leahecole commented on a change in pull request #373:
URL: https://github.com/apache/airflow-site/pull/373#discussion_r560392953
##########
File path: landing-pages/site/content/en/use-cases/plarium-krasnodar.md
##########
@@ -0,0 +1,17 @@
+---
+title: "Plarium Krasnodar"
+linkTitle: "Plarium Krasnodar"
+quote:
+ text: "Apache Airflow helps us efficiently tackle crucial game dev tasks,
such as working with churn or sorting bank offers."
+ author: "David Manukian"
+logo: "plarium-krasnodar-logo.svg"
+---
+
+##### What was the problem?
+Our Research & Development department carries out experiments that are aimed
at finding better solutions. Previously, we didn't have any suitable tools with
a sufficient number of built-in functions, and we had to orchestrate processes
manually and entirely from scratch every time. This led to difficulties with
dependencies and monitoring when building complex workflows. We needed a tool
that would provide a more centralized approach so that we could see all the
logs, the number of retries, and the task performance time. The most important
thing that we lacked was the ability to backfill historical data and restart
failed tasks.
Review comment:
"...aimed at finding better solutions." <- this first sentence may be
stronger if you expand on this point by giving either some general types of
solutions or a specific one. For example (I'm totally making these up, they may
have nothing to do with your use case 😄 )
- "better solutions to our customer's data analytics problems"
- "better solutions to slow, manual data pipelines"
- "better solutions to solve the problems our developers encounter daily."
- "alternatives to ..." (instead of solutions)
##########
File path: landing-pages/site/content/en/use-cases/plarium-krasnodar.md
##########
@@ -0,0 +1,17 @@
+---
+title: "Plarium Krasnodar"
+linkTitle: "Plarium Krasnodar"
+quote:
+ text: "Apache Airflow helps us efficiently tackle crucial game dev tasks,
such as working with churn or sorting bank offers."
+ author: "David Manukian"
+logo: "plarium-krasnodar-logo.svg"
+---
+
+##### What was the problem?
+Our Research & Development department carries out experiments that are aimed
at finding better solutions. Previously, we didn't have any suitable tools with
a sufficient number of built-in functions, and we had to orchestrate processes
manually and entirely from scratch every time. This led to difficulties with
dependencies and monitoring when building complex workflows. We needed a tool
that would provide a more centralized approach so that we could see all the
logs, the number of retries, and the task performance time. The most important
thing that we lacked was the ability to backfill historical data and restart
failed tasks.
+
+##### How did Apache Airflow help to solve this problem?
+Apache Airflow offers lots of convenient built-in solutions, including
integrative ones. The DAG model helps us avoid errors and follow general
patterns when building workflows. In addition, this platform has a large
community where we can find plenty of sensors and operators that cover 90% of
our cases. This allows us to save ourselves loads of time.
Review comment:
😍 for the Airflow community shoutout
##########
File path: landing-pages/site/content/en/use-cases/plarium-krasnodar.md
##########
@@ -0,0 +1,17 @@
+---
+title: "Plarium Krasnodar"
+linkTitle: "Plarium Krasnodar"
+quote:
+ text: "Apache Airflow helps us efficiently tackle crucial game dev tasks,
such as working with churn or sorting bank offers."
+ author: "David Manukian"
+logo: "plarium-krasnodar-logo.svg"
+---
+
+##### What was the problem?
+Our Research & Development department carries out experiments that are aimed
at finding better solutions. Previously, we didn't have any suitable tools with
a sufficient number of built-in functions, and we had to orchestrate processes
manually and entirely from scratch every time. This led to difficulties with
dependencies and monitoring when building complex workflows. We needed a tool
that would provide a more centralized approach so that we could see all the
logs, the number of retries, and the task performance time. The most important
thing that we lacked was the ability to backfill historical data and restart
failed tasks.
+
+##### How did Apache Airflow help to solve this problem?
+Apache Airflow offers lots of convenient built-in solutions, including
integrative ones. The DAG model helps us avoid errors and follow general
patterns when building workflows. In addition, this platform has a large
community where we can find plenty of sensors and operators that cover 90% of
our cases. This allows us to save ourselves loads of time.
+
+##### What are the results?
+Thanks to Apache Airflow, we've managed to simplify the process of building
complex workflows. Many procedures that are so important for game development,
such as working with the churn rate, processing messages to the support team,
and sorting bank offers, run efficiently, and all issues are resolved
centrally. In addition, Apache Airflow is widely used in the industry, allowing
us to onboard new people to our team more quickly and smoothly.
Review comment:
```suggestion
Thanks to Apache Airflow, we've managed to simplify the process of building
complex workflows. Many procedures that are so important for game development,
such as working with the churn rate, processing messages to the support team,
and sorting bank offers, now run efficiently, and all issues are resolved
centrally. In addition, Apache Airflow is widely used in the industry, allowing
us to onboard new people to our team more quickly and smoothly.
```
I just added "now" here to help with this big sentence. You could retool the
sentence a little bit, but I'm not sure if it would be worth it. It might just
be one of those cases where I don't like this sentence because the English
language is the worst and not because I don't like how you wrote it 😁
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