Ninth Korean l10n work for release 1.18

- Fix error in k8s.io/ko/docs/concepts/workloads/pods/pod-lifecycle/ (#22681)
- Translate docs/reference/setup-tools/kubeadm/kubeadm.md in Korean (#22684)
- Update outdated files in dev-1.18-ko.9 branch (#22686)
- Fix issues of ko-doc links in translated docs (#22718)
- Translate concepts/cluster-administration/monitoring.md into Korean (#22808)
- Translate tasks/access-application-cluster/service-access-application-cluster in Korean (#22800)
- Translate concepts/storage/storage-limits.md into Korean (#22795)

Co-authored-by: Jihoon Seo <jihoon.seo@etri.re.kr>
Co-authored-by: Reung37 <reung37@naver.com>
Co-authored-by: Seokho Son <shsongist@gmail.com>
Co-authored-by: Jerry Park <jaehwa@gmail.com>
Co-authored-by: coolguyhong <podolsmith@naver.com>

content/ko/case-studies/workiva/index.html

@@ -11,7 +11,7 @@ quote: >
   With OpenTracing, my team was able to look at a trace and make optimization suggestions to another team without ever looking at their code.
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-<div class="banner1 desktop" style="background-image: url('/images/CaseStudy_workiva_banner1.jpg')">
+<div class="banner1 desktop" style="background-image: url('/images/case-studies/workiva/banner1.jpg')">
   <h1> CASE STUDY:<img src="/images/workiva_logo.png" style="margin-bottom:0%" class="header_logo"><br> <div class="subhead">Using OpenTracing to Help Pinpoint the Bottlenecks
 
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@@ -30,12 +30,12 @@ quote: >
     <a href="https://www.workiva.com/">Workiva</a> offers a cloud-based platform for managing and reporting business data. This SaaS product, Wdesk, is used by more than 70 percent of the Fortune 500 companies. As the company made the shift from a monolith to a more distributed, microservice-based system, "We had a number of people working on this, all on different teams, so we needed to identify what the issues were and where the bottlenecks were," says Senior Software Architect MacLeod Broad. With back-end code running on Google App Engine, Google Compute Engine, as well as Amazon Web Services, Workiva needed a tracing system that was agnostic of platform. While preparing one of the company’s first products utilizing AWS, which involved a "sync and link" feature that linked data from spreadsheets built in the new application with documents created in the old application on Workiva’s existing system, Broad’s team found an ideal use case for tracing: There were circular dependencies, and optimizations often turned out to be micro-optimizations that didn’t impact overall speed.
 
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  <h2>Solution</h2>
-    Broad’s team introduced the platform-agnostic distributed tracing system OpenTracing to help them pinpoint the bottlenecks. 
+    Broad’s team introduced the platform-agnostic distributed tracing system OpenTracing to help them pinpoint the bottlenecks.
 <br>
 <h2>Impact</h2>
   Now used throughout the company, OpenTracing produced immediate results. Software Engineer Michael Davis reports: "Tracing has given us immediate, actionable insight into how to improve our service. Through a combination of seeing where each call spends its time, as well as which calls are most often used, we were able to reduce our average response time by 95 percent (from 600ms to 30ms) in a single fix."
@@ -61,14 +61,14 @@ The challenges faced by Broad’s team may sound familiar to other companies tha
 
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-<div class="banner3" style="background-image: url('/images/CaseStudy_workiva_banner3.jpg')">
+<div class="banner3" style="background-image: url('/images/case-studies/workiva/banner3.jpg')">
   <div class="banner3text">
     "A tracing system can at a glance explain an architecture, narrow down a performance bottleneck and zero in on it, and generally just help direct an investigation at a high level. Being able to do that at a glance is much faster than at a meeting or with three days of debugging, and it’s a lot faster than never figuring out the problem and just moving on."<span style="font-size:14px;letter-spacing:0.12em;padding-top:20px;text-transform:uppercase"><br>— MACLEOD BROAD, SENIOR SOFTWARE ARCHITECT AT WORKIVA</span>
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 <div class="fullcol">
- 
+
 Simply put, it was an ideal use case for tracing. "A tracing system can at a glance explain an architecture, narrow down a performance bottleneck and zero in on it, and generally just help direct an investigation at a high level," says Broad. "Being able to do that at a glance is much faster than at a meeting or with three days of debugging, and it’s a lot faster than never figuring out the problem and just moving on."<br><br>
 With Workiva’s back-end code running on <a href="https://cloud.google.com/compute/">Google Compute Engine</a> as well as App Engine and AWS, Broad knew that he needed a tracing system that was platform agnostic. "We were looking at different tracing solutions," he says, "and we decided that because it seemed to be a very evolving market, we didn’t want to get stuck with one vendor. So OpenTracing seemed like the cleanest way to avoid vendor lock-in on what backend we actually had to use."<br><br>
 Once they introduced OpenTracing into this first use case, Broad says, "The trace made it super obvious where the bottlenecks were." Even though everyone had assumed it was Workiva’s existing code that was slowing things down, that wasn’t exactly the case. "It looked like the existing code was slow only because it was reaching out to our next-generation services, and they were taking a very long time to service all those requests," says Broad. "On the waterfall graph you can see the exact same work being done on every request when it was calling back in. So every service request would look the exact same for every response being paged out. And then it was just a no-brainer of, ‘Why is it doing all this work again?’"<br><br>
@@ -78,7 +78,7 @@ Using the insight OpenTracing gave them, "My team was able to look at a trace an
 
