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Posted to commits@airflow.apache.org by gi...@apache.org on 2022/07/18 10:21:48 UTC
[airflow-site] branch gh-pages updated: Deploying to gh-pages from @ 5412fb493d9fa1c0f96e6e948f4561d14f7baf53 🚀
This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch gh-pages
in repository https://gitbox.apache.org/repos/asf/airflow-site.git
The following commit(s) were added to refs/heads/gh-pages by this push:
new e4b77c1e63 Deploying to gh-pages from @ 5412fb493d9fa1c0f96e6e948f4561d14f7baf53 🚀
e4b77c1e63 is described below
commit e4b77c1e63a4b5cd3ea6ce29921b80b4dc6e656a
Author: potiuk <ja...@potiuk.com>
AuthorDate: Mon Jul 18 10:21:41 2022 +0000
Deploying to gh-pages from @ 5412fb493d9fa1c0f96e6e948f4561d14f7baf53 🚀
---
.asf.yaml | 5 +-
blog/airflow-1.10.10/index.html | 4 +-
blog/airflow-1.10.12/index.html | 4 +-
blog/airflow-1.10.8-1.10.9/index.html | 4 +-
blog/airflow-2.2.0/index.html | 4 +-
blog/airflow-2.3.0/index.html | 4 +-
blog/airflow-survey-2020/index.html | 4 +-
blog/airflow-survey-2022/index.html | 4 +-
blog/airflow-survey/index.html | 4 +-
blog/airflow-two-point-oh-is-here/index.html | 4 +-
blog/airflow_summit_2021/index.html | 4 +-
blog/airflow_summit_2022/index.html | 4 +-
blog/announcing-new-website/index.html | 4 +-
blog/apache-airflow-for-newcomers/index.html | 4 +-
.../index.html | 4 +-
.../index.html | 4 +-
.../index.html | 4 +-
.../index.html | 4 +-
.../index.html | 4 +-
.../index.html | 4 +-
index.html | 32 +++----
search/index.html | 4 +-
sitemap.xml | 98 +++++++++++-----------
use-cases/adobe/index.html | 4 +-
use-cases/adyen/index.html | 4 +-
use-cases/big-fish-games/index.html | 4 +-
use-cases/dish/index.html | 4 +-
use-cases/experity/index.html | 4 +-
use-cases/onefootball/index.html | 4 +-
use-cases/plarium-krasnodar/index.html | 4 +-
use-cases/seniorlink/index.html | 4 +-
use-cases/sift/index.html | 4 +-
32 files changed, 126 insertions(+), 125 deletions(-)
diff --git a/.asf.yaml b/.asf.yaml
index e774ac0538..00e70a680c 100644
--- a/.asf.yaml
+++ b/.asf.yaml
@@ -32,8 +32,9 @@ github:
protected_branches:
main:
- required_pull_request_reviews:
- required_approving_review_count: 1
+ required_status_checks:
+ strict: true
+ required_linear_history: true
ghp_branch: gh-pages
diff --git a/blog/airflow-1.10.10/index.html b/blog/airflow-1.10.10/index.html
index 9a49f5515d..a3477ceb92 100644
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index 7ba9aeba6c..b3d40c72e8 100644
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index 86dfa27c95..ce5ae33321 100644
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index 905747369c..1076822dac 100644
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index 12bb882ba9..6db9e12c0e 100644
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index e3d867f5bd..c0ca5acde9 100644
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index 569873f119..eeb1df5fa2 100644
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index f11219b4b6..cf1d4741b9 100644
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index 5f1dd80cff..889394f5fb 100644
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index 97ff68def4..755511afd7 100644
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index 6820667dc2..67ecf72e07 100644
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index 954c2bb4ca..441fac0898 100644
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index 3ff038a7b5..ef3ccbcd3a 100644
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<loc>/blog/tags/airflow-summit/</loc>
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<loc>/blog/airflow_summit_2022/</loc>
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<loc>/blog/airflow-2.3.0/</loc>
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<loc>/blog/tags/release/</loc>
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<loc>/blog/airflow_summit_2021/</loc>
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<loc>/blog/airflow-survey-2020/</loc>
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<loc>/blog/airflow-two-point-oh-is-here/</loc>
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<loc>/blog/experience-with-airflow-as-an-outreachy-intern/</loc>
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<loc>/blog/apache-airflow-for-newcomers/</loc>
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<loc>/blog/implementing-stable-api-for-apache-airflow/</loc>
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<loc>/blog/tags/rest-api/</loc>
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<loc>/blog/documenting-using-local-development-environments/</loc>
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</url><url>
