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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