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-<div class="banner4" style="background-image: url('/images/CaseStudy_workiva_banner4.jpg')">
+<div class="banner4" style="background-image: url('/images/case-studies/workiva/banner4.jpg')">
   <div class="banner4text">
 "We were looking at different tracing solutions and we decided that because it seemed to be a very evolving market, we didn’t want to get stuck with one vendor. So OpenTracing seemed like the cleanest way to avoid vendor lock-in on what backend we actually had to&nbsp;use." <span style="font-size:14px;letter-spacing:0.12em;padding-top:20px;text-transform:uppercase"><br>— MACLEOD BROAD, SENIOR SOFTWARE ARCHITECT AT WORKIVA</span>
   </div>
@@ -90,7 +90,7 @@ Using the insight OpenTracing gave them, "My team was able to look at a trace an
 Some teams were won over quickly. "Tracing has given us immediate, actionable insight into how to improve our [Workspaces] service," says Software Engineer Michael Davis. "Through a combination of seeing where each call spends its time, as well as which calls are most often used, we were able to reduce our average response time by 95 percent (from 600ms to 30ms) in a single fix." <br><br>
 Most of Workiva’s major products are now traced using OpenTracing, with data pushed into <a href="https://cloud.google.com/stackdriver/">Google StackDriver</a>. Even the products that aren’t fully traced have some components and libraries that are. <br><br>
 Broad points out that because some of the engineers were working on App Engine and already had experience with the platform’s Appstats library for profiling performance, it didn’t take much to get them used to using OpenTracing. But others were a little more reluctant. "The biggest hindrance to adoption I think has been the concern about how much latency is introducing tracing [and StackDriver] going to cost," he says. "People are also very concerned about adding middleware to whatever they’re working on. Questions about passing the context around and how that’s done were common. A lot of our Go developers were fine with it, because they were already doing that in one form or another. Our Java developers were not super keen on doing that because they’d used other systems that didn’t require that."<br><br>
-But the benefits clearly outweighed the concerns, and today, Workiva’s official policy is to use tracing." 
+But the benefits clearly outweighed the concerns, and today, Workiva’s official policy is to use tracing."
 In fact, Broad believes that tracing naturally fits in with Workiva’s existing logging and metrics systems. "This was the way we presented it internally, and also the way we designed our use," he says. "Our traces are logged in the exact same mechanism as our app metric and logging data, and they get pushed the exact same way. So we treat all that data exactly the same when it’s being created and when it’s being recorded. We have one internal library that we use for logging, telemetry, analytics and tracing."
 
 
@@ -98,7 +98,7 @@ In fact, Broad believes that tracing naturally fits in with Workiva’s existing
 
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-   "Tracing has given us immediate, actionable insight into how to improve our [Workspaces] service. Through a combination of seeing where each call spends its time, as well as which calls are most often used, we were able to reduce our average response time by 95 percent (from 600ms to 30ms) in&nbsp;a&nbsp;single&nbsp;fix." <span style="font-size:14px;letter-spacing:0.12em;padding-top:20px;text-transform:uppercase"><br>— Michael Davis, Software Engineer, Workiva </span> 
+   "Tracing has given us immediate, actionable insight into how to improve our [Workspaces] service. Through a combination of seeing where each call spends its time, as well as which calls are most often used, we were able to reduce our average response time by 95 percent (from 600ms to 30ms) in&nbsp;a&nbsp;single&nbsp;fix." <span style="font-size:14px;letter-spacing:0.12em;padding-top:20px;text-transform:uppercase"><br>— Michael Davis, Software Engineer, Workiva </span>
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