DevOps pipeline for infrastructure

As an infrastructure engineer—also called an operations engineer (Ops) or a DevOps engineer—you are responsible for building the environment necessary to host and run applications. Most of the time, this means a cloud environment, which can be either running on top of a virtual machine (VM) or in containers. Please see the architecture diagram below, which illustrates a general DevOps pipeline process applicable to an infrastructure engineer or an architect.

The high-level step-by-step process is listed below:

1. A DevOps pipeline job is triggered.
2. The pipeline job executes a task to check out the code from a Source Control Management (SCM), like GitHub or GitLab. This SCM includes the DevOps pipeline script and configuration management tools (e.g., Ansible or Bash) to be executed by the DevOps pipeline job steps.
3. The DevOps pipeline authenticates to an SCM and checks out the code.
4. The DevOps pipeline executes the job based on the steps outlined by the DevOps pipeline.
5. To build a cluster or perform any infrastructure-related activity, an ephemeral pipeline agent is usually needed. A DevOps pipeline authenticates with an image registry (e.g., Quay, Artifactory, DockerHub) and pulls an image that is used for spinning out the pipeline agent.
6. A temporary pipeline agent, which usually already has the scripts, libraries, and tools (another use for Ansible) necessary to execute the scripts from the SCM, spins out and performs actions based on the DevOps pipeline script's instructions.
7. If the requested infrastructure pipeline action is about building or customizing an image, the temporary pipeline agent may pull the additional images from the image registry or push them to the image registry. The pipeline agent shuts down after the execution.
8. If the requested infrastructure pipeline action is about creating, updating, or deleting a cluster, the temporary pipeline agent may authenticate and then perform the infrastructure operation activity. The pipeline agent shuts down after the execution.
9. After a pipeline action completes, the pipeline notifies the engineering team or stakeholders of the result, either through an email or another messaging platform like Element, Microsoft Teams, or Slack.

• 1 Indépendance de la classification des exigences
• 2 Traçabilité des exigences
  • 2.1 Définition
  • 2.2 Illustration
• 3 CMMI
  • 3.1 Comprendre et intégrer les exigences au projet
  • 3.2 Valider les exigences
  • 3.3 Gérer le changement
• 4 Cela peut impliquer de produire
  • 4.1 Maintenir la traçabilité des exigences
• 5 Wiki et exigences
• 6 Outils
• 7 Notes et références
• 8 Voir aussi
  • 8.1 Articles connexes

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Hypotheses

Hypotheses are critical assumptions about how a business will work, and include assumptions about target market, pricing, and competitors.[5][18] Together, hypotheses make up the business model for a startup.[5][18]

Testing hypotheses means that the founder has to “get out of the building” and answer three questions about the business:

1. Do we really understand the customer's problem or need?
2. Do enough people outside of the company care about the problem to deliver huge business?
3. Will people care enough to tell their friends, which will help grow the business quickly?[5][22]

Hypotheses can be tested in several ways. Creating an MVP is one way to quickly test mockups and ideas in the real world, especially with Web and mobile startups.[5][21]

Hypotheses change as a result of testing and customer feedback.[5][17][18] The changed hypotheses are incorporated into new iterations of the startup business model.[5][17][18]