”The Ball” Radical Cloud Resource Consolidation

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Presentation transcript:

”The Ball” Radical Cloud Resource Consolidation Kalle Launiala, ProtonIT, ”The Ball” kalle.launiala@protonit.net, +358445575665

What to Consolidate? (Cloud) Infrastructure Resource Usage => Reduce Costs

Primitives That Cost Pricing calculator (”vendor agnostic”): http://www.windowsazure.com/en- us/pricing/calculator/ Stand-by Costs Storage = $0.07 per GB per month Action Costs Storage Transactions = $0.01 per 100000 Outbound Network = $0.12 per GB Computing = $0.02 - $1.80 per hour

Bound by realities Storage = maintained, on-line, scalability, capacity Network = maintained capacity, bandwidth Computing = active virtualized hardware Flavors in memory, amount of cores Compared to existing resources, it feels expensive Include maintenance troubles/costs, and it’s not

What can I get for $100 USD? 1429 GB of storage For one month 1,000,000,000 storage transactions 833 GB of network outbound storage 55 to 5000 hours of computing 2.3 days to 6.6 months

Computing is the target The most expensive component...

What is computing?

What is computing? Computer/VM that is powered up and running The costs is to pay for reserved capacity What if I don’t actively compute anything?

Online Services = Computing Servers serving web pages Database servers responding to queries What about the time when they’re idle? Cost to pay comes from available/reserved capacity Tools are estimating and reactive auto-scaling

How much computing is needed? Cheapest/smallest instance is $15 USD a month 768 MB of RAM, shared CPU core That’s not much for anything real-time responses It still has quite a bit of CPU cycles during the month, much more than average office server uses for its tasks combined for that month. What if... Computing could be counted as CPU cycles?

Reminding the Ball model Pure distributed model to security groups’ Platform/instance/installation level owns no data Infrastructure services come from the core Each group owns the information Processing is ran within the group’s context ... Infrastructure such as network / storage is provided

Let’s see some numbers ”The Ball” unified processing with real website group

The Scenario: Company Website 30 content pages 300 edits / month to maintain them 1500 visitors a month (50 a day) Each land to home page and click 8-9 articles

Simulation load scenario Load test content was decent sized website with 30 content pages Midnight: ”visitor-simulator” 1000 times home page load + few article clicks Running the batch operations on ”remote browser” around 7:00 to calculate usage reports 9 – 10: 300 edits of articles 10-11: ”visitor simulator” for 500 times

Comparison the Ball vs traditional

Demo - time