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Applied Cloud Stories

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We are delighted to announce the Applied Cloud Stories initiative by Microsoft!

Applied Cloud Stories is a call for new content created by independent community members, focusing on practical stories about scenarios and workloads that can run on Azure. The goal of the initiative is to publicize, share, and promote in-depth technical material that demonstrates significant technical value and unique practical relevance in the field. Your stories will help inspire and educate engineers across the globe about how to approach advanced, innovative, and mission-critical cloud scenarios that are solving specific problems.

Applied Cloud Stories is now accepting submissions! Send your story with this form before May 31, 2020 (or until we receive a maximum of 100 stories per category, whichever comes first), and share it on social media with #AppliedCloudStoriesContest hashtag.

Send Story

Applied Cloud Stories

We are delighted to announce the Applied Cloud Stories initiative by Microsoft!

Applied Cloud Stories is a call for new content created by independent community members, focusing on practical stories about scenarios and workloads that can run on Azure. The goal of the initiative is to publicize, share, and promote in-depth technical material that demonstrates significant technical value and unique practical relevance in the field. Your stories will help inspire and educate engineers across the globe about how to approach advanced, innovative, and mission-critical cloud scenarios that are solving specific problems.

Applied Cloud Stories is now accepting submissions! Send your story with this form before May 31, 2020 (or until we receive a maximum of 100 stories per category, whichever comes first), and share it on social media with #AppliedCloudStoriesContest hashtag.

Send Story
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Timeline

January 20, 2020 - May 31, 2020

Call for content

Call for content is open, participants submit their stories.

June 1, 2020 - June 14, 2020

Commitee review

Committee reviews and votes for a limited number of featured and winning stories.

June 15, 2020

Results are announced

You will be notified whether your story was featured or won.

Timeline

January 20, 2020 - May 31, 2020

Call for content

Call for content is open, participants submit their stories.

June 1, 2020 - June 14, 2020

Commitee review

Committee reviews and votes for a limited number of featured and winning stories.

June 15, 2020

Results are announced

You will be notified whether your story was featured or won.

Categories

We welcome participants to send their stories on the following topics:

  Open Source

We would love to hear about your maintainer stories, stories about open source tools you use on your machines, stories about why you love free software, or other fascinating stories about open source development in the cloud.

  Applications

We would especially love to hear stories of running workloads in widely used, popular, and loved programming languages, such as Java, Python, JavaScript, Go, Rust, and more.

  Big Data + Distributed Systems

Are you working with large-scale data in distributed environments? Do you have stories to share about solving scale or data challenges, or lessons learned managing data infrastructure spanning numerous nodes? We’d like to read your story. We are especially looking forward to it if you are using open-source projects to solve your data challenges. Example good stories may sound like: “What we learned from common failure scenarios”, “How Apache Flink helped us remove barriers and scale our streaming pipelines”, “How Apache Kafka helped us build a real-time analysis platform”, or any other exciting ideas.

  DevOps + Infrastructure

Are you investing time and effort so that you and your teams can ship code better, faster, with more confidence? Do you have stories to share about reducing how long it takes to put something in production, improving testing practices and coverage, automating the whole process and making CI/CD happen, while ensuring smooth rollbacks when the unexpected happens? We would like to read your story. Example good stories may sound like: “From dev to staging to prod: how we automatically build, test, and ship code to our various environments”, or “If we manage to ship broken code in spite of all our tests, it is not the end of the world, and here is why”.

  Machine Learning + Data Science

Are you passionate about machine learning or data science? We would love to hear about how you apply it. Example good stories may sound like: “Putting neural networks under the microscope”, “Cracking open automated machine learning”, “Automating artificial intelligence for hospital decision-making", “Controlling your on-prem cluster using hosted CI/CD”, “What we learned from using Kubeflow with Azure CosmosDB, KeyVault and AKS”, “Kicking off a Kubeflow pipeline based on data updates”, “Lessons from using Azure DevOps/GitHub Actions to bridge multi-cloud, multi-pipeline & multi-stage machine learning”.

  Research

Are you active in computer science research and love when theory meets practice? Do you work in bioinformatics, quantum computing, or with other cutting edge research projects, and run some of your experiments on Azure? We’d really love to learn from you about the challenges you’re solving. Example good stories may sound like: “How we used Azure Pipelines for reproducible paper generation and open source data deployment", "How VS Online and containers helped us do better open source research collaboration", and more.

Categories

We welcome participants to send their stories on the following topics:

  Open Source

We would love to hear about your maintainer stories, stories about open source tools you use on your machines, stories about why you love free software, or other fascinating stories about open source development in the cloud.

  Applications

We would especially love to hear stories of running workloads in widely used, popular, and loved programming languages, such as Java, Python, JavaScript, Go, Rust, and more.

