English/IT English Reading & Discussion

๐Ÿ“˜ [Tech English with Articles] Day 3 โ€“ What is Continuous Monitoring?

ygtoken 2025. 4. 8. 07:37
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๐Ÿ“ฐ English Article

Continuous Monitoring is a core DevOps practice that allows teams to track system health and performance in real time.
It involves automatically collecting dataโ€”like metrics, logs, and tracesโ€”to detect issues before they affect users.

Unlike manual monitoring, which often relies on alerts after a problem has occurred, continuous monitoring helps identify problems as they emerge.
This leads to faster incident response and improved service reliability.

Tools like Prometheus, Grafana, Elastic Stack, and Datadog are widely used for continuous monitoring.
They provide dashboards, alerting rules, and real-time visualizations.

For example, if a Kubernetes pod crashes or CPU usage spikes, a continuous monitoring system can instantly notify the DevOps team.
That allows engineers to act before a user even notices the problem.

Ultimately, continuous monitoring is not just about tools.
It reflects a proactive mindsetโ€”monitoring systems before problems grow, and learning from data to improve the system continuously.

โธป

๐Ÿ“˜ Korean Translation (๋ฌธ๋‹จ๋ณ„)

**Continuous Monitoring(์ง€์†์  ๋ชจ๋‹ˆํ„ฐ๋ง)**์€ DevOps์˜ ํ•ต์‹ฌ ์‹ค์ฒœ์œผ๋กœ, ํŒ€์ด ์‹œ์Šคํ…œ ์ƒํƒœ์™€ ์„ฑ๋Šฅ์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ถ”์ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ด์ค๋‹ˆ๋‹ค.
์ด๋Š” ๋ฉ”ํŠธ๋ฆญ, ๋กœ๊ทธ, ํŠธ๋ ˆ์ด์Šค ๋“ฑ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ž๋™์œผ๋กœ ์ˆ˜์ง‘ํ•˜์—ฌ, ๋ฌธ์ œ๊ฐ€ ์‚ฌ์šฉ์ž์—๊ฒŒ ์˜ํ–ฅ์„ ์ฃผ๊ธฐ ์ „์— ๋ฏธ๋ฆฌ ๊ฐ์ง€ํ•˜๊ฒŒ ๋„์™€์ค๋‹ˆ๋‹ค.

์ˆ˜๋™ ๋ชจ๋‹ˆํ„ฐ๋ง์ด ์ข…์ข… ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•œ ํ›„ ๊ฒฝ๊ณ ์— ์˜์กดํ•˜๋Š” ๋ฐ˜๋ฉด, ์ง€์†์  ๋ชจ๋‹ˆํ„ฐ๋ง์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ์ˆœ๊ฐ„์„ ์‹๋ณ„ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ด์ค๋‹ˆ๋‹ค.
๊ทธ ๊ฒฐ๊ณผ ๋” ๋น ๋ฅธ ์žฅ์•  ๋Œ€์‘๊ณผ ํ–ฅ์ƒ๋œ ์„œ๋น„์Šค ์‹ ๋ขฐ์„ฑ์„ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Prometheus, Grafana, Elastic Stack, Datadog๊ณผ ๊ฐ™์€ ๋„๊ตฌ๋“ค์ด ๋„๋ฆฌ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.
์ด๋“ค์€ ๋Œ€์‹œ๋ณด๋“œ, ์•Œ๋ฆผ ๊ทœ์น™, ์‹ค์‹œ๊ฐ„ ์‹œ๊ฐํ™” ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

์˜ˆ๋ฅผ ๋“ค์–ด, Kubernetes ํŒŒ๋“œ๊ฐ€ ์ถฉ๋Œํ•˜๊ฑฐ๋‚˜ CPU ์‚ฌ์šฉ๋ฅ ์ด ๊ธ‰์ฆํ•˜๋ฉด, ์ง€์†์  ๋ชจ๋‹ˆํ„ฐ๋ง ์‹œ์Šคํ…œ์€ ์ฆ‰์‹œ DevOps ํŒ€์— ์•Œ๋ฆผ์„ ๋ณด๋ƒ…๋‹ˆ๋‹ค.
์ด๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๊ฐ€ ๋ฌธ์ œ๋ฅผ ์ธ์ง€ํ•˜๊ธฐ๋„ ์ „์— ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ฒฐ๊ตญ, ์ง€์†์  ๋ชจ๋‹ˆํ„ฐ๋ง์€ ๋‹จ์ˆœํ•œ ๋„๊ตฌ ์‚ฌ์šฉ์„ ๋„˜์–ด ์„ ์ œ์  ์‚ฌ๊ณ ๋ฐฉ์‹์„ ๋ฐ˜์˜ํ•ฉ๋‹ˆ๋‹ค.
๋ฌธ์ œ๊ฐ€ ์ปค์ง€๊ธฐ ์ „์— ์‹œ์Šคํ…œ์„ ๊ด€์ฐฐํ•˜๊ณ , ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์ง€์†์ ์œผ๋กœ ์‹œ์Šคํ…œ์„ ๊ฐœ์„ ํ•˜๋Š” ๋ฌธํ™”๋ฅผ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.

โธป

๐Ÿ—‚๏ธ Key Expressions (with translations)
1. continuous monitoring
โ†’ ์ง€์†์  ๋ชจ๋‹ˆํ„ฐ๋ง
2. real-time performance tracking
โ†’ ์‹ค์‹œ๊ฐ„ ์„ฑ๋Šฅ ์ถ”์ 
โ†’ We implemented real-time tracking with Grafana.
3. incident response
โ†’ ์žฅ์•  ๋Œ€์‘
โ†’ Faster incident response reduces downtime.
4. proactive mindset
โ†’ ์„ ์ œ์  ์‚ฌ๊ณ ๋ฐฉ์‹
โ†’ Continuous monitoring reflects a proactive mindset.
5. metrics, logs, and traces
โ†’ ๋ฉ”ํŠธ๋ฆญ, ๋กœ๊ทธ, ํŠธ๋ ˆ์ด์Šค (๋ชจ๋‹ˆํ„ฐ๋ง 3๋Œ€ ์ถ•)


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