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The following commit(s) were added to refs/heads/publish by this push: new ebbce96976 Docs updated via refs/heads/main:5037917727e162062f8d09f6a856c2db506cc897 ebbce96976 is described below commit ebbce9697603274dbb6f57ee3662eebaa97c41f1 Author: GitHub Actions <acti...@users.noreply.github.com> AuthorDate: Sun May 11 14:51:09 2025 +0000 Docs updated via refs/heads/main:5037917727e162062f8d09f6a856c2db506cc897 --- 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-2.10.0/index.html | 4 +- blog/airflow-2.2.0/index.html | 4 +- blog/airflow-2.3.0/index.html | 4 +- blog/airflow-2.4.0/index.html | 4 +- blog/airflow-2.5.0/index.html | 4 +- blog/airflow-2.6.0/index.html | 4 +- blog/airflow-2.7.0/index.html | 4 +- blog/airflow-2.8.0/index.html | 4 +- blog/airflow-2.9.0/index.html | 4 +- blog/airflow-survey-2020/index.html | 4 +- blog/airflow-survey-2022/index.html | 4 +- blog/airflow-survey-2023/index.html | 4 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content="2025-04-22T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Apache Airflow® 3 is Generally Available!"> <meta itemprop="description" content="We're proud to announce that Apache Airflow 3.0.0 has been released."><meta itemprop="datePublished" content="2025-04-22T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="2192"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Release," /> diff --git a/blog/airflow-two-point-oh-is-here/index.html b/blog/airflow-two-point-oh-is-here/index.html index 791fb4335a..ded9487304 100644 --- a/blog/airflow-two-point-oh-is-here/index.html +++ b/blog/airflow-two-point-oh-is-here/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/airflow-two-point-oh-is-here/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2020-12-17T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Apache Airflow 2.0 is here!"> <meta itemprop="description" content="We're proud to announce that Apache Airflow 2.0.0 has been released."><meta itemprop="datePublished" content="2020-12-17T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="1165"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Release," /> diff --git a/blog/airflow_summit_2021/index.html b/blog/airflow_summit_2021/index.html index 414a2cb725..2078fd32b7 100644 --- a/blog/airflow_summit_2021/index.html +++ b/blog/airflow_summit_2021/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/airflow_summit_2021/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2021-03-21T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Airflow Summit 2021"> <meta itemprop="description" content="We are thrilled about Airflow Summit 2021!"><meta itemprop="datePublished" content="2021-03-21T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="77"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Community,Airflow Summit," /> diff --git a/blog/airflow_summit_2022/index.html b/blog/airflow_summit_2022/index.html index c345b9729e..cdcc02f8fa 100644 --- a/blog/airflow_summit_2022/index.html +++ b/blog/airflow_summit_2022/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/airflow_summit_2022/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2022-05-16T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Airflow Summit 2022"> <meta itemprop="description" content="Airflow Summit 2022 is here"><meta itemprop="datePublished" content="2022-05-16T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="129"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Community,Airflow Summit," /> diff --git a/blog/announcing-new-website/index.html b/blog/announcing-new-website/index.html index e7539d2753..8681d57f43 100644 --- a/blog/announcing-new-website/index.html +++ b/blog/announcing-new-website/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/announcing-new-website/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2019-12-11T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="New Airflow website"> <meta itemprop="description" content="We are thrilled about our new website!"><meta itemprop="datePublished" content="2019-12-11T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="282"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Community," /> diff --git a/blog/apache-airflow-for-newcomers/index.html b/blog/apache-airflow-for-newcomers/index.html index 573a587192..5d4228a3e6 100644 --- a/blog/apache-airflow-for-newcomers/index.html +++ b/blog/apache-airflow-for-newcomers/index.html @@ -37,12 +37,12 @@ Authoring Workflow in Apache Airflow. Airflow makes it easy to author workflows <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/apache-airflow-for-newcomers/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2020-08-17T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Apache Airflow For Newcomers"> <meta itemprop="description" content="Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. A workflow is a sequence of tasks that processes a set of data. You can think of workflow as the path that describes how tasks go from being undone to done. Scheduling, on the other hand, is the process of planning, controlling, and optimizing when a particular task should be done. Authoring Workflow in Apache Airflow. Airflow makes it easy to author workflows using python scripts."><meta itemprop="datePublished" content="2020-08-17T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="1070"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Community," /> diff --git a/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/index.html b/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/index.html index 7a869228f0..0f767665ba 100644 --- a/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/index.html +++ b/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/apache-con-europe-2019-thoughts-and-insights-by-airflow-committers/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2019-11-22T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="ApacheCon Europe 2019 — Thoughts and Insights by Airflow Committers"> <meta itemprop="description" content="Here come some thoughts by Airflow committers and contributors from the ApacheCon Europe 2019. Get to know the ASF community!"