_loopback_Gig1 to extract the configuration of interface GigabitEthernet1 from the router.

A connection to the router is then initiated using the manager.connect method. The parameters passed to the method in this particular example use values specific to the Cisco IOS-XE sandbox. The parameters are the host address (which may also be an ip address), the port configured for NETCONF access, the username and password and finally the hostkey_verify, which when set to False, the server SSH keys on the client are not verified.

Then the get_config method, using the defined subtree filter, and parameter source equal to running, retrieves the required configuration from the running configuration datastore.

Finally the rpc-reply message received from the router is assigned to string rpc_reply and printed out. The output resulting from running this Python program is identical to the output seen previously in Example 4.

The manager.connect and get_config methods have a few more parameters that may be used for more granular control of the functionality. Only the basic parameters are covered here.

Similarly, the edit_config method can be used to edit the configuration on the routers. In this next example, the edit_config method is used to change the ip address on interface GigabitEthernet1 to 10.0.0.1/24.

from ncclient import manager

     config_data='''

       <config>

         <native xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-native">

           <interface>

             <GigabitEthernet>

               <name>1</name>

               <ip>

                 <address>

                   <primary>

                     <address>10.0.0.1</address>

                     <mask>255.255.255.0</mask>

                   </primary>

                 </address>

               </ip>

             </GigabitEthernet >

           </interface>

         </native>

       </config>

       '''

with manager.connect(host='ios-xe-mgmt-latest.cisco.com',

                     port=10000,

                     username='developer',

                     password='C1sco12345',

                     hostkey_verify=False

                     ) as m:

     rpc_reply = m.edit_config(target="running",config=config_data)

     print(rpc_reply)

Example 6 – An rpc message containing an <edit-config> operation using ncclient to change the IP address on interface GigabitEthernet1

The difference between the get_config and edit_config methods is that the latter requires a config parameter instead of a filter, represented by the config_data string, and requires a target datastore instead of a source.

Example 7 shows the output after running the script in the previous example, which is basically an rpc-reply message with an ok element. The show run interface GigabitEthernet1 command output from the router shows the new interface configuration.

### Output from the NETCONF Session ###

<?xml version="1.0" encoding="UTF-8"?>

<rpc-reply xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="urn:uuid:7da14672-68c4-4d7e-9378-ad8c3957f6c1" xmlns:nc="urn:ietf:params:xml:ns:netconf:base:1.0">

    <ok />

</rpc-reply>

### Output from the router via the CLI showing the new interface configuration ###

csr1000v-1#show run interface Gig1

Building configuration...

Current configuration : 99 bytes

!

interface GigabitEthernet1

 description Testing the ncclient library

 ip address 10.0.0.1 255.255.255.0

end

Example 7 – The rpc-reply message after running the program in Example 6 and the new interface configuration

NETCONF is much more involved than what has been briefly described in this post. I urge you to check out RFCs 6241, 6242, 6243 and 6244 and my book “Network Programmability and Automation Fundamentals” from Cisco Press for a more extensive discussion of the protocol.

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Introduction to Programmability – Part 1

Are you a network engineer and have had to repeat the same boring task at work, every day? Do you feel that there must be a way for you to do a task once, and then “automate” it? Theoretically, an infinite number of times? Or, have you been spending more time cleaning up and correcting configuration mistakes than you spend implementing those configurations? Or maybe you have been hearing a lot about this hot new “thing” called network programmability, but in the middle of the hype, could not figure out what exactly it is?

If any of those cases (and many others) apply to you, then you are in the right place. The fact that you are here, reading this now, means you know that there is probably a solution to your problem(s) in the realm of automation and/or programmability. In this case, buckle up because you are in for a ride!

If you are a network engineer and browsed to this page by mistake, I still urge you to read on. Netflix, Youtube, Facebook and Twitter will still be there when you are done. (Or not.) This is more fun. Trust me!

A Few Definitions For The Road

Before we dive into the nuances of network programmability and automation, let’s clear up some confusion. I hate nothing in the world more than definitions – well, maybe greasy pizza – but this is a necessary evil! In order to start clean, you must understand each of the following: network management, automation, orchestration, modeling, programmability and APIs.

