Skip to content
academia.sh
tr
Log in

Course Advanced

Network Operations and Automation

By the end of this course

Start course

01

Traffic Management

The difference between layer 4 and layer 7 balancing, the tail distribution rules leave on subjects with unequal capacity, the purpose of the two proxy types, edge caching's pull and push models, and what classification and shaping make whom pay.

  1. 01 Load Balancers A balancer working at the transport layer distributes connections, one working at the application layer distributes requests; on the same forty subjects, one overruns 17 subjects by 438 units, the other 16 subjects by 310 units, and the transport layer's own gauge shows the same number for all forty of the forty subjects.
  2. 02 Load Balancing Algorithms Four distribution rules are run on the same forty subjects at two separate loads; at load 1200 overrunning subjects come out 6 / 0 / 0, at load 2600 23 / 40 / 40 and overrun units 533 / 245 / 264, 1160 units sit idle at 1200, and what makes the proportional rule's overrun column look clean is the 19 units it never distributes.
  3. 03 Reverse Proxy and Forward Proxy The same limit number produces two separate tails on two proxies; at limit 30 the reverse proxy leaves 6 subjects unprotected and 1160 units idle, the forward proxy counts that same 1160 units as throttled legitimate demand, and because it never sees 9 of the forty subjects and 430 units, its own report shows only 993 units.
  4. 04 Content Delivery Networks Under the pull model, the edge carries only what has been requested and its cost is 33 misses; under the push model, misses are zero but 402 units of never-requested content sit at the edge; once an 800-unit limit is placed on the edge, pull gives 245 misses, push that does not know popularity gives 379, and in both models the object the edge never sees at all climbs to 25.
  5. 05 Quality of Service Three scheduling rules are run on the same forty subjects, and the 433 units that cannot be served stay the same across all three; strict priority brings the interactive class's wait from 1.13 rounds to 0.00 while sending the standby class from 1.28 to 5.76 rounds and into a 433-unit tail, and the overall average drops from 1.19 to 0.40, appearing to improve.

02

Observability

Flow record and counter collection, the distinction between poll-based monitoring and event notification, what capture filters see and fail to see, and which subject end-to-end health indicators never report.

  1. 01 Network Telemetry The sampling rate is a single lever applied to forty subjects at once: dropping from one-in-one to one-in-twenty takes records from 400 to 20, seen heavy events from 22 to 2, 20 heavy events go unrecorded, and 26 of the forty subjects never appear in the report.
  2. 02 Device Monitoring Protocols Poll-based monitoring and event notification lose the same forty devices in different ways: within a seven-hundred-millisecond scan budget, polling sees 29 devices at best, at a nine-event notification threshold 25 devices speak, and the number of devices neither model ever sees is 6.
  3. 03 Packet Analysis Tools The capture filter is a single lever, and it costs at both ends: in a window of ninety-eight flows, the narrowest filter never sees 91 flows and misses 21 of 22 heavy events, while unfiltered capture drops 776,196 bytes because they do not fit the buffer.
  4. 04 Reachability and Latency Measurement The end-to-end health indicator is a sample: with a four-target probe list, 36 of the forty subjects are never probed, availability swings between 37.5 and 62.5 while the true value sits at 57.5, and the indicator's resolution is set by the target count, not the subject count.

03

Automation and Cloud Networking

Manual configuration's error modes, defining device configuration with a data model, protocol-based configuration access, bulk change and validation, cloud networking's core objects, hybrid connectivity options, and validating topology in a lab.

  1. 01 The Case for Network Automation In manual configuration, error grows with touch count: forty devices take 122 field touches, producing 12 errors and 10 faulty devices. The template brings touches down to 1, but expected faulty devices rises from 9.76 to 11.34, and the six-device tail outside the template stays exactly where it was.
  2. 02 Configuration Models When device configuration is defined by a data model, as the model widens, covered fields climb from 80 to 113 and partially represented devices fall from 30 to 9; the remaining nine fields enter no model at all, because their value source is the device itself.
  3. 03 Programmable Interfaces When the same change is applied through three request forms, the append form changes state on a second application in all forty of forty devices; when nine devices with no response are retried, append breaks five of them, the two idempotent forms break neither, but full replace erases nine devices' out-of-model field.
  4. 04 Managing Devices with Scripts Whichever class the template targets, deviated devices are 6 every time; the only thing that changes is the count hidden from the report being 6, 3, and 3. Dry run finds all six before applying, the report finds 0, 3, and 3, and under one template staged rollout never stops.
  5. 05 Cloud Networking Concepts Virtual network, subnet, security group, and gateway all fall under the same lever-tail measure: when a single subnet prefix length is applied to forty subnets, /26 leaves seventeen short, while /25, which closes the tail, does not fit the virtual network's block.
  6. 06 Hybrid Connectivity The choice between a site-to-site tunnel and a dedicated link is a single lever: dedicated alone leaves 23 of forty subjects without a path, tunnel alone throws 14 outside their budget, and the two together bring the tail down to 9 — but all nine come from the same class.
  7. 07 Network Simulation Environments The lab environment's scale is a lever: the seventeen subjects on which the change fails in the field stay constant regardless of scale; the only thing that changes is how many the lab foresees, and even at full scale, nine subjects cannot be represented.

Start typing to search.

↑↓ ↵ Esc navigate · open · close