<loc>/use-cases/dish/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/ecosystem/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/use-cases/experity/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/install/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/meetups/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/use-cases/onefootball/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/use-cases/plarium-krasnodar/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/privacy-notice/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/roadmap/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/search/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/use-cases/seniorlink/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/use-cases/sift/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url><url>
<loc>/use-cases/</loc>
- <lastmod>2022-07-17T11:00:06+02:00</lastmod>
+ <lastmod>2022-07-18T12:13:19+02:00</lastmod>
</url>
</urlset>
diff --git a/use-cases/adobe/index.html b/use-cases/adobe/index.html
index bd0aa496d5..9cdab652de 100644
--- a/use-cases/adobe/index.html
+++ b/use-cases/adobe/index.html
@@ -34,11 +34,11 @@
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/adobe/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Adobe">
<meta itemprop="description" content="What was the problem? Modern big data platforms need sophisticated data pipelines connecting to many backend services enabling complex workflows. These workflows need to be deployed, monitored, and run either on regular schedules or triggered by external events. Adobe Experience Platform component services architected and built an orchestration service to enable their users to author, schedule, and monitor complex hierarchical (including sequential a [...]
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="251"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/adyen/index.html b/use-cases/adyen/index.html
index 55be1e5177..e688b31d69 100644
--- a/use-cases/adyen/index.html
+++ b/use-cases/adyen/index.html
@@ -34,11 +34,11 @@
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/adyen/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Adyen">
<meta itemprop="description" content="What was the problem? Many years ago we started out with our own orchestration framework. Due to all the required custom functionality it made sense at the time. However, quickly we realized creating an orchestration tool is not to be underestimated. With the quickly increasing number of users and teams, time spent on fixing issues increased, severely limiting development speed. Furthermore, due to it not being open source, we constantly had to make [...]
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="405"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/big-fish-games/index.html b/use-cases/big-fish-games/index.html
index be1a7e038a..77d2d56793 100644
--- a/use-cases/big-fish-games/index.html
+++ b/use-cases/big-fish-games/index.html
@@ -34,11 +34,11 @@
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/big-fish-games/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Big Fish Games">
<meta itemprop="description" content="What was the problem? The main challenge is the lack of standardized ETL workflow orchestration tools. PowerShell and Python-based ETL frameworks built in-house are currently used for scheduling and running analytical workloads. However, there is no web UI through which we can monitor these workflows and it requires additional effort to maintain this framework. These scheduled jobs based on external dependencies are not well suited to modern Big Data [...]
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="336"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/dish/index.html b/use-cases/dish/index.html
index baec5acc6b..c2765c776d 100644
--- a/use-cases/dish/index.html
+++ b/use-cases/dish/index.html
@@ -34,11 +34,11 @@
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/dish/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Dish">
<meta itemprop="description" content="What was the problem? We faced increasing complexity managing lengthy crontabs with scheduling being an issue, this required carefully planning timing due to resource constraints, usage patterns, and especially custom code needed for retry logic. In the last case, having to verify success of previous jobs and/or steps prior to running the next. Furthermore, time to results is important, but we were increasingly relying on buffers for processing, wher [...]
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="248"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/experity/index.html b/use-cases/experity/index.html
index a1a9a91c09..8a97ae2893 100644
--- a/use-cases/experity/index.html
+++ b/use-cases/experity/index.html
@@ -35,12 +35,12 @@ How did Apache Airflow help to solve this problem? Ultimately we decided flexibl
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/experity/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Experity">
<meta itemprop="description" content="What was the problem? We had to deploy our complex, flagship app to multiple nodes in multiple ways. This required tasks to communicate across Windows nodes and coordinate timing perfectly. We did not want to buy an expensive enterprise scheduling tool and needed ultimate flexibility.