  Big Data + Distributed Systems

Are you working with large-scale data in distributed environments? Do you have stories to share about solving scale or data challenges, or lessons learned managing data infrastructure spanning numerous nodes? We’d like to read your story. We are especially looking forward to it if you are using open-source projects to solve your data challenges. Example good stories may sound like: “What we learned from common failure scenarios”, “How Apache Flink helped us remove barriers and scale our streaming pipelines”, “How Apache Kafka helped us build a real-time analysis platform”, or any other exciting ideas.

  DevOps + Infrastructure

Are you investing time and effort so that you and your teams can ship code better, faster, with more confidence? Do you have stories to share about reducing how long it takes to put something in production, improving testing practices and coverage, automating the whole process and making CI/CD happen, while ensuring smooth rollbacks when the unexpected happens? We would like to read your story. Example good stories may sound like: “From dev to staging to prod: how we automatically build, test, and ship code to our various environments”, or “If we manage to ship broken code in spite of all our tests, it is not the end of the world, and here is why”.

  Machine Learning + Data Science

Are you passionate about machine learning or data science? We would love to hear about how you apply it. Example good stories may sound like: “Putting neural networks under the microscope”, “Cracking open automated machine learning”, “Automating artificial intelligence for hospital decision-making", “Controlling your on-prem cluster using hosted CI/CD”, “What we learned from using Kubeflow with Azure CosmosDB, KeyVault and AKS”, “Kicking off a Kubeflow pipeline based on data updates”, “Lessons from using Azure DevOps/GitHub Actions to bridge multi-cloud, multi-pipeline & multi-stage machine learning”.

  Research

Are you active in computer science research and love when theory meets practice? Do you work in bioinformatics, quantum computing, or with other cutting edge research projects, and run some of your experiments on Azure? We’d really love to learn from you about the challenges you’re solving. Example good stories may sound like: “How we used Azure Pipelines for reproducible paper generation and open source data deployment", "How VS Online and containers helped us do better open source research collaboration", and more.

How it works

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Read the full announcement, ensure your story is qualified to participate and send your story.

All stories will be reviewed by the Applied Cloud Stories Committee of highly technical experts consisting of Azure Engineering, Advocacy, and Industry representatives. The purpose of the Committee is to select outstanding publications in each category. The Committee members will vote to determine a limited number of featured stories and 1 (one) winning story in each category, based on their subjective opinion.

Featured stories in each category will be published at one or several Microsoft technical content platforms, including Azure Dev.to, Azure Medium publication, Open-Source at Microsoft blog to share exceptional stories with a wide audience all over the world, with your permission and with the link to the original.

Winner in each category will receive the title of a Recognized Community Contributor from Microsoft, an opportunity to have a discussion with Azure engineering team, and a non-monetary gratitude prize, including custom art by Ashley McNamara.

We are grateful for every single story we will receive, as each story will contribute to the efforts of raising awareness of practical, in-depth, and innovative approaches to relevant, emerging, uncovered, advanced use cases and scenarios in the industry.

How it works

Read the full announcement, ensure your story is qualified to participate and send your story.

All stories will be reviewed by the Applied Cloud Stories Committee of highly technical experts consisting of Azure Engineering, Advocacy, and Industry representatives. The purpose of the Committee is to select outstanding publications in each category. The Committee members will vote to determine a limited number of featured stories and 1 (one) winning story in each category, based on their subjective opinion.

Featured stories in each category will be published at one or several Microsoft technical content platforms, including Azure Dev.to, Azure Medium publication, Open-Source at Microsoft blog to share exceptional stories with a wide audience all over the world, with your permission and with the link to the original.

Winner in each category will receive the title of a Recognized Community Contributor from Microsoft, an opportunity to have a discussion with Azure engineering team, and a non-monetary gratitude prize, including custom art by Ashley McNamara.

We are grateful for every single story we will receive, as each story will contribute to the efforts of raising awareness of practical, in-depth, and innovative approaches to relevant, emerging, uncovered, advanced use cases and scenarios in the industry.

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What makes my story qualified to participate?

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  • Your story is a written article or video that you published on any accessible-via-Internet resource, that has no more than 1800 words, and that takes no more than 5-7 minutes to watch.
  • Your story is new material, published for the first time between Jan 20 - Mar 15, 2020.
  • Your story has in-depth technical information, contains comprehensive technical details, useful code (or references to code in the external repository), and covers relevant, advanced or innovative use cases, scenarios, or applications running on Azure.
  • The story is authored solely by the participant, and not by someone else.
  • Your story is on a topic that fits under one of the Applied Cloud Stories categories.
  • Some or all examples, workloads or scenarios in your story rely on or use Azure in any way.
  • This is the first story you are submitting for a category. One person can’t submit more than one story per category.
  • The first paragraph of the story mentions it is a part of Applied Cloud Stories initiative, linking back to 'aka.ms/applied-cloud-stories'.
  • You give Microsoft permission to publish and share the content on the Microsoft online resources and social media. You will still own all the rights to your submission.
  • You are not a Microsoft employee.
  • The content is in English.
  • Open only to IT Devs 14+. Ends 3/15/2020. See Official Rules for details.

