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docs (level 101): fix typos, punctuation, formatting (#160)

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* docs: formatted for readability

* docs: rephrased and added punctuation

* docs: fix typos, punctuation, formatting

* docs: fix typo and format

* docs: fix caps and formatting

* docs: fix punctuation and formatting

* docs: capitalized SQL commands, fixed puntuation, formatting

* docs: fix punctuation

* docs: fix punctuation and formatting

* docs: fix caps,punctuation and formatting

* docs: fix links, punctuation, formatting

* docs: fix code block formatting

* docs: fix punctuation, indentation and formatting
This commit is contained in:
Jana R
2024-07-28 17:38:19 +05:30
committed by GitHub
parent bdcc6856ed
commit 4239ecf473
58 changed files with 1522 additions and 1367 deletions
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courses/level101/metrics_and_monitoring/observability.md
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@@ -3,7 +3,7 @@
# Observability
Engineers often use observability when referring to building reliable
systems. *Observability* is a term derived from control theory, It is a
systems. *Observability* is a term derived from control theory, it is a
measure of how well internal states of a system can be inferred from
knowledge of its external outputs. Service infrastructures used on a
daily basis are becoming more and more complex; proactive monitoring
@@ -82,7 +82,7 @@ Figure 10 shows a log processing platform using ELK (Elasticsearch,
Logstash, Kibana), which provides centralized log processing. Beats is a
collection of lightweight data shippers that can ship logs, audit data,
network data, and so on over the network. In this use case specifically,
we are using filebeat as a log shipper. Filebeat watches service log
we are using Filebeat as a log shipper. Filebeat watches service log
files and ships the log data to Logstash. Logstash parses these logs and
transforms the data, preparing it to store on Elasticsearch. Transformed
log data is stored on Elasticsearch and indexed for fast retrieval.