"Control plane has few component, it's like the brain of the cluster, the data plane is the work horse, CP has etcd, api-server, DP has kublet and kube-proxy"
Hyder A. - "Control plane has few component, it's like the brain of the cluster, the data plane is the work horse, CP has etcd, api-server, DP has kublet and kube-proxy"See full answer
"Things can get chaotic a lot of times where you're pulled into endless meetings with slack pings, emails, tags from Jira/confluence as well as adhoc asks from leadership team. Based on urgency/severity of tasks at hand, I would have my own board for tracking my tasks and set priorities and due dates. For instance, I would create my own Trello board of things that need to get completed in specific date, block out time in my calendar to work on them (as well as putting reminders on my calendar 3 d"
Esther S. - "Things can get chaotic a lot of times where you're pulled into endless meetings with slack pings, emails, tags from Jira/confluence as well as adhoc asks from leadership team. Based on urgency/severity of tasks at hand, I would have my own board for tracking my tasks and set priorities and due dates. For instance, I would create my own Trello board of things that need to get completed in specific date, block out time in my calendar to work on them (as well as putting reminders on my calendar 3 d"See full answer
Behavioral
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"First of all, are some of these hypothetical questions?
Doesn't sound like a recent Meta Analytical/Execution and rather is a strategy question but you can lead someone from a decision to an execution, I guess!"
Sri H. - "First of all, are some of these hypothetical questions?
Doesn't sound like a recent Meta Analytical/Execution and rather is a strategy question but you can lead someone from a decision to an execution, I guess!"See full answer
"Type I error (typically denoted by alpha) is the probability of mistakenly rejecting a true null hypothesis (i.e., We conclude that something significant is happening when there's nothing going on). Type II (typically denoted by beta) error is the probability of failing to reject a false null hypothesis (i.e., we conclude that there's nothing going on when there is something significant happening).
The difference is that type I error is a false positive and type II error is a false negative. T"
Lucas G. - "Type I error (typically denoted by alpha) is the probability of mistakenly rejecting a true null hypothesis (i.e., We conclude that something significant is happening when there's nothing going on). Type II (typically denoted by beta) error is the probability of failing to reject a false null hypothesis (i.e., we conclude that there's nothing going on when there is something significant happening).
The difference is that type I error is a false positive and type II error is a false negative. T"See full answer