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Winners and losers have the same goals

Having a goal is not what differentiates success from failure, as both winners and losers often share the same objectives. Examples: * All Olympians aim for a gold medal, but only those with effective systems and strategies achieve it. * Job candidates may share the goal of getting hired, but the preparation and process they follow set them apart. Where does this idea come from? * Goal-oriented thinking Where does this idea lead to? * Systems thinking * Habits that are Atomic Status: #id

Compute Engine - Live Migration & Availability Policy

How do you keep your VM instances running when a host system needs to be updated (a soware or a hardware update needs to be performed)? * Your running instance is migrated to another host in the same zone * Does NOT change any attributes or properties of the VM * SUPPORTED for instances with local SSDs * NOT SUPPORTED for GPUs and preemptible instances Important Configuration - Availability Policy: On host maintenance**: What should happen during periodic infrastructure maintenance? * Migr

Google Compute Engine - Billing

* You are billed by the second (after a minimum of 1 minute) * You are NOT billed for compute when a compute instance is stopped * However, you will be billed for any storage attached with it! * (RECOMMENDATION) Always create *Budget* alerts and make use of Budget exports to stay on top of billing! * What are the ways you can save money? * Choose the right machine type and image for your workload * Be aware of the discounts available: * Sustained use discounts * Reservations or Co

Preemtible Instances

How Preemtible Instances works in GCP: Short-lived cheaper* (upto 80%) *compute instances * Can be stopped by GCP any time (preempted) within 24 hours * Maximum time for running is 24 hours * Instances get 30 second warning (to save anything they want to save) Use Preempt VM's** if: * Your applications are fault tolerant * You are very cost sensitive * Your workload is NOT immediate * Example: Non immediate batch processing jobs RESTRICTIONS: * NOT always available * NO SLA and

Spot Instances

How Spot Instances works in Azure: * ï»żï»żBuy unused compute capacity for VMs at savings * ï»żï»żIdeal for interruptible workloads No specific completion time** needed How Spot Instances works in GCP: Spot VMs**: Latest version of preemptible VMs Key Difference**: Does not have a maximum runtime * Compared to traditional preemptible VMs which have a maximum runtime of 24 hours * Other features similar to traditional preemptible VMs * May be reclaimed at any time with 30-second notice * NOT al

Plateau of Latent Potential

Habits often seem ineffective until they persist long enough to overcome the initial plateau and deliver meaningful results. Examples: * Consistent effort appears to yield no results during the plateau phase, but persistence leads to exponential progress. * Breaking through the plateau requires patience and trust in the process of habit-building. Where does this idea come from? * Valley of Disappointment * The Aggregation of Marginal Gains What's similar to this idea? * Delayed gratificat