><meta itemprop="datePublished" content="2019-11-22T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="138"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Community," /> diff --git a/blog/documenting-using-local-development-environments/index.html b/blog/documenting-using-local-development-environments/index.html index 6e1dea53dc..99608286a5 100644 --- a/blog/documenting-using-local-development-environments/index.html +++ b/blog/documenting-using-local-development-environments/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/documenting-using-local-development-environments/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2019-11-22T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Documenting using local development environment"> <meta itemprop="description" content="The story behind documenting local development environment of Apache Airflow"><meta itemprop="datePublished" content="2019-11-22T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="256"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Development," /> diff --git a/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/index.html b/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/index.html index cf034c3f25..a974a14e81 100644 --- a/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/index.html +++ b/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/index.html @@ -37,12 +37,12 @@ About Me I have been writing tech articles on medium as well as my blog for the <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/experience-in-google-season-of-docs-2019-with-apache-airflow/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2019-12-20T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Experience in Google Season of Docs 2019 with Apache Airflow"> <meta itemprop="description" content="I came across Google Season of Docs (GSoD) almost by accident, thanks to my extensive HackerNews and Twitter addiction. I was familiar with the Google Summer of Code but not with this program. It turns out it was the inaugural phase. I read the details, and the process felt a lot like GSoC except that this was about documentation. About Me I have been writing tech articles on medium as well as my blog for the past 1."><meta itemprop="datePublished" content="2019-12-20T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="1521"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Documentation," /> diff --git a/blog/experience-with-airflow-as-an-outreachy-intern/index.html b/blog/experience-with-airflow-as-an-outreachy-intern/index.html index 421cc2c213..1a6faf04aa 100644 --- a/blog/experience-with-airflow-as-an-outreachy-intern/index.html +++ b/blog/experience-with-airflow-as-an-outreachy-intern/index.html @@ -37,12 +37,12 @@ Contribution Period The first thing I had to do was choose a project under an or <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/experience-with-airflow-as-an-outreachy-intern/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2020-08-30T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Journey with Airflow as an Outreachy Intern"> <meta itemprop="description" content="Outreachy is a program which organises three months paid internships with FOSS projects for people who are typically underrepresented in those projects. Contribution Period The first thing I had to do was choose a project under an organisation. After going through all the projects I chose “Extending the REST API of Apache Airflow”, because I had a good idea of what REST API(s) are, so I thought it would be easier to get started with the contributions."><meta itemprop="datePublished" content="2020-08-30T00:00:00+00:00" /> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="528"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="Community," /> diff --git a/blog/fab-oid-vulnerability/index.html b/blog/fab-oid-vulnerability/index.html index 502a0e1c39..bd6433e9a2 100644 --- a/blog/fab-oid-vulnerability/index.html +++ b/blog/fab-oid-vulnerability/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/fab-oid-vulnerability/" /><meta property="og:image" content="/images/feature-image.png"/><meta 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itemprop="keywords" content="Vulnerabilities," /> diff --git a/blog/implementing-stable-api-for-apache-airflow/index.html b/blog/implementing-stable-api-for-apache-airflow/index.html index 431a39c0b9..dde242f176 100644 --- a/blog/implementing-stable-api-for-apache-airflow/index.html +++ b/blog/implementing-stable-api-for-apache-airflow/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/blog/implementing-stable-api-for-apache-airflow/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="blog" /> <meta property="article:published_time" content="2020-07-19T00:00:00+00:00" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" 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<lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/use-cases/plarium-krasnodar/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/privacy-notice/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/use-cases/suse/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/roadmap/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/search/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/use-cases/seniorlink/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/use-cases/sift/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/use-cases/snapp/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/blocktype/testimonial/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/use-cases/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url><url> <loc>/blocktype/use-case/</loc> - <lastmod>2025-05-11T16:45:10+02:00</lastmod> + <lastmod>2025-05-11T16:49:00+02:00</lastmod> </url> </urlset> diff --git a/use-cases/adjoe/index.html b/use-cases/adjoe/index.html index cfed72fb09..8ac1490ab3 100644 --- a/use-cases/adjoe/index.html +++ b/use-cases/adjoe/index.html @@ -37,12 +37,12 @@ How did Apache Airflow help to solve this problem?" /> <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/adjoe/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="adjoe"> <meta itemprop="description" content="What was the problem? Before adopting Airflow at adjoe, we handled job scheduling in two main ways: by setting up Kubernetes cronjobs or building AWS Lambda functions. While both approaches had their benefits, they also came with limitations, especially when it came to managing more complex workloads. As our data science teams needs evolved, it became clear that we needed a more robust and flexible orchestration tool. How did Apache Airflow help to solve this problem?"> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="258"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/adobe/index.html b/use-cases/adobe/index.html index b7b7ae25ea..85e5dcc757 100644 --- a/use-cases/adobe/index.html +++ b/use-cases/adobe/index.html @@ -36,11 +36,11 @@ <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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="251"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/adyen/index.html b/use-cases/adyen/index.html index 989435b4a5..43887df33c 100644 --- a/use-cases/adyen/index.html +++ b/use-cases/adyen/index.html @@ -36,11 +36,11 @@ <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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="405"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/big-fish-games/index.html b/use-cases/big-fish-games/index.html index b4dc912819..936a131360 100644 --- a/use-cases/big-fish-games/index.html +++ b/use-cases/big-fish-games/index.html @@ -36,11 +36,11 @@ <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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="336"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/business_operations/index.html b/use-cases/business_operations/index.html index 3ace5f7105..58b248abfb 100644 --- a/use-cases/business_operations/index.html +++ b/use-cases/business_operations/index.html @@ -37,12 +37,12 @@ This video shows an example of using Airflow to run the pipelines that power a c <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/business_operations/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Business Operations"> <meta itemprop="description" content="Use Airflow for Business operations pipelines Airflow can be the starting point for your business idea! For many companies, Airflow delivers the data that powers their core business applications. Whether you need to aggregate user data to power personalized recommendations, display analytics in a user-facing dashboard, or prepare the input data for an LLM, Airflow is the perfect orchestrator. This video shows an example of using Airflow to run the pipelines that power a customer-facing analytics dashboard."> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="425"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/dish/index.html b/use-cases/dish/index.html index e338607703..3b47d61184 100644 --- a/use-cases/dish/index.html +++ b/use-cases/dish/index.html @@ -36,11 +36,11 @@ <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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="248"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/etl_analytics/index.html b/use-cases/etl_analytics/index.html index b4f56327cb..d9df72a1cc 100644 --- a/use-cases/etl_analytics/index.html +++ b/use-cases/etl_analytics/index.html @@ -37,12 +37,12 @@ The video below shows a simple ETL/ELT pipeline in Airflow that extracts climate <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/etl_analytics/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="ETL/ELT"> <meta itemprop="description" content="Use Airflow for ETL/ELT pipelines Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT) data pipelines are the most common use case for Apache Airflow. 90% of respondents in the 2023 Apache Airflow survey are using Airflow for ETL/ELT to power analytics use cases. The video below shows a simple ETL/ELT pipeline in Airflow that extracts climate data from a CSV file, as well as weather data from an API, runs transformations and then loads the results into a database to power a dashboard."> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="300"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/experity/index.html b/use-cases/experity/index.html index 5bbecaa373..fb1b24e206 100644 --- a/use-cases/experity/index.html +++ b/use-cases/experity/index.html @@ -37,12 +37,12 @@ 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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="191"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/infrastructure-management/index.html b/use-cases/infrastructure-management/index.html index c5b8188d98..3af4fdbbe9 100644 --- a/use-cases/infrastructure-management/index.html +++ b/use-cases/infrastructure-management/index.html @@ -37,12 +37,12 @@ Infrastructure management is often needed within the context of other use cases, <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/infrastructure-management/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Infrastructure