Network Management is an umbrella term that covers the processes, tools, technologies, and job roles, among other things, required to manage a network and the lifecycle of the services offered by that network.

Many standards and frameworks exist today to define the different components of network management. One of them is FCAPS, where the acronym stands for Fault, Configuration, Accounting, Performance and Security Management. FCAPS is geared towards managing the systems that constitute the network.

Another is ITIL. The acronym stands for Information Technology Infrastructure Library and covers an extensive number of practices for IT Services Management (ITSM), which is basically the lifecycle of the services provided by the network. ITIL is divided into 5 major practices: Service Strategy, Service Design, Service Transition, Service Operation, and Continual Service Improvement. Each practice is divided into smaller sub-practices. For example, Service Design includes Capacity Management, Availability Management and Service Catalogue Management while Service Operation includes Incident Management, Problem Management and Request Fulfilment. Some people make a career being ITIL practitioners.

The Merriam-Webster dictionary defines Automation as “the technique of making an apparatus, a process, or a system operate automatically”. In other words, having a system of some sort do the work for you, work that you would otherwise do manually. However, you will have to tell this system what is it that you want to get done, and sometimes, how to do it.

So, configuring a network of routers with dynamic routing protocols, so that these routers speak with each other and figure out the shortest path per destination, is a form of automation. The alternative would be having someone do the calculations manually on a piece of paper, and then configuring static routes on each router. And so is writing a program that configures a VLAN on your switch – or your 500 switches – without someone having to log in to each switch individually and configuring the VLAN via the CLI.

As you have already guessed, the power of automation is not intrinsically in the automation itself. Logging into one switch manually and configuring one VLAN is probably much faster than writing a Python program to do that for you. So why automate? Obviously, the importance of automation is its application to repetitive tasks.

Automation will not only save the time you will spend repeating a task, it also maintains consistency and accuracy of performing that task, over all its iterations. It does not matter if you have 10 or 500 switches. The program you wrote will always go through the exact same steps for eachevery switch, with the exact same result. Every time. Of course, the assumption here is that no errors will happen because of factors external to your program, such as an unreachable switch, wrong credentials configured on a switch, or a switch with a corrupted IOS. Although, you can write a program to detect and mitigate these error conditions!

When you have several systems working together to get a job done, there is typically a need for a system, or a function, to coordinate the execution of the tasks performed by the different systems towards getting this job completed. This coordination function is called Orchestration.

For example, a private or public cloud that provides virtual machines to its users will include different systems to provision the network, compute, virtualization, operating systems, and maybe the applications, for those VMs. Orchestration will provide the function of coordination between all the different systems and applications to get the VM up and running.

Automation and orchestration work well in tandem. Automation covers single tasks. Using software to configure a VLAN on a switch is automation, and so is provisioning a VM over ESXi, or installing Linux on that VM. Orchestration, on the other hand, is the function of coordinating the execution of these automated tasks, in a specific sequence, each task using its own software and each on its respective system. The scope of automation involves single tasks. The scope of orchestration involves a workflow of tasks.

The concept of Modeling Data is not a new concept and is not exclusive to networks or even automation. Data modeling is very involved and is a major branch of data science. For the humble purpose of this blog, let’s use an example to demonstrate what a model is. In Example 1, you can see a configuration snippet of BGP on an IOS-XR router in the left column. In the right column, the specific values for this particular device were removed and replaced with a description of what should be there. A template of sorts.

Example 1 – BGP configuration snippet on IOS-XR and the corresponding data model in tree notation

As you can see, a model is a little more than just a template.

A model describes data types. An IP address is composed of four octets separated by the “.” character and each octet has a value between 0 and 255. An ASN is an integer between 1 and 65535. These two objects, an IP address and ASN, are leaf objects, each having a specific type and each instance of that leaf has a value.

As you have already guessed, a model also describes the data hierarchy. Address families are child objects to the main BGP process. Then the networks injected for a particular address family are children objects to that address family. And the same applies to neighbors: there are global neighbors that are children to the BGP process, and then there are neighbors defined under the different VRFs. You get the point.

So, in order to reflect hierarchy, other object types may exist in a model besides a leaf, such as leaf lists, lists and containers. A leaf-list is a list of leafs. For example, a snmp server configured on router is a leaf object. A list of snmp servers make up a leaf list. All leafs under a leaf list are of the same type.

