O futuro do cloud deployment(e qual o papel do Python nele)

Presentation by

Sidnei da Silva

sidnei.da.silva@canonical.com

Setembro 2011

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Agenda

● A evolução do deployment● Problemas comuns, soluções extraordinárias● E o futuro?

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Texan style

“We only have a couple servers and use VMware snapshots heavily. We don't need to automate our deployments.”

Alan RunyanEnfold Systems

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Different stages

Development Staging Production

● Local machine, single user

● Runs tip of everything

● One instance of each service

● Controlled environment

● Sometimes auto-rollout from tip

● A few machines

● A few instances of each service

● Stable, tested code

● Minimal downtime

● Many more machines

● Many more services

● Must be easily scalable

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How much can it scale?

Manual deployment procedures● Very error-prone

● Waste precious human resources

● Hard to reproduce

● But can be fine on small scale

Provisioning● Lengthy acquisition process

● Repetitive, boring task

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From metal to running services

● Firmware updates

● Cabling

● Power supply

● Ready to use images

● PXE booting

● Installer seed

● Packages, VCS checkouts

● Picking port numbers

● Across multiple machines

● Machine-targeted

Hardware

Operating system

Applications and configuration

See the term sheet for more detail

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Cloud

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What problems does it solve?

Hardware

● One time setup for the controller

● Easy partitioning for each individual

Operating system

● Ready to use images

● Easy to create new ones

● Hard to manage their scale (updates and security)

Provisioning

● Quick and easy

● Homogeneity is a plus

Affection

● Short term relationship

● No emotional attachment

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What problems does it create?

Configuration

● Manually reconfiguring is boring

● Not knowing the machine name upfront makes everything harder

● Fact-based rules nearly impossible due to homogeneity

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Shifting the focus to services

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Meet Juju

● Pluggable provisioning backends

● (soon) Both local-machine development and large scale deployments

● React to changes in the environment

● Self-configuring services

● Hooks can be written in any language

● Service templates are designed to easily scale by simply

adding more units

● juju add-unit <service>

Provisioning

Event-based

Scalable

See the term sheet for more detail

Perguntas, por favorObrigado!

Sidnei da Silva

sidnei.da.silva@canonical.com