ankita-anil-verma

root@infra2:/home/osadmin#  ping <external lbvip> -c 5 -vv
PING <external lbvip> (<external lbvip>) 56(84) bytes of data.
From <gateway of internal n/w> icmp_seq=1 Destination Host Unreachable
From <gateway of internal n/w> icmp_seq=2 Destination Host Unreachable
From <gateway of internal n/w> icmp_seq=3 Destination Host Unreachable
From <gateway of internal n/w> icmp_seq=4 Destination Host Unreachable
From <gateway of internal n/w> icmp_seq=5 Destination Host Unreachable

root@infra2:/home/osadmin# tcpdump -i br-vlan host external lbvip -c 4 -vv
tcpdump: listening on br-vlan, link-type EN10MB (Ethernet), capture size 262144 bytes

ankita-anil-verma

root@infra2:/home/osadmin# ifconfig
01da5acb_eth0 Link encap:Ethernet  HWaddr fe:53:ee:fb:98:42
          inet6 addr: fe80::fc53:eeff:fefb:9842/64 Scope:Link
          UP BROADCAST RUNNING MULTICAST  MTU:1500  Metric:1
          RX packets:930 errors:0 dropped:0 overruns:0 frame:0
          TX packets:1722 errors:0 dropped:0 overruns:0 carrier:0
          collisions:0 txqueuelen:1000
          RX bytes:79520 (79.5 KB)  TX bytes:2323969 (2.3 MB)

01da5acb_eth1 Link encap:Ethernet  HWaddr fe:6a:c9:bf:48:7f

ankita-anil-verma

https://gist.github.com/andreyvit/2921703 tmux cheat sheet
https://github.com/openstack/openstack-ansible-haproxy_server/blob/master/doc/source/configure-haproxy.rst HAPROXY FOR OSA
http://docs.ansible.com/ansible/latest/playbooks_best_practices.html ANSIBLE BEST POLICIES
https://www.mirantis.com/blog/53-things-to-look-for-in-openstack-pike/
https://ansible-tips-and-tricks.readthedocs.io/en/latest/ansible/commands/ ANSI TIPS N TRICKS
https://docs.openstack.org/nova/pike/admin/configuring-migrations.html#section-configuring-compute-migrations LIVE MIGRATION PIKE
https://sreeninet.wordpress.com/2015/01/04/docker-orchestration/ DOCKER ORCHESTRATION


https://access.redhat.com/articles/1390483 N/W ADAPTER SUPPORT 

ankita-anil-verma

 apt-get dist-upgrade
Reading package lists... Done
Building dependency tree
Reading state information... Done
Calculating upgrade... Done
The following package was automatically installed and is no longer required:
  libopts25
Use 'sudo apt autoremove' to remove it.
The following packages will be upgraded:
  python3-update-manager resolvconf update-manager-core

ankita-anil-verma

FAILED - RETRYING: Ensure that the LXC cache has been prepared (1 retries left).
fatal: [infra3]: FAILED! => {"ansible_job_id": "766365788508.23851", "attempts": 60, "changed": false, "failed": true, "finished": 0, "started": 1}

NO MORE HOSTS LEFT ***************************************************************************************************

NO MORE HOSTS LEFT ***************************************************************************************************

PLAY RECAP ***********************************************************************************************************
infra3                     : ok=202  changed=80   unreachable=0    failed=1

ankita-anil-verma

Small random numbers: Initialize the weights of the neurons to small numbers and refer to doing so as symmetry breaking. The idea is that the neurons are all random and unique in the beginning, so they will compute distinct updates and integrate themselves as diverse parts of the full network. The implementation for one weight matrix might look like W = 0.01* np.random.randn(D,H), where randn samples from a zero mean, unit standard deviation gaussian. With this formulation, every neuron’s weight vector is initialized as a random vector sampled from a multi-dimensional gaussian, so the neurons point in random direction in the input space. It is also possible to use small numbers drawn from a uniform distribution, but this seems to have relatively little impact on the final performance in practice.
weights = tf.Variable(tf.random_normal([784, 200], stddev=0.35) name="weights")
Warning: It’s not necessarily the case that smaller numbers will work strictly better. For example, a Neural Network layer that has very