A list is a group of other objects and has many instances. For example, the VRF in Example 1 is a list. It has children objects of different types (some of which are themselves lists), and at the same time you may have more than one VRF configured under the BGP process. A container is a group of objects of different types, but a container will only have a single instance. An example of a container is the BGP process itself. This is an over simplification of what a data model is just to elaborate on the concept.

Data models used in the arena of network programmability are described using a language called YANG. A “YANG model” is nothing more than a data model described using YANG.

Defining Programmability is not as easy as the previous terms. The reason for this is that the term is used across a very wide spectrum, and means different things depending on what context it is used in. Programming a device or a system basically means giving it instructions to do what you want it to do. A programmable device is a device that can execute different tasks based on the instructions it is given. In the world of electronics, an ASIC (Application Specific Integrated Circuit) is a chip that does one specific function. If this ASIC is built to accept two numbers as input and add those two numbers, it will always do that. A Microprocessor, on the other hand, accepts instructions describing what you want it to do with the input it is given. You can program it to add two numbers, multiply them, or subtract one from the other. A microprocessor is a programmable device while an ASIC is not.

But doesn’t this equate programming to configuration? Configuring a network device is basically telling that device what to do … right? Well, that is tricky question, and it is here that we discuss programmability as used today in the context of network automation.

Programmability for the purpose of network automation is basically the capability to retrieve data, whether configuration or operational data, from a system, or push configuration to a system, using an Application Programming Interface, or API for short. An API is an interface to a system that is designed for software interaction with this system. Contrast this to a router CLI. A CLI requires human interaction to be useful. An API on that same router would be designed so that a Python program, for example, can interact with the router without any human intervention.

But what really is an API?

An API is software running on a system. This software provides a particular function to other software, while not exposing this other software to how this function is performed. An API will typically have a predefined way to reach it, for example, over a specific TCP port. The API will also define the format of the data that it accepts, as well as the data it sends back. It may also define different message types and specific syntax and semantics to avail the services provided by the API. A device that implements an API is said to expose an API to be consumed by other software.

Now to connect the dots. Orchestration coordinates a number of automated tasks in a workflow to implement one of the disciplines of network management. Automation may leverage an API exposed by a device in order to manage this device programmatically. When a data model is used as a reference during programmatic access, the device is said to leverage model-driven programmability.

Quite a mouthful!

Network Programmability: The Details

Network Programmability as a practice is best summarized by the Programmability Stack in Figure 1 below. The stack defines six layers:

1. Application

2. Model

3. Protocol

4. Encoding

5. Transport

6. Infrastructure

Figure 1 – The Network Programmability Stack

(Disclaimer: The Programmability Stack has not been standardized by any industry-recognized entity such as the OSI 7-Layer Model. Therefore, you will probably run into a number of variations of this stack as you progress in your studies of programmability. I found that the one I have drawn here is the best version for the sake of getting the point across. Feel free to contrast it to other version you find elsewhere and tell me what you think in the comments below.)

At the top of the stack is an application that may be a simple python script or a sophisticated network management system such as Cisco Prime. At the bottom of the stack is the device exposing an API. In order for the application to programmatically speak with the device’s API, it will leverage a choice of components at the different layers of the stack.

The application will choose a model. Different types of models exist, the majority today described in YANG. A model may be vendor-specific or standards-based. In either case, the model will define the structure of the data that the application sends to or receives from the device (through the API).

The application will have to choose a protocol that defines the message types as well as the syntax and semantics used in those messages. There are three primary protocols used today for network programmability: NETCONF, RESTCONF and gRPC.

NETCONF, for example, defines three message types: hello, rpc and rpc-reply. It also defines specific operations that may be used in the rpc message to perform tasks such retrieving operational data from a device or pushing configuration to a device. The messages will use specific, well-defined syntax.

The protocols themselves are sometimes described as the APIs. Don’t get confused just yet ! When a device exposes a NETCONF API, then the application will have no choice but to use the NETCONF protocol to speak with the device. The same applies to the other protocols.