Management"> <meta itemprop="description" content="Use Airflow for Infrastructure Management Airflow can interact with any API, which makes it a great tool to manage your infrastructure, such as Kubernetes or Spark clusters running in any cloud. As of Airflow 2.7, the setup/teardown feature is available, a special type of task with intelligent behavior to spin up and tear down infrastructure at the exact time you need it. Infrastructure management is often needed within the context of other use cases, such as MLOps, or implementing data quality checks."> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="310"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/mlops/index.html b/use-cases/mlops/index.html index be529adfab..4c2c53aaa1 100644 --- a/use-cases/mlops/index.html +++ b/use-cases/mlops/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/mlops/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="MLOps"> <meta itemprop="description" content="Use Airflow for Machine Learning Operations (MLOps) Machine Learning Operations (MLOps) is a broad term encompassing everything needed to run machine learning models in production. MLOps is a rapidly evolving field with many different best practices and behavioral patterns, with Apache Airflow providing tool agnostic orchestration capabilities for all steps. An emerging subset of MLOps is Large Language Model Operations (LLMOps), which focuses on de [...] -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="376"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/onefootball/index.html b/use-cases/onefootball/index.html index e4d632f9aa..51d0d47dba 100644 --- a/use-cases/onefootball/index.html +++ b/use-cases/onefootball/index.html @@ -37,12 +37,12 @@ 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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="294"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/plarium-krasnodar/index.html b/use-cases/plarium-krasnodar/index.html index 494a89afbf..e21463146c 100644 --- a/use-cases/plarium-krasnodar/index.html +++ b/use-cases/plarium-krasnodar/index.html @@ -36,11 +36,11 @@ <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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="257"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/seniorlink/index.html b/use-cases/seniorlink/index.html index 6f766abfb3..6a2d56348d 100644 --- a/use-cases/seniorlink/index.html +++ b/use-cases/seniorlink/index.html @@ -37,12 +37,12 @@ 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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="400"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/sift/index.html b/use-cases/sift/index.html index a04ba756f8..24bbea4296 100644 --- a/use-cases/sift/index.html +++ b/use-cases/sift/index.html @@ -36,11 +36,11 @@ <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="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+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="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="641"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/snapp/index.html b/use-cases/snapp/index.html index 769dbb8046..899598d6c1 100644 --- a/use-cases/snapp/index.html +++ b/use-cases/snapp/index.html @@ -36,11 +36,11 @@ <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/snapp/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="Snapp"> <meta itemprop="description" content="What was the problem? As the Map team at Snapp, one of the largest and fastest-growing internet companies in the Middle East, we have experienced significant growth over the past couple of years, expanding from a team of 7 to a team of 60. However, with this growth came the realization that some of our crucial tasks were being performed manually. This manual approach consumed valuable time and hindered our ability to execute these tasks efficiently."> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="641"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" /> diff --git a/use-cases/suse/index.html b/use-cases/suse/index.html index 30fa65085d..eed75cdc01 100644 --- a/use-cases/suse/index.html +++ b/use-cases/suse/index.html @@ -37,12 +37,12 @@ The construction of these containers requires the installation of several librar <meta property="og:type" content="article" /> <meta property="og:url" content="/use-cases/suse/" /><meta property="og:image" content="/images/feature-image.png"/><meta property="article:section" content="use-cases" /> -<meta property="article:modified_time" content="2025-05-11T16:45:10+02:00" /><meta property="og:site_name" content="Apache Airflow" /> +<meta property="article:modified_time" content="2025-05-11T16:49:00+02:00" /><meta property="og:site_name" content="Apache Airflow" /> <meta itemprop="name" content="RancherBySUSE"> <meta itemprop="description" content="What was the problem? Our aim was to build, package, test and distribute curated and trusted containers at scale in an automated way. Those containers can be of any nature, meaning that we need a solution that allows us to build any kind of software with any kind of building tools like Maven, Rust, Java, Ant, or Go. The construction of these containers requires the installation of several libraries (which may even conflict) and the orchestration of complex workflows with several integrations, executed either on a scheduled basis or triggered by events from external systems."> -<meta itemprop="dateModified" content="2025-05-11T16:45:10+02:00" /> +<meta itemprop="dateModified" content="2025-05-11T16:49:00+02:00" /> <meta itemprop="wordCount" content="361"><meta itemprop="image" content="/images/feature-image.png"/> <meta itemprop="keywords" content="" />