What makes my story qualified to participate?

  • Your story is a written article or video that you published on any accessible-via-Internet resource, that has no more than 1800 words, and that takes no more than 5-7 minutes to watch.
  • Your story is new material, published for the first time between Jan 20 - Mar 15, 2020.
  • Your story has in-depth technical information, contains comprehensive technical details, useful code (or references to code in the external repository), and covers relevant, advanced or innovative use cases, scenarios, or applications running on Azure.
  • The story is authored solely by the participant, and not by someone else.
  • Your story is on a topic that fits under one of the Applied Cloud Stories categories.
  • Some or all examples, workloads or scenarios in your story rely on or use Azure in any way.
  • This is the first story you are submitting for a category. One person can’t submit more than one story per category.
  • The first paragraph of the story mentions it is a part of Applied Cloud Stories initiative, linking back to 'aka.ms/applied-cloud-stories'.
  • You give Microsoft permission to publish and share the content on the Microsoft online resources and social media. You will still own all the rights to your submission.
  • You are not a Microsoft employee.
  • The content is in English.
  • Open only to IT Devs 14+. Ends 3/15/2020. See Official Rules for details.
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We specifically encourage submitting important but uncovered subjects that have little available information and examples. You can increase the chances of your story to be featured or to win when it:

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  Is comprehensive and understandable.

  Is covered in-depth, with an extensive level of technical detail, and has useful examples.

  Shows major significance of the topic to the field and its practical relevance.

  Focuses on a relevant topic, which is generally uncovered, insufficiently covered, unique, outstanding, advanced, or hard to understand in your category.

  Is comprehensive and understandable.

  Is covered in-depth, with an extensive level of technical detail, and has useful examples.

  Shows major significance of the topic to the field and its practical relevance.

  Focuses on a relevant topic, which is generally uncovered, insufficiently covered, unique, outstanding, advanced, or hard to understand in your category.

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Do I have to use specific Azure products and services in my story?

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No. We require at minimum the use of some part of the Azure platform within your story; for example if you were writing about large-scale data processing, it doesn't have to be using Azure Databricks or HDInsight,Spark on Azure VMs is sufficient. We are not looking for tutorials that explain how to apply Azure services to solve the task. We are more interested to hear stories focused on challenges relevant in the industry, and approaches to solve them, that don’t necessarily have to use specific Azure services. For example, your story absolutely qualifies if it happens to involve multiple open-source projects used (but zero managed Azure services) and running on top of Azure infrastructure. If someone participates in the Machine Learning category, it doesn’t mean they’d have to show how they use Azure Cognitive Services or Azure Machine Learning. They can decide to use open-source TensorFlow on pure Azure VMs on in containers – this is great! We would like to hear about people’s scenarios and technology choices first, without making it about Azure products.

Do I have to use specific Azure products and services in my story?

No. We require at minimum the use of some part of the Azure platform within your story; for example if you were writing about large-scale data processing, it doesn't have to be using Azure Databricks or HDInsight,Spark on Azure VMs is sufficient. We are not looking for tutorials that explain how to apply Azure services to solve the task. We are more interested to hear stories focused on challenges relevant in the industry, and approaches to solve them, that don’t necessarily have to use specific Azure services. For example, your story absolutely qualifies if it happens to involve multiple open-source projects used (but zero managed Azure services) and running on top of Azure infrastructure. If someone participates in the Machine Learning category, it doesn’t mean they’d have to show how they use Azure Cognitive Services or Azure Machine Learning. They can decide to use open-source TensorFlow on pure Azure VMs on in containers – this is great! We would like to hear about people’s scenarios and technology choices first, without making it about Azure products.

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Applied Cloud Stories Committee

Applied Cloud Stories Committee

Not familiar with Azure or are facing technical challenges while composing your story?

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We’d like to know how we can help. If Azure platform or services pose a roadblock on your way to participating in Applied Cloud Stories, we’d like to learn why and how we can do better for you. We will share your feedback and thoughts directly with Azure Engineering teams to let them know what is important for you. We appreciate your thoughts or feedback.

Not familiar with Azure or are facing technical challenges while composing your story?

We’d like to know how we can help. If Azure platform or services pose a roadblock on your way to participating in Applied Cloud Stories, we’d like to learn why and how we can do better for you. We will share your feedback and thoughts directly with Azure Engineering teams to let them know what is important for you. We appreciate your thoughts or feedback.

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