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              VM Vs Container
              Note:
              I'll be talking about containers, their basic underlying working, their functionality how eYantra can benefit it
              been around since 2008, as c-groups in linux, this paved the path for containers later on
              - examples: firejail, lxc, docker

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Limitations of VM
                - dependency hell
                - versioning
                - upgrades
                - replication

Note:
              - originally traditional servers, perfect replication not possible, multiple variables
                - os, os version, os deps and versions, application deps and versions
              - probelems
                - versioning: i setup test env today, and setup production tomorrow, there may be inconcistency in the OS level deps, which may cause incompatibility
                - upgrade: keeping all deps updated is important to avoid security vulns, but it comes at a cost of inconcistency
                - replication: b/w qa and prod env, local dev, works on my machine, doesnt work in prod, dev work on mac books, prod is centos

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Containers
                - filesystem isolation
                - process isolation
                - device isolation
                - network isolation
                - scaling

Note:
              - now containres, package entire app, incluing the OS level deps, makes it easy to deploy and have concistency in the environemnts

- now:
                - isolation
                  - fs: file:///home/cc firefox demo, iso apps scannnig directories they are not supposed to, like chrome
                  - process: app 1 isnt aware about app b running
                    - d run -it --rm --name nginx nginx:alpine
                    - d exec -it nginx sh
                  - device: GPU
                    - lxc exec steam -- sudo --login --user ubuntu bash
                      - nvidia-smi
                    - lxc exec matlab -- sudo --login --user ubuntu bash
                      - nvidia-smi
                  - network:
                    - d run -it --rm python:3.9.4-alpine3.13 sh
                    - d run -it --rm --network none python:3.9.4-alpine3.13 sh
                - scaling: better utilization of resources, resource allocation and sharing

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Kubernetes
                - 0 downtime upgrade <a href="https://nginx-blue-green.codingcoffee.me/" target="_blank">demo</a>
                - maintains state
                - scaling

Note:
              - Production-Grade Container Orchestration Platform
              - container orchestration takes away a lot of operations workload from engg
              - SSL termination
              - think of k8s as a knowledge base of all the best practicies of deployment for applications built at scale by Google