Hi all,

It is our mission to support all network engineers to become true network automation heroes! Today I want to tell you a bit more about the 3 building blocks that will help you build endless network automation solutions:

1. Runtime automation
2. Data-driven Automation
3. Design-driven Orchestration

Let me explain how we have incorporated these 3 concepts in netYCE framework and 3 courses.

1. Runtime Automation

 

Imagine you have an engine that lets you configure any number of network devices (switch, router, firewall, API, EMS, controller, etc.) from any vendor, from one central place and for an endless variety of jobs, while dealing with checks, validations, conditions, backups, logging and many more in a smart and automated way.

This is exactly what the netYCE engine does. Fully GUI based and with support for 20+ different network vendors, ranging from Cisco, Juniper, HP, Ciena, Huawei, Checkpoint, Fortinet, Palo Alto and many more.

You can forget about manually logging into network devices or building and maintaining Python- or Ansible scripts. You only need to focus on what you want to achieve. Simply create or import your node credentials and start building and deploying automated jobs. You can use parameterisation, templates, conditionals and functions to deal with any of your daily jobs. Then save & share them with others and schedule backups of all your configs to keep control of what changes in production.

This powerful engine alone will solve most of your daily automation needs. It is part of the FREE netYCE_Go license and serves as the foundation for all other solutions explained below. Make sure you check out this webinar:

Experience it yourself. Simply download the software and follow course 1. You'll build your first Runtime automation solution in less than one hour!

2. Data-driven Automation

Now let’s go one step further and truly boost your automation capabilities. Imagine you can automatically build jobs and configurations by combining different data sources with this runtime engine. In essence, there are 3 different approaches. You can use data from the internal YCE database, data from your production network or from external sources (via the API) and combined this with advanced templates and scenarios.

 


First
, the integrated, object-oriented YCE database lets you store any kind of information specific to your design or ‘snowflake’ network, in a relational- and vendor agnostic way. This means you can store things like topology, ports, vrfs, ip plans, subnets, services and much more in one place. And then use them seamlessly with the netYCE engine and smart templates to generate data-driven jobs and configs. 

So forget about using Excel and notepad or remembering everything from memory. Simply create and modify services by updating the database and generate configs & jobs that you want provisioned to your network with just a single mouse click or API call.

Second, imagine you can simply retrieve state information from your network devices and use it dynamically in your jobs. This is what 'command parsing' scenarios are all about. It lets you send show commands to your network devices and parse the requested information. The results can either be stored in the YCE database or used in real time as input for your data-driven jobs.

It gets even better when you learn more about 'scenarios'. These data-driven 'scripts' allow you to build extremely powerful run-books with automated rules, validations and process steps for every job you send to your network. 

Third, data can also come from external systems (e.g. OSS/NMS) or from an Excel/csv file. This can be sent to the netYCE API and processed as you like. You will be amazed with the possibilities you now have at your fingertips because anything that is possible via the GUI can also be done via the API. Updating your inventory, creating new services or simply invoking the API to send data-driven jobs to your network is easy as pie.

 

3. Design-driven Orchestration

By now you have the ability to generate and deploy data-driven jobs and configs to any of your devices. This is extremely powerful, but it does not solve the risk of spinning out of control when you allow 'random' design choices during implementation. This is the major factor causing networks to become inflexible, unstable and unnecessary difficult to automate. 

In order to maximise your potential benefits, this needs to be resolved. Therefore, you want to model and standardise your network services and changes. And enforce your design rules into every job, configuration and process you build. 

This is what netYCE's unique 'design modelling' is all about. These tools allow you to build your own network design and service models that can generate standardised (blueprinted) services, jobs and configurations, and robotise your changes.

 

What this means is that every change you now send to your network is built ‘as-designed' (as-intended). No more errors as both the data, the jobs, the configs AND all process steps are now being generated and executed according to your own design logic.

Now you only need to ensure that these jobs get deployed without interfering with any existing service in your network. This is done by combining using the command parsing scenarios. Real-time state information is then validated at runtime to guarantee that existing services aren't overwritten.

 

Endless possibilities

These 3 building blocks are extremely powerful and can be used standalone, but the true power lies in combining them. You can now build any network automation solution you like as the possibilities are endless.

For example, you can enable zero-touch provisioning for any of your devices, delegate standard jobs to your internal users (self-service) or build closed-loop automations with NMS or AI systems. You can even configure netYCE to be your 'über' orchestrator between 3rd party systems or combine existing Python or Ansible scripts to get really smart.

And the best part? Everything can be configured and build via a GUI that is designed for network engineers. NO coding in complex programming languages. At least not if you don’t want to, because the netYCE engine will ‘eat’ any syntax, so if you prefer going more advanced by using netconf, Yaml, Json or any other new syntax, you can do that as well. 

Simply translate your existing network engineering knowledge in templates, models, scenarios and data-driven jobs, and start automating.  It’s literally that simple. So what are you waiting for.


Final note

The FREE netYCE_Go license gives you runtime automation for unlimited network nodes. The license also includes the full netYCE_Pro functionality for an additional 10 Pro nodes. This means that you can use all the data-driven and design-driven capabilities as well without upgrading to a paid netYCE_Pro license. Want to learn how? Just check out the free courses on www.networkautomationheroes.com.