
Welcome to another post in our Getting Started series. Keep reading to learn how to draft a Playbook that can be run in Ansible or Ansible Tower. You can also use it along with the Module Index and the other docs to build your own Playbooks later.
Playbooks are esentially sets of instructions (plays) that you send to run on a single target or groups of targets (hosts). Think about the instructions you get for assembling an appliance or furniture. The manufacturer includes instructions so you can put the parts together in the correct order. When followed in order, the furniture looks like what was purchased.
That's basically how a Playbook works.
The Playbook we're building will install a web server on a target RHEL/CentOS 7 host, then write an index.html file based on a template file that will reside with the final Playbook. You'll be able to take the example Playbook and additional files from this blog and test it out for yourself. While going over the example Playbook, we'll explain the modules that are used.
AuthorsThe author adds instructions for the modules to run, often with additional values (arguments, locations, etc. Continue reading
My EVPN-VXLAN lab topology:

There is IP Fabric in DC1 (2 vMX and 2 vQFX), and 2 vMX_v14 to emulate CE devices. Each CE device connected to EVPN via LACP LAG ae0 (EVPN Active-Active ethernet segment on service side). vMX_old-1 also has sigle-homed interface ge-0/0/4 (just to show you the difference).
Each CE device split into two logical systems for more convenient testing of routing functionality (global device context for Vlan100 and logical-system second for Vlan200). You could also use virtual-router routing instances for that, if you prefer this way. The rest of CE config is pretty self-explanatory:
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A company's ability to leverage software depends on efficient infrastructure.
For developers, deep learning systems are becoming more interactive and complex. From the building of more malleable datasets that can be iteratively augmented, to more dynamic models, to more continuous learning being built into neural networks, there is a greater need to manage the process from start to finish with lightweight tools.
“New training samples, human insights, and operation experiences can consistently emerge even after deployment. The ability of updating a model and tracking its changes thus becomes necessary,” says a team from Imperial College London that has developed a library to manage the iterations deep learning developers make across …
Managing Deep Learning Development Complexity was written by Nicole Hemsoth at The Next Platform.
Summer is flying by and DockerCon Europe 2017 (October 16-19) will be here before we know it! The DockerCon team is heads down reviewing all of the proposals submitted and we are almost ready to release a full agenda. With that, we are thrilled to share with you the DockerCon Europe 2017 Website including the first confirmed speakers and sessions.









Learn more about DockerCon:
Announcing the first @DockerCon Europe 2017 speakers cc @arungupta @adrianmouat @abbyfuller
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SVP David Goeckeler will oversee the Viptela business.
Bitnami hopes to add more functionality and provide a unifying experience.
Talari inherited its WAN optimization technology by acquiring an unknown vendor.