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Xtreme Deployment
develop in production; push to dev
Tuesday, October 2, 12
Who are we?
Brian ClapperCTO of CirconusWhipping boy of the modern SaaS stack.
Theo SchlossnagleCEO of CirconusRepeat denier of reality.
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How the world used to look (less xtreme)
Architectures driven by user interaction:(e.g. web page load ➠ web page response)
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How the world used to look (less xtreme)
isolateduser A’s page load doesn’t effect user B.
latentuser A’s affect shows up “later” in user B’s view.
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How the world used to look (less xtreme)
Problem reproducibility is achievable(even if sometimes painful)
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How the world looks now (more xtreme)
Architectures driven byhigh volume data and users
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How the world looks now (more xtreme)
every piece of data entering the architecture can effect a user’s subsequent experience.
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How the world looks now (more xtreme)
sometimesthe data must effect a user’ssubsequent experience.
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How the world looks now (more xtreme)
Social systems cause indirect impactvia user action eroding isolation.
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How the world looks now (more xtreme)
A more responsive web is erodingusers’ acceptance of latent state.
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How the world looks now (more xtreme)
Highly distributed systems(due to complexity and scalability) meansno single world state
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How the world looks now (more xtreme)
Highly distributed systems(due to complexity and scalability) meansdifficult repeatability of state and failures
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How the world looks now (more xtreme)
Highly distributed systems(due to complexity and scalability) meanstreacherous debugability
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Despair all ye’ who debug here
I studied distributed systems long enoughto understand “the suck” you do not wish to have in your lives.
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Despair all ye’ who debug here
Expedient debugging requires a quick realization of a precipitating state of failure.
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Despair all ye’ who debug here
In distributed systems,post-mortem techniques are less useful because recreating possible global state is amind-bending (or brain-damaging) exercise.
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Despair all ye’ who debug here
Applying older techniquesto small controlled distributed systemsis still feasible,but complex, asynchronous architecturescan be nearly impossible.
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Some context about us
Circonus ingests telemetry dataacross an entire business
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Some context about us
alerting • correlation • visualization • analytics
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How we see the world today
High velocity non-user-generated data inflow.
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How we see the world today
Users expect sub-second reflection ofall input data and drawn-conclusions.
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How we see the world today
Users expect extremely high availability(100%, you can only disappoint)
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How we see the world today
I was surprised howimpatient and demanding users are...
until I used the tool...and felt exactly the same way.
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Circonus architecture
Voltron
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Circonus architecture
Voltron• distributed data collection (via brokers)
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Circonus architecture
Voltron• distributed data collection (via brokers)
• distributed data ingestion (via aggregators)
Tuesday, October 2, 12
Circonus architecture
Voltron• distributed data collection (via brokers)
• distributed data ingestion (via aggregators)
• distributed data distribution! (via message queueing)
Tuesday, October 2, 12
Circonus architecture
Voltron• distributed data collection (via brokers)
• distributed data ingestion (via aggregators)
• distributed data distribution! (via message queueing)
• distributed data storage (via snowth)
Tuesday, October 2, 12
Circonus architecture
Voltron• distributed data collection (via brokers)
• distributed data ingestion (via aggregators)
• distributed data distribution! (via message queueing)
• distributed data storage (via snowth)
• distributed streaming fault detection (via muppet love)
Tuesday, October 2, 12
Circonus architecture
Voltron• distributed data collection (via brokers)
• distributed data ingestion (via aggregators)
• distributed data distribution! (via message queueing)
• distributed data storage (via snowth)
• distributed streaming fault detection (via muppet love)
• ... distributed nightmare.
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Despair actualized
I shall not memorialize this in slides.
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Despair actualized
I shall only cry in front of you now.
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Hope (keys to the city)
• Leveraging• stream mirroring and• idempotent behavior.
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Hope
Allows for the recklessness that we all appreciate in a no-consequences development environment...
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Hope
withproduction data,production volume, andproduction “personality.”
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Hope actualized
Development In Production
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Hope actualized
Ex #1: Dual storage backends
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EXPLORATION
PostgreSQLTuesday, October 2, 12
EXPLORATION
SnowthTuesday, October 2, 12
EXPLORATION
{Safety & Happiness
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EXPLORATION
Safety & HappinessTuesday, October 2, 12
Hope actualized
Ex #2: Dual streaming analysis tools
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Hell
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Hell
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Hell
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Hell
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Hell
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Hell
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Hope actualized
Ex #3: Dual messages queueing systems
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The Future
This is the foundation ofreal responsive designgoing forward.
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Thank You
Questions?
Tuesday, October 2, 12