How did Apache Airflow help to solve this problem? Ultimately we decided flexible, multi-node, DAG capable tooling was key and airflow was one of the few tools that fit that bill.">
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="191"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/onefootball/index.html b/use-cases/onefootball/index.html
index e9a02c4465..b393b8b63d 100644
--- a/use-cases/onefootball/index.html
+++ b/use-cases/onefootball/index.html
@@ -35,12 +35,12 @@ On top of that, new data tools appear each month: third party data sources, clou
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/onefootball/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Onefootball">
<meta itemprop="description" content="What was the problem? With millions of daily active users, managing the complexity of data engineering at Onefootball is a constant challenge. Lengthy crontabs, multiplication of custom API clients, erosion of confidence in the analytics served, increasing heroism (“only one person can solve this issue”). Those are the challenges that most teams face unless they consciously invest in their tools and processes.
On top of that, new data tools appear each month: third party data sources, cloud providers solutions, different storage technologies… Managing all those integrations is costly and brittle, especially for small data engineering teams that are trying to do more with less.">
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="294"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/plarium-krasnodar/index.html b/use-cases/plarium-krasnodar/index.html
index 32d7eafe8d..80ddd9693e 100644
--- a/use-cases/plarium-krasnodar/index.html
+++ b/use-cases/plarium-krasnodar/index.html
@@ -34,11 +34,11 @@
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/plarium-krasnodar/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Plarium Krasnodar">
<meta itemprop="description" content="What was the problem? Our Research & Development department carries out various experiments, and in all of them, we need to create workflow orchestrations for solving tasks in game dev. 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 w [...]
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="257"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/seniorlink/index.html b/use-cases/seniorlink/index.html
index 3c5c43cd6e..b8e1c41d76 100644
--- a/use-cases/seniorlink/index.html
+++ b/use-cases/seniorlink/index.html
@@ -35,12 +35,12 @@ We had built a robust stack of batch processes to deliver value to the business,
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/seniorlink/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Seniorlink">
<meta itemprop="description" content="What was the problem? Here at Seniorlink, we provide services, support, and technology that engages family caregivers. One of our focuses is using data to bolster our knowledge and improve the experience of our users. Like many looking to build an effective data stack, we adopted a Python, Spark, Redshift, and Tableau core toolset.
We had built a robust stack of batch processes to deliver value to the business, deploying these data services in AWS using a mixture of EMR, ECS, Lambda, and EC2.">
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="400"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>
diff --git a/use-cases/sift/index.html b/use-cases/sift/index.html
index 4ff2f8891c..72d86af26b 100644
--- a/use-cases/sift/index.html
+++ b/use-cases/sift/index.html
@@ -34,11 +34,11 @@
<meta property="og:type" content="article" />
<meta property="og:url" content="/use-cases/sift/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" />
-<meta property="article:modified_time" content="2022-07-17T11:00:06+02:00" /><meta property="og:site_name" content="Apache Airflow" />
+<meta property="article:modified_time" content="2022-07-18T12:13:19+02:00" /><meta property="og:site_name" content="Apache Airflow" />
<meta itemprop="name" content="Sift">
<meta itemprop="description" content="What was the problem? At Sift, we’re constantly training machine learning models that feed into the core of Sift’s Digital Trust & Safety platform. The platform gives our customers a way to discern suspicious online behavior from trustworthy behavior, allowing our customers to protect their online transactions, maintain the integrity of their content platforms, and keep their users’ accounts secure. To make this possible, we’ve built model traini [...]
-<meta itemprop="dateModified" content="2022-07-17T11:00:06+02:00" />
+<meta itemprop="dateModified" content="2022-07-18T12:13:19+02:00" />
<meta itemprop="wordCount" content="641"><meta itemprop="image" content="/images/feature-image.png"/>
<meta itemprop="keywords" content="" /><meta name="twitter:card" content="summary_large_image"/>
<meta name="twitter:image" content="/images/feature-image.png"/>