A protocol will have a choice of a data format, typically referred to as the data encoding. The most common data encodings in use today are XML, JSON, YAML and GPB. For example, NETCONF will send and receive data only in the form of XML documents. RESTCONF supports both, XML and JSON.

Then this data will be transported back and forth between the application and the device that is exposing the API using a transport protocol. For example, NETCONF uses SSH while RESTCONF uses HTTP.

This is network programmability in a nutshell!

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Automated response with Cisco Stealthwatch

Cisco Stealthwatch provides enterprise-wide visibility by collecting telemetry from all corners of your environment and applying best in class security analytics by leveraging multiple engines including behavioral modeling and machine learning to pinpoint anomalies and detect threats in real-time. Once threats are detected, events and alarms are generated and displayed within the user interface. The system also provides the ability to automatically respond to, or share alarms by using the Response Manager. In release 7.3 of the solution, the Response Management module has been modernized and is now available from the web-based user interface to facilitate data-sharing with third party event gathering and ticketing systems. Additional enhancements include a range of customizable action and rule configurations that offer numerous new ways to share and respond to alarms to improve operational efficiencies by accelerating incident investigation efforts. In this post, I’ll provide an overview of new enhancements to this capability.

Benefits: 

◉ The new modernized Response Management module facilitates data-sharing with third party event gathering and ticketing systems through a range of action options.

◉ Save time and reduce noise by specifying which alarms are shared with SecureX threat response.

◉ Automate responses with pre-built workflows through SecureX orchestration capabilities.

The Response Management module allows you to configure how Stealthwatch responds to alarms. The Response Manager uses two main functions:

◉ Rules: A set of one or multiple nested condition types that define when one or multiple response actions should be triggered.

◉ Actions: Response actions that are associated with specific rules and are used to perform specific types of actions when triggered.

Response Management module Rule types consist of the six alarms depicted above.

Alarms generally fall into two categories:

Threat response-related alarms:

◉ Host: Alarms associated with core and custom detections for hosts or host groups such as C&C alarms, data hoarding alarms, port scan alarms, data exfiltration alarms, etc.

◉ Host Group Relationship: Alarms associated with relationship policies or network map-related policies such as, high traffic, SYN flood, round rip time, and more.

Stealthwatch appliance management-related alarms:

◉ Flow Collector System: Alarms associated with the Flow Collector component of the solution such as database alarms, raid alarms, management channel alarms, etc.

◉ Stealthwatch Management Console (SMC) System: Alarms associated with the SMC component of the solution such as Raid alarms, Cisco Identity Services Engine (ISE) connection and license status alarms.

◉ Exporter or Interface: Alarms associated with exporters and their interfaces such as interface utilization alarms, Flow Sensor alarms, flow data exporter alarms, and longest duration alarms.

◉ UDP Director: Alarms associated with the UDP Collector component of the solution such as Raid alarms, management channel alarms, high availability Alarms, etc.

Choose from the above Response Management module Action options.

 

Available types of response actions consist of the following:

◉ Syslog Message: Allows you to configure your own customized formats based off of alarm variables such as alarm type, source, destination, category, and more for Syslog messages to be sent to third party solutions such as SIEMs and management systems.

◉ Email: Sends email messages with configurable formats including alarm variables such as alarm type, source, destination, category, and more.

◉ SNMP Trap: Sends SNMP Traps messages with configurable formats including alarm variables such as alarm type, source, destination, category, etc.

ISE ANC Policy: Triggers Adaptive Network Control (ANC) policy changes to modify or limit an endpoint’s level of access to the network when Stealthwatch is integrated with ISE.

◉ Webhook: Uses webhooks exposed by other solutions which could vary from an API call to a web triggered script to enhance data sharing with third-party tools.

◉ Threat Response Incident: Sends Stealthwatch alarms to SecureX threat response with the ability to specify incident confidence levels and host information.

The combination of rules and actions gives numerous possibilities on how to share or respond to alarms generated from Cisco Stealthwatch. Below is an example of a usage combination that triggers a response for employees connected locally or remotely in case their devices triggers a remote access breach alarm or a botnet infected host alarm. The response actions include isolating the device via ISE, sharing the incident to SecureX threat response and opening up a ticket with webhooks.

1) Set up rules to trigger when an alarm fires, and 2) Configure specific actions or responses that will take place once the above rule is triggered.

The ongoing growth of critical security and network operations continues to increase the need to reduce complexity and automate response capabilities. Cisco Stealthwatch release 7.3.0’s modernized Response Management module helps to cut down on noise by eliminating repetitive tasks, accelerate incident investigations, and streamline remediation operations through its industry leading high fidelity and easy to configure automated response rules and actions.

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New Technology for Cable Operators to Consider

In the last several years, the role of compute resources has increased the demands upon modern cable regional and access networks. Computation has quickly become part of network infrastructure itself, beyond just supporting services, over-the-top applications, and management tasks. At the same time, advancements in silicon and optical technology allow for a re-examination of cable network topology and service placement. This blog examines some key decision points the cable industry needs to consider as we work together to build the next generation of a Modern Cable Network.

The Growing Role of Compute

Computing has always played an important role in Internet systems. Network services such as DNS and SMTP, as well as applications such as web services, video cache, and the control planes of routers themselves, all depend on general-purpose compute systems being distributed in the network. Some of these compute resources are discrete servers, some are in large cloud computing environments, and still others are co-resident in routing devices. But they all share the same fundamental trait – they keep and maintain application and/or network state, they run generally available operating systems, and today, all use common x86-based CPU’s.

As computational power has grown, the ability for compute resource to perform stateful transformation of data has highly useful applications. In other words, the ability for a resource to take input from an app or the network, transform that input in some way, and return it in a more useful state. Examples of this could be real-time face recognition, such as identifying individuals in video streams. Raw video is fed into a resource, software analyzes the raw video, and returns a structured set of data. Or real-time speech to text, such as that present on modern smartphones. Raw audio is fed into an application, software deciphers the language present, and returns ordered text to be fed into additional applications.

The key is that as computation is used for more real-time, stateful transformation of data, the ability to access those resources quickly and reliably becomes paramount. And this directly translates into the latency, or the amount of time on a wire, between the end-user and that, compute resource. Ultimately, we’re talking about the speed of light.

Low latent access to real-time computation is among the most lucrative, and untapped, resources present on cable networks. Network technology is advancing to make the placement of computation in cable networks much more advantageous to this new opportunity.

Advent of New Network Technology

While demand for low latent computing starts to grow, the cable industry faces some decision points to make. New network technology is permitting a massive disaggregation, and re-architecture, of cable access and metro networks.

Distributed Access Architecture (DAA) systems, such as Remote PHY, enable the pervasive use of IP and Ethernet transport in the access layer, where the previous legacy HFC analog transmission was used.

Virtualized CCAP, such as Cisco’s Cloud Native Broadband Router (cnBR), leverages Remote PHY technology to build a scale-out, software-oriented, microservices-based analogy to a contemporary CMTS. A key point of the cloud native software architecture of the cnBR is the use of the network to place all, or parts, of the system’s functionality to anywhere the network topology extends.

Next-generation silicon, optics, software. New routing platforms, such as the Cisco 8000 series, leverage next-generation forwarding ASIC technology to deliver unprecedented capacity and systems simplicity, all in a power and space-efficient package. Coupled with emerging Digital Coherent Optic (DCO) technology such as 400G-ZR and ZR+ pluggables, it is possible to build a cable metro topology that is much more interconnected, with traffic patterns that follow the value of a dollar and not strictly the path of a wavelength. What this means is, compute can be placed in arbitrary locations, to where packet latency to it is optimal for the application.

A key compute resource that needs consideration for placement is the cnNR or Virtualized CCAP itself. A centralized vCCAP gains efficiency in software economies of scale. But a distributed vCCAP permits the opportunity to offload routable traffic closer to subscribers, which means closer to an edge compute or low latent access to compute architecture. Careful thought needs to be applied when designing the cnBR or vCCAP as a portion of overall network design and goals.

DOCSIS 4.0 also plays a role in a Modern Cable Network.  To learn the latest with this standard, attend our webinar:  DOCSIS 4.0 Evolution in the Cable Plant, Are You Ready.  If you would like to chat more about architecting and designing the next generation of a Modern Cable Network, stop by our virtual exhibit at SCTE-IBSE Cable Tec Virtual Expo.

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